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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Overview

Open roles5
Top stateTexas
Top employerTestingxperts
Top cityIrving, TX
Work type100% On-site
Top industryTechnology

Showing 5 of 5+ Big Data Developer jobs

Big Data / SMAC Technology Developer
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Added 1w ago
Big Data / SMAC Technology Developer
Equifax
Alpharetta, Georgia
Cloud Engineering
DevOps
Solutions Engineering & Architecture
Bachelor's degree
10,000+

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Onsite_Looker & Google Big Query Developer_Irving, TX
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Added 2w ago
Onsite_Looker & Google Big Query Developer_Irving, TX
THEMESOFT
Irving, Texas
Backend Engineering
Full-stack Engineering
Software Engineering
On-Site
11-50

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Big Data Developer
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Added 7mo ago
Big Data Developer
Collabera
Phoenix, Arizona
Software Engineering
Data Engineering
On-Site
Associate's

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Big Data Developer (Spark)
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Added 7mo ago
Big Data Developer (Spark)
Testingxperts Inc.
Cupertino, California
Software Engineering
Data Engineering
On-Site
Bachelor's

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Big Data/Scala Developer
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Added 7mo ago
Big Data/Scala Developer
Testingxperts Inc.
Eagan, Minnesota
Software Engineering
Data Science & Analytics
Data Engineering
Data Science
On-Site
Bachelor's

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Big Data Developer Job Market

Who's Hiring

Testingxperts2 open roles
Equifax1 open role
Collabera1 open role

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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