Sr Developer/Data Engineer

Senior Developer / Data Engineer - SQL & Terraform

Remote role

Compensation: $55 - $65 per hour
ABOUT THE ROLE

Our client is launching a new Enterprise Data Platform (EDP), an AI-ready data foundation built on a medallion architecture in BigQuery. This platform will ingest data from all DaVita source systems-both on-premises and cloud-leveraging a modern Google Cloud Platform (Google Cloud Platform) stack including Dataflow, Dataform, Terraform, and CI/CD automation. Data governance is managed through Google Knowledge Catalog (formerly Dataplex). This is a newly funded initiative with strong momentum and a clear path to team growth as internal funding is approved. As a Senior Developer / Data Engineer, you will play a critical role in building and optimizing data pipelines, ensuring robust infrastructure, and collaborating closely with technical leads to establish standards and best practices in a fast-paced, newly established platform team.
WHAT YOU'LL DO

• Develop and optimize data pipelines and transformations within the BigQuery medallion architecture
• Write and tune complex SQL queries for large-scale data transformation and validation
• Build and maintain Terraform-based infrastructure to support pipeline deployment
• Implement and manage data ingestion from on-prem and cloud source systems using Google Cloud Platform tools (Dataflow, Dataform)
• Collaborate with technical leads on pipeline standards, testing, and CI/CD automation
• Ensure data governance and cataloging through Google Knowledge Catalog (Dataplex)
• Participate in technical Q&A sessions and communicate solutions clearly to panel and team members
• Contribute to a culture of hands-on technical excellence and proactive problem-solving in a newly established team

WHAT YOU BRING

• Expert-level SQL skills: complex queries, performance tuning, and data validation (must be recent and hands-on)
• Strong hands-on experience with Terraform in a Google Cloud Platform environment, including authoring and owning modules (not just running existing ones)
• Production experience with Dataflow and/or Dataform for pipeline development (hands-on, not just conceptual)
• Experience developing and optimizing data pipelines within BigQuery medallion architecture
• Familiarity with CI/CD automation and pipeline standards
• Ability to work effectively in a fast-paced, newly established platform team
• Experience with Google Knowledge Catalog / Dataplex (nice to have)
• Background in healthcare or other highly regulated data environments (nice to have)
• Clear, confident communication skills, especially in technical Q&A settings (nice to have)
• Demonstrated ability to acknowledge unfamiliarity rather than guess through technical questions

WHAT WILL DISQUALIFY A CANDIDATE

• Lack of recent, hands-on delivery with SQL or Terraform (theory-only backgrounds will not be considered)
• Medium-level skills in SQL, Terraform, or Dataflow/Dataform (the bar is set at strong, hands-on expertise)
• Guessing through technical questions instead of acknowledging unfamiliarity

INTERVIEW PROCESS

• Panel interview with three client technical leaders
• One-hour session, primarily technical Q&A
• Priority given to hands-on Dataflow, Dataform, Terraform, and SQL experience over architectural or theoretical backgrounds

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