Boeing’s Digital Analytics and System Health (DASH) team in Hazelwood, Missouri is seeking a Senior AWS Software Data Engineer to help design, implement, and scale cloud-based data services. This on-site role focuses on data governance, warehousing, and large-scale digital analytics to support Boeing Global Services, with leadership across the end-to-end lifecycle of software data products.
Location
Hazelwood, MO (onsite)
Compensation
USD 160,650 - 217,350 per year
Responsibilities
- Lead end-to-end design, development, testing, and maintenance of cloud data solutions that meet industry, customer, safety, and regulatory standards.
- Review, analyze, and translate customer requirements into initial software data product designs.
- Coordinate development, maintenance, enhancement, and optimization of data products and functionalities for system integrations.
- Develop, document, and maintain architectures, requirements, and designs for software data products.
- Debug and steer resolution of issues to ensure reliability and efficiency of data products.
- Research and implement current and emerging technologies, tools, frameworks, and regulatory changes relevant to software development.
- Develop, monitor, and improve software data processes, tools, and key performance metrics aligned with organizational goals and industry benchmarks.
- Lead execution and documentation of software data research and development projects.
- Consult on software domains, system-specific issues, processes, and regulations.
Requirements
- Bachelor's Degree
- Ability to obtain a U.S. Security Clearance; U.S. citizenship required
- 8+ years of experience in Data Engineering and/or Software Development
- 5+ years of experience designing, implementing, and integrating big data platforms
- 5+ years of experience designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud)
- 3+ years of experience deploying and managing distributed systems on at least one cloud platform (AWS, Azure, or GCP)
- 3+ years of experience configuring APIs for data ingestion
Technologies
- AWS, S3, SQS, Lambda, DynamoDB, OpenSearch, RedShift
- Tanzu (formerly PCF), DocumentDB
- Python, JavaScript, SQL
- Jira, Git
- Azure, Google Cloud Platform (GCP)
Benefits
- Health insurance
- Flexible spending accounts
- Health savings accounts
- Retirement savings plans
- Life and disability insurance programs
- Paid time away from work
- Unpaid time away from work
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 is met as outlined in our policies.
CodeVue Coding Challenge
To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.
Pay & Benefits
At Boeing, the Total Rewards package aims to attract, engage, and retain top talent, including a competitive base pay and opportunities for variable compensation. Eligible employees may enroll in a range of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and paid time away from work.
Salary Details
Summary pay range: $160,650 - $217,350
Export Control and Other Compliance
This position must 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.
Relocation
This position offers relocation assistance based on candidate eligibility.
Security Clearance
Ability to obtain a U.S. Security Clearance is required, with interim and/or final U.S. Secret Clearance post-start.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
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.
