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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 postingGuide design and ongoing evolution of data integration solutions
Mentor and support team members on data engineering best practices
Coordinate with business stakeholders to turn requirements into technical solutions
Oversee stability and reliability of data pipelines, addressing issues proactively
Contribute to planning and prioritization of technical delivery
From the employer’s posting
Guide the design and ongoing evolution of data integration solutions that support evolving business needs
Mentor and support team members, fostering best practices and consistent quality across data engineering work
Coordinate closely with business stakeholders to translate requirements into effective technical solutions
Oversee the stability and reliability of data pipelines, addressing issues proactively before they impact downstream processes
Contribute to planning and prioritization efforts, helping align technical delivery with broader project timelines and goals
What you’ll bring
All qualificationsCore experience
- 5+ years of relevant data warehouse project experience
- At least 1 year leading and managing teams
- Experience building and maintaining data pipelines in Azure Data Factory
- Experience with Power BI, Azure Analysis Services and Tabular Models
- Hands-on ETL experience with Azure Data Factory and Azure Synapse
Qualification wording
A minimum of 5 years of relevant experience in Data Warehouse projects
At least one year of experience leading and managing teams
Experience architecting, building, and maintaining data pipelines using Azure Data Factory
Experience with front-end tools such as Power BI, Azure Analysis Services (AAS), and Tabular Models
Hands-on experience with ETL tools such as Azure Data Factory and Azure Synapse
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
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.
- SQL
- Azure
- dbt
- Oracle
- Power BI
- Snowflake
- SQL Server
Where the posting names them
We are seeking a highly capable Lead Data Integration Engineer to join our team. This role is central to ensuring data flows reliably across systems to support informed business decisions. You'll work in a collaborative setting where technical leadership and hands-on problem-solving go hand in hand. This is an excellent opportunity for someone looking to make a meaningful impact on how data drives organizational success Responsibilities Guide the design and ongoing evolution of data integration solutions that support evolving business needs Mentor and support team members, fostering best practices and consistent quality across data engineering work Coordinate closely with business stakeholders to translate requirements into effective technical solutions Oversee the stability and reliability of data pipelines, addressing issues proactively before they impact downstream processes Contribute to planning and prioritization efforts, helping align technical delivery with broader project timelines and goals Requirements A minimum of 5 years of relevant experience in Data Warehouse projects At least one year of experience leading and managing teams Experience architecting, building, and maintaining data pipelines using Azure Data Factory Background integrating and delivering data solutions for business intelligence using Power BI Proven ability to continuously improve pipeline and transformation code for better performance, scalability, and maintainability Ability to understand business requirements related to data projects and translate them into technical solutions Experience with front-end tools such as Power BI, Azure Analysis Services (AAS), and Tabular Models Familiarity with management tools and methodologies, including JIRA, Agile methodology, and ServiceNow Hands-on experience with ETL tools such as Azure Data Factory and Azure Synapse Proficiency in query languages, including MS SQL Server and Oracle PL/SQL Fluent English communication skills at a B2 level or higher Nice to have Experience with Azure Synapse Analytics for data warehousing and analytics workloads Familiarity with Salesforce Informatica, Snowflake, and dbt for data integration and transformation purposes
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 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 is central to ensuring data flows reliably across systems to support informed business decisions. You'll work in a collaborative setting where technical leadership and hands-on problem-solving go hand in hand. This is an excellent opportunity for someone looking to make a meaningful impact on how data drives organizational success Responsibilities Guide the design and ongoing evolution of data integration solutions that support evolving business needs Mentor and support team members, fostering best practices and consistent quality across data engineering work Coordinate closely with business stakeholders to translate requirements into effective technical solutions Oversee the stability and reliability of data pipelines, addressing issues proactively before they impact downstream processes Contribute to planning and prioritization efforts, helping align technical delivery with broader project timelines and goals Requirements A minimum of 5 years of relevant experience in Data Warehouse projects At least one year of experience leading and managing teams Experience architecting, building, and maintaining data pipelines using Azure Data Factory Background integrating and delivering data solutions for business intelligence using Power BI Proven ability to continuously improve pipeline and transformation code for better performance, scalability, and maintainability Ability to understand business requirements related to data projects and translate them into technical solutions Experience with front-end tools such as Power BI, Azure Analysis Services (AAS), and Tabular Models Familiarity with management tools and methodologies, including JIRA, Agile methodology, and ServiceNow Hands-on experience with ETL tools such as Azure Data Factory and Azure Synapse Proficiency in query languages, including MS SQL Server and Oracle PL/SQL Fluent English communication skills at a B2 level or higher Nice to have Experience with Azure Synapse Analytics for data warehousing and analytics workloads Familiarity with Salesforce Informatica, Snowflake, and dbt for data integration and transformation purposes
Source details
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