Title:  Data Engineer - Manager

Location:  Remote, US

Duration:  6 months contract

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it's about each person bringing skills and passion to a challenging and constantly evolving game.
WHAT YOU WILL WORK ON
Design, implement, and maintain database management systems, data warehouses, and data infrastructure
Develop database standards, policies, guidelines, and quality assurance procedures
Create conceptual, logical, and physical data models and database schemas
Extract, transform, and load data from various sources into databases and data warehouses
Build efficient and reusable ETL processes for data integration and preparation for analysis
Create database reports, dashboards, and visualizations to make data usable for business analysts and leadership
Implement data security and access controls
Monitor database performance and optimize as needed
Document database design, processes, and procedures
WHAT YOU BRING
Bachelor's degree in Computer Science, Information Systems, or related field
10+ years of experience as a data engineer or database developer
Expertise with SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB, etc.
Experience with data pipelines, ETL, and data warehousing
Knowledge of programming languages like Python, Java, Scala, Spark, etc.
Understanding of data modeling, database design, and data structures
Working knowledge of business intelligence and data visualization tools
Excellent analytical, communication, and problem-solving skills

Published on 18 Nov 2024, 7:34 PM

Cleo is a cloud integration technology company focused on business outcomes. Every day, we ensure that each one of our 4,000+ customers' potential is realized by delivering solutions that make it easy to discover and create value through the connections and integration of enterprise applications supporting critical workflows. By providing the industry’s most complete and flexible integration offerings, we are helping our clients build trusted relationships across their partner ecosystems today, while providing all the control and visibility they need to advance their business tomorrow. In a nutshell, Cleo is a rapidly growing category leader in ecosystem integration software and we have experienced tremendous growth over recent years.The Senior Data Engineer is a hands-on leader responsible for designing, developing, and maintaining data pipelines and infrastructure at Cleo. This role involves setting the strategy for data systems, collaborating closely with cross-functional teams, and ensuring the scalability, reliability, and efficiency of data solutions. The Senior Data Engineer will focus on data infrastructure needs for AI/ML models, overseeing the creation of a data warehouse and associated systems from scratch, and ensuring data is properly transformed and optimized for machine learning and artificial intelligence applications. This role is integral to building the processes that support data transformation, data structures, metadata management, data quality controls, and workload management.<h3>What You Will Be Doing</h3><ol><li>Lead the Design and Build of Data Pipelines: Develop and maintain scalable, reliable, and efficient data pipelines that collect, process, and store large datasets. Ensure these systems are optimized for AI/ML model training and inference.</li><li>Set Data Infrastructure Strategy: Define and execute the strategy for building and maintaining data warehouses, data lakes, and other data storage systems that support both operational and analytical needs. Ensure systems are optimized for AI/ML model workflows.</li><li>Hands-On Data Transformation for AI/ML Models: Design and implement data transformation processes, including feature engineering, data preprocessing, and data augmentation, to ensure data is in the right format for machine learning models.</li><li>Build Data Structures and Metadata Management: Build and manage the data structures, metadata repositories, and related systems that support data transformation, ensuring the organization has well-documented, accurate, and accessible data for AI/ML workflows.</li><li>Data Quality Controls and Risk Management: Establish and implement data quality controls to ensure that data used in machine learning models is clean, consistent, and accurate. Identify and raise risks at all stages of the data engineering process, including data ingestion, transformation, and storage.</li><li>Collaborate with Cross-Functional Teams: Work closely with data scientists, ML engineers, product managers, and business leaders to understand data requirements and ensure data systems meet the needs of AI/ML initiatives. Provide hands-on leadership to guide teams in transforming data for model training.</li><li>ETL Development and Optimization for AI/ML: Lead the development and optimization of ETL (Extract, Transform, Load) processes for ML/AI data. Focus on efficiently moving and transforming large datasets, ensuring data quality and readiness for model training and deployment.</li><li>Optimize Data for Model Training and Inference: Ensure data pipelines are designed to support the needs of AI/ML model training, such as handling large volumes of data, managing data quality, and enabling fast model iteration.</li><li>Data Governance for AI/ML: Define and implement data governance practices to ensure the secure, compliant, and ethical use of data in AI/ML workflows.</li><li>Stay Current: Keep up with emerging trends in data engineering, particularly those related to AI/ML model development, and implement best practices to optimize data systems for machine learning.</li></ol><h3>Your Qualifications</h3><ol><li>Experience: 5-7+ years of experience in data engineering, with a focus on transforming data for AI/ML models and optimizing data systems to support machine learning and artificial intelligence workflows.</li><li>Hands-On Expertise: Proven experience in hands-on data transformation and building data pipelines for AI/ML, including data preprocessing, feature engineering, and model-specific data handling.</li><li>Leadership: Experience leading or mentoring data engineering teams, providing hands-on guidance for AI/ML-related projects and collaborating with cross-functional teams.</li><li>Cloud and Big Data: Strong experience with cloud platforms and big data technologies, particularly in the context of AI/ML model development.</li></ol><h3>A few things we have to offer:</h3><ol><li>Competitive compensation</li><li>Great Healthcare + Dental + Vision</li><li>Flexible PTO</li><li>Culture of support, encouraging Life-Work balance</li><li>FSA and HSA options</li><li>Employee Assistance Program</li><li>Representing a company with 4,000+ clients and a 99% retention rate</li><li>Accelerated title and salary growth potential</li><li>A fun and energetic work environment that makes you excited to go to work every day</li></ol>Cleo Communications, LLC is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status or any other characteristic protected by law.
#J-18808-Ljbffr

