Data Engineer

Job title: Data Engineer Client: Hunter Scouts Location: California, United States - On-Site Contract type: CONTRACT Contract duration: 40 hours/week, contract (duration not specified) Salary: About the role Hunter Scouts is seeking a Contract Data Engineer to support a confidential, large professional services client. This is a hands-on role focused on designing and operating robust ETL/data pipelines to support Accounting and Treasury workflows. You will build and maintain SQL/Python pipelines, orchestrate workflows with Airflow (or similar), and collaborate with finance stakeholders to deliver reliable, well-documented data solutions. Responsibilities • Design, build, and maintain scalable ETL/data pipelines using SQL and Python • Orchestrate workflows and schedules using Apache Airflow or similar orchestration tools • Develop and optimize data models following data architecture best practices • Ensure data quality, reliability, and documentation across pipelines and datasets • Collaborate with Accounting and Treasury stakeholders to translate business requirements into data solutions • Monitor, troubleshoot, and improve pipeline performance and cost efficiency • Contribute to and promote data engineering standards and best practices Requirements • Must be based in California, United States and authorized to work in the U.S. without employer sponsorship • Minimum 5 years of hands-on experience in data engineering or data pipeline development • Strong proficiency in SQL and Python for data engineering • Experience building and maintaining production ETL processes and data models • Proficiency with Apache Airflow or a similar orchestration tool (e.g., Prefect, Luigi) • Experience working with financial data and a solid understanding of Accounting and Treasury concepts Preferred Skills • Experience integrating with ERP or Treasury Management Systems (e.g., SAP, Oracle, Kyriba) • Familiarity with modern cloud data platforms and warehousing patterns (e.g., Snowflake, BigQuery, Redshift) • Experience with additional data processing languages (e.g., Scala, Java) • Experience implementing data quality frameworks, lineage, or metadata tooling • Familiarity with version control (Git), Linux, and CI/CD for data pipelines Notes • This is a 40-hours-per-week contract role; compensation is hourly. • Client identity is confidential; do not disclose the company name externally.