Data Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Catapult Solutions Group, is seeking the following. Apply via Dice today! About The Role We’re looking for a Data Engineer to support a finance organization focused on forecasting, reconciliation, and performance insights for a high-volume business. This role is ideal for someone who enjoys solving complex data challenges, designing scalable pipelines, and ensuring data accuracy across systems. You’ll collaborate closely with finance and analytics teams to transform raw data into reliable, actionable insights that power financial strategy and decision-making. The ideal candidate combines deep SQL expertise, strong data modeling skills, and the ability to communicate effectively with both technical and non-technical partners. What You’ll Do • Design, build, and optimize ETL/ELT pipelines that ingest and transform large datasets from multiple sources. • Write, debug, and maintain advanced SQL queries, functions, and stored procedures to support financial data reconciliation and analysis. • Develop data tables applying accounting logic (e.g., revenue recognition) to enable accurate comparison between accounting and operational data. • Build and automate dashboards in Tableau or Qlik Sense for self-service reporting. • Troubleshoot and resolve data quality issues, ensuring accuracy, consistency, and performance across systems. What You’ll Bring • 5+ years of experience in data engineering, analytics, or database development. • Advanced proficiency in SQL and understanding of data modeling and data warehouse design principles. • Experience building and maintaining production-grade data pipelines using ETL/ELT frameworks such as AWS Glue, Informatica, Talend, Azure Data Factory, or dbt. • Background in financial data (payments, transactions, billing, or forecasting). • Strong analytical thinking, problem-solving, and communication skills. • Ability to collaborate effectively with both technical and business stakeholders. Nice-to-Have Skills • Familiarity with Python for data manipulation or automation. • Experience with Tableau or Qlik Sense for data visualization. • Exposure to payments, billing, or financial systems. Tools & Environment • BI Tools: Tableau (primary), Qlik Sense (secondary) • ETL/ELT: AWS Glue or similar • Languages: SQL (core), Python (optional) • Data Sources: Multiple data warehouses and data lakes across internal systems Contract Details • Duration: 6–7 months, with potential for extension based on business needs. • Location: Hybrid, Bay Area preferred (Mountain View or San Francisco). • Schedule: Roughly 1–2 days per month onsite for team syncs; remote flexibility available. Why You’ll Love This Role This is a high-impact opportunity to work at the intersection of Finance, Data, and Engineering, delivering the foundation that drives key business decisions. You’ll gain exposure to complex data ecosystems, cross-functional collaboration, and a strong potential for long-term engagement based on performance. Apply today to help shape the future of data-driven financial forecasting and insights. Keywords: Data Engineer | SQL | ETL | Data Pipeline | AWS Glue | Tableau | Qlik Sense | Financial Data | Payments | Python | Data Reconciliation