Data Engineer — ETL/ELT, Airflow & AWS (Hybrid)

Compass Data & AI; United States; Hybrid; USD 63,000 - 84,000; Full time

Benefits offered by this job

Bonus

Benefits from Day 1

4 weeks vacation

RRSP match

Job summary

Compass Data & AI is seeking a Data Engineer to join the Data Technology team to build and maintain scalable data pipelines and APIs. You will collaborate with Data Scientists and Analytic Engineers to deliver reliable data solutions.

You’ll work with Python, SQL, Airflow, Spark, and AWS in a modern tech stack, focusing on data quality, observability, and proactive issue resolution. In-office collaboration and hybrid work are supported.

Qualifications

• 3–5 years of experience in Data Engineering or a similar role.
• Strong programming skills in Python and SQL.
• Hands-on experience with AWS, Lambda, Airflow, and Spark.

Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines on AWS.
• Build and maintain Airflow DAGs for reliability and performance.
• Develop data APIs and integrations across sources.
• Work with EMR, Iceberg, and Snowflake to support analytics.
• Ensure data quality, observability, and monitoring across pipelines.

Skills

Python

SQL

Airflow

Spark

AWS

Lambda

Docker

Kubernetes

CI/CD

Data pipelines

Education

Bachelor's degree in Computer Science/Engineering/IS

Tools

Snowflake

EMR

Iceberg

Secoda

DataDog

Job description

Compass Data & AI is seeking a Data Engineer to join the Data Technology team to build and maintain scalable data pipelines and APIs. You will collaborate with Data Scientists and Analytic Engineers to deliver reliable data solutions.

You’ll work with Python, SQL, Airflow, Spark, and AWS in a modern tech stack, focusing on data quality, observability, and proactive issue resolution. In-office collaboration and hybrid work are supported.