or apply directly on Shyftlabs's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 13 days Shyftlabs's roles stay open a median of 44 days
- Reposted
- No
- Salary listed
- No 0% of Shyftlabs's roles list one
- Ghost-job risk at Shyftlabs
- low 0 stale, 0 reposted of 26 open
- Hiring momentum
- 40 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Shyftlabs's own lever board since 2026-08-04. Full hiring picture for Shyftlabs.
About this role
The Lead Data Engineer will be responsible for building scalable data pipelines and engineering solutions using the Databricks Lakehouse Platform. This role involves working with technologies such as Python, PySpark, SQL, and AWS, focusing on data ingestion, management, and export for large datasets.
- benefits
- 2/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Shyftlabs as an employer.
What you need
- hands-on experience in building scalable data pipelines
- expertise in Python
- expertise in PySpark
- expertise in SQL
- expertise in Databricks
- expertise in AWS
What you get
- competitive salary
- strong insurance package
- extensive learning and development resources
Worth weighing
- no specific salary listed
- focus on working with Fortune 500 companies may imply high expectations
- role involves managing large volumes of data which can be challenging
Summarised from Shyftlabs's posting. Read the full original.
Listed by Shyftlabs on their lever job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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