Lead Data Engineer

Randstad (Schweiz) AG; Los Angeles (CA); Remote; USD 120,000 - 180,000; Full time

Job summary

A well-funded Series A HRTech startup is seeking a Lead Data Infrastructure Architect. In this US-only remote role, you will be managing billions of data points and leading a team of data engineers. Responsibilities include designing data pipelines, implementing ETL processes using PySpark, and ensuring performance optimization across data warehouses. Ideal candidates will have extensive experience in data engineering and a strong understanding of AWS services.

Qualifications

• 5-8 years of professional data engineering experience required.
• Good proficiency in PySpark, AWS data services, and Docker.
• Strong background in Big Data processing and data warehouse design.

Responsibilities

• Design scalable data pipelines and architect ETL processes.
• Distribute enriched data through medallion architecture.
• Integrate new data sources into the main pipeline.

Skills

Data Engineering

AWS Data Services

Python

SQL

Big Data Processing

ETL Processes

Distributed Computing

Data Warehouse Design

Tools

PySpark

Docker

Postgres

OpenSearch

Pandas

Job description

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.