Senior Data Engineer

Solventum in; Maplewood (MN); Remote; USD 143,000 - 197,000; Full time

Benefits offered by this job

Medical, Dental & Vision

Health Savings Accounts

Retirement benefits

Job summary

Solventum, a healthcare innovator, is seeking a Senior Data Engineer to support Commercial Operations Analytics. You will design trusted data products for order-to-cash reporting, operational dashboards, scorecards, and AI-enabled decision support across the business.

You will own end-to-end delivery from requirements to production, build scalable data models in Snowflake, ETL/ELT pipelines, data quality frameworks, and governance processes, while collaborating with cross‑functional teams to

Qualifications

• Bachelor’s degree or higher with 8+ years in data engineering or analytics.
• High School Diploma with 12+ years in data engineering or analytics.
• Five (5) years of hands-on experience developing complex SQL, analytical data models, and production ETL/ELT solutions in a cloud data warehouse environment.
• Three (3) years of experience designing dimensional models, semantic layers, reusable reporting datasets, or governed business metrics for enterprise analytics.
• Three (3) years of experience with version-controlled development, automated testing, controlled deployments, and production support for data solutions.
• Three (3) years experience translating complex business requirements and rules into reliable technical solutions while communicating effectively with technical and non-technical stakeholders.
• Experience using AI-assisted development tools responsibly, including validation of generated code, recommendations, tests, and documentation before production use.
• Advanced experience with Snowflake, SQL, Python, dbt or a comparable transformation framework, GitHub, Visual Studio Code, and cloud platforms such as Azure or AWS.
• Experience creating automated reconciliation, data-quality, observability, or validation solutions and optimizing SQL or warehouse workloads for performance and cost.
• Experience enabling Tableau, Power BI, natural-language analytics, machine learning, retrieval-augmented generation, or agent-based solutions through trusted and governed data products.
• Experience supporting order-to-cash, revenue cycle, billing, collections, productivity, customer service, healthcare, medical technology, or other regulated commercial operations.
• Demonstrated technical leadership through mentoring, engineering standards, architecture decisions, or coordination of complex cross-functional data deliveries.

Responsibilities

• Design and maintain scalable analytical data models and semantic layers.
• Build and optimize ETL/ELT workflows and data integration.
• Create automated data-quality and regression-testing frameworks.
• Own delivery from requirements to production deployment and monitoring.
• Collaborate on AI-assisted development with governance and security.

Skills

SQL

Data modeling

ETL/ELT

Snowflake

Python

dbt

GitHub

Azure

AWS

Tableau

Power BI

AI-assisted tools

Education

Bachelor’s Degree or higher

High School Diploma/GED with 12 years experience

Tools

VS Code

Cloud platforms

Job description

Job Description: Senior Data Engineer (Solventum)

At Solventum, we improve lives by helping healthcare professionals do their best work. Join a team using innovation and insight to make a real impact on the future of healthcare. All roles listed are with Solventum, and we’re committed to protecting your personal information—learn more in our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/

The Impact You’ll Make in this Role

As a Senior Data Engineer supporting Commercial Operations Analytics, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. You will design trusted data products for order-to-cash reporting, operational dashboards, scorecards, productivity measurement, and AI-enabled decision support.

• Designing and maintaining scalable analytical data models, semantic layers, reporting tables, views, and business definitions for productivity, unbilled activity, write-offs, accounts at risk, payer segmentation, organizational hierarchies, and other commercial operations measures.
• Building and optimizing reliable ETL/ELT workflows, SQL transformations, database views and tables, stored procedures, and scheduled processes that integrate structured and semi-structured data into analytics-ready products using platforms such as Snowflake and cloud services.
• Creating automated data-quality and regression-testing frameworks that encode business rules, reconcile results to authoritative sources, identify anomalies, and protect existing models when changes are introduced.
• Owning delivery from requirements through development, version control, peer review, validation, user approval, production deployment, monitoring, and post-production issue resolution while documenting data lineage, definitions, dependencies, and support procedures.
• Using approved AI assistants and focused engineering agents to accelerate SQL analysis, code development, pipeline configuration, debugging, documentation, and test creation, while applying human review for accuracy, security, performance, governance, and business-rule fidelity.

Your Skills and Expertise

To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications:

• Bachelor’s Degree or higher AND eight (8) years of professional experience in data engineering, data architecture, analytics engineering, information systems, or analytics application development in a private, public, government, or military environment
• High School Diploma/GED AND twelve (12) years of professional experience in data engineering, data architecture, analytics engineering, information systems, or analytics application development in a private, public, government, or military environment

In addition to the above requirements, the following are also required:

• Five (5) years of hands‑on experience developing complex SQL, analytical data models, and production ETL/ELT solutions in a cloud data warehouse environment.
• Three (3) years of experience designing dimensional models, semantic layers, reusable reporting datasets, or governed business metrics for enterprise analytics.
• Three (3) years of experience with version‑controlled development, automated testing, controlled deployments, and production support for data solutions.
• Three (3) years experience translating complex business requirements and rules into reliable technical solutions while communicating effectively with technical and non‑technical stakeholders.

Additional qualifications that could help you succeed even further in this role include:

• Experience using AI‑assisted development tools responsibly, including validation of generated code, recommendations, tests, and documentation before production use.
• Advanced experience with Snowflake, SQL, Python, dbt or a comparable transformation framework, GitHub, Visual Studio Code, and cloud platforms such as Azure or AWS.
• Experience creating automated reconciliation, data‑quality, observability, or validation solutions and optimizing SQL or warehouse workloads for performance and cost.
• Experience enabling Tableau, Power BI, natural‑language analytics, machine learning, retrieval‑augmented generation, or agent‑based solutions through trusted and governed data products.
• Experience supporting order‑to‑cash, revenue cycle, billing, collections, productivity, customer service, healthcare, medical technology, or other regulated commercial operations.
• Demonstrated technical leadership through mentoring, engineering standards, architecture decisions, or coordination of complex cross‑functional data deliveries.

Location and Compensation

• Work location: Remote – United States
• Travel: May include up to 15% domestic travel
• Relocation Assistance: Will not be authorized
• Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).
• Applicable to US Applicants Only: The expected compensation range for this position is $143,200 - $196,900, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience.
• Solventum offers many programs to help you live your best life, both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope.
• Additional benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.).

Equal Opportunity Employment

Solventum is an equal opportunity employer.

Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.

Company Overview

Solventum is a new healthcare company with a rich history. With more than 70 years of delivering healthcare innovations, we continue to move the industry forward by helping to solve our customers’ biggest challenges. 20,000+ employees worldwide. Solventum relies on the courage and the boundless insights of professionals worldwide to achieve exceptional results for our customers and those who rely on them. Healthcare that leads with heart and humility starts with listening and never finishes, only evolves. As long as healthcare challenges remain unsolved, we will be here, united by empathy and a relentless belief that countless lives are improved through our work. Operations in 38 countries. Driven by our dedication to improved outcomes for all we serve, we break through by making unprecedented connections that impact lives. In more than 300 offices and facilities around the world, we work closely with customers and partners to create positive healthcare outcomes that transcend borders. To realize our shared vision, we harness diverse talents and perspectives from every background to not only address our customers' most urgent priorities but anticipate the needs of the future.