Sr. Data Engineer- Chicago, IL or Reston, VA- ONSITE 4 X Week

Job Summary: We are seeking a highly skilled Data Engineer with expertise in SQL and either Python or Scala, experienced in building large-scale data pipelines using Apache Spark and designing robust data architectures on AWS.

• Architect, design, and develop high-performance, scalable data pipelines.
• Develop large scale and complex Big Data ETL using modern frameworks such as DBT and Databricks Delta Live Tables (DLT)
• Define and implement data lake architectures and open table formats (e.g., Delta Lake, Iceberg).
• Establish and enforce best practices for data engineering, ensuring data quality, integrity, and performance.
• Drive observability and monitoring for data pipelines, implementing data catalogs and lineage tracking.
• Ability to own critical modules for complex and large-scale Batch ETL models and ability to articulate models to Product, Engineering and Leadership
• Effectively context switch between multiple priorities, balancing long-term architectural goals with immediate business needs.
• Develop complex Semantic layers and help create customer facing self-service analytics
• Consistent exercise of independent judgment and discretion in matters of significance.
• Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.

• Bachelor’s or Master’s degree in Computer Science & Engineering, or a related field.
• 2+ years of experience in building and operating large-scale data processing systems.
• Strong programming skills in SQL and either Python or Scala.
• Extensive experience in Apache Spark and processing large-scale datasets.
• Hands-on experience with DBT, Databricks, Snowflake, ClickHouse, and other modern data platforms.
• Solid understanding of data lake architectures and open table formats (Delta Lake, Iceberg).
• Experience in monitoring and observability for data pipelines, implementing data catalogs and lineage tracking solutions.
• Ability to quickly adapt and context switch among different priorities, working efficiently in a fast-paced environment.
• Strong generalist mindset with the ability to work across different technology stacks and polyglot programming skills, demonstrating fluency in multiple programming languages beyond primary expertise.
• Ability to understand, create or manage different data lake & data warehouse modeling paradigms

• Paid Time off
• Physical Wellbeing
• Financial Wellbeing
• Emotional Wellbeing
• Life Events + Family Support

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