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Principal Statistical Programmer Jobs in Minnesota

HealthPartners

Data Engineer Principal

Bloomington, MN · On-site

$39.89 - $55.55/hr

HealthPartners is hiring a Data Engineer, Principal. Our mission is to provide simple and ... Bachelor's degree in computer science, data or social science, operations research, statistics ...

HealthPartners

Data Engineer Principal

Bloomington, MN

$115K - $138K/yr

HealthPartners is hiring a Data Engineer, Principal. Our mission is to provide simple and ... Bachelor's degree in computer science, data or social science, operations research, statistics ...

HealthPartners

Data Engineer Principal

Bloomington, MN

$115K - $138K/yr

HealthPartners is hiring a Data Engineer, Principal. Our mission is to provide simple and ... Bachelor's degree in computer science, data or social science, operations research, statistics ...

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All JobsPrincipal Statistical Programmer JobsPrincipal Statistical Programmer Jobs in Minnesota

Principal Statistical Programmer information

See Minnesota salary details

$54

$82

$114

How much do principal statistical programmer jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for principal statistical programmer in Minnesota is $82.82, according to ZipRecruiter salary data. Most workers in this role earn between $71.35 and $95.58 per hour, depending on experience, location, and employer.

What is a Principal Statistical Programmer job?

A Principal Statistical Programmer is a senior-level professional responsible for developing, validating, and maintaining statistical programs used in clinical trials and regulatory submissions. They ensure data accuracy, adherence to industry standards (such as CDISC), and compliance with regulatory requirements. They collaborate with statisticians, data managers, and clinical teams to analyze and report trial results. Additionally, they may mentor junior programmers and contribute to process improvements in statistical programming workflows.

What are the key skills and qualifications needed to thrive in the Principal Statistical Programmer position, and why are they important?

To thrive as a Principal Statistical Programmer, you need advanced expertise in statistical programming (typically with SAS or R), a strong understanding of clinical trial data, and a degree in a relevant field such as statistics, mathematics, or computer science. Familiarity with CDISC standards (SDTM, ADaM), regulatory submission requirements, and project management tools is highly valued, and certifications like SAS Certified Advanced Programmer can be advantageous. Leadership, problem-solving, attention to detail, and excellent communication skills are important for managing complex projects and collaborating across multidisciplinary teams. These skills collectively ensure accuracy, regulatory compliance, and successful delivery of statistical programming support within clinical research environments.

What are the typical daily responsibilities of a Principal Statistical Programmer in a clinical research setting?

As a Principal Statistical Programmer, your daily responsibilities often include developing, validating, and maintaining complex statistical programs to support clinical trial data analysis and regulatory submissions. You may lead programming teams, mentor junior staff, and act as a technical expert on study projects, collaborating closely with statisticians, data managers, and clinical teams. The role frequently involves reviewing statistical analysis plans (SAPs), generating data listings and summary tables, and ensuring adherence to industry standards such as CDISC. Effective communication and time management are key, as you’ll often work on multiple projects simultaneously, balancing deliverables and troubleshooting technical challenges. This position offers diverse, impactful work where your expertise significantly contributes to the integrity and success of clinical research programs.

What are popular job titles related to Principal Statistical Programmer jobs in Minnesota? For Principal Statistical Programmer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Principal Statistical Programmer jobs in Minnesota look for? The top searched job categories for Principal Statistical Programmer jobs in Minnesota are:
What are popular job titles related to Principal Statistical Programmer jobs in MN? For Principal Statistical Programmer jobs in MN, the most frequently searched job titles are:
Principal Statistical Programmer jobs near you
Infographic showing various Principal Statistical Programmer job openings in Minnesota as of June 2026, with employment types broken down into 67% Full Time, 20% Part Time, 3% Temporary, 3% Contract, and 7% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $172,263 per year, or $82.8 per hour.
Data Engineer Principal

Data Engineer Principal

HealthPartners

Bloomington, MN • On-site

$39.89 - $55.55/hr

Full-time

Medical, Retirement

Posted 11 days ago

HealthPartners rating

7.6

Company rating: 7.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

187th of 872 rated healthcare providers

Job description

Job Description
HealthPartners is hiring a Data Engineer, Principal. Our mission is to provide simple and affordable healthcare. HealthPartners teams use data to improve patient and member experience, improve health, and reduce the per capita cost of health care. HealthPartners data engineers are responsible for building, managing and optimizing data pipelines that facilitate data movement in service of these goals by implementing and testing methods (or build systems) that improve data reliability and quality. Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading practices in the field, and develop processes to effectively store, manage and deliver data. As part of their role, data engineers are responsible for reducing manual data work and improving productivity; they employ and test innovative tools, techniques and architectures to detect patterns and automate common or repetitive data preparation and integration tasks.
ACCOUNTABILITIES:
  • All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning.
  • Work with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand
  • Collaborate with other engineers to design technology solutions that achieve measurable results at scale
  • Collaborate with data scientists to train, develop and operationalize learning models
  • Provide technical thought leadership for efficient data pipeline processes, warehouse architecture and business intelligence functions.
  • Identify, design and implement software architecture to manage software development tasks associated with developing, debugging, or designing software applications, operating systems, and databases according to provided design specifications.
  • Build enhancements within an existing software architecture and envision future improvements to the architecture.
  • Assist in the development of short, medium, and long-term plans to achieve strategic objectives.
  • Guide, mentor, influence, and adopt a cloud-first modern data architectural direction, and consistently adopt the associated standards and best practices
  • Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (such as new technologies and upgrades).
  • Collaborate with cross-function engineering teams to design interfaces that support data integration with internal and external platforms
  • Data engineers perform other duties as required, to meet team sprint goals

REQUIRED SKILLS/ QUALIFICATIONS:
  • Bachelor's degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field AND 4 or more years of experience in business analytics, data science, software development, data modeling and/or data engineering work OR Master's Degree in Computer Science, Math, Software is acceptable
  • 10 or more years of programming experience with command in at least two or more of the following programming languages: SQL, Python, Java, R or Spark
  • Expert proficiency in SQL; experience with Oracle, PostgreSQL, MySQL, or Microsoft SQL Server
  • 10 or more years of experience using a combination of tools such as Azure Data Factory, Synapse, Data Explorer, App Insights, Power BI, and Databricks
  • 3 or more years of experience using Azure CosmosDB and Azure Data Lake Storage
  • Must be motivated, self-driven, curious, and creative
  • Proven ability to lead projects and teams with minimal guidance
  • Must be skilled communicator, and demonstrate an ability to work with end users and business leaders
  • Demonstrate the ability to support and complement the work of a diverse development and/or operations team
  • Lead a collaborative, cross-functional team, Active participation in sprint reviews
  • Expert and a minimum of five year's experience in the following domains: Data management, software engineering, I&O (infrastructure and operations)

PREFERRED QUALIFICATIONS:
  • Knowledge of health care operations
  • Exposure to agile/scrum
  • Ability to work in a hybrid cloud environment consisting of on premise and public cloud infrastructure. An ideal candidate will have experience with one or more of the following skill sets
    • Expert in Relational databases like Oracle, SQL server
    • Expert in Optimizing and tuning SQL/Oracle queries, stored procedures and triggers
    • Expert in Python (numpy, pandas, matplotlib etc) and Jupyter notebooks for exploratory data analysis, machine learning, and process automation
    • Expert in areas of CI/CD, Continuous testing, and site reliability engineering.
    • Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks /Spark, Power BI, PowerApps.
    • Expert in event streaming tools like NiFi, Kafka and Flink
    • Expert in data processing tools, like Apache's Sqoop, Spark and Hive
    • Expert in Document or NoSQL datastores, particularly MongoDB
    • Expert in Power BI data models using advanced Power Query and DAX
    • Expert in in AI/ML Ops
  • Interest and desire to contribute to emerging practices around DataOps (CI/CD, IaC, configuration management, etc.)
  • Collaborate effectively with product management, program management, engineers, and stakeholders.
  • Excellent analytical and critical thinking skills
  • Ability to influence without authority and thrive in an ambiguous environment.

About Us
At HealthPartners we believe in the power of good - good deeds and good people working together. As part of our team, you'll find an inclusive environment that encourages new ways of thinking, celebrates differences, and recognizes hard work.
We're a nonprofit, integrated health care organization, providing health insurance in six states and high-quality care at more than 90 locations, including hospitals and clinics in Minnesota and Wisconsin. We bring together research and education through HealthPartners Institute, training medical professionals across the region and conducting innovative research that improve lives around the world.
At HealthPartners, everyone is welcome, included and valued. We're working together to increase diversity and inclusion in our workplace, advance health equity in care and coverage, and partner with the community as advocates for change.
Benefits Designed to Support Your Total HealthAs a HealthPartners colleague, we're committed to nurturing your diverse talents, valuing your dedication, and supporting your work-life balance. We offer a comprehensive range of benefits to support every aspect of your life, including health, time off, retirement planning, and continuous learning opportunities. Our goal is to help you thrive physically, mentally, emotionally, and financially, so you can continue delivering exceptional care.
Join us in our mission to improve the health and well-being of our patients, members, and communities.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identify, status as a veteran and basis of disability or any other federal, state or local protected class.

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