Senior Analytics Engineer I

Rocket Lab Corporation•Long Beach, CA

8d•Onsite

About The Position

Rocket Lab's IT team is responsible for how our global teams access information and run operations across our computer systems, networks, and devices. Our hardworking IT team is a group of flexible problem-solvers working in a fast-paced environment, but who also thrive under the challenge of supporting all of our proprietary systems and people, from finance to launch operations. SENIOR ANALYTICS ENGINEER I 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