Data Engineer

Kforce Inc is seeking a Data Engineer with exceptional SQL expertise to build scalable data transformation pipelines. The role involves translating business logic into SQL pipelines and optimizing complex transformation logic in a cloud data environment.

Responsibilities:

• Query performance, analytical functions, set-based operations, and data modeling techniques
• Translate business logic into efficient, maintainable SQL pipelines
• Dimensional modeling (star, snowflake, denormalized)
• Designing and optimizing complex transformation logic at scale

Requirements:

• DE III: 7+ years of experience in data engineering
• DE II: 3-7+ years of experience in data engineering
• Advanced to expert-level SQL with a consistent track record of designing and optimizing complex transformation logic at scale
• Practical Snowflake experience working within an EDW or analytics environment
• Experience with Git-based workflows (GitHub preferred)
• Exposure to orchestration tools (Snowflake Tasks required; Airflow/MWAA nice to have)
• Strong grounding in data quality frameworks, automated validation, and testing
• Familiarity with: COPY INTO and Snowflake-native ingestion patterns; Snowflake Tasks for orchestration and scheduling
• Strong, clear communicator; able to simplify complex concepts
• Analytical thinker with a structured, methodical problem solving approach
• Comfortable working autonomously and engaging cross-functional teams
• Detail-oriented, proactive, and accountable with production systems
• Hands-on Python for data processing and automation
• Familiarity with CI/CD patterns (GitHub Actions preferred)
• Experience with AWS (S3, Glue)
• Exposure to Airflow DAG development
• Experience in large, complex enterprise data ecosystems
• Background in SRE-style automation, monitoring, observability
• Healthcare data experience, including PHI/PII handling, claims lifecycle, and EDI 835/837 formats