Data Engineer / Data Scientist (Hybrid)

Overview

We are seeking a versatile Data Engineer / Data Scientist to join a growing, data-driven organization just north of downtown Pittsburgh. This hybrid role blends data engineering, analytics, and machine learning, offering the opportunity to work across the full data lifecycle—from building scalable data pipelines to developing predictive models that drive business decisions.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows to support analytics and machine learning initiatives
• Develop and optimize data architectures in cloud and on-prem environments (e.g., AWS, Azure, or GCP)
• Analyze large, complex datasets to extract insights and support business strategy
• Build, train, and deploy machine learning models for forecasting, classification, and optimization use cases
• Collaborate with cross-functional teams including product, engineering, and business stakeholders to translate data needs into technical solutions
• Ensure data quality, integrity, and governance across systems
• Create dashboards, visualizations, and reports using tools like Power BI, Tableau, or similar
• Continuously improve data processes and recommend new tools, technologies, and methodologies

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (Master’s preferred)
• 3+ years of experience in data engineering, data science, or a hybrid role
• Strong programming skills in Python and SQL
• Experience building data pipelines and working with large datasets (e.g., Spark, Airflow, or similar tools)
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
• Experience with data visualization and BI tools
• Strong problem-solving skills and ability to communicate technical concepts to non-technical stakeholders

Preferred Qualifications

• Experience with containerization and orchestration tools (Docker, Kubernetes)
• Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery)
• Familiarity with MLOps practices and model deployment pipelines
• Experience in Agile or Scrum environments

Why Join Us?

• Hybrid flexibility with a modern office conveniently located near downtown Pittsburgh
• Competitive salary and comprehensive benefits package
• Opportunity to work on impactful, data-driven initiatives with cutting-edge tools
• Collaborative and innovative team environment with strong growth potential