Senior Data Engineer — AWS Data Pipelines (Hybrid PA)

Pittsburgh Tomorrow

Pittsburgh (Allegheny County)

Hybrid

USD 140,000 - 180,000

Full time

6 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Comprehensive benefits

Paid time off

401(k) plan

Job summary

Pittsburgh Tomorrow in Pittsburgh, PA is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines using AWS services such as Redshift, Glue, S3, and Step Functions. This hybrid role collaborates with engineering, product, and business stakeholders to turn data into trusted assets for analytics and applications.

You will own ingestion, transformation, validation, and metadata governance, ensure data quality, and help shape the future state of the data platform as the

Qualifications

Proficient in SQL and Python with large datasets.
Strong experience designing and maintaining production-grade data pipelines.
Experience with Git-based workflows and version control.
Solid data modeling and ETL/ELT pattern understanding.

Responsibilities

Design, build, and maintain scalable ETL pipelines using AWS Glue, Crawlers, Apache Hudi, and Step Functions.
Manage data storage and organization in Amazon S3.
Work with Redshift for analytics, reporting, and data as a service.
Own metadata management and schema discovery with Glue Data Catalog.
Ensure data quality, integrity, and consistency across pipelines.

Skills

SQL

Python

AWS

ETL/ELT

Data modeling

Git workflows

Tools

AWS Glue

Amazon Redshift

Amazon S3

Step Functions

Glue Data Catalog

Spark

Job description

You will own ingestion, transformation, validation, and metadata governance, ensure data quality, and help shape the future state of the data platform as the

Get your free, confidential resume review.

or drag and drop your file here.