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Boeing jobs

DevSecOps Data Engineer

$127,500 - 185,150
Boeing
Crystal Drive, Crystal
$127,500 - 185,150
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Product
Exp Level icon
Exp Level
Senior
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
We require candidates to have a Bachelor's degree in a relevant field along with 2-5 years of experience in data engineering or software development. You should have a minimum of 3 years of experience in data engineering, specifically with building pipelines in AWS Glue or relational databases. Additionally, experience with version control via GitLab, CI/CD pipelines, and containerization tools such as Docker, Kubernetes, or Terraform is also necessary. Proficiency in Spark and other big data processing frameworks, as well as languages like Python and SQL, is vital. You must also have experience with relational databases (e.g., MySQL, PostgreSQL, Aurora), and be familiar with ETL processes and tools like Informatica or AWS Glue. It’s important that you can translate business requirements into technical specifications and work collaboratively across functions. Finally, the position is hybrid, requiring onsite presence one day per week, and applicants must be able to obtain a U.S. Security Clearance.

Technologies

Big Data
CI/CD
GitLab
Informatica
Matrix

Responsibilities

In this role, you will take part in all aspects of agile software development, which includes design, implementation, and deployment. You will be expected to design, develop, and deploy modular data pipelines while maintaining cloud software solutions according to best practices. Your tasks will also include ensuring data storage and processing functions operate efficiently in line with company security policies. Additionally, you will regularly review existing systems and propose improvements, as well as interact with clients to provide cloud support and make recommendations based on their needs.

Description


We at Boeing are on a mission to innovate and collaborate in order to make the world a better place. We are dedicated to creating an environment for every team member that is welcoming, respectful, and inclusive, with substantial opportunities for professional growth. As we seek a highly motivated Advanced Information Technologist – Data Engineer to join our expanding Data Analytics Engineering & Integration team, we envision someone who will be a thought leader in designing, implementing, managing, and scaling data pipelines. This role demands a self-driven, detail-oriented individual who excels at problem-solving and effective communication within dynamic settings. While prior experience with large-scale data platforms, cloud computing, and software development is preferable, we value the candidate's ability to drive business growth and optimization through intelligent data management. Please note that we are unable to offer relocation assistance for this position, and travel may be needed up to 25% of the time. At Boeing, we strive to provide a comprehensive rewards package that attracts and retains top talent, including competitive pay and various benefits such as health insurance, retirement savings plans, and more. Our commitment to diversity is integral to our company's ethos, and we encourage applicants from all backgrounds to apply.
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How many DevOps jobs are in the United States?

Currently, there are 895 DevOps openings. Check also: Cloud jobs, AWS jobs, Azure jobs, GCP jobs, Kubernetes jobs, Docker jobs, Terraform jobs - all with salary brackets.

Is the US a good place for DevOps?

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Which companies are hiring for DevOps jobs in the United States?

Sperasoft, Bain Magique, Archon Systems Inc, Journey Freight International inc, Puter Technologies Inc., Ontario One Call, HAPLY Robotics Inc. among others, are currently hiring for DevOps roles in the United States.

The company with most openings is Leidos as they are hiring for 88 different DevOps jobs in the United States. They are probably quite committed to find good DevOps.