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.

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 DoingLead 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 QualificationsExperience : 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 compensationGreat Healthcare + Dental + VisionFlexible PTOCulture of support, encouraging Life-Work balanceFSA and HSA optionsEmployee Assistance ProgramRepresenting a company with 4,000+ clients and a 99% retention rateAccelerated title and salary growth potentialA fun and energetic work environment that makes you excited to go to work every dayCleo 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.
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JOB TITLE: Data Engineer REQUISITION: CHI0055 DEPARTMENT: Operations Analytics- Topeka Operations Center or F&M Service Center LOCATION: Topeka, KS / Kansas City, MO PAY RANGE: Data Engineer I: $55,200 - $69,000 Data Engineer II: $67,500 - $84,400 Sr Data Engineer: $76,400 - $101,800 Lead Data Engineer: $89,900 - $119,900 Scheduled Work Hours: Flexible hours Monday - Friday, 7:00 a.m. - 5:00 p.m. (Other hours as required) Summary of Primary Duties and Responsibilities: This role, under the supervision of the Manager, Operations Financials and Performance Management, is an integral part of a team dedicated to the advancement of data analytics within Operations. In this role, the engineer will work with team members and stakeholders across Operations to help implement analytics use cases providing management the ability to make data-driven decisions. Analytics use cases would provide benefits that would improve operational efficiencies, proactive asset management, and operational awareness, among others. The engineer in this position will:<ol><li>Connect with both teammates and customers <ul><li>Work with stakeholders to understand the information needs and translate these into technical solutions</li><li>Work closely with a team of Data Science and Data Analysts staff to take existing or new models and convert them into scalable analytical solutions</li></ul></li><li>Implement, maintain, and train peers on Application Lifecycle Management best practices <ul><li>Includes implementation of MS Dev Ops Power Platform Solutions and ALM environments, workflows, and pipelines</li></ul></li><li>Mine data from disparate systems <ul><li>Ability and desire to use statistical programming languages, preferably R or Python, and database querying languages like SQL as well as query data from NoSQL databases</li></ul></li><li>Find, join, and utilize new datasets <ul><li>Demonstrate the capability to proactively identify opportunities for acquiring new data from other systems. This ensures additional datasets are available for further processing by data scientists, transforming raw data into valuable information</li></ul></li><li>Join geospatial datasets together from disparate systems <ul><li>Ability to query and join geospatial datasets to allow data scientists and data analysts to use these datasets in machine learning and visualization capacities</li></ul></li><li>Provide recommendations and implement solutions to improve data reliability, efficiency, and quality <ul><li>Design, build, and manage analytics infrastructure that can be utilized by data analysts, data scientists, and non-technical data consumers, which enables functions of the data platform for Analytics</li><li>Work with business users to design and develop Microsoft Power Platform deliverables including Power BI reports, Power Apps applications, and similar for better decision making</li><li>Perform reliability analysis and reporting to appropriate regulatory agencies</li></ul></li><li>Ensure the architecture that is in place supports the requirements of the data scientists, the stakeholders, and the business</li><li>Develop Applications <ul><li>Ability to build and modify basic software applications to allow field personnel to make improvements quickly</li></ul></li><li>Follow company safety and health guidelines and other company policies</li><li>Perform other work as assigned</li></ol>Education and Experience Requirements: Data Engineer - Requires a bachelor's degree in Computer Science, or Information Systems or similar program. All qualified candidates who meet the minimum qualifications for the role will be considered. Preference will be given to experienced candidates with the ideal candidate having at least four years of related experience mining data, joining SQL and NoSQL data, with geospatial query and joining capabilities, and business analysis skills to manage and manipulate complex data from a variety of sources. Skills, Knowledge, and Abilities Required:<ol><li>The successful candidate will be able to demonstrate the following skills:</li><li>Experience implementing Microsoft ALM / DevOps solutions and lifecycles required, certification in such preferred</li><li>Knowledge of applicable governing codes and regulations</li><li>Basic knowledge of Transmission and Distribution equipment and systems</li><li>Ability to participate constructively in work teams to facilitate and implement improvements to operations, maintenance and business practices</li><li>Proficient use and understanding of computer applications and data systems including the direct acquisition and summarizing of data from various and diverse computer database systems throughout the company</li><li>Working knowledge of SQL, including:<ul><li>Ability to write and optimize complex queries</li><li>Joins, aggregation, indexes, and transactions</li><li>CSV, JSON, XML data formats</li></ul></li><li>Electrical system knowledge <ul><li>A basic understanding of Electric Power System theory and experience in various operational aspects of an electric power Transmission and Distribution systems is preferred.</li></ul></li><li>General understanding of APIs, command line, client server architecture, networks, and (S)FTP</li><li>Prefer experience with GIS, including shapefiles, and spatial indexes</li><li>Excellent written and verbal communication skills</li><li>Ability to handle multiple priorities, meet strict deadlines and work well under pressure on individual and team related basis.</li></ol>Licenses, Certifications, Bonding, and/or Testing Required: Valid driver's license required. Working Conditions: Conditions will vary between office and field environments. Time will be spent in an office as well as the field environment. Travel will be required to support field personnel. Additional overnight travel may be required. Must have a satisfactory work record including good attendance. Work may require additional hours including evenings, nights, weekends and holidays. Evergy has a clear mission - To empower a better future. Evergy chooses to live this mission by valuing People First. We know that to lead the responsible energy transition and provide affordable, reliable, and sustainable service to our customers and communities, we need a team with a variety of backgrounds, perspectives and skills. So, our goal is to be a diverse workforce that is representative of the communities we serve. We are committed to celebrating diversity and building a team where everyone - regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status - has a voice and can bring their best every day. We know that the more diverse and inclusive we are, the better we will be. Evergy is proud to be an equal opportunity workplace and is an affirmative action employer.
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Job Description

