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Senior Geospatial Data Engineer Jobs in Minnesota

Senior Data Engineer

Eden Prairie, MN · On-site

$91K - $163K/yr

Growing together As a Senior Data Engineer, you will be responsible for developing complex data sources and pipelines within our data platform, including Snowflake, Azure, Airflow, and related ...

Sr. Data Engineer

Minneapolis, MN · Remote

$110K - $150K/yr

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our data engineering function. You will bring deep Snowflake expertise and strong engineering instincts ...

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Data Science and Analytics Summary of Job: As a senior analytics engineer, you'll work across a dynamic client roster designing and building data solutions that connect media, site, and marketing ...

Data Engineer Senior

Bloomington, MN

$115K - $138K/yr

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 ...

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

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 ...

Data Engineer Senior

Bloomington, MN · On-site

$51.85 - $77.77/hr

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 ...

Senior Data Engineer

Eden Prairie, MN · Hybrid

$108K - $146K/yr

The Data Engineer makes the data usable, trusted, secure, and repeatable. This person handles data discovery, access, pipelines, transformations, quality checks, retrieval layers, metadata, and data ...

Senior Data Engineer

Eden Prairie, MN · On-site

$108K - $146K/yr

The Data Engineer makes the data usable, trusted, secure, and repeatable. This person handles data discovery, access, pipelines, transformations, quality checks, retrieval layers, metadata, and data ...

Senior Data Engineer

Saint Paul, MN · On-site

$139K - $230K/yr

As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Mid-to-Senior level Job Overview Our client is seeking an experienced AWS Data Engineer to join their team in Minneapolis, MN. The ideal candidate will have hands-on experience delivering data ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Role: Sr. AWS Cloud Data Engineer Location: Minneapolis, MN 55401 - Fulltime Position Must Have Technical/Functional Skills: * Data engineering background and hands-on work experience building data ...

This is a hands-on delivery lead role specialized in data engineering Strong communication skill to work with senior executives 20-25 years of experience in Information Technology services across ...

Senior Data Engineer

Hopkins, MN · On-site

$107K - $146K/yr

At Sovos, we're building a world-class financial data platform to support a global tax compliance leader - and the Senior Data Engineer is the foundation it all runs on. In this role, you'll own the ...

Showing results 21-40

Senior Geospatial Data Engineer information

What are the key skills and qualifications needed to thrive as a senior geospatial data engineer?

To thrive as a Senior Geospatial Data Engineer, you need advanced expertise in geospatial analysis, spatial databases, and programming languages like Python or SQL, often backed by a degree in GIS, computer science, or related fields. Familiarity with GIS platforms (such as ArcGIS or QGIS), cloud computing services, and big data frameworks is typically required, along with relevant certifications in GIS or cloud technologies. Strong problem-solving, communication, and project leadership skills set top performers apart in this role. These competencies are essential for designing and implementing scalable geospatial solutions that accurately support decision-making and organizational goals.

What is the difference between Senior Geospatial Data Engineer vs Geospatial Data Analyst?

AspectSenior Geospatial Data EngineerGeospatial Data Analyst
CredentialsBachelor's or Master's in GIS, Computer Science, or related field; experience with GIS software and programmingBachelor's or Master's in Geography, GIS, or related field; proficiency in GIS tools and data analysis
Work EnvironmentData engineering teams, GIS departments, tech companies, government agenciesResearch teams, GIS departments, consulting firms, government agencies
Employer & Industry UsageTech firms, environmental agencies, urban planning, transportationResearch institutions, government agencies, consulting firms

The Senior Geospatial Data Engineer focuses on building and maintaining geospatial data infrastructure, pipelines, and systems, often requiring programming and data engineering skills. In contrast, the Geospatial Data Analyst primarily interprets and visualizes geospatial data to support decision-making. Both roles require GIS knowledge but differ in technical depth and focus areas.

What are some typical challenges a senior geospatial data engineer faces when integrating diverse data sources?

One common challenge is ensuring data compatibility and consistency across various formats, such as raster, vector, and tabular data, which often originate from different providers or systems. Senior Geospatial Data Engineers must address issues like differing coordinate reference systems, data quality, and incomplete metadata. Collaborating closely with data scientists, GIS analysts, and software developers is crucial to develop robust pipelines and resolve integration issues efficiently. Staying updated with evolving geospatial technologies and standards also plays a key role in overcoming these challenges.

