Mid Data & Software Engineer

The job

LIVE Live feed (private-sector employer) Source: The Muse public API · Data: listed 2026-11-07

Job description

Company Description

Experian is a global data and technology company that powers opportunities for people and businesses around the world. We operate across a wide range of markets, including financial services, healthcare, automotive, agribusiness, insurance, among others. Experian invests in people and in advanced new technologies to unlock the power of data. We have an incredible team of 25,200 employees across 32 countries.

Our uniqueness is valuing yours. Experian's people-centric, inclusive, and purpose-driven culture has been recognized with several awards - including World's Best Workplaces™ 2025 (Fortune Global Top 25) and Great Place To Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers site to understand why. Experian is also proud to be an equal opportunity and affirmative action employer.

Description

We are looking for a Software Engineer to design, build, and evolve highly scalable and resilient data platform solutions that power Experian Marketing Services' core products. In this role, you will work on large-scale, cloud-native data pipelines, optimize distributed processing systems, and ensure the reliability and performance of petabyte-scale workloads. You will operate within agile value stream teams, applying strong engineering practices and collaborating with global stakeholders to deliver high-quality, business-critical data solutions.

Your key responsibilities

• Design, develop, and maintain large-scale data pipelines using Spark, and cloud-native technologies, ensuring high performance, scalability, and reliability.
• Solve complex data engineering challenges by designing efficient, resilient distributed systems and optimizing data processing workflows.
• Contribute to production-grade data platforms, delivering high-quality, tested code and supporting end-to-end feature development.
• Ensure software quality through clean, testable, and well-documented code, code reviews, and adherence to engineering standards.
• Collaborate within agile value stream teams, working closely with engineers, product owners, and cross-functional stakeholders to deliver aligned technical solutions.
• Provide technical guidance to peers, contributing to architecture discussions, code reviews, and promoting best engineering practices.
• Support release and operational processes, including deployments, monitoring, alerting, and continuous improvement of system reliability.
• Drive improvements in performance, cost efficiency, and scalability of data processing workloads.

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Solid experience in software or data engineering.
• Experience designing and operating highly parallelized data workloads.
• Proficiency with Git-based version control systems (GitHub, Bitbucket, etc.).
• Familiarity with agile methodologies and collaborative development in multi-team environments.
• Strong communication skills, with the ability to contribute in technical discussions and support peer development.
• Advanced English proficiency and availability to travel to São Carlos/SP when needed.

• Hands-on experience with cloud-native data platforms (AWS, GCP, or Azure), including services such as S3, Glue, Athena, or equivalent.
• Expertise in building and optimizing large-scale data pipelines using Scala and Apache Spark.
• Experience with functional programming (Scala) or languages such as Java, Python, or Rust.
• Familiarity with modern data platform architectures and large-scale data ecosystems.

Explore around this job

Field: Technology Sub-niche: Software engineering All jobs at Experian

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About the role

This is a Mid Level role in the Technology field (Software engineering) at Experian. Mid-level roles usually expect some years of relevant experience and the ability to work with limited supervision.

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How to prepare and behave

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• Read the whole description and match your examples to its requirements; use the same words the posting uses where they are true for you.
• Research the employer before the interview: what it does, who its customers are and recent news; prepare two or three questions about the work.
• Arrive early (or log in early for a video call), dress one step above the daily dress code, and test your camera and audio beforehand.
• Answer with short stories: the situation, what you did and the result. Give numbers when you have them and never invent them.
• Be honest about gaps; say what you did to learn and how fast you can close them.
• Ask about the team, the first 90 days, how success is measured and the schedule; do not open with salary and time off.
• When pay comes up, know the market range for the occupation and your lowest acceptable offer before you answer; ask for the full package in writing.
• Send a short thank-you message within a day, mentioning one thing you discussed.
• The listing mentions a remote or flexible location. Confirm with the employer whether remote work applies to your state: taxes, licensing and benefits can depend on where you live.
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The employer

Experian is the employer in this listing. See all its open jobs here →

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What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

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FAQ

What is the Mid Data & Software Engineer job at Experian?

A mid level role in technology (software engineering) listed yesterday. The full description is on this page and on The Muse.

Where is this job?

Remote / flexible (United States). A remote or flexible location is listed; confirm with the employer which states are accepted.

How do I apply?

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How much does it pay?

The listing does not publish pay, and we could not match the title to one official occupation.

What is the cost of living there?

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How old is this listing?

It was posted on 2026-11-07 (yesterday). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse software engineering jobs in the United States.

Sources and terms

• Job data: The Muse public API (listing dated 2026-11-07). The job disappears from this site when it disappears from the source.
• Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
• City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

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Sources

• BLS OEWS (wages and employment by occupation, May 2025)
• BLS Employment Projections 2025–35
• BLS Local Area Unemployment Statistics
• BLS JOLTS
• BLS State and Metro Area Employment
• Census Bureau American Community Survey (via Census Reporter)
• BEA GDP by state and Regional Price Parities
• IRS 2026 tax adjustments
• U.S. Department of Labor, minimum wage by state
• Tax Foundation state income tax rates 2026
• USAJOBS
• USCIS
• U.S. Department of State, visas
• NASA POWER climatology
• GeoNames / Census Gazetteer (coordinates)