Data Engineer for Finance

<p> A fast-growing AI company''s Finance organization is looking for a Data Engineer to develop and maintain the data infrastructure that supports its CFO team. This role offers the opportunity to join a small, dynamic team with a wide-ranging mandate: build data pipelines, troubleshoot issues, and ensure the Finance team''s roadmap progresses smoothly. This is a full-time, onsite contract position for 6 months, with potential for extension based on performance and business needs. <b> Key Responsibilities </b></p><ul><li> Build and maintain PySpark-based data pipelines to ensure accurate and timely data flow for Finance. </li><li> Write and optimize SQL queries to extract, join, and validate large volumes of financial data. </li><li> Collaborate with Finance and engineering stakeholders to transform ambiguous requests into effective data infrastructure. </li><li> Quickly identify and resolve pipeline issues, taking ownership of data quality from end to end. </li></ul><b> Qualifications </b><ul><li>2, 4 years of experience as a Data Engineer. </li><li> Hands-on experience with PySpark and large-scale/distributed data processing. </li><li> Strong SQL skills, with direct testing during two technical interviews. </li><li> Willingness to work onsite full-time. </li><li> Bachelor''s degree in Computer Science or a related field. </li><li> Excellent written communication skills and the ability to work independently. </li></ul><p> This role is focused on hands-on data engineering tasks and does not involve business intelligence, dashboarding, reporting, or machine learning model training or research. </p><b> Work Terms </b><p> Full-time, onsite contract position for 6 months, with potential for extension. </p><b> Compensation </b><p>$60 - $85 per hour. </p><b> Eligibility </b><p> Must be able to work onsite in San Francisco, CA; New York, NY; or Bellevue, WA. </p>