The Oracle Cloud Infrastructure Compute team is seeking a passionate, experienced Senior Data and Business Intelligence Engineer ready to tackle complex business and technical challenges through the visualization and analysis of data, in a fast-paced environment. As OCI continues to scale to demands of an ever-growing customer base and regions, we need engineers who can lead data-driven initiatives to ensure OCI continues to provide an outstanding customer experience while continuously improving the efficiency of development processes. The ideal candidate is someone who thrives in the face of ambiguity and can quickly distill abstract ideas into concrete solutions, and has a proven track record of delivering complex business intelligence and reporting solutions across a highly complex environment involving multiple organizations, departments and teams.

Location: ideally Seattle, WA, also open to Austin, TX or Santa Clara, CA - hybrid role 3 days in office

Career Level - IC3

Responsibilities

The Senior Data and Business Intelligence Engineer will be responsible for managing complex data pipelines, dashboards and business intelligence initiatives that impact both product and business for OCI. In addition, this specific role requires a passion for solving high-impact problems and the ability to jump into any in-flight project and get it on the rails.

Specific responsibilities for this role include:

Define and implement business data reporting and analysis requirements.

Perform data modelling and integration activities in data warehouse systems.

Implement business intelligence solutions to achieve data reporting and analysis goals.

Support the development of business intelligence standards to meet business goals.

Coordinate with the business units to identify new data requirements, analysis strategies and reporting mechanisms.

Assist in design and generation of reports in timely and accurate manner.

Train and guide the junior engineers in data reporting and analytical skills.

Recommend enhancements and modifications to optimize business intelligence processes.

Design, build, and maintain automated reporting, dashboards, and deep dives to enable our team to self-service 80% of data needs, allowing you to focus on answering hard and ambiguous problems.

Write high-quality SQL queries to retrieve and analyze data from database tables (ex. Oracle, MySQL).

Build scalable data solutions; data sets, views, queries, reports, dashboards, and scheduled processes.

Troubleshoot code, research root causes, document solutions, and communicate to all stakeholders.

Track reporting and production anomalies.

Ensure data is within required quality standards.

Keeps stakeholders informed about problems and resolutions. Deliver products on schedule and communicate updates regularly.

Identify, track, and resolve data issues, working in partnership with other Business Intelligence Engineers to ensure data is accurate, complete, delivered on-time and supports the needs of the business.

Basic Qualifications

5-8+ years relevant work experience in program and project management

3-5 years of hands-on SQL experience

Bachelor’s or higher degree in Computer Science, Information Technology or Engineering

The candidate must be proficient in Excel and SQL

Ability to effectively represent engineering perspectives to partner organizations, product teams, and executive leadership.

Excellent oral and written communications skills and experience interacting with both business and Development/Engineering staff at all levels including the executive level.

