Lead Data Engineer

Company Context

Series A, well-funded US startup in HRTech developing WorkHQ.com and an AI Recruiter product.

This is a US-only, Remote role (Mainland).

Role Overview

Lead data infrastructure architect managing billions of data points across 250M+ professional profiles.

Hire data engineers to aid you in that journey.

Core Responsibilities

• Design scalable data pipelines processing massive record volumes

• Architect ETL processes using PySpark on Amazon EMR (Open to shifting to other solutions like Data Bricks / Snowflake)

• Distribute enriched data through medallion architecture across Postgres, Athena, OpenSearch

• Integrate new data sources into the main pipeline

• Implement advanced data matching using Splink

Technical Requirements

• 5-8 years professional data engineering experience

• Good proficiency in:

  • PySpark and distributed computing

  • AWS data services (EMR, Glue, Athena)

  • Docker

  • Pandas and DataFrame manipulation

  • Complex data format handling (JSONL, Parquet)

• Strong background in:

  • Big data processing architectures

  • Data warehouse design

  • Performance optimization

• Advanced Python, SQL skills

Nice to Have

• Probabilistic record linking expertise

• OpenSearch/elasticsearch technologies

• Machine learning data pipeline design

• Recruitment tech ecosystem knowledge

Technical Stack

• Big Data: PySpark, EMR

• Databases: Postgres, OpenSearch

• Cloud: AWS

• Containerization: Docker

• Data Formats: JSONL, Parquet

• Analytics: Metabase, Athena, Glue

• Data Processing: Pandas, Splink

Other Considerations

While this role has specific requirements - if you lack a few technical skills, but motivated to learn and lead the platform, please apply for consideration.

If you are coming from Director/Head of/VP levels that is relevant to this job, you can apply as well.

You will need to apply directly on our platform.

Thank you for your time.