Senior Analytics Engineer I

Rocketlab; Long Beach (CA); On-site; USD 101,600 - 127,000; Full time

Benefits offered by this job

Top tier medical HMO, PPO & 100% company-sponsored medical HSA plan

3 weeks paid vacation and 5 days sick leave

401(k) retirement plan with company match

Job summary

Rocketlab is seeking a Senior Analytics Engineer I to join the Business Intelligence team in Long Beach, CA. This role is pivotal in architecting data solutions and driving business strategies with measurable impacts. You’ll be expected to design data architectures, optimize performance at scale, and mentor junior engineers.

The position requires 5+ years of experience, technical expertise in analytics engineering, and the ability to collaborate effectively with business leaders. The base pay range is $101,600 – $127,000 USD, coupled with a robust benefits package.

Qualifications

• 5+ years of experience and a bachelor's degree or equivalent experience.
• Technical expertise in data modeling and architecture design.
• Proven technical leadership with the ability to mentor engineers.

Responsibilities

• Design and build scalable data architectures using SQL and ETL/ELT tools.
• Lead analytical initiatives and design comprehensive KPI frameworks.
• Mentor junior engineers on engineering best practices.

Skills

Analytics engineering or data platform development

Data modeling and architecture design

ETL/ELT tools: Azure Data Factory, SSIS, Databricks

Cloud platforms (Azure or AWS)

Technical leadership

Agile/Scrum methodology

Education

Bachelor's degree or equivalent

5+ years of experience

Tools

Power BI development (DAX, M Query)

Kubernetes

Job description

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.

WHAT YOU’LL GET TO DO:

• Data Engineering & Architecture
  • 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
• Business Intelligence & Analytics
  • 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
• Data Governance & Quality
  • 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
• Other Collaborations
  • 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

YOU’LL BRING THESE QUALIFICATIONS:

• 5+ years of experience and a bachelor’s degree or equivalent experience with a high school diploma or GED (9+ total years)
• Technical expertise in:
  • Analytics engineering or data platform development
  • Data modeling and architecture design across multiple subject areas
  • ETL/ELT tools: Azure Data Factory, SSIS, Databricks, and dbt or modern open‑source tools
  • Kubernetes experience (deployment, cluster management, best practices)
  • Power BI development (DAX, M Query, TDML, semantic layers)
  • Cloud platforms (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

THESE QUALIFICATIONS WOULD BE NICE TO HAVE:

• 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

This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas.

Compensation and Benefits

Base Pay Range (CA Only): $101,600 – $127,000 USD.

Base salary is just one component of our total rewards package. Employees may also receive company equity and access to a robust benefits package including:

• Top tier medical HMO, PPO & 100% company‑sponsored medical HSA plan option, dental and vision coverage
• 3 weeks paid vacation and 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
• 401(k) retirement plan with company match
• Discounted employee stock purchase program, subsidized EV charging stations, onsite gym, food and drinks, and other discounts

Eligibility for benefits may vary based on employment status. Benefit programs are subject to change at the company’s discretion.

Equal Employment Opportunity

Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Security Eligibility

For U.S. offices only: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Applicants may also be required to provide a job‑specific training.

For New Zealand offices only: Background checks will be undertaken prior to any employment offers. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States’ International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union, or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality.

Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at [e-mail]. This dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days.