Senior/Lead Data Engineer
Remote – CST
50/hr on W2
Position Summary
Seeking a hands-on Senior/Lead Data Engineer with 8+ years of experience to design, build, and support scalable cloud data solutions for healthcare reporting, analytics, and operational use cases. The role requires strong expertise in Snowflake, Informatica IDMC, ETL/ELT, dimensional data warehousing, Python, CI/CD, and AWS or Databricks, with technical ownership expected at the Lead level.
Key Responsibilities
- Design, develop, test, deploy, and support scalable batch and near-real-time data pipelines using Snowflake and IDMC.
- Implement ETL/ELT solutions, dimensional models, and SCD Types 1 and 2 for enterprise DW.
- Develop efficient SQL and Python components, reusable frameworks, automation, and validation utilities.
- Build CI/CD pipelines for data code, IDMC assets, Snowflake objects, testing, and environment promotion.
- Eligible to workimize Snowflake performance, scalability, reliability, security, and cost; support AWS and/or Databricks workloads.
- Implement data quality, reconciliation, lineage, monitoring, governance, and audit controls.
- Troubleshoot production issues and partner with architecture, QA, DevOps, analytics, and business teams.
- Lead design and code reviews, mentor engineers, and drive engineering standards and solution ownership.
Required Qualifications
- 8+ years in data engineering, ETL development, and enterprise data warehousing.
- Strong Snowflake expertise in SQL, data loading, security, performance tuning, scalability, and cost Eligible to workimization.
- Strong IDMC development experience with CDI mappings, tasks, taskflows, parameters, deployment, and monitoring.
- Proficiency in Python and SQL, plus Git-based CI/CD using Jenkins, Azure DevOps, GitHub Actions, or similar tools.
- Hands-on experience with AWS data services and/or Databricks/Spark, including data quality, governance, and production support.
- Strong analytical, troubleshooting, communication, documentation, and stakeholder-management skills.
Preferred Qualifications
- Bachelor’s degree in a relevant field or equivalent experience.
- Healthcare data experience across claims, eligibility, provider, clinical, or pharmacy domains.
- Exposure to Snowpark, PySpark, AWS Glue/S3/Lambda, streaming, or automated data testing.
- Snowflake, Informatica, AWS, or Databricks certification is a plus.
Disclaimer: Diverse Lynx LLC is an Equal Opportunity Employer. All applicants and employees are evaluated without discrimination, based solely on their qualifications, ability, competence and performance. This email and its attachments may contain confidential or proprietary information and is intended only for the recipient(s). If you received this message in error, please disregard it and notify the sender. If you no longer wish to receive our communications, you may
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Security Notice: Our official website is www.diverselynx.com We do not operate or authorize any other websites representing Diverse Lynx LLC.
Disclaimer: Diverse Lynx LLC is an Equal Opportunity Employer. All applicants and employees are evaluated without discrimination, based solely on their qualifications, ability, competence and performance. This email and its attachments may contain confidential or proprietary information and is intended only for the recipient(s). If you received this message in error, please disregard it and notify the sender. If you no longer wish to receive our communications, you may
unsubscribe at any time.
Security Notice: Our official website is www.diverselynx.com We do not operate or authorize any other websites representing Diverse Lynx LLC. 
