Senior Data Engineer - Remote

Kforce Inc is seeking a Remote Senior Data Engineer to design, build, and maintain scalable ETL/ELT pipelines and manage their OLAP data platform. The role involves collaborating with cross-functional teams to deliver actionable data products and improve data reliability and governance.

Responsibilities:

• Design, build, and maintain scalable ETL/ELT pipelines across batch and real-time environments
• Architect and manage our OLAP data platform (Redshift and related components) and partner closely with Product Engineers on OLTP data
• DevOps to ensure smooth cross-system integrations and data flows
• Build and optimize reliable, observable, and maintainable pipelines using AWS Glue, Kafka/Kinesis, and Python
• Develop and enforce best practices for automated testing, data validation, quality checks, and CI/CD workflows for data systems
• Collaborate closely with BI, Product Engineering, and cross-functional stakeholders to gather requirements, define data models, and deliver actionable data products
• Own and evolve data models that support analytics, product usage tracking, and real-time decision-making
• Improve data reliability, governance, lineage, and observability across the stack
• Mentor other engineers and contribute to setting strong engineering and data platform standards

Requirements:

• 5+ years as a Data Engineer or similar role working with large-scale data systems
• Strong expertise in Python for building and orchestrating data pipelines
• Deep experience with AWS Redshift including performance tuning, modeling, and workload management
• Hands-on experience with AWS Glue, Kafka/Kinesis, and streaming data patterns
• Demonstrated experience with Data DevOps practices, including managing OLAP data infrastructure (data engineering responsibility)
• Coordinating OLTP data integration and operational workflows with product engineering
• Using tooling like Terraform, CloudFormation, GitHub Actions, CodePipeline, or similar
• Proven experience with automated testing frameworks and CI/CD for data
• Strong collaboration skills with both BI teams and Product/Feature teams, translating data needs into system designs
• A proactive, ownership-driven approach and comfort with a fast-paced, growth-oriented environment
• Able to confidently use and adapt modern AI tools (e.g. Claude Code, Cursor, Agent Skills), treating them as agentic coding partners-knowing when to trust, adapt, or override their outputs to build high-quality solutions
• Experience with ClickHouse or other OLAP/analytical databases
• Exposure to workflow orchestrators (Airflow, etc.)
• Experience with Docker, ECS, EKS, or similar container platforms
• Familiarity with data observability tooling