• Lead the design, development, and scaling of complex data pipelines and platforms • Partner with business leaders and engineering teams to translate requirements into production-ready data solutions • Own end-to-end data solutions including modeling, performance, reliability, and cost optimization • Apply cloud-native design patterns to ensure scalability, security, and maintainability • Implement CI/CD, testing, monitoring, and data quality best practices • Provide technical mentorship to junior team members by leading design reviews and conducting code reviews

• Design, build, and optimize data ingestion, transformation, and delivery pipelines that support batch, micro‑batch, and streaming workloads. • Develop ETL/ELT workflows that integrate data from enterprise systems, operational platforms, external sources, and commercial applications. • Implement scalable data processing patterns that support open lakehouse architectures and medallion‑layered data products. • Ensure pipelines are reliable, maintainable, cost‑efficient, and aligned with enterprise engineering standards. • Design data models that support analytics, reporting, and data product consumption across raw, refined, and curated layers. • Apply medallion architecture principles to ensure data quality, reusability, and consistency across domains. • Contribute to architectural decisions that balance performance, scalability, governance, and operational simplicity. • Support integration of ERP and enterprise systems, ensuring data consistency and alignment with business processes. • Implement data quality checks, validation rules, and monitoring frameworks to ensure accuracy and reliability. • Apply foundational data governance practices including lineage, metadata management, cataloging, and access controls. • Collaborate with governance and data product teams to ensure compliance with enterprise standards and regulatory requirements. • Partner with CSA teams, solution architects, and data product leads to translate business requirements into technical specifications. • Work closely with customer engineering and analytics teams to support onboarding, adoption, and operationalization of delivered pipelines. • Participate in Agile delivery processes, providing technical input on sizing, sequencing, and implementation planning. • Communicate technical concepts clearly to both technical and non‑technical stakeholders.

Role Description Our customer is enhancing their Data Governance & Compliance team to build and mature the organization’s data governance framework. With a significant amount of enterprise data already in the cloud and little yet cataloged or classified, we are looking for a hands-on Data Governance Engineer to support the foundational work needed to operationalize Microsoft Purview across the enterprise. This is a hands-on-keyboard, task-focused role ideal for someone early in their data governance career who is eager to learn and execute. Key Responsibilities - Work directly within Microsoft Purview API (Data Map & Unified Catalog) to: - Register data sources - Configure and run scans - Classify data assets - Support cataloging efforts for 1,200+ data sources across Azure environments. - Execute day-to-day task-based work assigned by the Data Governance leadership team. - Collaborate with existing analysts within Data Compliance and broader Cyber teams. Qualifications - 2+ years of experience in data governance, data engineering, cybersecurity, or related technical discipline. - Experience in coding utilities/scripts that interact with APIs. - Ability to enable version control of code using Azure DevOps. - Must have Microsoft Purview and Unified Catalog. - Experience working with cloud-based data sources, preferably Azure. - Ability to perform detail-oriented, repetitive, task-driven work with high accuracy. - Strong technical curiosity and willingness to grow into a larger governance engineering role. Requirements - Data governance - Data management - Scripting - Azure DevOps - Data quality Benefits - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Jun 21, 2026.

Role Description Humana is seeking a Data Engineer 2 to join our Fortune #40, Best Places to Work company and help us make a difference as we assist our members in achieving their best health! - 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 enable Humana to better serve our members. - Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. - Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction while receiving guidance where needed. - Follows established guidelines/procedures. - Must be passionate about contributing to an organization focused on continuously improving consumer experiences. Qualifications - Bachelor's degree or equivalent experience. - Less than 5 years of technical experience. - Experience with Databricks, Spark, and Scala. - Knowledge of SQL and relational database models. - Documenting processes related to database design, configuration, and performance. - Experience designing, developing, and testing software applications and/or infrastructure. - Experience with APIs to expose large datasets to applications and data analytics solutions. Requirements - Experience with Azure Cloud: Azure Data Factory (ADF), Pipelines, Azure Synapse Analytics (ASA), and Azure Data Lake Storage (ADLS). - Experience with development, release, and support of data processing pipelines. - Experience with test automation frameworks and tools. - Experience with Agile, Continuous Integration, Continuous Deployment (CI/CD). - Experience with Terraform. Benefits - Competitive benefits that support whole-person well-being. - 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. Company Description Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our 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.