Data Engineer
Robert Half
Los Angeles, CA (In Person)
Full-Time
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Job Description
Responsibilities:
- Build and enhance dashboards, reports, and automated data workflows using tools such as Python, Excel, and Power BI.
- Translate business questions into scalable reporting and analytics solutions by working closely with stakeholders across multiple departments.
- Examine large and complex datasets to uncover trends, exceptions, and actionable insights that support operational and strategic decisions.
- Design and maintain data extraction, transformation, and loading processes, including query development and performance optimization.
- Monitor data accuracy through regular validation, issue resolution, and ongoing improvements to data governance practices.
- Support and guide entry-level BI team members by reviewing work, sharing best practices, and encouraging career growth.
- Explain technical findings in a clear way to non-technical audiences to promote understanding and adoption of data solutions.
- Lead or contribute to cross-functional initiatives that improve data accessibility, usability, and reporting effectiveness across the business.
- Administer BI platforms to maintain performance, reliability, and appropriate security controls.
- Deliver user support and training to help employees make effective use of reporting tools and interpret data confidently. Requirements
- 5+ years of experience in data engineering, business intelligence, or a closely related analytics role.
- Strong hands-on expertise with Python, SQL, Microsoft Excel, and Power BI.
- Experience working with cloud and data warehouse technologies such as Snowflake, AWS, or comparable platforms.
- Proven ability to develop ETL pipelines, write complex queries, and support database design or administration.
- Solid analytical and problem-solving skills with the ability to work through complex data challenges.
- Ability to manage multiple priorities and deliver high-quality work in a fast-paced setting.
- Strong communication skills and comfort partnering with both technical teams and business stakeholders.
- Familiarity with API development, advanced analytics, or financial and accounting data is a plus.
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