Senior Data Engineer (ETL / Python Developer)

At CSpring, we believe in the power of data to drive decisions and real-world impact. We’re a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results.

We’re seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you’re passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you’ll find meaningful work and purpose here.

Why You’ll Love Working Here

• Purposeful Projects - Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.
• People-First Culture - We’re as committed to your growth as we are to delivering high-impact solutions. You’ll find support, autonomy, and community here.
• Strategic, Hands-On Work - From data architecture and documentation to client workshops and solution delivery, you’ll influence every step of the process.
• Collaborative Trust - Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What You’ll Do

• Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, and Python-based frameworks.
• Build and optimize scalable data processing solutions using Python, Spark, and Databricks.
• Write and optimize SQL and stored procedures across relational platforms such as Snowflake, Oracle, and SQL Server.
• Follow data engineering best practices for performance, reliability, reusability, and security.
• Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care).
• Develop robust data validation, reconciliation, and audit-traceable data pipelines.
• Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness.
• Participate in cloud migration and modernization initiatives within Azure-based architectures.
• Support production operations, incident resolution, and root cause analysis.

Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub.

• 5+ years of data engineering experience with a focus on enterprise data warehousing.
• 5+ years of hands-on ETL development using Informatica PowerCenter, Teradata, Azure Data Factory, or similar tools.
• 5+ years of Python development for data engineering and automation.
• 5+ years of Teradata experience, including Teradata loader utilities.
• 3+ years of experience with Spark-based processing frameworks (Databricks or equivalent).
• Solid SQL expertise and experience with relational databases (such as Snowflake, Oracle, SQL Server).
• 3+ years of experience with Snowflake using SnowSQL and Snowpark (Python).
• Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD).
• Proven solid analytical, problem-solving, and troubleshooting skills.
• Periodic travel may be required based on project or customer needs.

Preferred Qualifications

• Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a related field.
• Azure certifications related to data engineering or analytics.
• Experience supporting State Medicaid EDW or MMIS analytics environments.
• Healthcare or public sector analytics experience (Medicaid / Medicare preferred).
• Data modeling experience in enterprise data warehouse environments.
• Scripting experience (PowerShell, Bash) for automation and orchestration.
• Experience designing or consuming APIs (REST) within data platforms.
• Familiarity with data quality frameworks, reconciliation, and audit support.