SENIOR DATA ENGINEER-REMOTE

Compas

Remote

Quick summary

Work type
Remote
Location
GA
Salary
$130,000–$140,000 / yr
Posted
6 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $174k
This role $135k
$120k most similar roles pay here $221k

This role pays less than 75% of similar roles. Most pay $136,475–$211,200 — the shaded band above. At the midpoint, this role pays about $135k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Compas

Compass is a technology-driven real estate brokerage providing agents and consumers with a full-service platform for buying, selling, and renting residential property. Industry: Real Estate Technology & Brokerage

Compas currently has 15 open roles on FindRole.

Listed pay typically runs $120,000–$132,500 across 8 roles with salary data.

Most-posted roles

View all roles at Compas

At a glance

TL;DR · SENIOR DATA ENGINEER-REMOTE

As a Master Data Management (MDM) Data Engineer at CDAI, you will join our dynamic data platform team to design and implement scalable, cloud-native data architectures on AWS. Your day-to-day responsibilities include building and maintaining ETL/ELT workflows using Python and AWS Glue, developing APIs for seamless data access, and collaborating with data science and software engineering teams to ensure robust data models. You will also manage data governance and security protocols while leveraging technologies such as S3, PostgreSQL, DynamoDB, Athena, Snowflake, Redshift, Lambda, and Glue. This role requires strong Python programming skills, experience with AWS services, and proficiency in SQL for various data stores. Additionally, you should be familiar with serverless architecture patterns, CI/CD workflows, and modern data stack tools like dbt and Databricks.

What you'll do

  • Design and implement scalable, cloud-native data architectures on AWS.
  • Build and maintain ETL/ELT workflows using AWS Glue, Lambda, and Python.
  • Develop and optimize APIs for seamless data access in business intelligence systems.
  • Analyze and resolve data quality issues to ensure accuracy and reliability.
  • Lead integration efforts with third-party APIs and data sources to expand capabilities.
  • Implement and manage data governance, security protocols, and compliance standards.
  • Mentor team members and champion modern data practices across the organization.

What we're looking for

  • 5+ years of experience in data architecture, engineering, or similar roles.
  • Hands-on programming experience with Python for at least 3 years.
  • Experience building and managing ETL/ELT data pipelines for 3+ years.
  • Proficient with AWS services including Lambda, Glue, S3, DynamoDB, Athena, Redshift, and Snowflake.
  • Strong SQL skills and ability to write performant queries across various data stores.
  • Solid understanding of OLTP, ODS, and dimensional modeling techniques.
  • Experience designing APIs and integrating with API-driven data workflows.

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