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Sr Data Engineer Jobs in Minnesota (NOW HIRING)

Senior Data Scientist The Role We are seeking a Senior Data Scientist to lead the design ... Data Engineering & Data Architecture * Design, develop, and maintain analytical data models, views ...

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 ...

Showing results 41-60

Sr Data Engineer information

See Minnesota salary details

$79.3K

$123.7K

$171.4K

How much do sr data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for sr data engineer in Minnesota is $123,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $141,000.00 per year, depending on experience, location, and employer.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are popular job titles related to Sr Data Engineer jobs in Minnesota?

For Sr Data Engineer jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Sr Data Engineer jobs?

Cities in Minnesota with the most Sr Data Engineer job openings:

Infographic showing various Sr Data Engineer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $123,727 per year, or $59.5 per hour.

Senior Engineer

Tata Consultancy Service Limited

Minnesota City, MN โ€ข On-site

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Job description

Data Engineer / Architect for RMN Identity Spine
Must Have Technical/Functional Skills
Senior data engineering talent to support the extension of its existing first-party customer ID spine into an
identity spine for Retail Media Network use cases. This role will work across customer identity,
ad network IDs, partner IDs, clean room integrations, exposure logs, audience activation and measurement
use cases.
Roles & Responsibilities
โ€ข Design and build data pipelines and models connecting first-party customer IDs with ad ecosystem identifiers.
โ€ข Support integrations with partner IDs and platforms such as Google, Meta, LiveRamp, UID2, clean rooms and third-party data providers.
โ€ข Build identity linkage layers for audience activation, personalization, direct partner matching and measurement.
โ€ข Ingest and structure exposure logs for campaign measurement, attribution and incrementality use cases.
โ€ข Apply consent, privacy, governance and data minimization rules across identity workflows.
โ€ข Partner with BBY product, data, privacy, engineering, media and decision science teams.
โ€ข Experience with customer identity, CDP, MDM, CRM, audience or identity graph use cases.
โ€ข Familiarity with ad tech identifiers, media platform IDs, hashed emails, clean room matching or partner identity resolution.
โ€ข Strong data engineering experience on GCP, especially BigQuery.
โ€ข Advanced SQL and data modeling.
โ€ข Experience building data assets for activation, measurement or attribution.
โ€ข Ability to operate independently with senior stakeholders.
Generic Managerial Skills, If any
โ€ข LiveRamp, UID2, Google PAIR, Meta, Google Ads / DV360 / CM360, clean rooms.
โ€ข Snowflake, AWS Clean Rooms, Epsilon, Acxiom or similar data partnerships.
Retail media, ecommerce, media measurement or MTA experience.
Education
B.Tech or 4-year college / university degree with a relevant post-graduate qualification from premier institution
TCS Employee Benefits Summary
โ€ข Discretionary Annual Incentive.
โ€ข Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
โ€ข Family Support: Maternal & Parental Leaves.
โ€ข Insurance Options: Auto & Home Insurance, Identity Theft Protection.
โ€ข Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
โ€ข Time Off: Vacation, Time Off, Sick Leave & Holidays.
โ€ข Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $110000 - 130000 a year
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