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Big Data Developer Jobs in Minnesota (NOW HIRING)

Pwc

Data Strategy-Manager

Minneapolis, MN

$99K - $232K/yr

... with big data engineering tools - Proficiency in SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel ...

UnitedHealth Group

Data Engineer with AI/ML

Minnetonka, MN · On-site +1

$72K - $130K/yr

Bachelor's degree in CS or IT related field * 5 years of hands-on experience in data engineering and backend automation * 5 years of experience in Python, PySpark (Databricks), T-SQL, SQL, and big ...

UnitedHealth Group

Data Engineer with AI/ML

Minnetonka, MN · On-site

$72K - $130K/yr

Bachelor's degree in CS or IT related field * 5+ years of hands-on experience in data engineering and backend automation * 5+ years of experience in Python, PySpark (Databricks), T-SQL, SQL, and big ...

Ovative Group

Data & Software Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

... DevOps best practices, maintaining high standards of quality and security across all phases of ... big data tools (e.g., BigQuery, Databricks) • Experience working with APIs for data retrieval • ...

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How much do big data developer jobs pay per hour?

As of Jul 30, 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.

Is big data a good career?

Big Data Developers are in high demand due to the growth of data-driven decision making across industries. The role typically requires skills in programming, data management, and tools like Hadoop or Spark, and offers competitive salaries and opportunities for advancement. It is considered a promising career path for those interested in technology and data analysis.

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 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 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.

Can I make 200K as a data engineer?

Big Data Developers and data engineers can earn $200,000 or more annually, especially with extensive experience, advanced skills in tools like Spark and Hadoop, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

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.

Will AI replace big data?

Big Data Developers work with large datasets, data processing tools, and analytics platforms. AI can automate some data analysis tasks, but it complements rather than replaces the need for skilled professionals to design, manage, and interpret complex data systems.

What do big data developers do?

Big Data Developers design, build, and maintain large-scale data processing systems using tools like Hadoop, Spark, and Kafka. They write code to extract, transform, and load data, ensuring data quality and performance for analytics and business insights.
More about Big Data Developer jobs
What are popular job titles related to Big Data Developer jobs in Minnesota? For Big Data Developer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Big Data Developer jobs in Minnesota look for? The top searched job categories for Big Data Developer jobs in Minnesota are:
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 July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $120,180 per year, or $57.8 per hour.

Dev/QA developer

Cognizant Technologies

Minnetonka, MN

Contractor

Re-posted 25 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 73 rated business consultants

Job description

Company Description

Cognizant Technologies delivers value added turn-key solutions to our clients which accelerate their organization's growth. Whether it's entering new markets, introducing innovative new products, or initiating transformation process changes, Cognizant Technologies will provide consistent services to their clients.

Job Description

  Duration:6 Months
NEED!!USC/GC strongly preferred

Qualifications

Responsibilities:
Performing all phases of software engineering including requirements analysis, application design, and code development and testing.
Designing and implementing product features in collaboration with business and IT stakeholders.
Designing reusable Java components, frameworks and libraries.
Working closely with the Architecture group and driving solutions.
Implementing the data management framework for the Data Lake.
Supporting the implementation and driving to stable state in production.
Providing alternative design solutions and project estimates.
Reviewing code and providing feedback relative to best practices, performance improvements etc.
Troubleshooting production support issues post-deployment and come up with solutions as required.
Demonstrating substantial depth of knowledge and experience in a specific area of Big Data and Java development.
Requirements:
8+ consecutive years in the software engineering profession.
3+ years hands-on expertise with UNIX shell scripts and commands
3+ years hands on expertise with SQL writing queries and RDBMS
2+ years hands on expertise with Big data technologies (HBASE, HIVE, SQOOP, PIG,)
2+ Agile/Scrum methodology
Bachelor's degree or equivalent experience in a related field
Preferred Requirements:
Rally
Splunk, and Talend
Demonstrated expertise in Java programming and frameworks

Additional Information

Cognizant Technologies 
Opus Pl, Suite 110, Downers Grove, IL -  60515
Direct: (630)-444-7055

Email: bakshi@cognizantechnologies .com

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