Data Engineer at TruDataRx, Inc.

Setup: Hybrid
Location: Norwich, Vermont · Austin, Texas
Type: Full-time
Posted: Jun 5, 2026

Description

TruDataRx, Inc. is looking for an experienced Data Engineer to design, build, and maintain their next-gen data pipelines using Snowflake and dbt. The role involves defining best practices, mentoring junior engineers, and ensuring high-quality data for analytics. Responsibilities include designing ELT architectures, developing complex SQL data models, optimizing Snowflake environments, championing data governance, and collaborating with product and analytics teams.

Required Skills

Data Engineering
Database Development
Snowflake
dbt
SQL
Python
Git
CI/CD
Jinja macros
data quality tests

Additional Information

Required Previous Experiences: 3+ years of professional experience in Data Engineering and Database Development with medical and prescription claims
2+ years of hands-on experience specifically with Snowflake (architecture, snowpipe, streams/tasks, and security)
1+ years of production experience with dbt (developing packages, macros, and incremental models)
Preferred Qualifications: Expert-level SQL skills with the ability to write complex, highly optimized queries. Familiarity with Snowflake architecture, including separation of storage and compute, semi-structured data handling (JSON/Variant), and security management (RBAC).
Proficiency in Python for scripting, custom connectors, or orchestration tasks.
Experience with workflow orchestration tools (e.g., Airflow or FiveTran, dbt or dbt Cloud).
Strong familiarity with Git flows and CI/CD pipelines for data (e.g., GitHub Actions, GitLab CI).
Strong experience with dbt (Core or Cloud). Understanding of ephemeral, table, and view materializations, and knowledge of dbt for documentation and lineage.
Data Governance principles and best practices
Master Data Management principles and best practices
Experience with database management
Experience handling healthcare data formats (e.g. Pharmacy Claims data, Eligibility data, Medical Claims data, etc.)
Knowledge of Azure/GCP services or similar AWS core services (S3, Lambda, IAM).
Experience migrating legacy stored procedures to modern dbt models.
Proficient in Python for scripting, API interaction and Streamlit apps
Strong understanding of Git workflows (branching, merging, pull requests) specifically within a data context.