Senior Analytics Engineer, Data Platform (USA)

Gigster; Austin (TX); Remote; USD 120,000 - 180,000; Full time

Job summary

A leading healthcare technology company is seeking a Senior Analytics Engineer to enhance the Data Platform team. This fully remote position requires 5+ years in analytics engineering, particularly in healthcare data. The successful candidate will optimize dbt models, develop SQL transformations, and collaborate with various teams. Familiarity with cloud warehouses such as Snowflake or BigQuery is essential, along with strong SQL and data engineering skills. Join a committed, innovative team dedicated to improving patient experiences.

Qualifications

• 5+ years of experience in analytics engineering, BI engineering, or data engineering with AWS.
• 3+ years of experience in healthcare, particularly with processing healthcare data.
• Hands-on experience with major cloud data warehouse and understanding performance optimization.
• Hands-on with Snowflake/BigQuery/Redshift and performance tuning.
• Experience with Airflow, Dagster or Prefect for orchestration.
• Strong Git, CI/CD, testing and documentation practices.
• Cross-functional collaboration with analysts and product teams.

Responsibilities

• Build and optimize dbt models and dimensional structures.
• Develop SQL transformations and reusable analytics datasets.
• Implement data tests and validation frameworks.
• Collaborate with data engineers and analysts to productionize pipelines.
• Document models, metrics, and business logic for cross‑team use.

Skills

Expert SQL

Production-grade dbt

Cloud data warehouse experience

Collaboration with cross-functional teams

Cloud data warehouse (Snowflake/BigQ/—

Orchestration tools (Airflow/Dagster/…

Git/CI/CD and testing

Tools

Snowflake

BigQuery

Redshift

Airflow

Tableau

Dagster

Prefect

Git

CI/CD

Job description

Senior Analytics Engineer, Data Platform – Gigster

We’re looking for a Senior Analytics Engineer to join our team and work with our client's Data Platform team. Our client is a leading healthcare technology company, dedicated to transforming the patient and provider experience through innovative, data‑driven solutions.

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

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