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Big Data Developer Jobs in Minnesota (NOW HIRING)

Thrivent Financial

Staff Engineer

Minneapolis, MN · On-site +1

$173K/yr

Design, develop, and maintain data pipelines to handle large and complex data sets using Big Data ... Lead, mentor, and develop up and coming engineers. Engage in technology strategy and data ...

Thrivent

Staff Engineer

Minneapolis, MN · On-site

$173K/yr

Design, develop, and maintain data pipelines to handle large and complex data sets using Big Data ... Lead, mentor, and develop up and coming engineers. Engage in technology strategy and data ...

Thrivent Financial

Staff Engineer (e-ST)

Minneapolis, MN · On-site

$173K/yr

Remain current with industry trends and emerging technologies in Big Data and data engineering and ... evaluate their potential impact on our data infrastructure and systems. Lead, mentor, and develop ...

Sonsoft Inc

Bigdata/Kofax Developer

Minneapolis, MN · On-site

$55.25 - $71.75/hr

Company Description Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of ...

Avian-LL

Data Engineer

Virginia, MN · On-site

$110K - $132K/yr

... big data analytics, and all-source research and analysis. Our technical capabilities directly ... Demonstrated data analysis, parsing, and programming language experience (e.g. Python, Java ...

New

Ycotek

Senior Data & Analytics Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Mentor junior engineers and foster a culture of collaboration and technical excellence within the ... Experience with Hadoop, Spark, Kafka, or other big data technologies is a plus. * Strong ...

Horizontal Talent

Data Engineer

East Bethel, MN · Remote

$41 - $78/hr

We are seeking a Data Engineer to support data validation, reconciliation, and reporting for a ... Skills * 5+ years of hands-on SQL experience with big data platforms or databases such as Google ...

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How much do big data developer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for big data developer in Minnesota is $57.78, according to ZipRecruiter salary data. Most workers in this role earn between $49.90 and $64.76 per hour, depending on experience, location, and employer.

What is a big data developer?

A big data developer, sometimes called a big data engineer, creates technical tools and systems that allow an organization to integrate data analytics seamlessly into business solutions. As a big data developer, your primary duties include designing, coding, testing, and monitoring software and applications that are used to achieve your organization’s goals. Big data developers work in a variety of fields, including health care, finance, biotech, media, and advertising, as well as within various government departments. The job typically involves working as part of a large team of developers, data science specialists, and programmers.

What is a big data developer?

A Big Data Developer is a technology professional who designs, builds, and maintains systems and applications for processing and analyzing large volumes of data. They work with big data tools and frameworks like Hadoop, Spark, and NoSQL databases to manage data pipelines and ensure efficient data storage and retrieval. Their role often involves collaborating with data scientists and analysts to turn massive, complex data sets into actionable insights for organizations.

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

To thrive as a Big Data Developer, you need strong programming skills (such as Java, Scala, or Python), a deep understanding of data structures, and experience with distributed systems, often supported by a bachelor’s degree in computer science or a related field. Proficiency with big data tools and platforms like Hadoop, Spark, Hive, Kafka, and NoSQL databases, as well as familiarity with cloud services (AWS, Azure, or Google Cloud), is typically required. Analytical thinking, problem-solving abilities, and effective communication help developers collaborate with cross-functional teams and translate business needs into technical solutions. These skills are crucial for efficiently processing and analyzing large-scale data to drive informed decision-making and innovation.

What are some common challenges big data developers face when integrating new data sources into existing pipelines?

A common challenge for Big Data Developers is ensuring compatibility and data quality when integrating new data sources into established pipelines. This often involves handling different data formats, managing schema evolution, and addressing inconsistencies or missing data. Developers must also optimize for performance, as adding new sources can impact processing speed and resource utilization. Close collaboration with data engineers, analysts, and business stakeholders is essential to ensure that the integrated data supports organizational goals and maintains high reliability.

What is the difference between Big Data Developer vs Data Engineer?

AspectBig Data DeveloperData Engineer
Primary FocusDesigning and developing big data applications and solutionsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsHadoop, Spark, Java, Scala, SQLETL, cloud platforms, scripting, database management
Work EnvironmentData teams, software development projectsData infrastructure, cloud environments, data warehouses
Industry UsageTech, finance, healthcare, retailTech, finance, telecom, e-commerce

While both roles work with big data technologies, Big Data Developers focus on creating applications and solutions for processing large datasets, whereas Data Engineers build and maintain the data infrastructure that supports these applications. Understanding these distinctions helps in choosing the right career path or job search focus.

