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Senior Analytics Engineer, Data Platform (USA)
- Austin, Texas, United States
- Austin, Texas, United States
About
What You’ll Do
Build and optimize dbt models, dimensional structures, and semantic layers.
Develop high-quality SQL transformations and reusable analytics datasets.
Implement data tests, validation frameworks, and lineage visibility.
Collaborate with data engineers and analysts to productionize pipelines.
Document models, metrics, and business logic for cross‑team use.
What We’re Looking For
You live in the USA and have all the necessary documentation to work under an independent contractor agreement.
Must‑Have Experience
5+ years of experience in analytics engineering, BI engineering, or data engineering working with AWS.
3+ years of experience in healthcare, particularly with processing healthcare data.
Expert SQL and production‑grade dbt experience (core or Cloud) for building modular, tested, and scalable transformation pipelines.
Hands‑on experience with a major cloud data warehouse (Snowflake, BigQuery, Redshift, etc.) and an understanding of performance optimization.
Familiarity with orchestration tools (Airflow, Dagster, Prefect) for scheduling and operationalizing data transformations.
Solid engineering fundamentals, including Git, CI/CD pipelines, testing, and documentation in a modern software development workflow.
Proven cross‑functional collaboration with analysts, data engineers, and product teams to translate business needs into scalable data models.
Nice‑to‑haves
Experience building internal developer platforms or data portals.
Exposure to Kafka, catalogs, or lineage tools.
Experience with Tableau.
Our Recruitment Process
Technical Interview (45 min)
Screening interview with the client's hiring manager
Client technical interview
A follow‑up technical interview
What We Offer
Totally remote within the USA, full‑time (40h/week)
Work hours – US Eastern time office hours
Referrals increase your chances of interviewing at Gigster by 2x.
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Languages
- English
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