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Senior Data Software Engineer
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingDevelop and maintain data pipelines for efficient data processing and analysis
Translate business requirements into technical solutions with cross-functional teams
Work with data scientists to make models production-ready
Troubleshoot and resolve data-related issues promptly and efficiently
Create and maintain technical documentation for data engineering projects
From the employer’s posting
Develop and maintain data pipelines for efficient data processing and analysis
Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions
Work with data scientists to ensure models are production-ready
Troubleshoot and resolve data-related issues promptly and efficiently
Create and maintain technical documentation for all data engineering projects
What you’ll bring
All qualificationsCore experience
- 3+ years of experience in data software engineering
- Expertise in Apache Spark and Python, Java or Scala
- Background in building and maintaining data pipelines
- Proficiency in SQL and relational tables
- Hands-on experience with a major cloud provider (Azure, AWS or GCP)
Qualification wording
3+ years of experience in Data Software Engineering
Expertise in Apache Spark, Python/Java/Scala
Background in developing and maintaining data pipelines
Proficiency in SQL and relational tables
Hands-on experience with any major cloud provider: Azure, AWS or GCP
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 20262 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
656 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- Scala
- SQL
- AWS
- Azure
- Databricks
- GCP
- Kafka
- NoSQL
- Spark
Where the posting names them
We are looking for an experienced Senior Data Software Engineer with a deep understanding of Apache Spark, Python/Java/Scala and proficiency with any cloud providers. In this role, you will develop and maintain data pipelines, working closely with cross-functional teams. If you are passionate about using your data engineering skills to make a significant impact and excel in a collaborative, growth-oriented environment, we encourage you to apply and join us. Responsibilities Develop and maintain data pipelines for efficient data processing and analysis Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions Create and maintain technical documentation for all data engineering projects Work with data scientists to ensure models are production-ready Ensure all data engineering solutions are high-quality, reliable and scalable Troubleshoot and resolve data-related issues promptly and efficiently Stay up-to-date with emerging data engineering technologies and trends Participate in code reviews to ensure code quality and adherence to standards Requirements 3+ years of experience in Data Software Engineering Expertise in Apache Spark, Python/Java/Scala Background in developing and maintaining data pipelines Proficiency in SQL and relational tables Understanding of SDLC, quality gates and Agile methodologies B2+ English level, both verbal and written Hands-on experience with any major cloud provider: Azure, AWS or GCP Nice to have Competency in statistical models and their practical applications Familiarity with Databricks and MLOps for efficient model deployment and management Hands-on experience with streaming processing technologies like Kafka, Spark Streaming and Flume Practical or theoretical knowledge of NoSQL databases
Your next step
Complete your application on careers.epam.com. The employer’s form will show what is required.
Already applied? Track this application
Has EPAM Systems posted this job before?
Yes. We’ve followed 24 other Senior Data Software Engineer jobs there since November 2026. All 24 are still up.
Large employers often post one title for several teams, so these can be separate openings.
Job description
We are looking for an experienced Senior Data Software Engineer with a deep understanding of Apache Spark, Python/Java/Scala and proficiency with any cloud providers. In this role, you will develop and maintain data pipelines, working closely with cross-functional teams. If you are passionate about using your data engineering skills to make a significant impact and excel in a collaborative, growth-oriented environment, we encourage you to apply and join us. Responsibilities Develop and maintain data pipelines for efficient data processing and analysis Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions Create and maintain technical documentation for all data engineering projects Work with data scientists to ensure models are production-ready Ensure all data engineering solutions are high-quality, reliable and scalable Troubleshoot and resolve data-related issues promptly and efficiently Stay up-to-date with emerging data engineering technologies and trends Participate in code reviews to ensure code quality and adherence to standards Requirements 3+ years of experience in Data Software Engineering Expertise in Apache Spark, Python/Java/Scala Background in developing and maintaining data pipelines Proficiency in SQL and relational tables Understanding of SDLC, quality gates and Agile methodologies B2+ English level, both verbal and written Hands-on experience with any major cloud provider: Azure, AWS or GCP Nice to have Competency in statistical models and their practical applications Familiarity with Databricks and MLOps for efficient model deployment and management Hands-on experience with streaming processing technologies like Kafka, Spark Streaming and Flume Practical or theoretical knowledge of NoSQL databases
Source details
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