ZipRecruiter

Log In

1

Synapse Jobs in Minnesota (NOW HIRING)

HealthPartners

Data Engineer Senior

Bloomington, MN · On-site

$51.85 - $77.77/hr

Four (4) years of experience in at least one of the BI/Analytics space such as Azure Data Factory, Synapse, Data Explorer, Cosmos, App Insights, Power BI, and Databricks (or similar) * Three (3) ...

Dlapiper

Data Engineer

Minneapolis, MN

$119K - $143K/yr

Build and maintain data warehousing capabilities (e.g., Azure Synapse Analytics) to support analytics and reporting workloads. Data Quality, Reliability & Operations * Identify, troubleshoot, and ...

Accanto Health

Data Architect

Roseville, MN · On-site

$140K - $160K/yr

Hands-on experience designing data platforms in Azure (ADF, Synapse, Data Lake, SQL) * Demonstrated experience integrating EHR, CRM, and financial systems * Proven experience working with EHR vendor ...

Worky

Cloud/AI Engineer

Virginia, MN · On-site

$150 - $230/hr

Experience leading or executing migrations from on-premises data warehouses to cloud-based data warehouse platforms (e.g., Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse), including data ...

New

Coffee And Bagel Brands

Data Architect

Brooklyn Center, MN · On-site

$65.75 - $84.75/hr

Hands-on experience with cloud data platforms (Snowflake, Azure Synapse, Databricks, or equivalent). * Experience building and maintaining ETL/ELT pipelines using tools such as Azure Data Factory ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

Design lake house and warehouse environments using Databricks, Synapse, ADF, Delta Lake, and scalable compute layers * Build end-to-end data flows covering batch, streaming, ELT pipelines, metadata ...

IP Corporation

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $145K/yr

Experience building ETL/ELT data pipelines using Microsoft Fabric Data Factory, Azure Data Factory, Synapse, or similar technologies. * Experience integrating data from operational technology (OT ...

The Emily Program

Data Architect

Roseville, MN · On-site

$140K - $160K/yr

Hands-on experience designing data platforms in Azure (ADF, Synapse, Data Lake, SQL) * Demonstrated experience integrating EHR, CRM, and financial systems * Proven experience working with EHR vendor ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · On-site

$108K - $146K/yr

Design lake house and warehouse environments using Databricks, Synapse, ADF, Delta Lake, and scalable compute layers * Build end-to-end data flows covering batch, streaming, ELT pipelines, metadata ...

Coffee & Bagel Brands

Data Architect

Brooklyn Center, MN · On-site

$91 - $151/hr

Hands-on experience with cloud data platforms (Snowflake, Azure Synapse, Databricks, or equivalent).Experience building and maintaining ETL/ELT pipelines using tools such as Azure Data Factory, dbt ...

previous pagenext page

Showing results 21-40

All JobsSynapse JobsSynapse Jobs in Minnesota

Synapse information

See Minnesota salary details

$17K

$107.7K

$150.6K

How much do synapse jobs pay per year?

As of Aug 20, 2026, the average yearly pay for synapse in Minnesota is $107,748.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,388.00 and $134,569.00 per year, depending on experience, location, and employer.

What is a synapse?

A Synapse job typically refers to a role related to Microsoft Azure Synapse Analytics, a cloud-based big data and analytics service. Professionals in this role work with data integration, analysis, and processing, often using SQL, Spark, and AI tools. Responsibilities may include data warehousing, pipeline creation, performance optimization, and security management. These roles are common in industries requiring large-scale data analytics and business intelligence.

What are the key skills and qualifications needed to thrive as a synapse software engineer, and why are they important?

To excel as a Synapse Software Engineer, you need strong programming skills, experience with cloud data platforms (especially Azure Synapse Analytics), and a background in computer science or a related field. Familiarity with SQL, data integration tools, Azure Data Factory, and certifications like Microsoft Certified: Azure Data Engineer Associate are often required. Problem-solving, attention to detail, and effective communication are vital soft skills for collaborating on complex data projects. These competencies ensure efficient data solutions, robust analytics pipelines, and successful outcomes in fast-evolving enterprise environments.

What are some common challenges faced by synapse engineers when integrating new neural models into existing systems?

Synapse engineers often encounter challenges with compatibility and scalability when integrating new neural models into established systems. Balancing the need for high performance with resource constraints, such as memory and processing power, is a frequent obstacle. Additionally, ensuring seamless communication between different components and maintaining system stability during updates requires careful testing and collaboration with cross-functional teams. Staying current with evolving machine learning frameworks also presents an ongoing learning curve.

What is the difference between Synapse vs Data Analyst?

