or apply directly on Prodigal's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 14 days Prodigal's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 8% of Prodigal's roles list one
- Ghost-job risk at Prodigal
- high 8 stale, 0 reposted of 13 open
- Hiring momentum
- 15 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 Prodigal's own greenhouse board since 2026-08-03. Full hiring picture for Prodigal.
About this role
As a Data Engineer at Prodigal, you will design and manage data pipelines using dbt within a Databricks data lake, ensuring data quality and reliability for downstream teams. You will collaborate with cross-functional teams to derive actionable insights and support AI/ML initiatives by providing clean and structured data. Additionally, you will troubleshoot performance issues and contribute to the overall data engineering efforts in a fast-paced environment.
- benefits
- 4/5
- 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 Prodigal as an employer.
What you need
- 2-3 years of hands-on experience in data engineering
- Strong SQL skills for complex joins, aggregations, and window functions
- Python for data engineering with production-grade PySpark or Spark SQL experience
- Experience with dimensional modeling including star schemas and incremental loads
- Proficiency in dbt as a transformation framework
- AWS hands-on experience across Lambda, S3, CloudFront, SQS
Nice to have
- Foundational knowledge in ML/AI fundamentals
What you get
- Health insurance for you and your family
- Meals at office
- Travel reimbursement
- Unlimited leaves
- Subsidized gym membership
- Unlimited learning & development
Worth weighing
- In-office work mode in Koramangala, Bengaluru
- Fast-paced environment may require quick adaptation
- Focus on dbt as a primary tool for data transformation
Summarised from Prodigal's posting. Read the full original.
Listed by Prodigal on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.