What is a senior geospatial data engineer?

A Senior Geospatial Data Engineer is a specialized data professional who designs, develops, and maintains systems that process and analyze spatial or geographic data. They work with large geospatial datasets, build data pipelines, and develop scalable solutions for mapping, location intelligence, and spatial analytics. These engineers often collaborate with data scientists, GIS specialists, and software developers to integrate geospatial data into applications and decision-making processes. Their expertise includes working with GIS software, spatial databases, and cloud-based geospatial tools. Senior-level engineers typically also mentor junior staff and help set technical direction for geospatial projects.

What are the most commonly searched types of Geospatial Data Engineer jobs in Minnesota?

The most popular types of Geospatial Data Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Senior Geospatial Data Engineer jobs?

Cities in Minnesota with the most Senior Geospatial Data Engineer job openings:

Senior Data Engineer

UnitedHealth Group

Eden Prairie, MN • On-site

$91K - $163K/yr

Full-time

Retirement

Re-posted 29 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th of 887 rated healthcare providers


Job description

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together

 

As a Senior Data Engineer, you will be responsible for developing complex data sources and pipelines within our data platform, including Snowflake, Azure, Airflow, and related automation tools.

You will work closely with Data, Architecture, Business Analysts, and Data Stewards to align requirements, specifications, and constraints across solutions. This role also helps identify gaps in resources, technology, or capabilities and partners with the data engineering team to implement effective solutions with a solid focus on customer usability.

 

Primary Responsibilities:

  • Integrate data from multiple on-premises and cloud sources and systems, handling ingestion, transformation, and consolidation to create a unified and reliable data foundation for analysis and reporting
  • Develop data transformation routines to clean, normalize, and aggregate data, including handling complex data structures and missing or inconsistent data
  • Implement data de-identification and data masking in line with company standards
  • Monitor data pipelines and data systems to detect and resolve issues promptly
  • Develop monitoring tools and automate error-handling mechanisms to ensure data integrity and system reliability
  • Use data quality tools such as Great Expectations or Soda to support the accuracy, reliability, and integrity of data throughout its lifecycle
  • Create and maintain data pipelines using Airflow and Snowflake as primary tools
  • Develop SQL stored procedures to perform complex transformations
  • Understand data requirements and design optimal pipelines to fulfill business use cases
  • Create logical and physical data models to maintain data integrity
  • Support CI/CD pipeline creation and automation using Git and Git Actions
  • Tune and optimize data processes


You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree in Computer Science or a related field
  • Hands-on experience developing data pipelines in Snowflake and writing complex SQL queries
  • Proven hands-on experience as a Data Engineer
  • Experience with CI/CD pipelines using Git and Git Actions
  • Experience building ETL/ELT data pipelines
  • Experience with related open-source platforms and languages such as Scala, Python, Java, and Linux
  • Experience with relational and non-relational databases
  • Experience working on Agile/Scrum projects with high-performing teams
  • Knowledge of data modeling techniques, including star schema, dimensional models, and Data Vault
  • Knowledge of data warehousing principles, architecture, and implementation
  • Knowledge of mesh compliance is desirable but not essential
  • Solid knowledge of Python
  • In-depth knowledge of Snowflake architecture, features, and best practices
  • Good understanding of access control, data masking, and row access policies
  • Exposure to DevOps methodology
  • Proficiency in SQL, including window functions and advanced features
  • Proven solid written and verbal communication skills
  • Proven solid analytical and problem-solving skills applied to large data sets


Preferred Qualifications:

  • Bachelor's degree or higher in Database Management, Information Technology, Computer Science, or a related field
  • Experience in Data Engineering
  • Experience orchestrating data tasks in Airflow to run on Kubernetes for data ingestion, processing, and cleaning
  • Experience with Databricks 
  • Familiarity with Azure services such as Blob Storage, Functions, Azure Data Factory, Service Principal, Containers, and Key Vault
  • Expertise in designing and implementing data pipelines to process high volumes of data
  • Motivated self-starter who excels at managing tasks independently and takes ownership
  • Proven ability to create Docker images for applications to run on Kubernetes


Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to$163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.


At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.


UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.


UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.


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