Data Engineer

Data Engineer

Company:

The Boeing Company

Boeing Defense, Space and Security (BDS) is seeking a Advanced Information Technologist – Data Engineer to join our growing Data Analytics Engineering & Integration team in Ridley Park, PA, Seattle, WA, Arlington, VA or Hazelwood, MO! 

This team is tasked with transforming the way BDS data is sourced, managed, and utilized to unlock insights to drive business growth and optimization.  The team supports data needs for internal stakeholders, across BDS business programs and functions, and is tasked with utilizing data to inform and improve the full lifecycle of BDS products.

As an Advanced Information Technologist – Data Engineer, you will be a thought leader in how to design, implement, manage, and scale data pipelines in support of the BDS Data Analytics Platform leveraging modern cloud architecture design, hybrid cloud technologies, data migration technologies, and others.  You will be responsible for crafting data pipelines, and deploying them in a cloud infrastructure. 

This role requires a resourceful, self-driven, outcome-oriented individual with meticulous attention to detail and the ability to partner, execute, and communicate skillfully, while solving complex problems in dynamic environments.  The ideal candidate will have experience with large scale data platforms, cloud computing, hybrid clouds, software development, and requirements management.

Position Responsibilities:

• Participates in all aspects of agile software development, including design, implementation, and deployment.

• Design, develop, and deploy modular data pipelines

• Develop and maintain cloud software and solutions in accordance with best practices

• Ensure efficient functioning of data storage and process functions in accordance with company security policies and best practices in cloud security

• Regularly review existing systems and make recommendations for improvements

• Interact with clients, provide cloud support, and make recommendations based on client needs

This position is hybrid. This means that the selected candidate will be required to perform 1 day per week onsite at one of the listed location options.  This is at the hiring team’s discretion and could potentially change in the future.

Basic Qualifications (Required Skills/Experience):

• Technical Bachelor's degree

• 3+ years of experience in data engineering, building pipelines in AWS Glue or relational databases

• 2+ Experience with version control, Gitlab, CI/CD pipelines, and containerization tools (e.g., Docker, Kubernetes).

• 3+ Experience with Spark and other big data processing frameworks.

• Proficiency in languages such as Python and SQL.

• Experience with relational databases (e.g., MySQL, PostgreSQL, Aurora)

• Experience of ETL (Extract, Transform, Load) processes and tools like Informatica or AWS Glue

• Experience with IaaC and tools such as Terraform

• Experience translating business requirements into technical specifications

• Experience with cross-functional collaboration

Preferred Qualifications (Desired Skills/Experience):

• Experience with AWS GovCloud

• Experience in the aviation industry or other regulated industries

• Experience of working within a multinational matrix management environment / structure and a large-scale, sophisticated international organization

Relocation:

Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

Drug-Free Workplace:

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

Shift:

This position is for 1st shift

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.

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