Senior Data Engineer

Foley

Senior Data Engineer designing and maintaining data systems for Foley’s SaaS platform in safety-sensitive industries. Collaborating with cross-functional teams to ensure scalable and reliable data solutions.

Posted 7/20/2026full-timeRemote • Arizona, California, Colorado, Connecticut, Florida, Illinois, Kansas, Maryland, Massachusetts, Missouri, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin • 🇺🇸 United StatesSenior💰 $140,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining ETL/ELT pipelines, designing scalable data warehouse schemas, and implementing data workflows using Python and SQL. Proficient in leveraging AWS data services to enhance data reliability and performance.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentData Warehouse Schema DesignPython ProgrammingAWS Data ServicesProblem-Solving in Production

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETLELTData Pipeline DevelopmentData ModelingPythonSQLAWS RedshiftAWS GlueAWS LambdaAWS S3

Soft Skills

CommunicationProblem-SolvingIndependence

Tools & Technologies

AWS EventBridge

Industry Keywords

Data WarehousingBatch ProcessingEvent-Driven DataData QualityData Transformation

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudETLPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable data pipelines across internal databases, vendor systems, and our data warehouse
Support both batch and event-driven or CDC-based data workflows
Improve pipeline reliability, observability, and performance
Troubleshoot issues in production and proactively solve data quality or system problems
Build and maintain data warehouse schemas and transformation layers to support analytics and operational use cases
Communicate clearly about implementation choices, tradeoffs, and technical constraints
Identify opportunities to improve data workflows through better tooling, automation, and engineering practices
Help shape scalable patterns for how data is ingested, transformed, stored, and accessed

Requirements

What you’ll need

Strong experience building and maintaining ETL/ELT pipelines in production environments
Experience working across both batch and streaming / CDC / event-driven data patterns
Proven ability to design and maintain scalable warehouse schemas and data models within a layered architecture
Strong experience with Python, SQL, and cloud-based data platforms
Experience with AWS data services such as Redshift, Glue, Lambda, S3, and EventBridge
Strong software engineering fundamentals, including reliability, testing, and maintainability
Ability to operate independently and deliver high-quality solutions within a defined technical scope
Strong problem-solving skills and a track record of handling issues in production environments.

Benefits

Comp & perks

medical coverage
dental coverage
vision coverage
401(k) with company match
paid time off and holidays
wellness programs
employee assistance program