Senior Data Engineer, ETL, Python Developer

🕒 August 21

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CSpring

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

💼 Consulting

☁️ SaaS

B2B • Consulting • SaaS

CSpring is a consulting firm that specializes in unlocking the power and potential of data to achieve technology-enabled business goals. Founded in 1996, the company focuses on data-driven solutions that align with clients' business objectives, offering services such as data architecture, management, analytics, and reporting. With a team of full-time consultants, CSpring collaborates with both public and private sector clients to develop technology strategies, architect data solutions, build software, and create visualizations tailored to meet unique client needs. CSpring is also recognized as a certified Woman-owned Business Enterprise (WBE) and has been named a Best Place to Work in Indiana.

📋 Description

• Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory, 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 Snowflake, Oracle, and SQL Server • Apply data engineering best practices for performance, reliability, reusability, and security • Support Medicaid analytics and federal reporting initiatives, including T-MSIS, PERM, MARS, and 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

🎯 Requirements

• 5+ years of data engineering experience focused 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, such as Databricks or equivalent • Solid SQL expertise and experience with relational databases such as Snowflake, Oracle, and SQL Server • 3+ years of experience with Snowflake using SnowSQL and Snowpark (Python) • Experience with source control and DevOps practices, including Azure DevOps, GitHub, and CI/CD • Proven solid analytical, problem-solving, and troubleshooting skills • Periodic travel may be required based on project or customer needs • Bachelor's degree or higher in Computer Science, Engineering, Analytics, or a related field preferred • Azure certifications related to data engineering or analytics preferred • Experience supporting State Medicaid EDW or MMIS analytics environments preferred • Healthcare or public sector analytics experience, with Medicaid / Medicare preferred • Data modeling experience in enterprise data warehouse environments preferred • Scripting experience with PowerShell or Bash for automation and orchestration preferred • Experience designing or consuming REST APIs within data platforms preferred • Familiarity with data quality frameworks, reconciliation, and audit support preferred

🏖️ Benefits

• Purposeful projects improving systems that serve real people • People-first culture with support, autonomy, and community • Growth and career development opportunities • Strategic, hands-on work across data architecture, documentation, client workshops, and solution delivery • Collaborative, integrity-driven client partnerships • Fully remote work arrangement