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Lead 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 postingAnalyze current data ingestion and transformation pipelines built by the incumbent vendor
Review architecture documentation and source code in detail, using accelerators
Produce analysis results and complexity assessments for future planning
Collaborate with the discovery team on target-state solution design and estimation
From the employer’s posting
Analyze the current state of data ingestion and transformation pipelines implemented by the incumbent vendor
Review architecture documentation and source code in detail, utilizing accelerators to support efficient code analysis
Produce clear analysis results and complexity assessments that inform future planning decisions
Collaborate with the discovery team on solution design and effort estimation for the target state implementation
What you’ll bring
All qualificationsCore experience
- 5+ years of data integration experience
- At least 1 year leading and managing teams
- AWS Glue hands-on experience for integration workflows
- Snowflake, dbt and AWS/serverless stack experience
- Proficiency in Python and strong SQL
Qualification wording
A minimum of 5 years of relevant experience in Data Integration
At least one year of experience leading and managing teams
Hands-on experience with AWS Glue for building and managing data integration workflows
Experience with the AWS/Serverless stack, Snowflake, dbt, and related modern data stack technologies
Proficiency in Python for developing and maintaining data integration solutions
Tools in this posting
- Python
- SQL
- AWS
- dbt
- Snowflake
- Dagster
Source — Tool mentions in context
We are seeking a highly capable Lead Data Integration Engineer to join our team. This role offers the opportunity to work on complex, large-scale data systems that support critical business operations. You'll bring technical depth and leadership experience together to guide meaningful improvements across the data landscape. This is a great fit for someone who enjoys balancing hands-on technical analysis with strategic planning and team collaboration Responsibilities Analyze the current state of data ingestion and transformation pipelines implemented by the incumbent vendor to assess their structure and performance Review architecture documentation and source code in detail, utilizing accelerators to support efficient code analysis Produce clear analysis results and complexity assessments that inform future planning decisions Collaborate with the discovery team on solution design and effort estimation for the target state implementation Requirements A minimum of 5 years of relevant experience in Data Integration At least one year of experience leading and managing teams Good understanding of ETL/ELT processes, data warehousing, and cloud-native data integration techniques Experience with the AWS/Serverless stack, Snowflake, dbt, and related modern data stack technologies Hands-on experience with AWS Glue for building and managing data integration workflows Proficiency in Python for developing and maintaining data integration solutions Expertise in designing scalable data systems and cloud-native transformation processes Strong proficiency in SQL and scripting languages for data manipulation and automation Excellent problem-solving skills and fluent English communication at a B2 level or higher Nice to have Experience with Dagster for orchestrating and managing data pipeline workflows
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
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
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Has EPAM Systems posted this job before?
Yes. We’ve followed 8 other Lead Data Integration Engineer jobs there since November 2026. All 8 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 a highly capable Lead Data Integration Engineer to join our team. This role offers the opportunity to work on complex, large-scale data systems that support critical business operations. You'll bring technical depth and leadership experience together to guide meaningful improvements across the data landscape. This is a great fit for someone who enjoys balancing hands-on technical analysis with strategic planning and team collaboration Responsibilities Analyze the current state of data ingestion and transformation pipelines implemented by the incumbent vendor to assess their structure and performance Review architecture documentation and source code in detail, utilizing accelerators to support efficient code analysis Produce clear analysis results and complexity assessments that inform future planning decisions Collaborate with the discovery team on solution design and effort estimation for the target state implementation Requirements A minimum of 5 years of relevant experience in Data Integration At least one year of experience leading and managing teams Good understanding of ETL/ELT processes, data warehousing, and cloud-native data integration techniques Experience with the AWS/Serverless stack, Snowflake, dbt, and related modern data stack technologies Hands-on experience with AWS Glue for building and managing data integration workflows Proficiency in Python for developing and maintaining data integration solutions Expertise in designing scalable data systems and cloud-native transformation processes Strong proficiency in SQL and scripting languages for data manipulation and automation Excellent problem-solving skills and fluent English communication at a B2 level or higher Nice to have Experience with Dagster for orchestrating and managing data pipeline workflows
Source details
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