Analytics Engineer; Mid-Level or Senior

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is seeking a Analytics Engineer to enhance the Boeing Test & Evaluation (BT&E) cyber test capability in Seattle, WA.

The selected candidate will partner with multiple business functions, understand data needs, and deliver high-impact dashboards and metrics. This role dominates end-to-end data workflows, from gathering requirements with stakeholders to designing robust data transformation pipelines and creating actionable BI dashboards. The ideal candidate thrives at the intersection of data engineering and business intelligence, enabling data-driven decisions across the organization.

Our teams are currently hiring for a broad range of experience levels including Mid-Level or Senior Analytics Engineers.

Position Responsibilities:

• Collaborate with business partners to gather data requirements, define KPIs, and translate business needs into technical data solutions

• Design, build, and maintain scalable ETL/ELT pipelines to ingest and transform raw data into clean, reliable datasets for reporting

• Develop and maintain dashboards, reports, and visualizations that communicate metrics, trends, and status updates using BI tools (e.g., Power BI, Tableau, Looker)

• Build and optimize data models and semantic layers that power self-service analytics and dashboard exploration

• Monitor and improve data quality, resolve pipeline errors, and enforce governance and documentation standards

• Support ongoing improvement of data processes and automation to reduce manual tasks and accelerate insights

• Provide technical guidance to data analysts and support cross-functional teams in interpreting and utilizing dashboard results

Basic Qualifications (Required Skills/Experience):

• Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement

• 3+ years of experience in data engineering, analytics engineering, or business intelligence roles building data pipelines and dashboards

• Strong SQL expertise with the ability to write optimized queries for large datasets and transform data for reporting

• Experience with ETL/ELT workflows and data transformation, including common tools or orchestration frameworks

• Hands-on experience building dashboards and reports with one or more BI platforms (e.g., Power BI, Tableau, Looker)

• Proven ability to work cross-functionally with business stakeholders to understand needs and deliver actionable data products

Preferred Qualifications (Desired Skills/Experience):

• Level 4: 5 or more years' related work experience or an equivalent combination of education and experience

• Experience with cloud data warehouses and platforms (e.g., Snowflake, Big Query, Redshift)

• Familiarity with data transformation and semantic modeling tools (e.g., dbt)

• Experience with programming/scripting languages (e.g., Python) for data manipulation and automation

• Knowledge of data governance, quality frameworks, and monitoring solutions

• Prior experience in agile development processes and working with version control

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Union:

This is a union-represented position.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a…