Become a part of our caring community and help us put health first

You have the unique opportunity to join the Integrated Health technology team and help enable seamless delivery of health and care services to the customer across their journey through the ecosystem. Integrated Health will continue to bring the CenterWell assets closer together leveraging patient experience initiatives as a core driver to developing cross-asset capabilities and leveraging data in new ways.

If this type of work and vision resonates with you, we would love to talk to you!

The Senior Data Engineer Designs, builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at enterprise scale. The Senior Data Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

The Senior Data Engineer ingests data from internal and external sources utilizing cloud native platforms and software development best practices and patterns. Develops software tools that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions that enables us to better serve our customers. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

Required Qualifications

Bachelor's Degree in Computer Science, IT or equivalent and relevant experience in lieu of degree.

5 or more years' experience as a senior developer in large IT projects

Data Engineering experience implementing data pipelines, data lakes, and data warehouses to support large-scale data processing and analytics Familiarity with ETL/ELT tools (i.e. Apache Airflow, Talend, Informatica), Big Data Tools (i.e. Apache Hadoop, Spark), Stream Processing (i.e. Kafka, AWS Kinesis, Azure Event Hubs, Apache Beam) and Data Orchestration tools

Strong experience with cloud platforms (AWS, Azure, GCP)

Knowledge of RESTful APIs, microservices architecture and serverless computing

Preferred Qualifications

Certifications in cloud technologies (i.e. AWS Certified Big Data, Azure Data Engineer Associate, GCP Data Engineer)

Experience with CI/CD pipelines and DevOps practices

Familiarity with GraphQL schema design and implementation

Familiarity with containerization technologies (Docker, Kubernetes)

Prior project lead experience

Use your skills to make an impact

Work-At-Home Requirements

WAH requirements: Must have the ability to provide a high-speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.

A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.

Satellite and Wireless Internet service is NOT allowed for this role.

A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$104,800 - $144,300 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

About us

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.

Summary:

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Required Skills:

Data Engineer, Product Analytics Responsibilities:

Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems

Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve

Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way

Define and manage Service Level Agreements for all data sets in allocated areas of ownership

Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership

Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains

Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources

Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts

Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Influence product and cross-functional teams to identify data opportunities to drive impact

Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent

7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions

7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Preferred Qualifications:

Preferred Qualifications:

Master's or Ph.D degree in a STEM field

Public Compensation:

$173,000/year to $242,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

As the nation's largest community credit union, we begin every day focused on delivering superior financial products and services for our 1.3 million members and more than $30 billion in managed assets. Our work has an economic impact as we support our members' financial goals. We are unapologetic about being devoted to our members and the communities we serve. Our business is guided by our people helping people philosophy – which includes our team members.

BECU has been in business for more than 85 years, driven by unwavering core values and a dedication to improving the communities we serve. While we have a rich history, the future of our company, accelerated by business and technology transformation, is even brighter. There's never been a better time to work for BECU.

To learn more visit becu.org/careers.

PAY RANGE

The Target Pay Range for this position is $134,200.00-$164,000.00 annually. The full Pay Range is $104,200.00 - $194,000.00 annually. At BECU, compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. Should an offer for employment be made, we will consider individual qualifications. In addition to your salary, compensation incentives are available for the hired applicant. Incentives are performance based and targets vary by role.

