Resume and JobRESUME AND JOB
Boeing logo

Analytics Engineer (Mid-Level or Senior)

Boeing

Software and Technology Jobs

Analytics Engineer (Mid-Level or Senior)

full-timePosted: Dec 17, 2025

Job Description

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, BigQuery, 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 number of programs that provide for both paid and unpaid time away from work. 

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations. 

Summary Pay Range for Mid-level (Level 3): $131,750 - $178,250

Summary Pay Range for Senior (Level 4): $164,050 - $221,950


Applications for this position will be accepted until Jan. 16, 2026


Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift


Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Locations

  • Seattle, Washington, United States

Salary

131,750 - 221,950 USD / yearly

Skills Required

  • SQLintermediate
  • ETL/ELT workflowsintermediate
  • BI platforms (Power BI, Tableau, Looker)intermediate
  • data pipelinesintermediate
  • dashboardsintermediate
  • data transformationintermediate
  • data modelingintermediate
  • data qualityintermediate
  • cross-functional collaborationintermediate

Required Qualifications

  • 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 (experience)
  • 3+ years of experience in data engineering, analytics engineering, or business intelligence roles building data pipelines and dashboards (experience)
  • Strong SQL expertise with the ability to write optimized queries for large datasets and transform data for reporting (experience)
  • Experience with ETL/ELT workflows and data transformation, including common tools or orchestration frameworks (experience)
  • Hands-on experience building dashboards and reports with one or more BI platforms (e.g., Power BI, Tableau, Looker) (experience)
  • Proven ability to work cross-functionally with business stakeholders to understand needs and deliver actionable data products (experience)

Preferred Qualifications

  • Level 4: 5 or more years' related work experience or an equivalent combination of education and experience (experience)
  • Experience with cloud data warehouses and platforms (e.g., Snowflake, BigQuery, Redshift) (experience)
  • Familiarity with data transformation and semantic modeling tools (e.g., dbt) (experience)
  • Experience with programming/scripting languages (e.g., Python) for data manipulation and automation (experience)
  • Knowledge of data governance, quality frameworks, and monitoring solutions (experience)
  • Prior experience in agile development processes and working with version control (experience)

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

Benefits

  • general: competitive base pay and variable compensation opportunities
  • general: health insurance
  • general: flexible spending accounts
  • general: health savings accounts
  • general: retirement savings plans
  • general: life and disability insurance programs
  • general: paid and unpaid time away from work

Target Your Resume for "Analytics Engineer (Mid-Level or Senior)" , Boeing

Get personalized recommendations to optimize your resume specifically for Analytics Engineer (Mid-Level or Senior). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Analytics Engineer (Mid-Level or Senior)" , Boeing

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AerospaceDefenseManufacturingCORP

Answer 10 quick questions to check your fit for Analytics Engineer (Mid-Level or Senior) @ Boeing.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

Boeing logo

Analytics Engineer (Mid-Level or Senior)

Boeing

Software and Technology Jobs

Analytics Engineer (Mid-Level or Senior)

full-timePosted: Dec 17, 2025

Job Description

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, BigQuery, 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 number of programs that provide for both paid and unpaid time away from work. 

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations. 

Summary Pay Range for Mid-level (Level 3): $131,750 - $178,250

Summary Pay Range for Senior (Level 4): $164,050 - $221,950


Applications for this position will be accepted until Jan. 16, 2026


Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift


Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Locations

  • Seattle, Washington, United States

Salary

131,750 - 221,950 USD / yearly

Skills Required

  • SQLintermediate
  • ETL/ELT workflowsintermediate
  • BI platforms (Power BI, Tableau, Looker)intermediate
  • data pipelinesintermediate
  • dashboardsintermediate
  • data transformationintermediate
  • data modelingintermediate
  • data qualityintermediate
  • cross-functional collaborationintermediate

Required Qualifications

  • 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 (experience)
  • 3+ years of experience in data engineering, analytics engineering, or business intelligence roles building data pipelines and dashboards (experience)
  • Strong SQL expertise with the ability to write optimized queries for large datasets and transform data for reporting (experience)
  • Experience with ETL/ELT workflows and data transformation, including common tools or orchestration frameworks (experience)
  • Hands-on experience building dashboards and reports with one or more BI platforms (e.g., Power BI, Tableau, Looker) (experience)
  • Proven ability to work cross-functionally with business stakeholders to understand needs and deliver actionable data products (experience)

Preferred Qualifications

  • Level 4: 5 or more years' related work experience or an equivalent combination of education and experience (experience)
  • Experience with cloud data warehouses and platforms (e.g., Snowflake, BigQuery, Redshift) (experience)
  • Familiarity with data transformation and semantic modeling tools (e.g., dbt) (experience)
  • Experience with programming/scripting languages (e.g., Python) for data manipulation and automation (experience)
  • Knowledge of data governance, quality frameworks, and monitoring solutions (experience)
  • Prior experience in agile development processes and working with version control (experience)

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

Benefits

  • general: competitive base pay and variable compensation opportunities
  • general: health insurance
  • general: flexible spending accounts
  • general: health savings accounts
  • general: retirement savings plans
  • general: life and disability insurance programs
  • general: paid and unpaid time away from work

Target Your Resume for "Analytics Engineer (Mid-Level or Senior)" , Boeing

Get personalized recommendations to optimize your resume specifically for Analytics Engineer (Mid-Level or Senior). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Analytics Engineer (Mid-Level or Senior)" , Boeing

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AerospaceDefenseManufacturingCORP

Answer 10 quick questions to check your fit for Analytics Engineer (Mid-Level or Senior) @ Boeing.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.