AspectSynapseData Analyst
CredentialsTypically requires knowledge of Azure Synapse, data engineering, and cloud platformsOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst Associate are common
Work EnvironmentPrimarily cloud-based, involving data integration, warehousing, and big data processingUsually office-based, focusing on data interpretation, reporting, and visualization
Industry UsageUsed in data engineering, data warehousing, and big data projects within tech, finance, and healthcareCommon in business intelligence, marketing, finance, and consulting sectors

Synapse is a cloud-based data platform focusing on data integration and big data processing, while a Data Analyst primarily interprets data and creates reports. Both roles often collaborate but serve different functions within data management and analysis.

What are popular job titles related to Synapse jobs in Minnesota?

For Synapse jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Synapse jobs in Minnesota look for?

The top searched job categories for Synapse jobs in Minnesota are:

What cities in Minnesota are hiring for Synapse jobs?

Cities in Minnesota with the most Synapse job openings:

Synapse jobs near you
Infographic showing various Synapse job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 5% Part Time, 11% Contract, and 1% Nights. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution, with an average salary of $107,748 per year, or $51.8 per hour.

Data Engineer Senior

HealthPartners

Bloomington, MN • On-site

$51.85 - $77.77/hr

Full-time

Medical, Retirement

Re-posted 15 days ago

HealthPartners rating

7.6

Company rating: 7.6 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

190th of 889 rated healthcare providers

Job description


HealthPartners is hiring a Data Engineer. This role supports Care Delivery Finance and plays a key part in delivering a governed, scalable analytics platform that provides Finance and operational leaders with trusted, actionable insights across the organization.
The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics Power BI App, the enterprise hub for financial, workforce, and operational reporting. This platform integrates data from multiple enterprise systems and delivers a consistent, user-friendly reporting experience that enables informed decision-making, performance monitoring, financial stewardship, and strategic planning.
Working closely with finance, operational, and technology partners, this individual will design, develop, and optimize data solutions that ensure leaders have timely, accurate, and meaningful information to drive business outcomes across HealthPartners.
Required Qualifications:
  • Bachelor's degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field AND Four (4) 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.
  • Five (5) years of programming experience with command in at least two languages: SQL, Python, Java, R or Spark
  • Expert proficiency in SQL; experience with Oracle, PostgreSQL, MySQL, or Microsoft SQL Server
  • Four (4) years of experience in at least one of the BI/Analytics space such as Azure Data Factory, Synapse, Data Explorer, Cosmos, App Insights, Power BI, and Databricks (or similar)
  • Three (3) years of experience in the areas of Graph databases, Big Data, or Hyper Scale products in Azure.
  • Experience using Git, or a comparable code repository.
  • Must be motivated, self-driven, curious, and creative.
  • 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.
  • Experience working in a collaborative, cross-functional team; Active participation in sprint reviews.
  • Expert Knowledge and a minimum of four years' 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 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.

Responsibilities:
  • 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.
  • Collaborate 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 developers to design technology solutions that achieve measurable results at scale.
  • Collaborate with data scientists to train, develop, and operationalize learning models.
  • Build, design, and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation required to provide access to prepared data sets for analysts and data scientists.
  • Evaluate and recommend technology and frameworks for building cross product data assets to optimize flexibility, long-term viability, and time to market.
  • Guide, mentor, influence, and adopt a cloud-first modern data architectural direction and consistently adopt the associated standards and best practices.
  • Anticipate the need for data governance and work with designated committees to ensure that data modeling and data handling procedures are compliant with applicable laws and policies across data pipeline.
  • Leads root cause analysis in response to detected problems/anomalies to identify the reason for alerts and implement advanced solutions that prevent recurring points of failure.
  • Applies in-depth knowledge of the business to design a data model that is appropriate for the project and translates business requirements into design specification documents to model the flow and storage of data across multiple data pipelines.
  • Identifies multiple, complex data sources and builds advanced code to extract raw data from identified upstream sources using query languages, tools, or machine learning algorithms, while assuring accuracy, validity, and reliability of the data across the pipeline.
  • Formulate techniques for quality data collection to ensure adequacy, accuracy, and legitimacy of data.
  • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance.
  • Participate in code reviews and champion the adoption of best practices.
  • Support the data environment by releasing new features, resolving issues for users, and working with other technology teams.
  • Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (such as new technologies and upgrades).
  • Applies in-depth knowledge of the business to design a data model that is appropriate for the project and translates business requirements into design specification documents to model the flow and storage of data across multiple data pipelines.
  • Data engineers perform other duties as required, to meet team sprint goals.

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.

What HealthPartners employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply