CrawlJobs Logo

Data Analytics Quality Engineer

boeing.com Logo

Boeing

Location Icon

Location:
United States , Berkeley

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Employment contract

Salary Icon

Salary:

83300.00 - 135700.00 USD / Year
Save Job
Save Icon
Apply Position

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. Boeing Defense, Space & Security (BDS) has an exciting opportunity for a Quality Engineer - Data Analytics (Associate or Mid-Level) to join our team located in Berkeley, MO! The Data Analytics Quality Engineer works with cross functional teams, build and program processes, and collaborates with stakeholders and management. The activities will include, but are not limited to Collective Analysis, Defect Mapping, Value Stream Team Support, Root Cause Corrective Action, Process Monitoring. This position will require strong knowledge and use of data analysis.

Job Responsibility:

  • Research contractual and Boeing Quality Management System requirements for applicability to specific proposals and program processes and documentation
  • Develop sections of quality metrics, design and production certification plans to ensure compliance with contractual, Company and regulatory requirements
  • Analyzes capability assessments to support supplier selection activities
  • Participates in various reviews to ensure quality attributes are incorporated into product designs
  • Perform data analysis to ensure manufacturing and test readiness
  • Provides material review dispositions for non-conformances
  • Analyzes non-conformance trends to evaluate effectiveness of corrective actions
  • Compiles performance reports and other statistical data to ensure specified processes capability levels are achieved
  • Works under general supervision
  • Represents Quality function on team activities to integrate contractual and Boeing Quality Management System requirements into all aspects of proposals and program processes and documentation
  • Provides Quality interpretation of requirements
  • Develops quality metrics, design and production certification plans for small programs to ensure compliance with contractual, Company and regulatory requirements
  • Conducts capability assessments and process validations to support supplier selection activities
  • Participates in various reviews to ensure quality attributes are incorporated into product designs
  • Performs analysis, tests and process audits to ensure manufacturing and test readiness
  • Provides material review dispositions for non-conformances
  • Analyzes non-conformance trends to evaluate effectiveness of corrective actions
  • Recommends corrective actions to address non-conformances
  • Performs bench-marking and other forms of analysis to ensure specified processes capability levels are achieved
  • Works under general direction

Requirements:

  • Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science
  • 1+ year of experience in Aerospace, Manufacturing, Quality, or experience in a regulated industry
  • 1+ year of experience collecting, organizing and analyzing data
  • summarizing findings
  • and developing conclusions
  • Experience in business intelligence or data warehousing development
  • Software programming skills and experience of programming languages such as R, Python, MATLAB, Java, C, or C++
  • Experience in applying machine learning approaches to large data sets

Nice to have:

  • 1+ year of experience working in a Quality Engineering job role
  • Experience developing root cause corrective actions
  • Certified in Six Sigma / Lean Principles
  • Various ASQ certification (i.e. SPC implementation, data analysis, etc.)
  • Certified Analytics Professional
  • Experience developing data visualization tools (e.g. Tableau or similar)
  • Knowledge of BI & analytic tools such as Tableau, Power BI and the platforms that support them
  • Experience managing large data sets, including SQL, eCommerce platforms, and data science methods
What we offer:
  • Generous company match to your 401(k)
  • Industry-leading tuition assistance program pays your institution directly
  • Fertility, adoption, and surrogacy benefits
  • Up to $10,000 gift match when you support your favorite nonprofit organizations
  • health insurance
  • flexible spending accounts
  • health savings accounts
  • retirement savings plans
  • life and disability insurance programs
  • programs that provide for both paid and unpaid time away from work

Additional Information:

Job Posted:
May 06, 2026

Expiration:
May 11, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Icon
Boeing - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Data Analytics Quality Engineer

Director, Data Engineering & Analytics

We are seeking a proven Data and Analytics leader to run our data team. This rol...
Location
Location
United States , Washington, DC
Salary
Salary:
165000.00 - 295625.00 USD / Year
arcadia.com Logo
Arcadia
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Expert Data & Analytics leader with demonstrated experience processing and analyzing large-scale datasets (billions of records)
  • Deep expertise with Snowflake as a data platform, including performance optimization, cost management, and architecting for scale
  • Hands-on experience with modern data stack: dbt for transformation, Hex for analytics, and Fivetran/Airbyte for data ingestion
  • Have built and led Data & Analytics teams at high-growth SaaS companies, specifically those dealing with high-volume data processing
  • Experience with utility data, billing systems, or similar high-volume transactional data is highly valued
  • 12+ years in the workforce with significant experience in data-intensive environments
  • Top-notch technical skills covering both data and quantitative techniques: data facility, descriptive analytics, and predictive modeling
  • SQL and Python are a must, with demonstrated ability to write optimized queries for large-scale data processing
  • Experience with data governance, security, and compliance in handling sensitive customer data
Job Responsibility
Job Responsibility
  • Build, lead, and scale a successful data organization
  • Oversee the processing and analysis of several million utility bills per month, ensuring data pipeline reliability, accuracy, and scalability
  • Ensure data quality and that we are building our products to give our customers the insight they need
  • Build a multi-year strategy around data infrastructure, enterprise data modeling, and processing capabilities
  • Build a framework for data investments that ensures we are appropriately balancing R&D with products that deliver strong return on investment
  • Lead the optimization and evolution of our Snowflake-based data architecture to handle exponential data growth
  • Own the enterprise unified data model and architecture that will power all of Arcadia’s applications and use cases
What we offer
What we offer
  • competitive benefits and equity component to the package
  • Fulltime
Read More
Arrow Right

Data & Analytics Engineer

As a Data & Analytics Engineer with MojoTech you will work with our clients to s...
Location
Location
United States
Salary
Salary:
90000.00 - 150000.00 USD / Year
mojotech.com Logo
MojoTech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of experience in Data Engineering, Data Science, Data Warehousing
  • Strong experience in Python
  • Experience building and maintaining ETL/ELT pipelines, data warehouses, or real-time analytics systems
  • BA/BS in Computer Science, Data Science, Engineering, or a related field or equivalent experience in data engineering or analytics
  • Track record of developing and optimizing scalable data solutions and larger-scale data initiatives
  • Strong understanding of best practices in data management, including sustainment, governance, and compliance with data quality and security standards
  • Commitment to continuous learning and sharing knowledge with the team
Job Responsibility
Job Responsibility
  • Work with our clients to solve complex problems and to deliver high quality solutions as part of a team
  • Collaborating with product managers, designers, and clients, you will lead discussions to define data requirements and deliver actionable insights and data pipelines to support client analytics needs
What we offer
What we offer
  • Performance based end of year bonus
  • Medical, Dental, FSA
  • 401k with 4% match
  • Trust-based time off
  • Catered lunches when in office
  • 5 hours per week dedicated to self-directed learning, innovation projects, or skill development
  • Dog Friendly Offices
  • Paid conference attendance/yearly education stipend
  • Custom workstation
  • 6 weeks parental leave
  • Fulltime
Read More
Arrow Right

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...
Location
Location
United States , Brooklyn
Salary
Salary:
Not provided
premiumhealth.org Logo
Premium Health
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
  • Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
  • healthcare experience preferred
  • Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
  • Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
  • Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
  • Understanding of healthcare data, including clinical, operational, and financial data models, preferred
  • Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
  • Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
  • Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)
Job Responsibility
Job Responsibility
  • Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
  • Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
  • Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
  • Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
  • Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
  • Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
  • Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
  • Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
  • Implement robust data quality processes, validation, monitoring, and error-handling frameworks
  • Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications
What we offer
What we offer
  • Paid Time Off, Medical, Dental and Vision plans, Retirement plans
  • Public Service Loan Forgiveness (PSLF)
  • Fulltime
Read More
Arrow Right

Data Analytics Engineer

SDG Group is expanding its global Data & Analytics practice and is seeking a mot...
Location
Location
Egypt , Cairo
Salary
Salary:
Not provided
sdggroup.com Logo
SDG
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, Engineering, Information Systems, or related field
  • Hands-on experience in DataOps / Data Engineering
  • Strong knowledge in Databricks OR Snowflake (one of them is mandatory)
  • Proficiency in Python and SQL
  • Experience with Azure data ecosystem (ADF, ADLS, Synapse, etc.)
  • Understanding of CI/CD practices and DevOps for data.
  • Knowledge of data modeling, orchestration frameworks, and monitoring tools
  • Strong analytical and troubleshooting skills
  • Eagerness to learn and grow in a global consulting environment
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable and reliable data pipelines following DataOps best practices
  • Work with modern cloud data stacks using Databricks (Spark, Delta Lake) or Snowflake (Snow pipe, tasks, streams)
  • Develop and optimize ETL/ELT workflows using Python, SQL, and orchestration tools
  • Work with Azure data services (ADF, ADLS, Azure SQL, Azure Functions)
  • Implement CI/CD practices using Azure DevOps or Git-based workflows
  • Ensure data quality, consistency, and governance across all delivered data solutions
  • Monitor and troubleshoot pipelines for performance and operational excellence
  • Collaborate with international teams, architects, and analytics consultants
  • Contribute to technical documentation and solution design assets
What we offer
What we offer
  • Remote working model aligned with international project needs
  • Opportunity to work on European and global engagements
  • Mentorship and growth paths within SDG Group
  • A dynamic, innovative, and collaborative environment
  • Access to world-class training and learning platforms
  • Fulltime
Read More
Arrow Right

Data Engineer, Enterprise Data, Analytics and Innovation

Are you passionate about building robust data infrastructure and enabling innova...
Location
Location
United States
Salary
Salary:
110000.00 - 125000.00 USD / Year
vaniamgroup.com Logo
Vaniam Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of professional experience in data engineering, ETL, or related roles
  • Strong proficiency in Python and SQL for data engineering
  • Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform
  • Practical understanding of Medallion architectures and layered data design
  • Familiarity with modern data stack tools, including: Spark or PySpark
  • Workflow orchestration (Airflow, dbt, or similar)
  • Testing and observability frameworks
  • Containers (Docker) and Git-based version control
  • Excellent communication skills, problem-solving mindset, and a collaborative approach
Job Responsibility
Job Responsibility
  • Design, build, and operate reliable ETL and ELT pipelines in Python and SQL
  • Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture
  • Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless
  • Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets
  • Develop schemas, tables, and views optimized for analytics, APIs, and product use cases
  • Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains
  • Maintain clear and consistent documentation for datasets, pipelines, and operating procedures
  • Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core
  • Partner with product and innovation teams to build repeatable processes for onboarding new data streams
  • Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational)
What we offer
What we offer
  • 100% remote environment with opportunities for local meet-ups
  • Positive, diverse, and supportive culture
  • Passionate about serving clients focused on Cancer and Blood diseases
  • Investment in you with opportunities for professional growth and personal development through Vaniam Group University
  • Health benefits – medical, dental, vision
  • Generous parental leave benefit
  • Focused on your financial future with a 401(k) Plan and company match
  • Work-Life Balance and Flexibility
  • Flexible Time Off policy for rest and relaxation
  • Volunteer Time Off for community involvement
  • Fulltime
Read More
Arrow Right

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...
Location
Location
United Arab Emirates , Dubai
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in data engineering and data platform development
  • Strong hands-on experience with: AWS Glue
  • Amazon EMR (Spark)
  • AWS Lambda
  • Apache Airflow (MWAA)
  • Amazon EC2
  • Amazon CloudWatch
  • Amazon Redshift
  • Amazon DynamoDB
  • AWS DataZone
Job Responsibility
Job Responsibility
  • Design, develop, and optimize scalable data pipelines using AWS native services
  • Lead the implementation of batch and near-real-time data processing solutions
  • Architect and manage data ingestion, transformation, and storage layers
  • Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
  • Orchestrate complex data workflows using Apache Airflow (MWAA)
  • Develop and manage serverless data processing using AWS Lambda
  • Design and optimize data warehouses using Amazon Redshift
  • Implement and manage NoSQL data models using Amazon DynamoDB
  • Utilize AWS DataZone for data governance, cataloging, and access management
  • Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch
  • Fulltime
Read More
Arrow Right

