WorkHQ
Lead Data Engineer at WorkHQ Los Angeles, CA
WorkHQ, Los Angeles, California, United States, 90079
Lead Data Engineer job at WorkHQ. Los Angeles, CA.
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr