Data Engineer

Job Description

• This is a fully on-site role. Hybrid/remote work is not available at this time*
• We are unable to sponsor or take over sponsorship of an employment visa at this time*

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. As the team’s dedicated Data Engineer , 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. In this role, you’ll design and maintain scalable data pipelines, ensure data quality and reliability, and partner cross‑functionally to deliver production‑ready data solutions. This is an ideal opportunity for someone who enjoys building robust data systems, solving complex data challenges, and contributing to a collaborative, high‑impact team environment. Why You’ll Love Working Here High‑impact role supporting core analytics and business decision‑making Collaborative, cross‑functional team environment Opportunity to work on modern data infrastructure and scalable systems Ability to influence and improve data engineering best practices Strong visibility into how data drives business outcomes What You’ll Do 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 Qualifications What You Bring 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 Additional Information Company Benefits Optimal Work-Life Balance: Benefit from a schedule with no evening or weekend work – enjoy your weekends for relaxation and personal time Childcare & Family Support: Receive up to $5,000 annually in childcare reimbursement to ease the balancing act of work and family & Exclusive access to comprehensive fertility treatment coverage to financially support your family‑building journey Stay Fit for Free: Join our FREE weekly group workouts and keep your health and energy levels at their peak Company Events & Social Hours: Enjoy regular happy hours and company‑wide events to celebrate achievements and build community with fellow employees Padres Tickets: Catch a Padres game with exclusive access to season long raffle drawings in the RIVO ticket section. Go Padres! Daily Perks: Savor FREE coffee, energy drinks, and snacks – fueling your productivity and satisfaction! Parking & Commute Made Easy: Say goodbye to commuting hassles and high gas prices – enjoy a company‑paid parking or MTS pass Dedication Incentives: Opportunity to earn more money with our perfect attendance incentive – your dedication and reliability deserve recognition Generous Time Off: Recharge and live your best life with company paid holidays and PTO each year Comprehensive Health Coverage: Benefit from medical, dental, and vision plans with a 70/30 cost share—because your well‑being is our priority Secure Your Future: Take advantage of our 401(k) plan with employer matching to invest in your future with confidence We offer a comprehensive compensation and benefits package where you will be rewarded based on your performance and recognized for the value you bring to the business. A reasonable estimate of the salary range for this job is $105,000.00 to $130,000.00. Individual salaries within those ranges takes into account the wide range of factors that are considered in making compensation decisions including but not limited to education; experience and training; licensure and certifications; knowledge and skill sets; and other business and organizational needs. 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. #J-18808-Ljbffr Jobr