ZipRecruiter

Log In

1

Data Engineer Jobs in Minnetonka, MN (NOW HIRING)

Cargill

Sr. Data Engineer

Wayzata, MN · On-site

$116K - $139K/yr

Within Food Data Engineering Americas, this role builds and operates data products on Cargill's Minerva platform, supporting the ongoing migration off CDP and enabling scalable, governed data ...

Cargill

Sr. Data Engineer

Wayzata, MN · On-site

$116K - $139K/yr

Within Food Data Engineering Americas, this role builds and operates data products on Cargill's Minerva platform, supporting the ongoing migration off CDP and enabling scalable, governed data ...

Cargill

Sr. Data Engineer

Wayzata, MN · On-site

$116K - $139K/yr

Within Food Data Engineering Americas, this role builds and operates data products on Cargills Minerva platform, supporting the ongoing migration off CDP and enabling scalable, governed data ...

HealthPartners

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 ...

HealthPartners

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 ...

HealthPartners

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 ...

Ztek Consulting INC

Lead Data Engineer

Minneapolis, MN · On-site

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 ...

Navtech, Inc.

Azure Data Engineer

Eden Prairie, MN · On-site

$116K - $140K/yr

Azure Data Engineer Location: Remote Duration: 6 Months Need Candidate on W2 only Skillset Requirements: * 5-7+ years of experience as a data engineer * Experience in utilizing Azure and the date ...

Palomar

Sr. Data Engineer

Edina, MN · On-site

$125 - $165/hr

As a Senior Data Engineer at Palomar, you will lead the design, development, and optimization of robust, scalable data solutions that power our business. You will mentor junior engineers, drive best ...

New

HealthPartners

Data Engineer Senior

Bloomington, MN · On-site

$80 - $110/hr

HealthPartners is hiring a Data Engineer. The role will support Care Delivery Finance. They are responsible for delivering a governed, scalable analytics platform that provides Finance and ...

Syntricate Technologies

Azure Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Syntricate Technologies is seeking an Azure Data Engineer to focus on data warehousing and pipeline creation. The role involves developing ETL processes and working with various relational databases ...

Daikin Applied

Data Engineer III

Plymouth, MN · On-site

$119K - $143K/yr

Data Engineer III - Plymouth, MN - Onsite Daikin Applied is seeking a Data Engineer III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products ...

Daikinapplied

Data Engineer III

Minneapolis, MN · On-site

$90K - $153K/yr

Data Engineer III - Plymouth, MN - Onsite Daikin Applied is seeking a Data Engineer III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products ...

Pwc

Data Engineer - Senior Manager

Minneapolis, MN

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Deloitte

Sr Databricks Data Engineer

Minneapolis, MN

$119K - $143K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Conch Technologies Inc

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Senior Data Engineer Location: Minneapolis, MN or Madison, WI Duration: 6+ Months Note :Only W2 no C2C Job Summary We are looking for a Senior Data Engineer with strong hands-on experience building ...

Nastech Global

AWS Cloud Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

AWS Cloud Data Engineer Must Have Technical/Functional Skills: * Data engineering background and hands-on work experience building data pipelines, ETL/ELT, using AWS services (Ex. S3, Glue, Step ...

Ryan Companies US Inc

Senior Data Engineer

Minneapolis, MN · On-site

$115 - $144/hr

The Senior Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan ...

New

Ziegler Cat

Data Engineer (On-Premise)

Minneapolis, MN · On-site

$95 - $119/hr

Data Engineer - Ziegler CAT Ziegler CAT has an opening for a Data Engineer to design, develop, maintain, and optimize Ziegler's enterprise data platform and integration architecture. This position ...

previous pagenext page

Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Minnetonka, MN

Data Engineer information

See Minnetonka, MN salary details

$45.4K

$132.2K

$180.9K

How much do data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data engineer in Minnetonka, MN is $132,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $140,200.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Minnetonka, MN?

The most popular types of Data Engineer jobs in Minnetonka, MN are:

What are popular job titles related to Data Engineer jobs in Minnetonka, MN?

For Data Engineer jobs in Minnetonka, MN, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Minnetonka, MN look for?

The top searched job categories for Data Engineer jobs in Minnetonka, MN are:

What cities near Minnetonka, MN are hiring for Data Engineer jobs?

Cities near Minnetonka, MN with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Minnetonka, MN as of August 2026, with employment types broken down into 86% Full Time, 7% Temporary, and 7% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $132,258 per year, or $63.6 per hour.