BENEFITS

Employees and their eligible family members have access to a wide array of employee benefits, such as medical, dental, vision and life insurance coverage. Employees have access to disability and AD&D insurance. We also offer health care and dependent care flexible spending accounts, as well as health savings accounts, to eligible employees. Employees are able to enroll in our company’s 401k plan and employer-funded retirement plan. Newly hired employees accrue 6.16 hours of paid time off (PTO) on a per pay period basis based on hours worked (up to a maximum of 160 PTO hours per year) and receive ten paid holidays throughout the calendar year. Additional details regarding BECU Benefits can be found here .

IMPACT YOU’LL MAKE:

As a Sr Data Engineer at BECU, you’ll play a critical role in crafting data workflows and designing scalable solutions that drive business value. Your expertise in data engineering will enable you to mentor peers, contribute to system architecture, and develop innovative solutions that align with business objectives. By collaborating closely with teams across the organization, your contributions will directly enhance BECU’s data infrastructure and promote best practices in data management and governance.

To join our dynamic team, we require candidates to be residents of WA, OR, ID, AZ, TX, GA, or SC. If you call any of these states home, you're in luck! We offer the flexibility of remote work for residents in these locations, allowing you to contribute from the comfort of your own home.

WHAT YOU’LL DO:

Develop and Implement Solutions: Design and develop multi-tier systems, focusing on analysis, coding, testing, debugging, and comprehensive documentation.

Mentor and Support Teams: Guide and mentor data engineering teams, helping to automate and enhance business data processes with minimal supervision.

Engage the Engineering Community: Present and share technical expertise with the broader engineering community, enhancing knowledge-sharing across teams.

Coordinate Complex Workflows: Lead the design and development efforts of sophisticated data workflows, translating technical requirements into efficient data pipelines.

Create Prototypes and Proofs of Concept: Utilize your technical knowledge to design and support the implementation of prototypes, proofs of concept, and data solutions.

Implement Data Policies: Integrate metadata management and master data policies into data workflows, ensuring data governance practices are upheld.

Guide Data Curation: Organize and implement data curation practices as specified by technical requirements, ensuring data quality and consistency.

Lead Code and Design Reviews: Mentor teams in code development, participate in reviews, and uphold coding standards that foster code quality and extensibility.

Collaborate on Technology Roadmaps: Partner with Architects and Product Owners to design and document technology roadmaps that align with strategic objectives.

Develop Training Plans: Work with leadership to create training programs that enhance data engineering skills within the team.

Promote Code Standards: Support and enforce coding standards and assist senior staff in developing and refining those standards to ensure quality code across teams.

This isn’t just about ticking off tasks on a list. It's about making a significant, positive change in BECU’s journey, where your contributions are valued, and your growth is continually fostered.

WHAT YOU’LL GAIN:

Leadership Opportunities: The chance to mentor and lead teams, influencing the next generation of data engineers at BECU.

Innovation and Impact: Work on complex data projects that drive BECU’s success and position you as a key player in the data engineering space.

Collaborative Environment: Partner with cross-functional teams, gaining exposure to a range of perspectives and fostering continuous learning.

Professional Development: Access to training plans and opportunities to grow your technical expertise and leadership capabilities.

Recognition and Visibility: Engage with technical leadership and present solutions that impact the entire organization.

QUALIFICATIONS: Minimum Qualifications:

Bachelor’s degree in Computer Science or related discipline, or equivalent work experience.

At least 5 years of experience in data engineering.

Minimum of 4 years coding in Python, Scala, Java, or SQL.

Experience using cloud technologies (e.g., Azure, AWS, GCP).

Experience with modern data platforms (e.g., Azure Synapse, Databricks, Redshift, Big Query, Snowflake).

Experience with ETL/ELT, SQL, and cloud data integration tools (e.g., Azure Data Factory, AWS Glue, Informatica).

Experience in SQL, data modeling, data warehousing, and data analysis.

Desired Qualifications:

Experience with master data (MDM), metadata, and data governance tools (e.g., Alation, Erwin, Collibra, Azure Purview, Informatica MDM).

Proficiency with CI/CD tools (e.g., Azure DevOps, GitHub) and version control practices.

Familiarity with git, code reviews, pull requests, and branching standards (e.g., Git Flow, Trunk-Based Development).

Experience with Test Driven Development, unit testing, integration testing, and performance testing.

Ability to deliver scalable data solutions compatible with existing technical environments throughout the data lifecycle.

Experience leading and collaborating with teams across the SDLC.

Experience with complex data solutions and analytics engines.

JOIN THE JOURNEY:

Ready to make an indelible impact? Eager to be part of a collaborative and innovative team where your ideas and contributions don’t just fill a role, but fuel the growth and success of BECU? This is more than a job – it’s a chance to elevate your career, skills, and future, all while contributing to the robust technological landscape of BECU.

Embrace the opportunity to grow with us. Apply now, bring your expertise to the table, and let’s achieve excellence together at BECU. Your journey of influence, innovation, and impactful contribution starts now. #BECU #YourGrowth #BECUJourney

EEO Statement:

BECU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.

Job Alerts: If you would like to be kept informed of new potential opportunities, click here (https://becu.wd1.myworkdayjobs.com/en-US/External/jobAlerts) . You will be asked to create an account if you do not already have one.

From our very beginning, BECU has been about people helping people. As a financial services cooperative, our purpose has and always will be the same: we work together to best serve our members and improve the financial well-being of our community. More than 80 years and one million members later, we're still rooted in our values, practices and mission - and even more passionate about our future.

As one of the nation's leading credit unions, we're not driven by profit. We're owned by our members and their interests are at the core of everything we do. Now we're growing faster than ever before--but we'll never forget our roots. To continue doing right by our members, we believe we must first do right by our people. Here, you'll receive the resources and support you need to learn, grow and build a meaningful career. Because we know it's our people who make us special.

Overview

GovCIO is currently hiring for a Sr. Cloud Azure Data Engineer. This position is a fully remote position within the United States.

Responsibilities

The ideal candidate will have a proven track record in leading and delivering Azure Data Analytics solutions with Enterprise level organizations. We are seeking someone who can enable advance analytic capabilities preparing a data lake by ingesting raw data from authoritative sources using defined patterns and curating the same to publish data products, using cloud native tools. You will be highly proficient working with business stakeholders and directing project teams and will have direct experience of a range of BI Tools and Platforms.

A proven track record designing and developing enterprise level data platforms. You will manage your own as well as others’ performance to deliver high quality, highly performant solutions to our customer.

You will be responsible for the design of solutions which will include:

Solution design using Microsoft Azure services and related tools

Design of enterprise data models and Data solutions

Specification of ELT (Extract, load and transform) pipelines, data integration and data migration design, with low code no code tools

Design & implementation of Master data management solutions

Specification of Data Quality Management methodology and supporting technology tools

Working within a project management/agile delivery methodology in a leading role as part of a wider team

Deal with other stakeholders/end users in the software development lifecycle – PMs, BAs, testing etc

Qualifications

Bachelor's degree in computer science, or other engineering or technical discipline is required plus 8 years of experience,4 years of additional relevant experience may be substituted for education

At least 2 years of Azure experience required

Direct experience of solution shaping and architecture development during planning & delivery including excellent documentation skills

Strong evidence of Data modeling, mapping data flows and data design

ELT experience

Hands-on experience solutioning and implementing analytical capabilities using the Azure Data Analytics platform including, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse/Synapse, Azure Data Lake

Experience in the design of reporting & data visualization solutions such as Power BI or Tableau

Experience with Master Data Management & Data Quality tools

Experience designing and implementing machine learning solutions as part of high-volume data ingestion and transformation pipelines

Microsoft Azure Data Platform certification ideal (DP-200, DP201)

Preferred Skills and Experience

Python

Azure DataBricks

Clea   rance Required  : Ability to obtain and maintain a Suitability/Public Trust

Company Overview

GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens.

But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer?

We are an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets.

Posted Pay Range

The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an “at-will position” and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors.

Posted Salary Range

USD $120,000.00 - USD $140,000.00 /Yr.

Submit a referral to this job (https://careers-govcio.icims.com/jobs/5174/senior-data-engineer-%28remote%29/job?mode=apply&apply=yes&in_iframe=1&hashed=-1834385473)

Location   US-Remote

ID   2024-5174

Category   Information Technology

Position Type   Full-Time

Overview

Position Overview:

In this role you will bean integral partofthe Data Engineering teamresponsible forbuildinghighquality,robust and scalable data platform environmentsand solutions to supportour data lake and data warehouse environments. Our team collaboratesclosely withotherengineering,analyticsand data scienceteamstoidentifyand implementoptimaldatasolutionsfortheWellframeplatform.

About Wellframe:

With Wellframe, we reimagine healthcare relationships througha new approachthat uses high-tech to deliver the high-touch support people need, when and where they need it. We call it Digital Health Management. Our comprehensive suite of Digital Health Management solutions for care management, advocacy, and navigation help organizations forge more meaningful connections with members, across their healthcare journey.Wellframewas founded to counter a pressing industry problem: the healthcare system has struggled to find ways to support people in between care settings, at scale. We believe health plans are in the best position to advocate for their members as they navigate their health andcare, butknow that technology alonecan’thelp us achieve this ambition.That’swhy our team of physicians, clinicians, public health experts, data scientists, engineers, and healthcare industry experts ensure our patented technology works in service of the person-to-person connections that make healthcare work best. The complete suite of solutions fromHealthEdgedelivers a digital foundation for payers specifically designed to fuel a digital transformation, reduce costs, and improve both clinical outcomes and the member experience.

Your Impact:

Translate technical stories into software solutions

Create data processing pipelines and solutions toacquireandtransform data from various sources(structured,nonstructured)

Ensure the reliability and efficiency of our data platform, object storage, and data warehouse environments.

Create and refine backlog to translate business requirements into data solutions

Create andvalidatetechnical designs with other engineers

Communicate technical decisions effectively with relevant stakeholders

Maintain a high standard for code quality for yourself and others on the team, including automated testing

Take technical ownership in areas of a project where applicable, contributing to technical design, development, testing and on time delivery with high quality

Debug and fix challenging production issuesto ensure data and platform availability

Participate in on-call rotation to ensure exemplary uptime and reliability

Work with customer support to triage, diagnose, and resolve bugs

Identifyand lead process and technology improvements

Identifyprocess,toolingand feature improvements to improve product quality and engineering productivity

Contribute to the team’s roadmap for implementing technical and process improvements

What You Bring:

BS or MS in Computer Science, ComputerEngineeringor closely related field

At least3 years of experience with cloud-based environments like GCP, AWS, Azure

At least3 years of experience writing object-oriented code with languages like Python

Experience with pipeline orchestration tools like Apache Airflow,Airbyte,Dagster, or AWS Glue.

Experience with cloud data warehouses likeBigQuery, Snowflake, or Redshift.

Experience with relational/transactional databases such as PostgreSQL, MongoDB, or MySQL.

Experience with event streaming systems like Kafka, Pub-Sub, or ActiveMQis preferred

Understanding of large data processing systems likeDataBricks, Sparkis preferred

Strong communicationand collaboration skills, comfortable explaining technical problemstoanon-technicalaudience.

Excellent analytical abilities and problem-solving skills, with a strongcapacityto translate business requirements into effective data solutions.

Possesses a keen eye foridentifyingdata patterns and a passion for continuous improvement, combined with a love for data and a flair for creativity!

Demonstrates a keen interest in understanding the products that the data supports, ensuring alignment between data insights and business objectives

Accepts feedback graciously

Strives not to commit the same mistake twice

Staysup to dateon industry best practices andnew technologies

Promotes quality through automated testing and other measures

Strong senseof ownership

Thrives on diverse technical challenges

Passionate aboutleveragingtheir technical skills to help improve patient care

Works effectively in a fast-paced, agile startup environment

HealthEdge commits to building an environment and culture that supports the diverse representation of our teams. We aspire to have an inclusive workplace. We aspire to be a place where all employees have the opportunity to belong, make an impact and deliver excellent software and services to our customers.

Geographic Responsibility: WhileHealthEdgeislocatedinBurlington, MA you may live anywhere in the US

Type of Employment: Full-time, permanent

Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:

The employeeis occasionally required tomove around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

Work across multiple time zones in a hybrid or remote work environment.

Long periodsof time sitting and/or standing in front of a computer using video technology.

May require travel dependent on company needs.

The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990. Candidates may be required to go through a pre-employment criminal background check.

HealthEdge is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women, veterans and persons with disabilities.

#LI-Remote

Job Locations US-Remote

ID 2024-4955

Category Engineering

Position Type Full-Time

HealthEdge provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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December 1, 2024

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November 29, 2024

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November 26, 2024

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Data Engineer ManagerDecember 10, 2024

Senior Data EngineerDecember 10, 2024

Senior Data Engineer Integrated HealthDecember 10, 2024

Data Engineer Product AnalyticsDecember 1, 2024

Sr Data EngineerDecember 1, 2024

Senior Data Engineer RemoteNovember 29, 2024

Data EngineerNovember 26, 2024