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About the Role

RIVO is seeking an experienced Data Engineer to join our Data team and help build upon the infrastructure that drives analytics, reporting, and data-driven decision-making across the business. This role offers a unique opportunity to own and shape data engineering at RIVO, working across multiple departments, gaining visibility with leadership, and building systems that directly impact the business.

Responsibilities

• Build and maintain scalable ETL/ELT pipelines that move data from production systems into analytical environments
• Design and optimize data warehouse structures to support reporting, business intelligence, and analytics use cases
• Ingest and integrate data from multiple sources, including databases, APIs, and third-party systems
• Develop and maintain data models that support efficient querying and downstream consumption
• Write and optimize complex SQL queries to transform, validate, and analyze data
• Establish data quality checks and monitoring processes to ensure accuracy, reliability, and completeness
• Partner with Engineering, Product, and Analytics teams to define data requirements and deliver trusted datasets
• Support Data Science and analytics initiatives by providing clean, structured, and accessible data
• Implement data governance best practices, including data security, access controls, and lifecycle management
• Troubleshoot data pipeline issues, performance bottlenecks, and data inconsistencies
• Continuously improve and automate data workflows to increase efficiency and reduce manual processes
• Provide technical guidance to team members through collaboration and code reviews, contributing to data engineering best practices and standards

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field required
• 4–6+ years of experience in data engineering, data warehousing, or a related field
• Strong expertise in SQL, including complex queries and performance optimization
• Proficiency in Python (or similar language) for data processing and automation
• Experience building and maintaining production-grade data pipelines and warehouse systems
• Experience integrating data from multiple sources into analytical environments
• Familiarity with data modeling, ETL/ELT processes, and pipeline orchestration
• Experience with data quality validation, monitoring, and troubleshooting
• Strong analytical and problem-solving skills with attention to detail
• Ability to communicate technical concepts clearly across both technical and non-technical audiences
• Comfortable working in a fast-paced environment with evolving priorities

Skills

• SQL
• Python
• Data modeling
• ETL/ELT processes
• Pipeline orchestration
• Data quality validation
• Data monitoring
• Troubleshooting

Location

• On-site

Work Type

• On-site
• Full-time

Experience Level

• 4-6+ years

Education Level

• Bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field

Salary/Compensations

• $105,000.00 - $130,000.00

Benefits

• No evening or weekend work
• Up to $5,000 annually in childcare reimbursement
• Comprehensive fertility treatment coverage
• Free weekly group workouts
• Regular happy hours and company-wide events
• Padres tickets raffle drawings
• Free coffee, energy drinks, and snacks
• Company-paid parking or MTS pass
• Perfect attendance incentive
• Company paid holidays and PTO
• Medical, dental, and vision plans with a 70/30 cost share
• 401(k) plan with employer matching

About the Company

• At RIVO, we recognize hard work and performance, foster a culture of growth, and encourage collaboration across departments.
• We value the unique skills and experiences that each employee brings to the table, recognizing that this diversity strengthens our company and helps us fulfill our core values: Respect, Integrity, Value, and Opportunity.
• Proud to be nationally recognized as a USA TODAY Top Workplace for 2026!

Equal Opportunity

• RIVO Holdings, LLC is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, disability, age (40 years old or older) and genetic information (including family medical history), past or present military or veteran status, or any other characteristic protected by applicable law.