Sr. Data Engineer

Cargill

Wayzata, MN • On-site

$116K - $139K/yr

Full-time

Posted 16 days ago

Cargill rating

7.4

Company rating: 7.4 out of 10

Based on 225 frontline employees who took The Breakroom Quiz

19th of 49 rated food wholesalers

Job description

Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with life's essentials, we enable businesses to grow, communities to prosper, and consumers to live well.
This position is in our Food Enterprise where we are committed to serving food manufacturers, food service customers, and retailers with a complete range of innovative ingredients and branded products. Our portfolio includes poultry, beef, egg, alternative protein, salt, oils, starches, sweeteners, cocoa and chocolate.
Job Purpose and Impact
  • The Senior Professional, Data Engineering job designs, builds and maintains complex data systems that enable data analysis and reporting. With minimal supervision, this job ensures that large sets of data are efficiently processed and made accessible for decision making. Within Food Data Engineering Americas, this role builds and operates data products on Cargill's Minerva platform, supporting the ongoing migration off CDP and enabling scalable, governed data solutions for Supply Chain, Procurement & Manufacturing, Commercial Excellence, and LATAM domains.

Key Accountabilities
  • Data Infrastructure: Prepares data infrastructure to support the efficient storage and retrieval of data.
  • Data Formats: Examines and resolves appropriate data formats to improve data usability and accessibility across the organization.
  • Data & Analytical Solutions: Develops complex data products and solutions using advanced engineering and cloud-based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
  • Data Pipelines: Develops and maintains streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move it to data stores like data lake, data warehouse and others.
  • Data Systems: Reviews existing data systems and architectures to identify areas for improvement and optimization.
  • Stakeholder Management: Collaborates with multi-functional data and advanced analytic teams to gain requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
  • Data Frameworks: Builds complex prototypes to test new concepts and implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.
  • Automated Deployment Pipelines: Develops automated deployment pipelines improving efficiency of code deployments with fit-for-purpose governance.
  • Data Modeling: Performs complex data modeling in accordance with the datastore technology to ensure sustainable performance and accessibility.
  • Minerva Data Product Delivery: Builds and maintains data products within the Minerva Engineering Framework (MEF), supporting migration of workloads and historical data from CDP to Minerva's Lakehouse and Compute account architecture.
  • Migration Validation: Validates migrated data products using platform reconciliation tooling, ensuring row counts, schema, and aggregate accuracy between legacy (CDP/Impala) and Minerva (AWS Athena/Lakehouse) sources.

Qualifications
  • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience

Preferred Qualifications:
  • Cloud Environments: Experience developing data systems on major cloud platforms (AWS, GCP, Azure). Hands-on AWS experience strongly preferred given Minerva's AWS-native architecture.
  • Data Architecture: Hands-on experience building modern data architectures, including data lakes, data lakehouses, and data hubs, along with related capabilities such as ingestion, governance, modeling, and observability.
  • Data Ingestion: Demonstrated proficiency in data collection, ingestion tools (Kafka, AWS Glue), and storage formats (Iceberg, Parquet).
  • Data Streaming: Experience developing data pipelines with streaming architectures and tools (Confluent Kafka, Apache Flink).
  • Data Modeling: Expertise in data transformation and modeling using SQL-based frameworks and orchestration tools (dbt, AWS Glue, Airflow/Astronomer). Deep experience with modeling concepts like SCD and schema evolution.
  • Data Transformation: Strong background using Spark for data transformation, including streaming, performance tuning, and debugging with Spark UI.
  • Programming: Advanced programming skills in Python, Java, Scala, or similar languages. Expert-level proficiency in SQL for data manipulation and optimization.
  • DevOps: Demonstrated experience in DevOps practices, including code management, CI/CD, and deployment strategies.
  • Data Governance: Strong background in data governance principles, including data quality, privacy, and security considerations for data product development and consumption.
  • Snowflake & Information Warehouse: Working knowledge of Snowflake, including warehouse/database/schema design and the dbt-Snowflake adapter, for provisioning and serving Minerva data products in the Information Warehouse layer.
  • Platform Migration Experience: Prior experience migrating on-premises or legacy platform workloads (e.g., Cloudera, Hadoop, Impala) to a cloud-native lakehouse, including data reconciliation and historical/CDC data loads.
  • Engineering Framework & Tooling: Familiarity with Git-based CI/CD delivery for data products (e.g., Vela CI/CD or similar pipeline tooling), Data Product Package structures, and metadata/catalog tools (e.g., Atlan) for lineage and discovery.
  • Domain & Source Systems: Exposure to SAP source systems and food/CPG domain data (e.g., supply chain, procurement, commercial/sales) is a plus, given FDEAMR's portfolio scope.

Compensation Data
The expected salary for this position is $90,000 - $155,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance.
At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellnessto learn more (subject to certain collective bargaining agreements for Union positions) .
Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law
Equal Opportunity Employer, including Disability/Vet

What Cargill employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Cargill logo

About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

View All Cargill Jobs

Apply