Head of Quality – Customer Reporting and Data Analytics

As Head of Quality – Customer Reporting and Data Analytics, your primary goal wi...
Location
Location
United States , Miami, FL / Boston
Salary
Salary:
Not provided
everseen.ai Logo
Everseen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in data analytics, business intelligence, or data product management
  • At least 3 years in a leadership or head-of-function role
  • Proven experience delivering data or analytics products to enterprise customers, ideally in retail, AI, or SaaS environments
  • Deep understanding of data quality frameworks, reporting pipelines, and analytics visualization platforms (e.g., Tableau, Power BI, Looker, or similar)
  • Strong familiarity with data engineering workflows (ETL, data modeling, API integrations)
  • Experience leading cross-functional collaboration across product, engineering, and commercial teams
  • Exceptional analytical, strategic thinking, and communication skills
  • Knowledge of retail operations, shrinkage, and loss prevention analytics
  • Proven ability to build scalable reporting and analytics products from concept to market
Job Responsibility
Job Responsibility
  • Build and own the Customer Intelligence Product Line that delivers actionable insights derived from Everseen’s AI platform and integrated third-party data sources
  • Define and maintain data quality and reporting standards to ensure reliable, consistent, and accurate insights for all customer-facing analytics products
  • Collaborate cross-functionally with the Data & Intelligence, Engineering, Research, Operations, and Sales & Marketing teams
  • Champion quality and continuous improvement, ensuring data integrity, performance consistency, and adherence to regulatory or contractual data standards
  • Develop and manage KPIs for intelligence product adoption, customer satisfaction, and product quality
  • Partner with Sales and Customer Success to translate intelligence insights into customer value stories and revenue opportunities
  • Lead a small but growing team of data quality analysts, reporting specialists, and data product managers as the product line scales
  • Fulltime
Read More
Arrow Right

Senior Analytics Engineer

Join Qargo as a Senior Analytics Engineer and turn complex logistics data into c...
Location
Location
Belgium , Ghent
Salary
Salary:
Not provided
qargo.com Logo
Qargo
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive experience in data analytics, BI engineering, or analytics engineering in a SaaS or data-driven environment
  • Strong proficiency in SQL, data modelling, and dashboarding tools (Lightdash, Superset, Tableau, Looker, or PowerBI)
  • Experience with analytics platforms such as Mixpanel and user behavior tracking methodologies is a plus
  • Proven ability to collaborate effectively with multidisciplinary teams (product, engineering, sales, finance)
  • Strong analytical and problem-solving skills, with an eye for scalability and data quality
  • A background in Computer Science, Data Engineering, Statistics, or a related field
  • A proactive mindset with the ability to take ownership of complex problems and guide them to completion
Job Responsibility
Job Responsibility
  • Own and evolve Qargo’s data architecture, ensuring scalable, reliable and high-quality data pipelines
  • Maintain, extend and optimise our in-app Lightdash dashboards, including operational, financial, and performance insights
  • Build and refine internal BI dashboards to support data-driven decision-making across departments
  • Develop account management dashboards that reveal feature adoption, revenue insights, and upsell opportunities
  • Create product and engineering analytics, including feature usage dashboards using Mixpanel or custom-built tracking solutions
  • Lead integration-related reporting, providing visibility on integration health, tenant usage, and performance
  • Build billing and cost-analysis dashboards, including API call cost allocation and tenant-level breakdowns
  • Mentor team members, set best practices, and raise the bar for analytics engineering within Qargo
What we offer
What we offer
  • Real impact and ownership in a growing international scale-up
  • A supportive and collaborative team culture
  • Hybrid working setup with flexibility and trust
  • Opportunities to learn, grow, and expand your technical knowledge
  • Competitive salary and benefits package
Read More
Arrow Right