Data Analytics Engineer
100% Remote
06-12 Months
Top Required Skills:
Healthcare Data Experience (payer or claims data, membership data transformation)
Expert SQL & dbt (modular, tested, production-grade pipelines)
Strong Data Modeling (dimensional modeling, semantic layer design, standardized metrics)
Cloud Data Warehouse (Snowflake, BigQuery, Redshift)
What They are Looking for:
Requires strong data experience. - Must understand and work with data. Not concerned about scale.
Primary responsibility is to understand and model data for end-user use cases.
MUST HAVE - Healthcare experience
Must be able to take raw membership data, talk to stakeholders (like a BI person), and create a data model that transforms the raw data into a usable format for the end user.
Will use tools set up by the Data Engineers; must figure out how to use those tools and apply them to specific use cases.
Job Description:
We re looking for a Senior Analytics Engineer who brings deep expertise in data modeling, transformation design, and analytics-focused engineering. In this role, you ll build and optimize the semantic and transformation layers that power analytics across the organization. You ll architect dbt models, implement data quality frameworks, standardize metrics, and improve the discoverability and reliability of our analytics ecosystem. You ll partner closely with data engineers, analysts, product, and platform teams to elevate how the company uses and trusts data.
Key Responsibilities
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.
Qualifications Required:
5+ years of experience in analytics engineering, BI engineering, or data engineering working with AWS.
3+ years of experience in healthcare particularly demonstrated experience with processing healthcare data
Expert SQL and production-grade dbt experience (core or Cloud) for building modular, tested, and scalable transformation pipelines.
Strong data modeling skills including dimensional modeling, semantic layer design, and standardized metric definitions.
Hands-on experience with a major cloud data warehouse (Snowflake, BigQuery, Redshift, etc.) and 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.
Amer Ali - Lead Recruiter
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LinkedIn:
Princeton Forrestal Village, 116 Village Blvd, Suite 200 , Princeton, NJ ,08540
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