Senior Data Engineer — Snowflake & AWS Data Platform Lead

Highbrow Llc; Berkeley Heights (NJ); On-site; USD 77,000 - 128,000; Full time

Job summary

Deloitte seeks an experienced Data Engineer to design, build, and operate modern data products within the Data & Analytics Foundry for long-term, onsite client delivery under the Project Talent Model.

The role requires 4+ years in production data engineering with SQL, Python, Snowflake, and PySpark, plus cloud experience (AWS preferred). You will implement orchestration, optimize warehouse performance, and collaborate with multiple teams.

Qualifications

• 4+ years delivering production-grade data pipelines and curated datasets.
• 4+ years of hands-on SQL and Python with Snowflake and/or PySpark for scalable data processing.
• 4+ years designing batch and near-real-time data pipelines on cloud platforms (AWS preferred; Azure/GCP acceptable).
• Experience with data integration frameworks and orchestration tools.

Responsibilities

• Design, build, and support scalable batch and near-real-time data pipelines on AWS and Snowflake.
• Collaborate with product teams to translate requirements into well-defined datasets and data contracts.
• Implement orchestration and workflow automation with retries and backfills; optimize performance and cost.

Skills

SQL

Python

Snowflake

PySpark

AWS

Azure

GCP

ELT concepts

CI/CD

IaC

Education

Bachelor's degree in CS/IT/CE

Tools

Airflow

S3

Snowflake

Job description

Deloitte seeks an experienced Data Engineer to design, build, and operate modern data products within the Data & Analytics Foundry for long-term, onsite client delivery under the Project Talent Model.

The role requires 4+ years in production data engineering with SQL, Python, Snowflake, and PySpark, plus cloud experience (AWS preferred). You will implement orchestration, optimize warehouse performance, and collaborate with multiple teams.