Remote Senior Data Engineer - Scalable Data Pipelines

Foley

United States

On-site

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) with company match
Paid time off
Holidays
Wellness programs
Employee assistance program

Job summary

Foley is seeking a Senior Data Engineer to design, build, and scale the data systems that power Foley’s operations and growth. You will develop reliable data pipelines, contribute to enterprise data architecture, and improve data modeling, governance, and access.

You’ll partner with Engineering, Product, Analytics, and business stakeholders to ensure data is scalable and trusted for decision‑making. This hands‑on role rewards practical execution and delivering production‑quality data solutions

Qualifications

  • Strong experience building ETL/ELT pipelines in production.
  • Experience with batch and streaming / CDC / event-driven patterns.
  • Design and maintain scalable warehouse schemas and data models.
  • Strong Python, SQL, and cloud-based data platform skills.
  • Experience with AWS data services (Redshift, Glue, Lambda, S3, EventBridge).

Responsibilities

  • Design, build, and maintain scalable data pipelines across internal databases and data warehouse.
  • Create and maintain data warehouse schemas and transformation layers.
  • Partner with Engineering, Product, Analytics, and business stakeholders to translate requirements.
  • Improve tooling, observability, and automation.
  • Contribute to data architecture and data governance practices.

Skills

Python
SQL
Cloud data platforms

Tools

Redshift
Glue
Lambda
S3
EventBridge

Job description

Foley is seeking a Senior Data Engineer to design, build, and scale the data systems that power Foley’s operations and growth. You will develop reliable data pipelines, contribute to enterprise data architecture, and improve data modeling, governance, and access.

You’ll partner with Engineering, Product, Analytics, and business stakeholders to ensure data is scalable and trusted for decision‑making. This hands‑on role rewards practical execution and delivering production‑quality data solutions

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