Role Description: We're hiring a Data Engineering Manager to lead our analytics engineering team and own the strategy, architecture, and delivery of our data platform. You'll manage two analysts, partner with software engineering on ETL/integration work, and make the technical decisions that shape how the organization consumes data. Your priorities are speed, security, and stability—in that order when they conflict. This role requires initiative and ownership. You'll operate with significant autonomy—identifying problems, developing solutions, and driving them to completion without waiting for direction. We need someone who stays close to the work and leads by example. Roles & Responsibilities: • Manage and develop a team of two data analysts focused on reporting, dashboards, and data modeling • Own schema design, data modeling decisions, and warehouse architecture • Optimize query performance, storage costs, and pipeline reliability • Partner with engineering teams on data integration, ETL processes, and source system changes • Establish and enforce standards for data quality, access controls, and documentation • Evaluate and implement tooling decisions across the data stack • Translate business requirements into scalable, maintainable data solutions • Integrate multiple systems with Salesforce Sales Cloud, including internal proprietary and third-party applications and APIs Qualifications: • Bachelor’s Degree in Computer Science and Engineering or equivalent • 5+ years of experience in data engineering, analytics engineering, or a related technical role • 2+ years of experience managing or technically leading a team • Deep expertise with cloud data warehouse: Azure Data Warehouse or Snowflake • Advanced SQL skills and solid understanding of data modeling patterns (star schema, normalization tradeoffs, slowly changing dimensions) • Hands-on experience with at least one BI platform (PowerBI, Tableau, or Looker) • Experience with Salesforce data structures and reporting (SOQL, custom objects, record relationships) • Familiarity with ETL/ELT orchestration tools (Airflow, Azure Data Factory, Airbyte etc..) • Background in data governance, PII handling, or compliance requirements • Ability to understand and document business logic, not just technical implementation • Clear communication skills—you'll interface with both engineers and business stakeholder

Qualifications:• Bachelor’s Degree in Computer Science and Engineering or equivalent• 5+ years of experience in data engineering, analytics engineering, or a related technical role• 2+ years of experience managing or technically leading a team• Deep expertise with cloud data warehouse: Azure Data Warehouse or Snowflake• Advanced SQL skills and solid understanding of data modeling patterns (star schema, normalization tradeoffs, slowly changing dimensions)• Hands-on experience with at least one BI platform (PowerBI, Tableau, or Looker)• Experience with Salesforce data structures and reporting (SOQL, custom objects, record relationships)• Familiarity with ETL/ELT orchestration tools (Airflow, Azure Data Factory, Airbyte etc..)• Background in data governance, PII handling, or compliance requirements• Ability to understand and document business logic, not just technical implementation• Clear communication skills—you'll interface with both engineers and business stakeholder

<h3 class="rh-display-3--rich-text">Technology Doesn't Change the World, People Do.®</h3> Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. <a href="https://www.roberthalf.com/us/en/mobile-app" target="_blank">Download the Robert Half app</a> and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit <a href="https://roberthalf.gobenefits.net/" target="_blank">roberthalf.gobenefits.net</a> for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to <a href="https://www.roberthalf.com/us/en/terms">Robert Half’s Terms of Use</a>.

Irvine, CA
onsite
Permanent
135000.00 - 160000.00 USD / Yearly
Role Description: We're hiring a Data Engineering Manager to lead our analytics engineering team and own the strategy, architecture, and delivery of our data platform. You'll manage two analysts, partner with software engineering on ETL/integration work, and make the technical decisions that shape how the organization consumes data. Your priorities are speed, security, and stability—in that order when they conflict. This role requires initiative and ownership. You'll operate with significant autonomy—identifying problems, developing solutions, and driving them to completion without waiting for direction. We need someone who stays close to the work and leads by example. Roles & Responsibilities: • Manage and develop a team of two data analysts focused on reporting, dashboards, and data modeling • Own schema design, data modeling decisions, and warehouse architecture • Optimize query performance, storage costs, and pipeline reliability • Partner with engineering teams on data integration, ETL processes, and source system changes • Establish and enforce standards for data quality, access controls, and documentation • Evaluate and implement tooling decisions across the data stack • Translate business requirements into scalable, maintainable data solutions • Integrate multiple systems with Salesforce Sales Cloud, including internal proprietary and third-party applications and APIs Qualifications: • Bachelor’s Degree in Computer Science and Engineering or equivalent • 5+ years of experience in data engineering, analytics engineering, or a related technical role • 2+ years of experience managing or technically leading a team • Deep expertise with cloud data warehouse: Azure Data Warehouse or Snowflake • Advanced SQL skills and solid understanding of data modeling patterns (star schema, normalization tradeoffs, slowly changing dimensions) • Hands-on experience with at least one BI platform (PowerBI, Tableau, or Looker) • Experience with Salesforce data structures and reporting (SOQL, custom objects, record relationships) • Familiarity with ETL/ELT orchestration tools (Airflow, Azure Data Factory, Airbyte etc..) • Background in data governance, PII handling, or compliance requirements • Ability to understand and document business logic, not just technical implementation • Clear communication skills—you'll interface with both engineers and business stakeholder
2025-12-16T20:44:01Z