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Contract Databricks Data Engineer Jobs in Minnesota

Data Engineer

New Brighton, MN · On-site

$121K - $145K/yr

Familiarity with Databricks for data engineering and analytics. * Knowledge of data governance, privacy, and cataloging principles. * Familiarity with machine learning workflows and data preparation ...

Data Engineer

New Brighton, MN · On-site

$121K - $145K/yr

Familiarity with Databricks for data engineering and analytics. * Knowledge of data governance, privacy, and cataloging principles. * Familiarity with machine learning workflows and data preparation ...

Data Engineer

Minneapolis, MN · On-site +1

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We ... Experience with Databricks is preferred * Experience with DBT is a bonus * Prior consulting or ...

Data Engineer

Minneapolis, MN · On-site

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We ... Experience with Databricks is a bonus * Experience with DBT is a bonus * Prior consulting or ...

C2C/1099 Contract Client: To Be Discussed Later Work Authorization: * USC * GC * H-1B * OPT-EAD * GC-EAD Responsible for building scalable data products and data pipelines . Data engineering and ELT ...

New

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Contract (Long Term) Experience: Not specified Job Overview Our client is seeking a skilled AWS Data Engineer to join their team in Minneapolis, MN. The ideal candidate will bring hands-on experience ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Contract (Long-term) Experience: Not specified Job Overview Our client is seeking an experienced AWS Data Engineer to join their team in Minneapolis, MN on a long-term contract basis. The ideal ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Contract Experience: 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 ...

Showing results 41-60

Contract Databricks Data Engineer information

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

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

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

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

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

What job categories do people searching Contract Databricks Data Engineer jobs in Minnesota look for?

The top searched job categories for Contract Databricks Data Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Contract Databricks Data Engineer jobs?

Cities in Minnesota with the most Contract Databricks Data Engineer job openings:

Infographic showing various Contract Databricks Data Engineer job openings in Minnesota as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Lead Data Engineer (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI)

Virginia, MN • On-site

$110K - $132K/yr

Other

Posted 25 days ago


Job description

Lead Data Engineer (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment?

At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about data, data modeling, data quality, governance and permissible use, and building data pipelines with emerging technologies. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.

What You’ll Do:
  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies
  • As a lead developer, work with a team of developers who have deep experience in data movement, distributed computing, and full-stack systems
  • Utilize programming languages like Python, SQL, and Open Source RDBMS and NoSQL databases and cloud-based data warehousing services such as Snowflake and Databricks
  • Optimize information systems for end-users and downstream application consumers by using sound data design practices
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  • 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
Basic Qualifications:
  • Bachelor’s Degree
  • At least 4 years of experience in application development (Internship experience does not apply)
  • At least 2 years of experience in big data technologies
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications:
  • Master's Degree
  • 7+ years of experience in application development including Python, SQL, Spark, ETL tools, or AWS Glue
  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL)
  • 4+ year experience working on real-time data and streaming applications
  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • 4+ years of data warehousing experience (Redshift or Snowflake)
  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting
  • 4+ years of experience with data modeling for data warehousing
  • 2+ years of experience with Agile engineering practices
  • Experience leveraging interactive AI tooling (Claude Code, GitHub Copilot) to accelerate the software delivery

McLean, VA: $197,300 - $225,100 for Lead Data EngineerNew York, NY: $215,200 - $245,600 for Lead Data EngineerRichmond, VA: $179,400 - $204,700 for Lead Data Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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