Baselayer

Data Engineer

Baselayer · San Francisco, California

Posted 13 days ago · $120,000 – $150,000

or apply directly on Baselayer's site. We never take the application ourselves.

Is this posting real?

This role has been open
13 days
Baselayer's roles stay open a median of 15 days
Reposted
No
Salary listed
Yes
100% of Baselayer's roles list one
Ghost-job risk at Baselayer
low
0 stale, 0 reposted of 16 open
Hiring momentum
46 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 Baselayer's own greenhouse board since 2026-08-03. Full hiring picture for Baselayer.

About this role

As a Data Engineer at Baselayer, you will build and maintain ETL/ELT pipelines that process diverse data sources into a reliable identity graph for US businesses. You will work closely with data scientists and ML engineers to ensure data quality and availability for entity resolution and scoring, while also implementing performance tuning and security measures. This role is designed for early-career engineers eager to engage directly with data models and production code.

Our read on this posting4.2out of 5
benefits
4/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
5/5

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 Baselayer as an employer.

What you need

  • 1+ years of experience in data engineering
  • Experience building and maintaining ETL/ELT pipelines in a production environment
  • Working knowledge of modern data stack tooling (e.g. Dataflow, Spark, Airflow or equivalents)
  • Hands-on experience with cloud data warehouses or lakes (e.g. BigQuery, Snowflake, or equivalents)
  • Solid data modeling fundamentals
  • Comfort with both structured and unstructured data

Nice to have

  • Curiosity about AI/ML infrastructure
  • Experience with streaming or real-time data systems (e.g. Kafka, Pub/Sub)
  • Exposure to KYC/KYB, fraud, risk, or underwriting data
  • GCP experience (BigQuery, Cloud Run, Dataflow, Pub/Sub)
  • You care deeply about data quality and trust

What you get

  • Flexible PTO
  • Competitive compensation with equity
  • 100% coverage of health, dental, and vision premiums
  • 401(k) with company match
  • HSA contributions included
  • $250 monthly gym stipend

Worth weighing

  • Hybrid work model with 4 days in the office
  • Early-career role may involve steep learning curve
  • No mention of specific technologies for data quality checks or observability tooling

Summarised from Baselayer's posting. Read the full original.

Listed by Baselayer on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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