Job Title: Data Engineer

Location: Pittsburgh, PA (Hybrid - 3 days onsite and 2 days work from home)

Duration: Full time

Job Summary

We are looking for a highly skilled Data Engineer with 6+ Years of strong expertise in Python and SQL, along with hands-on experience in DevOps and CI/CD practices. The role involves building scalable data pipelines, optimizing data systems, and enabling efficient data-driven solutions.

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines using Python and SQL.
Build and optimize data ingestion and transformation frameworks for large datasets
Develop robust solutions for data processing, validation, and quality assurance
Implement CI/CD pipelines and DevOps practices for data engineering workflows
Automate data pipelines, deployment, and monitoring processes
Work with cross-functional teams to understand business requirements and deliver data solutions
Troubleshoot and optimize performance of data pipelines and systems

Must-Have Skills

Hands-on experience in Python and SQL
Experience in data engineering concepts: ETL/ELT, data modeling, data warehousing
Solid exposure to DevOps tools & practices (CI/CD, Git, Jenkins, Docker, etc.)
Experience in building production-grade data pipelines
Strong debugging, problem-solving, and optimization skills

Good to Have

Experience with PySpark / Big Data technologies
Exposure to cloud platforms.
Knowledge of workflow orchestration tools (Airflow, etc.)
Understanding of data governance and quality frameworks

Qualification:

Bachelor’s degree in related field

Pay: $110,000.00 - $120,000.00 per year

Benefits:

401(k)
Dental insurance
Health insurance
Parental leave
Vision insurance

Work Location: Hybrid remote in Pittsburgh, PA 15222

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