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 Integration 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 postingConfigure data sources and targets for reliable, accurate data movement between systems
Define software architecture and choose technology components for integration projects
Write and optimize SQL views, stored procedures and functions
Build Python ETL processes and unit tests
Integrate financial data into Simcorp Dimension for reporting and operations
From the employer’s posting
Configure data sources and targets to ensure reliable and accurate data movement between systems
Define software architecture and select technology components for data integration projects
Write and optimize SQL code, including views, stored procedures and functions
Apply Python with Pandas and NumPy for ETL processes and conduct unit tests to verify code reliability
Integrate financial data into investment management systems like Simcorp Dimension for precise reporting and operations
What you’ll bring
All qualificationsCore experience
- Minimum 3 years as a Data Engineer
- Bachelor's degree in a technical field or equivalent experience
- Expertise in SQL for database development
- Proficiency in AWS and Python for ETL and data pipelines
- Experience with Power BI or Tableau and CI/CD tools (BitBucket, GitHub, Bamboo)
Qualification wording
Minimum 3 years as a Data Engineer
Bachelor’s degree in a technical field or equivalent experience
Expertise in SQL for database development
Proficiency in AWS and Python for ETL and data pipeline creation
Experience with Power BI or Tableau for business intelligence
Tools in this posting
- Python
- SQL
- AWS
- Power BI
- S3
- Snowflake
- Tableau
- NumPy
- pandas
Source — Tool mentions in context
We are searching for a Senior Data Integration Engineer with advanced skills and strong motivation to deliver technology solutions that enhance investment operations, including trade processing, accounting, reconciliation, reporting and automated batch scheduling. This position emphasizes close teamwork across departments and focuses on connecting financial data with platforms such as Simcorp Dimension to maximize operational performance and business outcomes. Responsibilities Work with Product Owner, Scrum Master, subject matter experts and developers to clarify and refine user stories in Jira Define software architecture and select technology components for data integration projects Configure data sources and targets to ensure reliable and accurate data movement between systems Showcase completed solutions during sprint reviews and explain their business impact Set up and manage CI/CD pipelines using BitBucket, GitHub and Bamboo for automated deployments Write and optimize SQL code, including views, stored procedures and functions, to support database operations Apply Python with Pandas and NumPy for ETL processes and conduct unit tests to verify code reliability Develop business intelligence dashboards and reports using Power BI or Tableau to support decision-making Apply Data Warehousing concepts such as Dimensional Modeling (Kimball) and data extraction utilities Integrate financial data into investment management systems like Simcorp Dimension for precise reporting and operations Contribute to Agile scrum activities to deliver software increments that address business requirements Requirements Bachelor’s degree in a technical field or equivalent experience Minimum 3 years as a Data Engineer Expertise in SQL for database development Proficiency in AWS and Python for ETL and data pipeline creation Experience with Power BI or Tableau for business intelligence BitBucket, GitHub and Bamboo for CI/CD Familiarity with Data Warehousing and Dimensional Modeling (Kimball) Background in financial or investment data integration Understanding of Agile methodologies and team practices Nice to have Background in financial systems, such as investment accounting or general ledger platforms Expertise in integrating large-scale investment or ERP systems, including SimCorp Dimension or similar solutions Knowledge of AWS services like S3, Glue, Athena and Lambda, as well as Snowflake, Snaplogic and orchestration tools Experience with Agile data project delivery, including story estimation and collaboration in scaled Agile environments
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 23 other Senior Data Integration Engineer jobs there since November 2026. All 23 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 searching for a Senior Data Integration Engineer with advanced skills and strong motivation to deliver technology solutions that enhance investment operations, including trade processing, accounting, reconciliation, reporting and automated batch scheduling. This position emphasizes close teamwork across departments and focuses on connecting financial data with platforms such as Simcorp Dimension to maximize operational performance and business outcomes. Responsibilities Work with Product Owner, Scrum Master, subject matter experts and developers to clarify and refine user stories in Jira Define software architecture and select technology components for data integration projects Configure data sources and targets to ensure reliable and accurate data movement between systems Showcase completed solutions during sprint reviews and explain their business impact Set up and manage CI/CD pipelines using BitBucket, GitHub and Bamboo for automated deployments Write and optimize SQL code, including views, stored procedures and functions, to support database operations Apply Python with Pandas and NumPy for ETL processes and conduct unit tests to verify code reliability Develop business intelligence dashboards and reports using Power BI or Tableau to support decision-making Apply Data Warehousing concepts such as Dimensional Modeling (Kimball) and data extraction utilities Integrate financial data into investment management systems like Simcorp Dimension for precise reporting and operations Contribute to Agile scrum activities to deliver software increments that address business requirements Requirements Bachelor’s degree in a technical field or equivalent experience Minimum 3 years as a Data Engineer Expertise in SQL for database development Proficiency in AWS and Python for ETL and data pipeline creation Experience with Power BI or Tableau for business intelligence BitBucket, GitHub and Bamboo for CI/CD Familiarity with Data Warehousing and Dimensional Modeling (Kimball) Background in financial or investment data integration Understanding of Agile methodologies and team practices Nice to have Background in financial systems, such as investment accounting or general ledger platforms Expertise in integrating large-scale investment or ERP systems, including SimCorp Dimension or similar solutions Knowledge of AWS services like S3, Glue, Athena and Lambda, as well as Snowflake, Snaplogic and orchestration tools Experience with Agile data project delivery, including story estimation and collaboration in scaled Agile environments
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
Location not supplied.
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