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Java Data Engineer Jobs in Minneapolis, MN (NOW HIRING)

* Full Stack Engineer supporting enterprise applications & data platforms * Focus: Migrate SSIS ETL ... Java * Data lake / large‑scale migration experience Candidate Expectations * 5+ years Software ...

Cloud Engineer II

Minneapolis, MN

$58.25 - $77.75/hr

Cloud Data Engineer II As the Cloud Data Engineer II , you will support the design and delivery of ... In this role, you'll build and optimize data pipelines using Python, Java, and GCP technologies ...

Cloud Engineer II

Richfield, MN · On-site

$93K - $166K/yr

Cloud Data Engineer II As the Cloud Data Engineer II , you will support the design and delivery of ... In this role, you'll build and optimize data pipelines using Python, Java, and GCP technologies ...

Cloud Engineer II

Richfield, MN

$57.75 - $77/hr

Cloud Data Engineer II As the Cloud Data Engineer II , you will support the design and delivery of ... In this role, you'll build and optimize data pipelines using Python, Java, and GCP technologies ...

Java Developer

Minneapolis, MN · On-site

$53.25 - $69/hr

Specialties Business Intelligence, Custom Application Development, Mobile Applications, Data Warehousing, Portals, E-Commerce Website Description Dunn Solutions Group is seeking Java Developers with ...

Java FSE Developer

Minneapolis, MN · On-site

$53.25 - $69/hr

Java 17+/Java 21 Spring Boot Spring MVC Spring Data JPA/Hibernate REST APIs Microservices OAuth 2.0 ... Support CI/CD automation and DevSecOps practices using Azure DevOps and Git-based workflows. Years ...

Analyze legacy source code, application behavior, data flows, and business rules across multiple ... Relevant Java, cloud, DevOps, or Claude Code and Claude Cowork enablement certification. * Exposure ...

New

Sr. Big Data Developer

Minneapolis, MN

$55.25 - $71.75/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. GC/CITIZEN can apply Qualifications: Experience in database development ...

Showing results 21-40

Java Data Engineer information

See Minneapolis, MN salary details

$27

$63

$89

How much do java data engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for java data engineer in Minneapolis, MN is $63.07, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $71.25 per hour, depending on experience, location, and employer.

What is a Java data engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What are the key skills and qualifications needed to thrive as a Java data engineer?

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.

What are the most common challenges faced by Java data engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

What are popular job titles related to Java Data Engineer jobs in Minneapolis, MN?

For Java Data Engineer jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Java Data Engineer jobs in Minneapolis, MN look for?

The top searched job categories for Java Data Engineer jobs in Minneapolis, MN are:

Infographic showing various Java Data Engineer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 38% Full Time, and 62% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $131,186 per year, or $63.1 per hour.

Sr Data Engineer - Finance Technology Platform (PySpark, Hadoop, Cloud)

Target

Minneapolis, MN • On-site

$98K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,990 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers


Job description

The pay range is $98,000.00 - $176,000.00

Pay is based on several factors which vary based on position.These include labor markets and in some instancesmay include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

JOIN TARGET AS A SR DATA ENGINEER - FINANCE AI PLATFORM

About Us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

Team Overview:
Finance Technology within Core Retail Services powers the financial backbone of Target's enterprise operations. We build and support platforms that enable critical business capabilities across Accounts Payable, Accounts Receivable, Vendor Income, Treasury, Financial Planning, Core Accounting, Revenue & Receivables, and Enterprise Financial Controls. Our financial reporting platform brings these data domains together to deliver near real-time insights, enabling accurate financial reporting and faster, data-driven decision-making. Join our global in-house technology team of more than 5,000 engineers, data scientists, architects, and product managers who are striving to make Target the most convenient, safe, and joyful place to shop. We use agile practices and leverage open-source technologies to build best-in-class solutions for our team members and guests, with a strong focus on diversity and inclusion, experimentation, and continuous learning.


Position Overview:
As a Senior Data Engineer, you will design, develop, and optimize scalable, high-performance data solutions that power critical financial systems across Target. You will contribute to the evolution of our data architecture, ensuring it meets both functional and non-functional business requirements while delivering reliability, efficiency, and scalability. Leveraging your expertise in big data technologies, distributed systems, and cloud platforms, you will build and optimize data pipelines, analytics solutions, and real-time data services. Working closely with engineers, product managers, and business stakeholders, you'll help deliver enterprise-scale data capabilities that support financial reporting and operational decision-making.


Key Responsibilities:

  • Design, build, and maintain scalable, high-performance data pipelines and distributed data processing solutions using Spark, Scala/Java, and cloud platforms (AWS, GCP, or Azure)
  • Develop and optimize batch and real-time data processing solutions to ensure reliable, high-quality data for analytical and operational use
  • Build APIs and data services that provide low-latency, high-throughput access to data for downstream applications
  • Design and optimize data models, ETL workflows, and processing frameworks to improve performance, scalability, and cost efficiency
  • Apply data governance, security, and compliance best practices throughout the data lifecycle
  • Collaborate with data scientists, product teams, and business stakeholders to understand requirements and deliver scalable data solutions
  • Contribute to the design, implementation, and continuous improvement of enterprise data platforms and services
  • Evaluate emerging technologies and help drive adoption of engineering best practices in big data, cloud computing, and API development
  • Mentor junior engineers through code reviews, technical guidance, and knowledge sharing while fostering a collaborative engineering culture.

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

About You:

  • 4-year degree in Quantitative disciplines (Science, Tech, Engineering, Mathematics) or equivalent industry experience required; MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred
  • 5 plus years of experience in data engineering, software development or distributed systems
  • Demonstrated expertise in big data technologies such as Hadoop, Spark, and distributed processing frameworks
  • Strong programming skills in PySpark, Scala, and/or Java
  • Experience with cloud platforms (AWS, GCP, or Azure) and associated data services (e.g. S3, BigQuery, Databricks, EMR, Snowflake)
  • Experience developing APIs using REST, GraphQL, or gRPC to support real-time and batch data access
  • Experience with streaming and real-time data technologies such as Kafka, Flink, or Kinesis
  • Strong understanding of data modeling, ETL pipeline design, and performance optimization
  • Familiarity with data governance, security, and compliance in enterprise-scale data environments
  • Strong analytical and problem-solving skills with the ability to work effectively in complex environments
  • Excellent communication and collaboration skills, with experience partnering across engineering, product, and business teams
  • Self-driven and results-oriented, with strong ownership, sound judgment and the ability to move quickly while maintaining high technical standards
  • Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable tech systems that create business value

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.


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About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US