Data Engineer

Primary Focus: Hands-on data engineering, pipeline development, and data management (not oversight/support)

• Key Responsibilities:
• Design, build, and maintain data pipelines for extraction, transformation, and loading (ETL/ELT)
• Collaborate with cross-functional teams (architects, data scientists, AI engineers, analysts) to manage and optimize data assets
• Integrate data from various sources (databases, data warehouses, APIs, external systems)
• Ensure data quality, consistency, integrity, and perform data validation/cleaning
• Transform raw data using cleansing, aggregation, filtering, and enrichment techniques
• Optimize data workflows for performance, scalability, and efficiency; resolve bottlenecks
• Implement and monitor data quality checks and validations within pipelines
• Take accountability for maximizing the value of enterprise data and analytics for business insights and decision-making, Description We are looking for a skilled and experienced Substation Civil Site Engineer to work remotely supporting our Chicago, IL office. In this role, you will work alongsid…
• 11 days ago

Extensive hands-on experience with Informatica IDMC, Snowflake, and Microsoft technologies (SQL Server, Synapse, Azure Data Factory, Azure Databricks)

• Strong programming skills (C#, Python, SQL, Java)
• 8+ years in data engineering, including data modeling, integration, warehousing, MDM, governance, and analytics
• Clear, concise communication skills with the ability to translate technical info for various audiences
• Critical and creative thinking, problem-solving, and trend analysis in complex data sets
• Proactive, solution-oriented approach with a focus on continuous improvement and innovation
• Ability to work effectively across diverse teams, adapt to changing situations, and prioritize work streams
• Respect for individual differences, strong interpersonal skills, and a positive, resilient attitude
• Preferred/Nice to Haves:
• Certifications in relevant data and cloud technologies
• Prior experience in professional services, consulting, accounting, or managed services provider environments
• Client service or consultative experience