Senior Data Analytics Engineer

Senior Data Analytics EngineerSalary: $120k-$135k + 15% bonusLocation: Chicago, ILHybrid: 3 days onsite, 2 days remote*We are unable to provide sponsorship for this role*QualificationsBachelor’s degree3-5+ years of software development/data analytics/quantitative analysis rolesFintech or financial industry experienceExperience working in Risk or Compliance areasProficient programming skills in Python (Pandas/Numpy)SQL programming on relational databasesTableau or Python/R data visualization libraries. Curator is a plus.Experience working on workflow and orchestration tools like Alteryx, Airflow, Power BI or scheduling automated jobs in Windows or Unix environment.Experience with cloud data services (AWS, Azure or similar platforms.)Building end-to-end data pipelines and using best practices in development and testing.Familiarity with Agile framework and versioning tools like Git.Knowledge of Data Architecture, Data Modeling, and Semantic Data Modeling.Strong understanding of CI/CD, DevOps principles in a data context.Bonus PointsMatlab or R. Object Oriented programming skillsExperience with Agentic AI tools, generative AI and prompt engineeringUnderstanding of statistics/quantitative analysis and experience applying these concepts in a business environmentMaster’s degreeResponsibilitiesDesign, build, and maintain automated workflows that enable data extraction, processing, and conversion to standardized data models.Develop and maintain data pipelines that ensure end-to-end process automation related to different aspects of the Compliance program.Create and maintain department dashboards and other monitoring solutions.Implement automated and sustainable reporting for a variety of audiences including management, the Chief Compliance Officer, the Board of Directors, and regulators.Support analytics framework by following best practices in code review, testing, documentation and technical writing.Optimize existing technologies and data sets and develop new solutions to drive analyses and inform decision-making for Compliance.Analyze overall analytics processes strategically and provide comprehensive solutions on a design architecture level.Escalate issues to the Director, Data Analytics Engineering, as needed.