At Harbor Health, we’re transforming healthcare in Texas through collaboration and innovation. We’re seeking passionate individuals to help us create a member-centered experience that connects comprehensive care with a modern payment model.
The HDS team contributes to this by building "HarborOS", the central nervous system of our clinical operations, tying together information from different clinical sources to drive optimal outcomes for our members. Data is our product.
We are looking for Analytics Engineers to build and our data ingestion layer to bring in the data that will help us transform healthcare. You will not just move data, you will convert it into actionable insights to help our clinic network change lives. You will take raw chaos (claims, ADT, clinical data) and architect the trusted data marts that power out patient care, risk adjustment, and financial decisions. Build the Semantic Layer: Design and implement production-grade dbt models that transform raw source data into clean, documented, and tested Data Marts.
Enforce Data Quality: Own the Pipeline: Manage the lifecycle of your data models from IDE to production, including code review, CI/CD integration, and performance tuning in Snowflake.
Bridge the Gap: Collaborate with Platform Engineers to understand upstream ingestion patterns (Python/Fivetran) and debug data issues at the source.
Design the core Star Schemas and data models that define our business. You will decide how we model complex concepts like "Attribution," "Risk," and "Claims Adjudication" to ensure historical accuracy and query performance.
Act as the primary interface between Clinical Operations and Engineering. Mentorship & Standards: Set the standard for SQL style, dbt macro usage, and testing rigor. why a reversal claim behaves differently than a void).
SQL Mastery: You can write performant, readable, and complex SQL. dbt Fluency: You have used dbt in production. You understand incremental models, snapshots, and how to structure a project for scale.
Python Literacy: You can read and understand Python scripts. You may not build the ingestion framework from scratch, but you can debug a transformation script if needed.
Data Warehouse Fundamentals: You understand how column-oriented databases (Snowflake) work and how to write queries that prune partitions effectively.
You bring deep subject matter expertise in healthcare data domains. You are fluent in processing 837 files, modeling the claim lifecycle (Adjudication, Reversal, Denial), and handling provider data nuances (NPI vs. You know when to denormalize for performance and when to normalize for integrity .
Transformation: dbt (Core/Cloud)
Fivetran, Python (Custom)
BI/Semantic Layer: Omni
Opportunity to shape the financial foundation of an innovative healthcare model
Competitive salary, company equity and robust benefits package
Professional development and growth opportunities
We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We are committed to creating an inclusive environment for all clinicians and teammates and actively encourage applications from people of all backgrounds.
The HDS team contributes to this by building "HarborOS", the central nervous system of our clinical operations, tying together information from different clinical sources to drive optimal outcomes for our members. Data is our product.
We are looking for Analytics Engineers to build and our data ingestion layer to bring in the data that will help us transform healthcare. You will not just move data, you will convert it into actionable insights to help our clinic network change lives. You will take raw chaos (claims, ADT, clinical data) and architect the trusted data marts that power out patient care, risk adjustment, and financial decisions. Build the Semantic Layer: Design and implement production-grade dbt models that transform raw source data into clean, documented, and tested Data Marts.
Enforce Data Quality: Own the Pipeline: Manage the lifecycle of your data models from IDE to production, including code review, CI/CD integration, and performance tuning in Snowflake.
Bridge the Gap: Collaborate with Platform Engineers to understand upstream ingestion patterns (Python/Fivetran) and debug data issues at the source.
Design the core Star Schemas and data models that define our business. You will decide how we model complex concepts like "Attribution," "Risk," and "Claims Adjudication" to ensure historical accuracy and query performance.
Act as the primary interface between Clinical Operations and Engineering. Mentorship & Standards: Set the standard for SQL style, dbt macro usage, and testing rigor. why a reversal claim behaves differently than a void).
SQL Mastery: You can write performant, readable, and complex SQL. dbt Fluency: You have used dbt in production. You understand incremental models, snapshots, and how to structure a project for scale.
Python Literacy: You can read and understand Python scripts. You may not build the ingestion framework from scratch, but you can debug a transformation script if needed.
Data Warehouse Fundamentals: You understand how column-oriented databases (Snowflake) work and how to write queries that prune partitions effectively.
You bring deep subject matter expertise in healthcare data domains. You are fluent in processing 837 files, modeling the claim lifecycle (Adjudication, Reversal, Denial), and handling provider data nuances (NPI vs. You know when to denormalize for performance and when to normalize for integrity .
Transformation: dbt (Core/Cloud)
Fivetran, Python (Custom)
BI/Semantic Layer: Omni
Opportunity to shape the financial foundation of an innovative healthcare model
Competitive salary, company equity and robust benefits package
Professional development and growth opportunities
We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We are committed to creating an inclusive environment for all clinicians and teammates and actively encourage applications from people of all backgrounds.
Remote Senior Data Engineer - Harbor Data Systems (HDS) in remote at Unknown Company
This position is listed as full time and onsite.