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Data Engineer - Pharmacy

On-Demand Group

Bloomington, Minnesota • Today

Easy Apply

Contract

Depends on Experience

Lead Data Analyst with Medicaid / Pharmacy / PBM experience

ec3 Federal Services

Remote • Today

Easy Apply

Full-time

Depends on Experience

Associate Data Engineer

UnitedHealth Group

Eden Prairie, Minnesota • Today

Full-time

USD 60,200.00 - 107,400.00 per year

Dir, SP/ASOC Data Partnerships Lead (Specialty Pharmacy)/ (Alternative Sites of Care)

Novartis

Remote • Today

Full-time

USD 185,500.00 - 344,500.00 per year

Data Engineer

UnitedHealth Group

Eden Prairie, Minnesota • Today

Full-time

USD 72,800.00 - 130,000.00 per year

Full Stack Engineer - Golang with Pharmacy experience

Mind Ware Inc

Remote • Today

Easy Apply

Full-time

Depends on Experience

Pharmacy Interface Certification Engineer

McKesson Corporation

Remote or Irving, Texas • Today

Full-time

USD 106,100.00 - 176,800.00 per year

Senior Manager Data Engineering - Eden Prairie, MN

UnitedHealth Group

Eden Prairie, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Senior Data Engineer (Exadata)

UnitedHealth Group

Eden Prairie, Minnesota • Today

Full-time

USD 91,700.00 - 163,700.00 per year

Senior Manager Data Engineering

UnitedHealth Group

Eden Prairie, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Data Engineer L4 (Remote)

Frontdoor, Inc.

Remote • Today

Full-time

USD 114,000.00 - 145,000.00 per year

Data Engineer - Operations Focus

Cotiviti

Remote • Today

Full-time

USD 78,000.00 - 120,000.00 per year

Software Engineer- Data Insights

McKesson Corporation

Remote or Irving, Texas • Today

Full-time

USD 106,100.00 - 176,800.00 per year

Senior Cloud Data Engineer

Boston Medical Center

Remote • Today

Full-time

USD 89,500.00 - 130,000.00 per year

Senior Data Engineer

Metova Federal

Remote • Today

Full-time

Sr. Systems Engineer (AWS Data Engineer)

SAIC

Remote • Today

Full-time

USD 120,001.00 - 160,000.00 per year

Lead Analytics Engineer - Data Modeling & Quality

Arcadia

Remote • Today

Full-time

USD 160,000.00 - 185,000.00 per year

Data Analyst

Innova Solutions, Inc

Remote • Today

Easy Apply

Contract

Depends on Experience

Pharmacy Technician

Ohm Systems, Inc

Remote • 27d ago

Easy Apply

Contract

21 - 22

Senior Software Engineer, Data Engineering

Omada Health

Remote • Today

Full-time

USD 179,400.00 - 224,300.00 per year

PBM and Pharmacy Claims QA Tester (7+ years of Experience required)

Infinite Computer Solutions (ICS)

Remote • 24d ago

Easy Apply

Full-time

$70,000 - $85,000

Pharmacy & Project Manager

Talent Groups

Remote • Today

Easy Apply

Third Party, Contract

44 - 50

Pharmacy Product Manager

KMM Technologies, Inc

Remote • 13d ago

Easy Apply

Full-time, Third Party

$90 - $95

Pharmacy Subject Matter Expert

Spar Information Systems

Remote • Today

Easy Apply

Full-time, Part-time, Third Party, Contract

Certified Pharmacy Technician

Diversified Systems, Inc.

Remote • 13d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior Data Scientist - Clinical Informatics (Analytics Enablement)

CVS Health

Remote or New York, New York • Today

Full-time

USD 83,430.00 per year

Data Scientist

Empower Pharmacy

Remote • Today

Full-time

Senior Manager Data Engineering - Eden Prairie, MN

UnitedHealth Group

Eden Prairie, Minnesota • Today

Full-time

Compensation information provided in the description

Technical Analyst, Pharmacy Support-Remote [Sa-Tu 10a-8:30p CST]

ScriptPro

Remote or Mission, Kansas • Today

Full-time

USD 24.00 - 27.00 per hour

Data Analyst with Healthcare / QNXT experience

ec3 Federal Services

Remote • Today

Easy Apply

Full-time

Depends on Experience

Job Details

Skills

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10426452
Position Id: 11836
Posted 11 hours ago

Fitment

Dice Job Match Score™

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Contact the job poster

Sarah Robinson

Recruiter @ On-Demand Group

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Job Details

Skills

Summary

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.

Dice Id: 10426452
Position Id: 11836
Posted 11 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Sarah Robinson

Recruiter @ On-Demand Group

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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