Senior Data Engineer

Solventum Corporation
Maplewood, MN, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$143,200.0 - $196,900.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Automation of Tests Microsoft Azure Cloud Computing Information Systems Data Architecture Information Engineering Extract Transform Load (ETL) Data Systems Software Debugging
+20 more
Decision Support Systems Dimensional Modeling Github Python (Programming Language) Machine Learning Microsoft Visual Studio Power BI Cloud Services Software Deployment SQL Stored Procedures SQL Databases Tableau (Software) Sql Optimization Retrieval-Augmented Generation Snowflake Data Layers Semi-structured Data Data Lineage Database View Software Version Control

Job description

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. Here, you will make an impact by:

  • 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.

Requirements

  • 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, * 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 nontechnical 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.

Benefits & conditions

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. In addition, this position may be eligible for a range of 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.). Additional information is available at: https://www.solventum.com/en-us/home/our-company/careers/#Total-Rewards

Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.

Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.

Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.

Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.

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.

About the company

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, At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients’ lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.

We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.

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