Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
Senior Data 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 postingDesign and create data models in Azure Databricks
Build and maintain data pipelines in Azure Data Factory
Replace Excel-managed data with more robust pipeline solutions
Integrate multiple data assets for analytical dashboards
Ensure data quality and integrity throughout pipelines
From the employer’s posting
Design and create data models in Azure DataBricks
Build and maintain data pipelines in Azure Data Factory
Replace data currently managed in Excel files with more robust data pipeline solutions
Collaborate with team members to integrate multiple data assets for analytical dashboards
Ensure data quality and integrity throughout data pipelines
What you’ll bring
All qualificationsCore experience
- 3+ years of experience in data integration
- Proven experience with Azure, SQL and Databricks
- Strong background building and maintaining data pipelines
- Experience with sales analytics
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
Qualification wording
3+ years of relevant experience in Data Integration
Proven experience with Azure, SQL and Databricks
Strong background in developing and maintaining data pipelines
Experience with sales analytics
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Tools in this posting
- SQL
- Azure
- Databricks
Source — Tool mentions in context
We are seeking an experienced Senior Data Engineer to join our team in developing and maintaining data model and data pipeline solutions to support analytical dashboards that integrate multiple data assets. The ideal candidate will have strong experience with Azure, Databricks, and SQL. You will be working alongside a team of 2 Backend Developers, a Frontend Developer, and a Technical Product Owner. Responsibilities Design and create data models in Azure DataBricks Build and maintain data pipelines in Azure Data Factory Replace data currently managed in Excel files with more robust data pipeline solutions Collaborate with team members to integrate multiple data assets for analytical dashboards Ensure data quality and integrity throughout data pipelines Optimize data retrieval and data processing performance Implement data security and privacy policies Provide technical guidance and mentorship to junior engineers Troubleshoot and resolve any data-related issues Stay updated with industry trends and best practices in data engineering Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 3+ years of relevant experience in Data Integration Proven experience with Azure, SQL and Databricks Strong background in developing and maintaining data pipelines Experience with sales analytics Excellent problem-solving and analytical skills Fluent English communication skills at a B2+ level
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 recordYour next step
Check the employer’s posting for the current role and application details.
Already applied? Track this application
Has EPAM Systems posted this job before?
Yes. We’ve followed 24 other Senior Data 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.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
We are seeking an experienced Senior Data Engineer to join our team in developing and maintaining data model and data pipeline solutions to support analytical dashboards that integrate multiple data assets. The ideal candidate will have strong experience with Azure, Databricks, and SQL. You will be working alongside a team of 2 Backend Developers, a Frontend Developer, and a Technical Product Owner. Responsibilities Design and create data models in Azure DataBricks Build and maintain data pipelines in Azure Data Factory Replace data currently managed in Excel files with more robust data pipeline solutions Collaborate with team members to integrate multiple data assets for analytical dashboards Ensure data quality and integrity throughout data pipelines Optimize data retrieval and data processing performance Implement data security and privacy policies Provide technical guidance and mentorship to junior engineers Troubleshoot and resolve any data-related issues Stay updated with industry trends and best practices in data engineering Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 3+ years of relevant experience in Data Integration Proven experience with Azure, SQL and Databricks Strong background in developing and maintaining data pipelines Experience with sales analytics Excellent problem-solving and analytical skills Fluent English communication skills at a B2+ level
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Ukraine
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
AI answers unavailable
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting