or apply directly on Placer.ai's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 59 days Placer.ai's roles stay open a median of 73 days
- Reposted
- No
- Salary listed
- No 59% of Placer.ai's roles list one
- Ghost-job risk at Placer.ai
- high 14 stale, 1 reposted of 17 open
- Hiring momentum
- 22 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Placer.ai's own greenhouse board since 2026-08-03. Full hiring picture for Placer.ai.
About this role
As a Senior Big Data Engineer at Placer.ai, you will be responsible for designing and maintaining the data infrastructure that supports the company's location analytics platform. Your day-to-day tasks will include building and optimizing data pipelines, ensuring data quality, collaborating with cross-functional teams, and providing mentorship to junior engineers. You will also work extensively with cloud technologies and implement data governance practices.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- 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 Placer.ai as an employer.
What you need
- Strong hands-on Apache Spark experience — building and operating pipelines in production
- Proficiency in PySpark or Scala for Spark development
- Proven track record delivering ETL pipelines and data integration at scale
- Solid SQL skills and command of data modeling concepts
- Cloud platform experience (AWS, GCP, or Azure) in a production data context
- Comfortable working with distributed systems and big data formats (Parquet, Delta Lake)
Nice to have
- Experience with pipeline orchestration tools, particularly Apache Airflow
- Exposure to the geospatial or location analytics domain
- Familiarity with Hadoop ecosystem components
- Background in both Python and Scala (beyond Spark context)
What you get
- Competitive salary
- Excellent benefits
Worth weighing
- No salary listed
- Focus on cloud technologies (GCP and AWS) may require specific expertise
- Mentorship responsibilities may add to workload
Summarised from Placer.ai's posting. Read the full original.
Listed by Placer.ai on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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