More about Big Data Developer jobs

What are popular job titles related to Big Data Developer jobs in MN?

For Big Data Developer jobs in MN, the most frequently searched job titles are:

Big Data Developer jobs near you
Infographic showing various Big Data Developer 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 $120,180 per year, or $57.8 per hour.

Staff Engineer

Minneapolis, MN • On-site, Remote

Thrivent Financial
Insurance Services • 5 - 10K employees
Learn more about Thrivent Financialexternal

$173K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Key responsibilities

  • Design, develop, and maintain data pipelines using Big Data technologies such as Hadoop, Spark, and Kafka.

  • Monitor, troubleshoot, and ensure the high availability and reliability of data pipelines.

  • Collaborate with cross-functional teams and end users to ensure data accessibility, and participate in code reviews to maintain high-quality standards.

Thrivent rating

8.8

Company rating: 8.8 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

Design, develop, and maintain data pipelines to handle large and complex data sets using Big Data technologies such as Hadoop, Spark, and Kafka. Ensure that data pipelines are scalable, reliable, and performant, and that they adhere to data governance, data security, and data quality best practices. Help develop sustainable data solutions with current and leading next generation data technologies to transform business capabilities. Collaborate with end users to ensure data availability and accessibility. Work with cross-functional teams to identify and implement process improvements for data pipelines and data workflows. Monitor and troubleshoot data pipeline issues to ensure high availability and reliability. Participate in code reviews and provide feedback to other team members to ensure that code is high quality and adheres to best practices. Remain current with industry trends and emerging technologies in Big Data and data engineering and evaluate their potential impact on our data infrastructure and systems. Lead, mentor, and develop up and coming engineers. Engage in technology strategy and data architecture across enterprise. The position is based out of and reports to Thrivent's HQ in Minneapolis, MN, but allows for the option to telecommute from a home office anywhere in the US.

Requirements:

- Minimum of a Bachelor's or foreign equivalent degree in Management Information Systems, Computer Science, or related field plus 6 years of progressively responsible post baccalaureate experience as a data engineer.

- At least 6 years of Data Engineering experience with Big Data Technologies: Apache Spark and Hadoop.

- At least 5 years of experience with the following:

  • Programming with Python, Java or Scala;
  • Designing and architecting big data solutions using Spark and Hadoop.

- At least 4 years of experience with the following:

  • Building data pipelines, CICD pipelines, and fit for purpose data stores;
  • BI development and reports;
  • Data Warehouse modelling with star schema; modelling data in big data eco system;
  • Developing and executing test cases.

At least 3 years of experience building data pipelines using Snowflake, Databricks and Kafka.

At least 2 years of experience with the following:

  • Streamsets and Bamboo;
  • Working with Informatica, IICS and DB2;
  • Cloud technologies: AWS, Azure, Google Cloud, OpenStack, Docker, Ansible, Chef, Lambdas, Microservices and Terraform.

Salary: at least $173,400/year


Other


Thrivent is unique in our commitment to helping people to be wise with money and live balanced and generous lives. That extends to our benefits.


The following benefits may be offered: various bonuses (including, for example, annual or long-term incentives); medical, dental, and vision insurance; health savings account; flexible spending account; 401k; pension; life and accidental death and dismemberment insurance; disability insurance; supplemental protection insurance; 20 days of Paid Time Off each year; Sick and Safe Time; 10 paid company holidays; Volunteer Time Off; paid parental leave; EAP; well-being benefits, and other employee benefits. Eligibility for receipt of these benefits is subject to the applicable plan/policy documents. Thrivent's plans/policies are subject to change at any time at Thrivent's discretion.


Thrivent provides Equal Employment Opportunity (EEO) without regard to race, religion, color, sex, gender identity, sexual orientation, pregnancy, national origin, age, disability, marital status, citizenship status, military or veteran status, genetic information, or any other status protected by applicable local, state, or federal law. This policy applies to all employees and job applicants.

Thrivent is committed to providing reasonable accommodation to individuals with disabilities. If you need a reasonable accommodation, please let us know by sending an email tohuman.resources@thrivent.comor call800-847-4836and request Human Resources.

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