Senior Analytics Engineer I

Rocket Lab Corporation • Long Beach, CA

8d • $101,600 - $127,000 • Onsite

About The Position

Based onsite at Rocket Lab’s global headquarters in Long Beach, CA, the Senior Analytics Engineer I, as part of the Business Intelligence team, is responsible for driving strategic initiatives with measurable business impact, architecting scalable data solutions, and shaping team technical direction. This role balances hands-on technical work including mentoring (70%), cross-functional collaboration (20%), and continuous learning (10%). You'll design data architectures, establish engineering standards, lead analytical initiatives, and mentor team members while delivering enterprise-level solutions that drive business strategy and operational excellence.

Requirements

• 5+ years of experience and a bachelor's degree or equivalent experience with a high school diploma or GED (9+ total years)
• Demonstrated expertise in analytics engineering or data platform development
• Expert-level data modeling and architecture design across multiple subject areas
• Proficiency with ETL/ELT tools: Azure Data Factory, SSIS, Databricks, and dbt or modern open-source tools
• Hands-on Kubernetes experience (deployment, cluster management, best practices)
• Advanced Power BI development (DAX, M Query, TDML, semantic layers)
• Cloud platform experience (Azure or AWS)
• Proven technical leadership with ability to establish standards and mentor engineers
• Agile/Scrum methodology experience
• US citizenship is required, due to program requirements

Nice To Haves

• Advanced SQL skills including execution plans, indexing, and performance tuning
• Power Automation experience such as PowerApps and Power Automate
• Microsoft Azure/AWS Certifications or any other related to BI Data Warehouse
• Cloud computing and deployment experience.
• Excellent communication skills with ability to partner with Director-level stakeholders
• Excellent Problem Solving and Analysis skills.

Responsibilities

• Design and build scalable data architectures using advanced SQL, dbt frameworks, and multiple ETL/ELT tools (Azure Data Factory, SSIS, Databricks or modern open-source tools)
• Implement metadata-driven pipelines at scale and lead data modeling efforts across multiple subject areas
• Optimize performance at enterprise scale using cloud/on-prem advanced features, Python, and streaming/real-time data patterns
• Lead analytical initiatives and design comprehensive KPI frameworks that influence business strategy and establish RBAC/RLS security
• Design semantic layers and enterprise data models using TDML, Power BI (DAX, M Query), Tableau, and Grafana
• Design and implement data governance frameworks including metadata management, privacy policies, and retention standards
• Lead incident response for data quality issues, conduct root cause analysis, and deliver remediation plans
• Conduct peer reviews of SQL, dbt, Python, DAX, and M Query code, ensuring adherence to best practices
• Mentor junior engineers on engineering best practices, performance optimization, and visualization design principles
• Partner with Director-level stakeholders and business leaders to translate requirements into technical solutions
• Participate in sprint planning, technical design reviews, architecture discussions, and roadmap planning
• Other duties as reasonably required

Benefits

• top tier medical HMO
• PPO
• 100% company-sponsored medical HSA plan option
• dental and vision coverage
• 3 weeks paid vacation
• 5 days sick leave per year
• 11 paid holidays per year
• flexible spending and dependent care savings accounts
• paid parental leave
• disability insurance
• life insurance
• access to a 401(k) retirement plan with company match
• Discounted employee stock purchase program
• subsidized EV charging stations
• onsite gym
• food and drinks
• other discounts

What This Job Offers

• Job Type: Full-time
• Career Level: Senior