Senior Data Engineer — AWS/Python Data Platforms

PowerToFly; Pennsylvania; On-site; USD 140,000 - 190,000; Full time

Job summary

Deloitte is seeking an experienced Senior Data Engineer-Senior Consultant to join our Project Delivery talent model. This role focuses on on-site client delivery with limited travel, leveraging AWS, Python, and Spark to design and implement data solutions.

You will translate requirements into scalable data pipelines, integrate third-party products, and ensure production readiness through tests and automation. Strong collaboration with client teams is essential.

Qualifications

• 7+ years of hands-on experience in Data engineering.
• Proficient in Python and AWS services (Glue, EC2, ECS, Lambda, S3, Redshift).
• Strong knowledge of Spark and SQL Server; familiar with PySpark.

Responsibilities

• Provide senior level system analysis, design, development, and implementation of applications and databases.
• Translate technical specifications into code for moderately complex projects; write programs and tests.
• Migrate code to development, test, and production environments; provide production support.
• Follow software development methodology and architecture standards.
• Participate in design, code, and test inspections throughout the life cycle.
• Understand client business needs and Deloitte’s tools and databases.
• Learn and comply with IT and Information Security policies.
• Participate in special projects as assigned.

Skills

Data engineering

Python

Spark / Spark SQL

SQL

AWS

Dremio knowledge

ETL / data pipelines

Education

Bachelor's degree in CS/IT/Engineering

Tools

AWS services (Glue, EC2, ECS, Lambda, Step Functions, IAM, Athena, S3, Redshift)

Dremio

PySpark

Presto

HUE

SQL Server

Job description

Deloitte is seeking an experienced Senior Data Engineer-Senior Consultant to join our Project Delivery talent model. This role focuses on on-site client delivery with limited travel, leveraging AWS, Python, and Spark to design and implement data solutions.

You will translate requirements into scalable data pipelines, integrate third-party products, and ensure production readiness through tests and automation. Strong collaboration with client teams is essential.