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.
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.
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 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.
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 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
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