Job Title: Data Engineer
Location: Chicago, IL
Duration: ~12 months
Overview
Looking for a Senior Data Engineer for Financial Ledger Systems team in Chicago. This team is building an accounting ledger system, integrating data from various sources, and ensuring accurate financial reporting. The candidate will have strong expertise in Python and Databricks, coupled with financial services experience and data modeling skills.
Responsibilities
- Design, develop, and maintain scalable data pipelines using Python and Databricks to integrate data from multiple systems into the financial ledger system.
- Work with cross-functional teams to gather requirements, understand data sources, and ensure seamless data integration and transformation.
- Create and maintain complex data models to support accurate financial reporting and analysis.
- Identify and implement improvements to the data processing and integration workflows to optimize performance and reliability.
- Work closely with data analysts, financial experts, and other stakeholders to ensure data accuracy and alignment with business needs.
- Develop documentation for data processes, models, and integration workflows.
- Implement data quality checks and validation processes to ensure the integrity of financial data.
Qualifications
- Minimum of 5 years of experience in data engineering or related fields, with a significant portion of that experience in financial services.
- Experience in Python programming and experience with Databricks for data processing and integration.
- Experience in data modeling and experience in building complex data models for financial applications.
- Familiarity with accounting principles, financial reporting, and ledger systems.
- Experience with additional data processing tools and technologies is a plus (e.g., SQL, Spark, AWS, etc.).
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