Big Data Developer Jobs
Big Data Developer jobs are open across technology, finance, healthcare, and retail, from entry-level to staff and principal engineer, with specializations in distributed systems, data pipeline engineering, and real-time streaming. Find a role that fits below and apply directly.
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- 10/30/2026
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Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax is seeking creative, high-energy and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology.
What you’ll do
Perform general application development activities, including unit testing, code deployment to development environment and technical documentation. Works on one or more projects, making contributions to unfamiliar code written by team members.
Participates in estimation process, use case specifications, reviews of test plans and test cases, requirements, and project planning. Diagnose and resolve performance issues.
Documents code/processes so that any other developer is able to dive in with minimal effort.
Develop, and operate high scale applications from the backend to UI layer, focusing on operational excellence, security and scalability.
Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.). Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset.
Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit engineering team employing agile software development practices.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality.
Able to write, debug, and troubleshoot code in mainstream open source technologies. Lead effort for Sprint deliverables, and solve problems with medium complexity
What experience you need
Bachelor's degree or equivalent experience
2+ years experience working with software design and Java, Python and Javascript programming languages
2+ years experience with software build management tools like Maven or Gradle
2+ years experience with HTML, CSS and frontend/web development
2+ years experience with software testing, performance, and quality engineering techniques and strategies
2+ years experience with Cloud technology: GCP, AWS, or Azure
What could set you apart
Self-starter that identifies/responds to priority shifts with minimal supervision
UI development (e.g. HTML, JavaScript, Angular and Bootstrap)
Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices
Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle.
Agile environments (e.g. Scrum, XP)
Relational databases (e.g. SQL Server, MySQL)
Atlassian tooling (e.g. JIRA, Confluence, and Github)
Developing with modern JDK (v1.7+)
Automated Testing: JUnit, Selenium, LoadRunner, SoapUI
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Who is Equifax?
At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.
We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.
Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
Big Data Developer Jobs by Experience Level
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Find Big Data Developer JobsBig Data Developer Job Market
Who's Hiring



Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in big data developer jobs.
- Proficiency in Apache Spark or Hadoop for large-scale distributed data processing
- Experience building and maintaining data pipelines using Python, Scala, or Java
- Hands-on knowledge of cloud data platforms such as AWS, Azure, or Google Cloud
- Familiarity with streaming frameworks like Apache Kafka or Apache Flink
- Bachelor's degree in computer science, data engineering, or a related technical field
- Experience with SQL and NoSQL databases including Hive, Cassandra, or HBase
Tips for Your Big Data Developer Job Search
Tailor your resume to the stack
Big data job listings are specific about tooling. Mirror the exact technologies named in each posting, whether that's Spark, Kafka, Flink, or Hive, so your resume clears automated screening before a human ever reads it.
Show data volume and throughput
Generic project descriptions don't land. Quantify the scale you've worked with: terabytes processed daily, pipelines handling millions of events per second, or latency improvements you delivered. Hiring managers in this space read those numbers immediately.
Apply early to roles that fit
Migrate Mate lists big data developer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by cloud platform
Many teams are deep in one cloud ecosystem. If you're strongest on AWS, search for roles that name EMR, Glue, or Redshift. Matching your cloud depth to the employer's stack dramatically increases your odds of moving past the resume screen.
Prep for system design at scale
Big data interviews almost always include a distributed system design round. Practice designing fault-tolerant pipelines, explaining partitioning strategies, and walking through exactly-once semantics in streaming systems before you get on a technical call.
Negotiate on scope, not just base pay
When you receive an offer, ask about data ownership on the team, pipeline complexity, and whether the role involves greenfield builds versus maintaining legacy infrastructure. These details define your day-to-day far more than the job title.
Big Data Developer Jobs: Frequently Asked Questions
Which companies are hiring the most big data developers?
The most active employers for big data developers right now are Testingxperts, Equifax, and Collabera, and the most openings are in Texas, Minnesota, and Arizona, based on current listings on Migrate Mate as of November 2026. Financial services, healthcare technology, and cloud infrastructure firms tend to post the highest volumes of these roles.
How many big data developer jobs are remote?
About 0% of big data developer openings are fully remote or hybrid as of November 2026, reflecting strong demand for distributed engineering teams. Data pipeline and streaming engineering roles tend to have the highest remote availability, while positions requiring on-site cluster management or regulated data environments are more likely to require in-person presence.
How do you become a big data developer?
Start by building a foundation in a language like Python or Scala, then work through hands-on projects using Apache Spark and Hadoop on a cloud platform. Learn pipeline orchestration tools such as Apache Airflow, practice designing fault-tolerant distributed systems, and build a portfolio of end-to-end projects that demonstrate you can move data at scale reliably.
Can you get hired as a big data developer with little experience?
Yes, entry-level big data developer roles exist, but they require demonstrable hands-on work. Build pipelines using public datasets, contribute to open-source data tooling projects, and document your work in a public repository. Employers hiring junior candidates look for proof that you can operate distributed systems independently, not just describe them in theory.
What does the big data developer interview process look like?
Most processes include a recruiter screen, a technical phone round covering data structures and distributed computing concepts, and a system design interview where you walk through building a scalable pipeline. Final rounds often include a take-home coding exercise involving Spark or a streaming framework, followed by a panel discussion with engineers and a hiring manager.
Where can I find and apply to big data developer jobs?
You can find and apply to big data developer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your stack and experience level, then apply directly to each one that fits.
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