Immediate interview for Senior Data Engineer @ Pittsburgh, PA (3 days on-site required)

Overview

On Site
Contract - W2
Contract - Long term

Skills

FOCUS
Database
Reporting
Data Processing
Workflow
Business Intelligence
Data Quality
Data Governance
Data Engineering
SQL
Writing
Debugging
Python
PySpark
Data Manipulation
Microsoft Power BI
Dashboard
Snow Flake Schema
Data Warehouse
Extract
Transform
Load
Informatica
Conflict Resolution
Problem Solving
Analytical Skill
Attention To Detail
Communication
Collaboration
Data Modeling
Analytics
Cloud Computing
Amazon Web Services
Microsoft Azure
Continuous Integration
Continuous Delivery
IMG

Job Details

Hello,

I am Mohammed Dastagir with Saxon Global Inc wanted to let you know about the job opportunity for Senior Data Engineer position if interested please share your updated resume along with expecting rate.

Title: Senior Data Engineer

Location: Pittsburgh, PA (3 days on-site required)

Duration: 12+ months

Only on w2

Job description:

We are seeking an experienced Data Engineer who will focus on optimizing the performance of reporting and analytics platform. This is a very hands-on role that will work closely with data analysts, developers, and business stakeholders to diagnose data performance issues, refactor complex queries, and improve data processing pipelines. Expertise in writing complex SQL queries is required along with solid experience with Python/PySpark. Experience with Snowflake Cloud DB is highly desired along with solid ETL understanding.

Responsibilities:

  • Design, develop, and optimize highly complex SQL queries to support reporting and analytical needs.
  • Identify and resolve performance bottlenecks across data pipelines and reporting tools, particularly Power BI.
  • Leverage PySpark and Python to build scalable data processing and transformation workflows.
  • Collaborate with analysts and BI teams to tune and optimize queries for Snowflake-based datasets.
  • Develop and enhance ETL pipelines to ensure data is reliable, performant, and aligned with business requirements.
  • Conduct deep-dive investigations into data quality and integrity issues across data sources.
  • Implement best practices for data engineering, query performance, and data governance.
  • Document solutions, data models, and performance recommendations for internal teams.

Required Skills & Qualifications:

  • 10+ years of post graduate experience in combination with 5+ years of experience in data engineering role.
  • Expertise in advanced SQL, including writing, optimizing, and debugging complex queries on large datasets.
  • Strong experience with Python and PySpark for data manipulation and pipeline development.
  • Proven track record of optimizing performance within Power BI dashboards and underlying datasets.
  • Experience working with Snowflake or similar cloud-based data warehouses
  • Solid understanding of ETL processes and tools (e.g., Airflow, dbt, Informatica) - nice to have.
  • Excellent problem-solving and analytical skills with an attention to detail.
  • Strong communication skills and ability to collaborate with cross-functional teams.

Nice to have:

  • Experience with data modeling for analytics platforms.
  • Familiarity with cloud platforms like AWS or Azure.
  • Exposure to CI/CD pipelines for data infrastructure.

Mohammed Dastagir

Resource Manager

Saxon Global Inc.

a:

Linked in:

w: e: dastagir.m

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.