Senior Data Engineer

Location/HYBRID preferred : Chicago, downtown - 3 days per week *Open to remote candidates as well Duration: 6 months+ Role Overview Design, build, test, and maintain software programs and data applications. Responsibilities include researching, designing, documenting, and updating software specifications throughout the development lifecycle, troubleshooting and resolving software issues promptly, and providing status updates as needed. Responsibilities Design and implement scalable ETL/ELT pipelines in cloud environments Develop and optimize data models and SQL queries for performance Orchestrate, schedule, and monitor data pipelines Build dashboards and reporting/BI solutions for self-service analytics Apply data warehousing and dimensional modeling best practices Support large-scale datasets and analytical reporting needs Collaborate with stakeholders, analysts, and engineering teams to deliver data-driven solutions Requirements Senior-level experience in data engineering, with working knowledge of reporting/analytics Strong, hands-on experience with Snowflake (mandatory) Solid experience with AWS services, particularly S3 (mandatory) Proficiency in Python for data engineering tasks within AWS Experience with Airflow for pipeline orchestration SQL proficiency required (minimum 8/10 skill level) Solid understanding of data warehousing concepts and ETL/ELT principles Strong communication skills and comfort engaging directly with business stakeholders Ability to manage projects independently and take full ownership end-to-end #J-18808-Ljbffr