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Lead 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 schemas and pipelines for data insertion
Define data transformations for the analytics structure
Enforce an efficient structure for data insertion
Build a system focused on optimized data processing
From the employer’s posting
Design schemas and pipelines
defining transformations
Enforce an efficient structure for data insertion
Build a system focused on optimized data processing
What you’ll bring
All qualificationsCore experience
- Proficiency in SQL and Snowflake
- Background in Star or Snowflake schema design
- Skills in data warehousing, analytics, and data modeling
- Experience cleaning, transforming, and preparing data for analysis
Preferred experience
- Familiarity with a Business Intelligence tool (Domo preferred)
- Background in MongoDB
Qualification wording
Proficiency in SQL and Snowflake
Background in Star or Snowflake schema design
Skills in data warehousing, analytics, and data modeling
Experience in cleaning, transforming, and preparing data for analysis
Familiarity with a Business Intelligence tool (Domo preferred)
Background in MongoDB
Tools in this posting
- SQL
- MongoDB
- Snowflake
Source — Tool mentions in context
We are seeking a talented Lead Data Engineer to join our team in the automotive sector. This role involves working with innovative recon software that simplifies documentation, optimizes processes, and delivers instant insights into business operations. Our goal is to provide the most dynamic and user-friendly technology solutions for automotive reconditioning businesses. In this dual role, you will take on the responsibilities of both an architect and an engineer. As an Architect, you will play a crucial role in designing schemas and pipelines, defining transformations, and orchestrating efficient data insertion into an analytics-focused relational structure. As an Engineer, you will execute these designs, crafting a robust and efficient system, and utilizing your development expertise to enhance data processing capabilities. Our current data originates from a MongoDB dump stored in Snowflake, and familiarity with these technologies will be advantageous. This role presents a fantastic opportunity for individuals who excel in both engineering and architectural disciplines and are eager to make a significant impact on our client's business operations. Responsibilities Design schemas and pipelines Enforce an efficient structure for data insertion Build a system focused on optimized data processing Requirements Proficiency in SQL and Snowflake Background in Star or Snowflake schema design Skills in data warehousing, analytics, and data modeling Experience in cleaning, transforming, and preparing data for analysis Nice to have Familiarity with a Business Intelligence tool (Domo preferred) Background in MongoDB
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.
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Has EPAM Systems posted this job before?
Yes. We’ve followed 10 other Lead Data Engineer jobs there since November 2026. All 10 are still up.
Large employers often post one title for several teams, so these can be separate openings.
Job description
We are seeking a talented Lead Data Engineer to join our team in the automotive sector. This role involves working with innovative recon software that simplifies documentation, optimizes processes, and delivers instant insights into business operations. Our goal is to provide the most dynamic and user-friendly technology solutions for automotive reconditioning businesses. In this dual role, you will take on the responsibilities of both an architect and an engineer. As an Architect, you will play a crucial role in designing schemas and pipelines, defining transformations, and orchestrating efficient data insertion into an analytics-focused relational structure. As an Engineer, you will execute these designs, crafting a robust and efficient system, and utilizing your development expertise to enhance data processing capabilities. Our current data originates from a MongoDB dump stored in Snowflake, and familiarity with these technologies will be advantageous. This role presents a fantastic opportunity for individuals who excel in both engineering and architectural disciplines and are eager to make a significant impact on our client's business operations. Responsibilities Design schemas and pipelines Enforce an efficient structure for data insertion Build a system focused on optimized data processing Requirements Proficiency in SQL and Snowflake Background in Star or Snowflake schema design Skills in data warehousing, analytics, and data modeling Experience in cleaning, transforming, and preparing data for analysis Nice to have Familiarity with a Business Intelligence tool (Domo preferred) Background in MongoDB
Source details
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- Pay
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- Location & working pattern
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- Work authorization
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