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Senior Data Engineer Jobs in Maple Grove, MN (NOW HIRING)

Data Engineer

Minneapolis, MN ยท Remote

$117K - $140K/yr

Senior Data Engineer Location: Minneapolis, MN(Remote) AI Dojo Databricks SRE/Support Engineer As Databricks SRE and Support Engineer, you will work on operations related to AI Dojo (AI/ML upskilling ...

Senior Databricks

Chanhassen, MN ยท On-site

$124K - $164K/yr

We are seeking a Senior Databricks Analytics Engineer to help design and build a new Databricks-based analytics platform from the ground up. * This individual will work closely with Data & AI ...

About the Role We are seeking an experienced Senior Data Scientist to join a collaborative, fast ... You'''''ll partner closely with data engineers, business stakeholders, and fellow data scientists ...

Data Engineer - Senior Manager

Minneapolis, MN ยท On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Senior Data Analyst

Minneapolis, MN ยท On-site

$70K - $130K/yr

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet ... Partner with data engineers, product partners and business leaders to identify meaningful ...

Senior Data Analyst

Minneapolis, MN ยท On-site

$70K - $130K/yr

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet ... Partner with data engineers, product partners and business leaders to identify meaningful ...

Senior Data Analyst

Minneapolis, MN ยท On-site

$70K - $130K/yr

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet ... Partner with data engineers, product partners and business leaders to identify meaningful ...

Senior Data Architect

Minneapolis, MN ยท On-site

$70.25 - $94/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Provide technical leadership and mentorship to database administrators, database developers, and ...

Data Engineer Senior

Bloomington, MN ยท 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 ยท 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 ...

Data Engineer Senior

Bloomington, MN ยท 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 ...

Sr. Data & Software Engineer

Minneapolis, MN ยท On-site

$127K - $168K/yr

We are seeking a Sr. Data & Software Engineer to join our rapidly growing product and engineering development team. Our company specializes in enterprise-level media measurement and optimization ...

Showing results 41-60

Senior Data Engineer information

See Maple Grove, MN salary details

$82.9K

$129.4K

$179.2K

How much do senior data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior data engineer in Maple Grove, MN is $129,353.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,400.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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

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

What are popular job titles related to Senior Data Engineer jobs in Maple Grove, MN?

For Senior Data Engineer jobs in Maple Grove, MN, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer jobs in Maple Grove, MN look for?

The top searched job categories for Senior Data Engineer jobs in Maple Grove, MN are:

What cities near Maple Grove, MN are hiring for Senior Data Engineer jobs?

Cities near Maple Grove, MN with the most Senior Data Engineer job openings:

Infographic showing various Senior Data Engineer job openings in Maple Grove, MN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,353 per year, or $62.2 per hour.

Data Engineer

Noblesoft Technologies

Minneapolis, MN โ€ข Remote

$117K - $140K/yr

Contractor

Re-posted 5 days ago


Job description

Job Title: Senior Data Engineer
Location: Minneapolis, MN(Remote)
Job Description:
AI Dojo Databricks SRE/Support Engineer

As Databricks SRE and Support Engineer, you will work on operations related to AI Dojo (AI/ML upskilling program developed by Optum/UHG) on Databricks. This individual contributor (IC) role requires experience on working on large-scale AI/ML platforms guaranteeing stability, reliability, scalability, and performance. Experience with modern Infrastructure and DevOps tools and paradigms, as well as proven hands-on knowledge with Databricks is a must.
Primary Responsibilities:
•    Continuous support: Provide continuous SRE support to thousands of geographically distributed users on the AI Dojo Databricks platform: respond to tickets, triage support, liaise with customers.  
•    Automation & DevOps: Improve existing Infrastructure as Code (IaC) according to best DevOps practices.
•    Systems Monitoring: Develop and maintain monitoring frameworks to timely respond to outages and other service interruptions.
Required Qualifications:
•    Bachelor’s degree in computer science, information technology, or a related field.
•    6+ years of infrastructure experience: Proven experience working on large-scale, cloud-based, enterprise-level software platforms and deep understanding of Databricks environment. In particular:
•    Experience building Github Actions pipelines including composite actions, OIDC federation for cloud provider identity acquisition, and use of environments and deployment controls
•    Experience building Databricks Asset Bundle and Terraform pipelines to manage and deploy Databricks Platform and Workspace resources
•    Fluency in Python, experience with the Databricks Python SDK to perform Workspace operations, and familiarity with PySpark and Delta Lake.
•    Deep familiarity with Databricks APIs, and use of the Databricks CLI for use provisioning Workspace identities, filesystem resources, and the querying of account and workspace level Users, Groups, and Service Principals
•    Strong understanding of security best practices and experience ensuring compliance with relevant regulatory frameworks.
•    3+ years of practical experience in Infrastructure-as-Code and CI/CD tools like Terraform, Git Actions and alike.
•    3+ years of experience working in support teams that are geographically distributed