Solid analytical, planning, and interpersonal skills with an ability to handle competing demands.

Strong knowledge and understanding of business need with the ability to establish/maintain high level of customer trust and confidence.

Preferred Qualifications

Data visualization and polished communication skills.

Experience with cloud services, virtualization, or SaaS products

Maturity, judgment, negotiation/influence skills, analytical skills, and leadership skills

Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment

Highly analytical, technically proficient, and able to learn new tools and software quickly

Demonstrated ability to effectively communicate (oral and written) at different levels in the org

Experience using agile software development practices and associated tooling

Job duties are varied and complex utilizing independent judgment. May have project lead role. 5 years relevant work experience. BS/BA preferred.

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer

JOB TITLE:  Data Engineer
REQUISITION:  CHI0055
DEPARTMENT:  Operations Analytics- Topeka Operations Center or F&M Service Center
LOCATION:  Topeka, KS
Kansas City, MO
PAY RANGE:
Data Engineer I: $55,200 - $69,000
Data Engineer II: $67,500 - $84,400
Sr Data Engineer: $76,400 - $101,800
Lead Data Engineer: $89,900 - $119,900
Scheduled Work Hours:   Flexible hours Monday - Friday, 7:00 a.m. - 5:00 p.m. (Other hours as required)
Summary of Primary Duties and Responsibilities:
This role, under the supervision of the Manager, Operations Financials and Performance Management, is an integral part of a team dedicated to the advancement of data analytics within Operations. In this role, the engineer will work with team members and stakeholders across Operations to help implement analytics use cases providing management the ability to make data-driven decisions. Analytics use cases would provide benefits that would improve operational efficiencies, proactive asset management and operational awareness, among others.
The engineer in this position will:
Connect with both teammates and customers
Work with stakeholders to understand the information needs and translate these into technical solutions
Work closely with a team of Data Science and Data Analysts staff to take existing or new models and convert them into scalable analytical solutions

Implement, maintain, and train peers on Application Lifecycle Management best practices   Includes implementation of MS Dev Ops Power Platform Solutions and ALM environments, workflows, and pipelines

Mine data from disparate systems   Ability and desire to use statistical programming languages, preferably R or Python, and database querying languages like SQL as well as query data from NoSQL databases

Find, join, and utilize new datasets   Demonstrate the capability to proactively identify opportunities for acquiring new data from other systems. This ensures additional datasets are available for further processing by data scientists, transforming raw data into valuable information

Join geospatial datasets together from disparate systems   Ability to query and join geospatial datasets to allow data scientists and data analysts to use these datasets in machine learning and visualization capacities

Provide recommendations and implement solutions to improve data reliability, efficiency, and quality   Design, build, and manage analytics infrastructure that can be utilized by data analysts, data scientists, and non-technical data consumers, which enables functions of the data platform for Analytics
Work with business users to design and develop Microsoft Power Platform deliverables including Power BI reports, Power Apps applications, and similar for better decision making
Perform reliability analysis and reporting to appropriate regulatory agencies

Ensure the architecture that is in place supports the requirements of the data scientists, the stakeholders, and the business
Develop Applications   Ability to build and modify basic software applications to allow field personnel to make improvements quickly

Follow company safety and health guidelines and other company policies
Perform other work as assigned

Education and Experience Requirements:
Data Engineer - Requires a bachelor's degree in Computer Science, or Information Systems or similar program.
All qualified candidates who meet the minimum qualifications for the role will be considered. Preference will be given to experienced candidates with the ideal candidate having at least four years of related experience mining data, joining SQL and NoSQL data, with geospatial query and joining capabilities, and business analysis skills to manage and manipulate complex data from a variety of sources.
Skills, Knowledge, and Abilities Required:
The successful candidate will be able to demonstrate the following skills:
Experience implementing Microsoft ALM / DevOps solutions and lifecycles required, certification in such preferred
Knowledge of applicable governing codes and regulations
Basic knowledge of Transmission and Distribution equipment and systems
Ability to participate constructively in work teams to facilitate and implement improvements to operations, maintenance and business practices
Proficient use and understanding of computer applications and data systems including the direct acquisition and summarizing of data from various and diverse computer database systems throughout the company
Working knowledge of SQL, including:   Ability to write and optimize complex queries
Joins, aggregation, indexes, and transactions
CSV, JSON, XML data formats

Electrical system knowledge   A basic understanding of Electric Power System theory and experience in various operational aspects of an electric power Transmission and Distribution systems is preferred.

