Remote Data Engineer: Build Scalable Data Platforms
Empassion Health, Inc.
United States
Remote
USD 120,000 - 160,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Benefits offered by this job
Equity grants
Comprehensive medical, dental, and vision coverage
401(k) retirement plan
Job summary
Empassion Health, Inc. in the United States is looking for a Data Engineer to build and maintain data pipelines and workflows. The ideal candidate will have 2+ years of experience in data engineering, proficiency in SQL and Python, and expertise in cloud technologies such as GCP. This role involves transforming healthcare datasets and ensuring data integrity in a collaborative environment. Competitive compensation including equity grants, medical coverage, and a 401(k) plan is offered.
Qualifications
2+ years in data engineering or analytics engineering with proven ability to build pipelines.
Strong SQL skills for querying large datasets.
Proficiency in Python for data engineering tasks.
Experience with cloud data warehouses, preferably GCP.
Hands-on experience with dbt or similar data modeling tools.
Comfort in collaborative environments with Product and Tech teams.
Responsibilities
Build and maintain scalable data ingestion and egress pipelines.
Implement unit tests and monitoring for data integrity.
Transform healthcare datasets into usable formats for data science.
Write Python code for Apache Airflow workflows.
Enhance and scale data models with SQL and dbt.
Skills
Data engineering
SQL
Python
Cloud data warehouses
API development
Data modeling tools
Collaboration
Problem-solving
Communication
Tools
Airflow
dbt
BigQuery
Composer
Looker
Job description
Empassion Health, Inc. in the United States is looking for a Data Engineer to build and maintain data pipelines and workflows. The ideal candidate will have 2+ years of experience in data engineering, proficiency in SQL and Python, and expertise in cloud technologies such as GCP. This role involves transforming healthcare datasets and ensuring data integrity in a collaborative environment. Competitive compensation including equity grants, medical coverage, and a 401(k) plan is offered.