<p>Company : Highmark Health Job Description : JOB SUMMARY We are on a mission to deliver remarkable health experiences, freeing people to be their best. This requires an advanced 360 person-centered approach to deliver the right message, guidance, care, outcome, and experiences, all at the right time. This Sr Engineering role on the team will help lead us towards the combined digital and data transformation, modernizing from core Master Data Management (MDM) platforms and processes towards more open and forward oriented platforms, patterns, and architectures. On an ongoing basis, you will collaborate and/or lead various technical engagements to scope, deliver, and support core operational systems focusing on delivering a Person-360 ecosystem. These patterns and platforms will serve as foundational to an enterprise 360 approach, improving individuals experiences and business outcomes. Working in a distributed team, you can influence and lead both technical and non-technical cross-functional team members, building trust and momentum with stakeholders, prioritizing outcomes over activity. You will be pragmatic in modernizing technology by pairing innovation and transformation with business requests and customer experiences. ESSENTIAL RESPONSIBILITIES In partnership with other business, platform, technology, and analytic teams across the enterprise, design, build and maintain well-engineered data solutions in a variety of environments, including traditional data warehouses, Big Data solutions, and cloud-oriented platforms. Create high performance cloud and big data systems to be used with operational and analytic applications. Work with internal and external platforms and systems to connect and align on data sourcing, flow, structure, and subject matter expertise. Work with business stakeholders and strategic partners to implement and support operational and analytic platforms. This may include products purchased by the organization that must be ingested or modeled/derived data maintained by enterprise platforms and data consumers. Working across multiple, disparate systems and platforms, design, code, test, implement, and maintain scalable and extensible frameworks that support data engineering services. Align with security, data governance and data quality programs by driving assigned components of metadata management, data quality management, and the application of business rules.Develop and maintain associated data engineering processes and participate in required operating procedures as part of the enterprises overall information management activities.Includes data cleansing, standardization, technical metadata documentation, and the de-identification and/or tokenization of data. Develop, optimize and/or maintain machine learning and AI engineering processes (MLOps) that are deployed to cloud or big data environments.These may be based on prototypes built by data scientists or capability frameworks implemented to allow data scientists to build efficiently in production environments. Develop tasks across multiple projects with limited need for guidance. This includes providing guidance and education to Intermediate and Junior contributors within team. Manage relationships with customers of the function. Attend meetings with customers on a stand-alone basis or with team as needed. Establish standards and patters for high performance data ingestion, transformation, and delivery of data analytic needs. Keep current with Big Data technologies in order to recommend best tools in order to perform current and future work Other duties as assigned or requested. EDUCATION Required Bachelor's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related field Substitutions None Preferred Master's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related field EXPERIENCE Required 5 years in Data platform development, data engineering, software development, or data science 3 years in Big data or cloud data platform Preferred 5 years in Healthcare Industry or Financial services/Banking or similar highly regulated industry 5 years of Data Warehousing experience 3 years of cloud data warehousing experiences with preference for GCP 3 years of experience with Databricks 3 years of experience with MDM systems with preference for Informatica Advanced knowledge of data movement and integration platforms with preference for Pub/Sub and Kafka Advanced knowledge of governance platforms and practices to include metadata catalog integration, AuthN/AuthZ Entitlements platforms and workflows, etc. LICENSES AND CERTIFICATIONS Required None Preferred Cloud certification (GCP, Azure, AWS) SKILLS SQL Data Warehousing Problem-Solving Communication Skills Analytical Skills Spark or Python or related tool Cloud Technologies ? Language (Other than English): None Travel Requirement: 0% - 25% PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS Position Type Office-based Teaches / trains others regularly Rarely Travel regularly from the office to various work sites or from site-to-site Does Not Apply Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required No Lifting: up to 10 pounds Constantly Lifting: 10 to 25 pounds Occasionally Lifting: 25 to 50 pounds Rarely Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job. Compliance Requirement : This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies. As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Companys Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employees responsibility to comply with the companys Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements. Pay Range Minimum: $78,900.00 Pay Range Maximum: $146,000.00 Base pay is determined by a variety of factors including a candidates qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, age, religion, sex, national origin, sexual orientation/gender identity or any other category protected by applicable federal, state or local law. Highmark Health and its affiliates take affirmative action to employ and advance in employment individuals without regard to race, color, age, religion, sex, national origin, sexual orientation/gender identity, protected veteran status or disability. EEO is The Law Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity ( https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf ) We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact number below. For accommodation requests, please contact HR Services Online at HRServiceshighmarkhealth.org California Consumer Privacy Act Employees, Contractors, and Applicants Notice Req ID: J252318</p>

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

Senior Data Engineer

Remote - US

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  .

What You Will Be Doing

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Your Qualifications

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.

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.

Leadership  : Experience leading or mentoring data engineering teams, providing hands-on guidance for AI/ML-related projects and collaborating with cross-functional teams.

Cloud and Big Data  : Strong experience with  cloud platforms  and  big data technologies  , particularly in the context of  AI/ML model development  .

A few things we have to offer:

Competitive compensation

Great Healthcare + Dental + Vision

Flexible PTO

Culture of support, encouraging Life-Work balance

401k match

FSA and HSA options

Employee Assistance Program

Paid Parental Leave

Representing a company with 4,000+ clients and a 99% retention rate

Accelerated title and salary growth potential

A fun and energetic work environment that makes you excited to go to work every day

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.

Data Engineer Jobs in East Montpelier, VT

Senior Big Data Engineer Person360 Mdm
November 30, 2024

Senior Data Engineer Remote
November 29, 2024

Senior Data Engineer
November 27, 2024

Quick filters

Top companies

Data Engineer Jobs in East Montpelier, VT

Senior Big Data Engineer Person360 MdmNovember 30, 2024

Senior Data Engineer RemoteNovember 29, 2024

Senior Data EngineerNovember 27, 2024

Quick filters

Top companies

Senior Big Data Engineer Person360 Mdm
November 30, 2024

Senior Data Engineer Remote
November 29, 2024

Senior Data Engineer
November 27, 2024