General understanding of APIs, command line, client server architecture, networks, and (S)FTP
Prefer experience with GIS, including shapefiles, and spatial indexes
Excellent written and verbal communication skills
Ability to handle multiple priorities, meet strict deadlines and work well under pressure on individual and team related basis.

Licenses, Certifications, Bonding, and/or Testing Required:
Valid driver's license required.
Working Conditions:
Conditions will vary between office and field environments. Time will be spent in an office as well as the field environment. Travel will be required to support field personnel. Additional overnight travel may be required. Must have a satisfactory work record including good attendance. Work may require additional hours including evenings, nights, weekends and holidays.
Evergy has a clear mission - To empower a better future. Evergy chooses to live this mission by valuing People First. We know that to lead the responsible energy transition and provide affordable, reliable, and sustainable service to our customers and communities, we need a team with a variety of backgrounds, perspectives and skills. So, our goal is to be a diverse workforce that is representative of the communities we serve. We are committed to celebrating diversity and building a team where everyone - regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status - has a voice and can bring their best every day. We know that the more diverse and inclusive we are, the better we will be. Evergy is proud to be an equal opportunity workplace and is an affirmative action employer.
Disclaimer: The above information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Work Locations: Topeka Operations Center 4001 N. W. 14th Topeka 66618 Job: Professionals Shift: Unposting Date: Dec 4, 2024

At CrowdStrike, Inc. in Topeka, Kansas, United States.
Job Description #WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market-leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We’re looking for people with limitless passion, a relentless focus on innovation, and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.
About the Role:
The CrowdStrike Marketing & Growth Analytics team is seeking a talented and highly motivated Principal Data Engineer. The ideal candidate considers themselves an engineer with a passion for creating technical solutions to solve business problems.
What You'll Do:
Power business strategy and execution by building clever system integrations.
Maintain reliable data pipelines and architect scalable data solutions.
Collaborate closely with Go-To-Market teams, IT, and Finance to establish optimized, source-of-truth datasets for cross-functional reporting.
What You’ll Need:
Bachelors in any STEM field.
10+ years of data engineering experience. 3+ years of data engineering experience for Marketing, Sales, or Finance.
Significant experience building datasets, automating pipelines, and monitoring data quality for Tableau (or other tools).
Excellent coding skills in SQL and JVM technologies or Python.
Extensive experience building, maintaining, and optimizing a cloud data warehouse (Snowflake).
Experience designing and building highly available, distributed systems of data extraction, ingestion, and normalization – as well as the processing of large datasets in real-time or batch.
Knowledge of Marketing automation and orchestration tools such as Salesforce or Marketo.
Strong understanding of applied machine learning topics.
Ability to explain complex, technical subjects to non-technical audiences.
Docker, Kubernetes. Either AWS, GCP, or MaaS.
Kafka, Cassandra, and Spark.
ElasticSearch.
Bonus Points:
3+ years of experience as a data engineer building production-level, pre/post-processing data pipelines for Machine Learning / Data Science business models.
Consistent track record of leading complex data projects. Values documentation, collaboration, and mentoring.
Knowledge of Terraform, Chef, or Ansible.
CrowdStrike, Inc. is an Equal Opportunity Employer and does not discriminate against any applicants for employment based on their race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, physical or mental disability, genetic information, veteran status, uniformed service member status, or any other status protected by law.
To view full details and how to apply, please login or create a Job Seeker account.
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Data Engineer Jobs in Topeka, KS

Senior Data Engineer Integrated Health
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Principal Data Engineer Marketing Growth Analytics Remote
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Data Engineer Product Analytics
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Data Engineer Jobs in Topeka, KS

Senior Data Engineer Integrated HealthDecember 10, 2024

Senior Data EngineerDecember 10, 2024

Data EngineerDecember 7, 2024

Senior Data EngineerDecember 4, 2024

Data EngineerDecember 1, 2024

Principal Data Engineer Marketing Growth Analytics RemoteNovember 26, 2024

Senior Big Data Engineer Person360 MdmNovember 24, 2024

Data Engineer Product AnalyticsNovember 24, 2024