Job Closed
This listing is no longer active.
A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity.
Manufacturing Engineer
Location
California
Posted
100 days ago
Salary
$111.4K - $182.9K / year
Seniority
Mid Level
Job Description
Manufacturing Engineer
Boeing
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. Spectrolab, Inc., a wholly owned subsidiary of The Boeing Company, seeks a Manufacturing Engineer to serve as Solar Panel and Array Process Manufacturing Engineer on our Manufacturing Process Engineering team based in Sylmar, CA. You will have the opportunity to work on projects covering the entire range of Spectrolab's products from large and small solar cell assemblies, panels and arrays for a variety of space applications using the world's highest efficiency solar cells to airborne searchlight gimbal systems and ground-based high-intensity illuminated test systems. You will contribute to development programs and help shape our next-generation improvements in product, process, and tooling design. Position Responsibilities: - Develop and implement production processes. - Generate and maintain process documentation to ensure correct and consistent process application in production. - Analyze and evaluate design/build concepts and producible definitions. - Participate in gated process and product reviews. - Present PFMECA readiness information to both internal and external customers for process and training purposes. - Lead and implement manufacturing plans. - Assist in developing and maintaining manufacturing training requirements. - Support definition of required tooling methodologies to ensure consistent process application - Conduct producibility and variation analyses to ensure that manufacturing process capability matches requirements. - Assist in providing producibility information for inclusion in project plans and helps document producibility best practices. - Identify leading edge technologies, materials, or process improvements and targeted automation to improve ergonomics, safety, cost, and schedule. - Develop and monitor process pareto items to identify and correct drift as well as identify and implement continuous improvement to product and process. - Resolve technical problems of significant impact to performance, cost, and schedule. This position is expected to be fully onsite. This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. § 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. Basic Qualifications (Required Skills/Experience): - Experience in manufacturing or production engineering role (3+ years for level 3, 5+ years for level 4). - Assembly or mechanical experience. Preferred Qualifications (Desired Skills/Experience): - General Array Integration and Test (AI&T) operations support. - Solar Array Design and Manufacturing experience. - Maintaining production procedure and documentation. - Experience with Lean events (AIW, 3P etc.) - Experience with Factory Automation business capabilities such as machine tool integration or fabrication. - Experience in RCCA. - Experience with Database design or database development (SQL preferred). - Experience as process trainer. - Familiarity with AS9100, NASA, AIAA, and other Aerospace standards. - Experience in hands on troubleshooting and resolving process, test, or software issues. Typical Education & Experience: Level 3: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Level 4: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. 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. 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. 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: Level 3: $111,350 - $150,650 Level 4: $135,150 - $182,850. Applications for this position will be accepted until Mar. 23, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To 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. Export Control Details: US based job, US Person required Relocation Relocation assistance is not a negotiable benefit for this position. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 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.
Benefits
- 401(K), Adoption Assistance, Childcare benefits, Commuter benefits, Dental insurance, Disability insurance, Employee stock purchase plan, Family medical leave, Flexible Spending Account (FSA), Generous parental leave, Generous PTO, Health insurance, Job training & conferences, Life insurance, Charitable contribution matching, Paid volunteer time, Paid holidays, Paid sick days, Performance bonus, Tuition reimbursement, Vision insurance, Mental health benefits, Fertility benefits, Pension, Personal development training, Apprenticeship programs, Bereavement leave benefits
Related Guides
Related Categories
Related Job Pages
More Analytics Engineer Jobs
Analytics Engineer
JobgetherWe use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As an Analytics Engineer, you will play a key role in building and maintaining the data foundation that drives insights, reporting, and decision-making across the organization. You will work closely with data engineers, analysts, and business stakeholders to transform raw data into accurate, actionable datasets. The role involves: - Designing scalable data models - Implementing metrics aligned with business logic - Ensuring high standards of performance, testing, and documentation - Enabling data-driven strategies across operations, risk, customer insights, and regulatory reporting Success in this role comes from a combination of technical expertise, analytical thinking, and collaboration across cross-functional teams. The position offers an opportunity to contribute to a fast-growing, innovative environment where your work directly impacts business outcomes. Accountabilities: - Build and maintain dbt models and transformation pipelines that deliver high-quality, business-ready datasets. - Implement and maintain metrics and definitions aligned with documented business logic. - Partner with analysts and business stakeholders to clarify requirements and translate complex questions into data models. - Ensure analytics solutions meet standards for performance, testing, documentation, and reliability. - Participate in code reviews, design discussions, and contribute to continuous improvement of analytics engineering practices. - Support cross-functional teams by enabling data access and insights for operational, strategic, and regulatory needs. Qualifications - Bachelor’s degree in Computer Science, Engineering, Business, or a related field. - 1–3 years of experience in analytics engineering, business intelligence, or related data roles. - Strong SQL skills and familiarity with dimensional modeling concepts. - Experience with transformation tools such as dbt, and modern data warehouses like Snowflake, BigQuery, or Databricks SQL. - Analytical mindset with attention to detail and comfort operating in a regulated environment. - Ability to work independently on defined problems and incorporate feedback effectively. - Experience with Databricks, Jira, or Notion is a plus. - Excellent communication and collaboration skills, with the ability to translate technical insights for business stakeholders. Benefits - Competitive salary range of $130,146 – $162,000 per year. - Comprehensive medical, dental, and vision coverage. - Health Savings Account (HSA) and Flexible Spending Accounts (FSA) options. - Life insurance, long-term and short-term disability coverage. - Supplemental benefits including Hospital Indemnity, Accident, and Critical Illness coverage. - 401(k) retirement plan with company matching. - Generous paid time off, including vacation, sick leave, and 11 paid holidays. - Opportunities for professional development, flexible work arrangements, and a collaborative, innovative culture.
