Data Engineer (Mid-Level or Senior)

Company:

We are Boeing Global Services (BGS) Engineering team creating and implementing innovative technologies that make the impossible possible and enabling the future of provide engineering design and support including aftermarket modifications and are innovating to make product and services safety even stronger. Join us and put your passion determination and skill to work building the future! #TheFutureIsBuiltHere #ChangeTheWorld

The Boeing Company is looking for Data Engineers to join our team in Seattle Washington. This position supports the development and sustainment of cloud data infrastructure for the Safety Data Analytics (SDA) program in Boeing Global Services (BGS) Training Digital & Analytics (TD&A). The position will be fully on-site.

Our teams are currently hiring for a broad range of experience levels including; Mid-Level and Senior Data Engineers.

In this role you will be part of a growing team of Data Engineers that is working to build and maintain data infrastructure that processes large amounts of commercial airplane flight data making curated datasets available for data consumers through a Delta Lake in Azure Databricks and a data warehouse in Google Cloud BigQuery. You will partner directly with Architects Data Scientists Software Developers and Business Intelligence Analysts to define technical requirements for highly scalable streaming and batch data pipeline features; then you will design implement test and support these features. An attention to detail and obsession with quality is a must because the data products that our Data Engineering team produces serve both internally facing and externally facing applications.

A successful candidate will be a self-starter who understands the importance of collaborating with partner teams to fully define functional requirements before starting technical work. This role requires prior experience managing and analyzing data at scale in Azure Databricks and/or Google Cloud Platform (GCP) along with a dependable aptitude for Python/Spark Containers and DevOps to deliver scalable Cloud Data Engineering solutions. Prior experience managing and analyzing aerospace flight data (QAR/CPL CVR/FDR and/or ADS-B) at scale is highly desirable. Candidates with ETL and workflow orchestration in both GCP and Azure Databricks are desired as our team will support an existing container-based GCP data infrastructure until our migration to Azure Databricks is complete.

The Safety Data Analytics program is a multi-disciplinary team of data professionals Analytical Insights Managers and Pilots who work together to identify and communicate data-driven insights to external aerospace customers with the end goal of making flying us as our Data Engineering team creates a new generation of scalability and efficiency for data consumers in an Azure Databricks Delta Lake.

Position Responsibilities:

• Support the development and improvement of streaming batch data pipelines in Azure Databricks and/or Google Cloud Platform to provide curated datasets of airplane flight data to partner teams
• Partner with internal stakeholders to define desired user experiences with data; use these requirements to design orchestration strategies data models and partition strategies that optimize performance and cost of data curation and access
• Use Python PySpark and/or Scala to programmatically analyze reduce transform and load datasets that are too large for in-memory computer-based workflows
• Develop Extract Transform Load (ETL) and analytics processes that consume data from: (1) unstructured files and sources (2) SQL / NoSQL datastores and (3) messaging queues / streams
• Develop and maintain CI/CD pipelines used to automate DevOps tasks
• Build test and deploy container workers for serverless scalable ETL workflow orchestration
• Implement testing and alerts that identify undesirable performance in codebases and data pipelines
• Analyze large cloud-based datasets to identify disposition and explain the root cause for unanticipated data trends
• Develop and maintain partnerships while working in a cross-functional team of Data Engineers Data Scientists Software Developers and Business Intelligence Analysts
• Implement access-control and security systems for compliance with data governance policies
• Exercise critical thinking and innovative problem solving
• Ensure commitments and service levels are achieved or exceeded
• Demonstrate the Boeing Behaviors in a deliberate and observable way
• Occasional travel may be required

Basic Qualifications (Required Skills/Experience):

• 5 years of related work experience
• 3 years of experience developing Python scripts packages and notebooks to analyze and process large datasets
• 3 years of experience developing complex SQL queries to interact with relational datasets
• 2 years of experience working in Azure Google Cloud Platform or Databricks
• 1 years of workplace experience using Apache Spark Apache Beam and/or Dask for distributed processing of large cloud-based datasets
• Ability to support our global customer base with a flexible work schedule which may include late or early meetings

Preferred Qualifications (Desired Skills/Experience):

• 7 years of related work experience or an equivalent combination of technical education and experience
• Education/experience typically acquired through advanced technical education (e.g. Associates or Bachelor)
• 3 years of experience using Git for version control of software
• 2 years of experience modeling developing and maintaining SQL or NoSQL datastoresand maintaining analytics datastores (Databricks Delta Tables or Google BigQuery preferred)
• 2 years of experience developing and maintaining ETL workflow orchestration using tools like Apache Airflow GCP Workflows or Databricks Workflows
• 2 years developing and maintaining CI/CD pipelines
• 1 years of experience with PySpark or Scala
• Experience working with aerospace datasets including timeseries flight data (QAR/CPL CVR/FDR and/or ADS-B) at scale is highly desirable
• Experience working in a role that develops Data Engineering solutions as part of a cross-functional team that includes Data Engineering Data Science Software Engineers and/or Business Intelligence Analysts

Drug Free Workplace:

Boeingis a Drug Free Workplace 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.

Total Rewards and Pay Transparency:

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 Mid-Level: $113900 - $154100

Summary pay range Senior: $136000 - $184000

Language Requirements:

Education:

Relocation:

Export Control Requirement:

Safety Sensitive:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

Shift:

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