Job Description
Title: Data Engineer (Azure / Databricks)
Location: Hybrid / Remote (Preference: MN ? 5-state region ? national)
Pay Rate: $80-$90
Conversion Salary Range: $120K–$150K DOQ

Overview
Our client is seeking a high-performing Data Engineer to join their Pharmacy Data team within Data Operations / EIM. This role is critical to supporting pharmacy claims and related data pipelines as the organization continues its transition from on-prem systems to a modern Azure-based data platform.

This is a contract-to-hire opportunity focused on improving data quality, reliability, and engineering rigor. The ideal candidate will bring strong technical expertise, a proactive, detail-oriented mindset, and a high degree of ownership.

Team & Environment
The Pharmacy team supports data pipelines tied to pharmacy claims, rebates, and regulatory reporting. Data flows from external PBM/vendor systems into Azure and is processed for multiple downstream consumers (member services, web applications, actuarial teams, etc.).
The environment includes:

Azure (ADF, Databricks, cloud data pipelines)
Hybrid architecture (cloud + legacy on-prem dependencies)
Complex, high-volume healthcare data with evolving vendor formats

Role Focus

Build, maintain, and enhance cloud-based data pipelines
Ensure data quality, validation, and reliability across pharmacy datasets
Support evolving ingestion patterns and vendor data changes
Partner with business and product teams to deliver accurate, timely data

Key Responsibilities

Design and develop scalable data pipelines using Azure and Databricks
Ingest, transform, and validate pharmacy and claims-related data
Perform deep root-cause analysis on data issues (not just symptom fixes)
Implement data quality checks, validation frameworks, and monitoring
Adapt pipelines to changing vendor file formats and ingestion cadences
Collaborate with product owners and stakeholders to translate business requirements into technical solutions
Troubleshoot production issues and ensure minimal downstream impact
Contribute to best practices around testing, deployment, and data engineering standards

What This Person Will Be Doing Day-to-Day

Working within Databricks and Python to process incoming pharmacy data
Investigating data anomalies and identifying root causes
Updating pipelines to handle new vendor data structures or formats
Implementing validation logic and proactive data quality controls
Collaborating with cross-functional teams on data-related issues
Supporting production pipelines and resolving incidents when needed

Key Objectives

Improve overall data quality and reliability across pharmacy systems
Reduce rework and downstream issues caused by insufficient validation
Build scalable, maintainable cloud-based data pipelines
Establish stronger engineering discipline around testing and validation
Support the organization’s broader cloud migration strategy

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)
2+ years of hands-on data engineering experience
Strong Python experience (core requirement)
Strong SQL experience (e.g., PySpark SQL, relational databases)
Experience with Azure Data Platform (Databricks, ADF, or similar)
Experience building and maintaining ETL/ELT pipelines
Strong troubleshooting and root-cause analysis skills
Experience working with large, complex datasets

Preferred Qualifications

Experience with healthcare, pharmacy, or PBM data
Familiarity with claims data, rebates, or regulatory datasets
Experience in hybrid environments (on-prem + cloud)
Exposure to tools like Jira, ServiceNow, CI/CD pipelines, and Git
Experience with data validation frameworks and data quality tooling

Key Traits for Success

High ownership and accountability
Strong attention to detail and thoroughness in execution
Curious, analytical mindset with a focus on understanding data deeply
Ability to think through downstream impacts before implementing changes
Collaborative, but capable of working independently with minimal oversight
Avoids “quick fixes” and prioritizes long-term, scalable solutions

Nice to Have

Experience with Streamlit or similar tools for data exploration/visualization
Familiarity with health plan terminology (in-network, out-of-network, co-pay, etc.)
Experience with pharmacy-specific workflows or PBM integrations

Hours / Work Environment

Monday–Friday, standard business hours
Hybrid or remote depending on candidate location and eligibility.
The projected hourly range for this position is $80-$90.
On-Demand Group (ODG) provides employee benefits which includes healthcare, dental, and vision insurance. ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.

Data Engineer - Pharmacy

Key skills

About this role