Data Engineer

Overview

Hybrid

Depends on Experience

Contract - W2

Skills

SQL

Python

Job Details

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.