Analytics Engineer – Pleno
ASAASSimplificamos o recebimento de cobranças para pessoa física, MEIs e grandes empresas.
• Construir e otimizar a modelagem de dados com dbt/SQL, seguindo boas práticas de desenvolvimento e governança • Garantir governança, qualidade, documentação, escalabilidade e impacto dos dados no negócio • Participar de discussões com áreas de negócio para entender regras e necessidades • Trabalho conjunto com engenheiros de software para compreender estrutura, frequência de atualização, limitações, contexto de negócio e particularidades técnicas das fontes de dados • Implementar testes de qualidade de dados • Monitorar e dar manutenção de pipelines para garantir disponibilidade, performance e integridade dos dados de seu domínio de negócio • Traduzir necessidades de negócios em soluções alinhadas com as ferramentas e estratégias de plataforma de dados • Suporte para o time de dados, referente ao entendimento da plataforma de dados e as boas práticas • Contribuir para a construção da plataforma de dados do Asaas
Data Warehouse ETL Developer
ConduentDurch unsere engagierten Mitarbeiter liefert Conduent unternehmenskritische Dienstleistungen und Lösungen im Auftrag von Fortune 100 Unternehmen und über 500 Regierungen - und schafft so außergewöhnliche Ergebnisse für unsere Kunden und die Millionen von Menschen, die auf sie zählen. Sie haben die Möglichkeit, sich persönlich zu entfalten, etwas zu bewirken und Teil einer Kultur zu sein, in der Individualität jeden Tag wahrgenommen und geschätzt wird. Conduent ist ein Arbeitgeber, der Chancengleichheit fördert und Bewerber für alle Positionen berücksichtigt, unabhängig von Rasse, Hautfarbe, Glauben, Religion, Abstammung, nationaler Herkunft, Alter, Geschlechtsidentität, Geschlechtsausdruck, Geschlecht/Geschlecht, Familienstand, sexueller Orientierung, körperlicher oder geistiger Behinderung, medizinischer Zustand, Verwendung eines Blindenhundes oder Diensttiers, Militär-/Veteranenstatus, Staatsbürgerschaftsstatus, Grundlage genetischer Informationen oder jede andere gesetzlich geschützte Gruppe. Für US-Bewerber: Menschen mit Behinderungen, die angemessene Vorkehrungen benötigen, um sich um eine Anstellung bei Conduent zu bewerben oder um diese zu konkurrieren, können solche Vorkehrungen beantragen.
• Design, develop, and deploy ETL mappings, workflows, and sessions using Informatica PowerCenter. • Extract data from heterogeneous source systems (e.g., Oracle, SQL Server, flat files, SAP) and load into target data warehouse environments. • Collaborate with business analysts and data architects to understand data requirements and translate them into efficient ETL solutions. • Optimize ETL processes for performance, scalability, and maintainability. • Conduct data validation, reconciliation, and troubleshooting to ensure data quality and integrity. • Maintain ETL documentation, including data flow diagrams, technical specifications, and process design documents. • Participate in code reviews, unit testing, and UAT support. • Monitor ETL jobs and workflows, identify bottlenecks, and implement improvements. • Provide production support and resolve data-related issues in a timely manner.
Analytics Consulting Manager
Komodo HealthIn our mission to reduce the burden of disease, our Healthcare Map™ answers healthcare's most complicated questions.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role exists on the Marmot Enabled Analytics (MEA) team to ensure the delivery of high-quality analytics products and services to our clients. The Analytics Consulting Manager plays a crucial role in driving client satisfaction, business growth, and innovation within the company seeking to demonstrate the value of Marmot (Komodo’s AI-enabled analytic platform). Looking back on your first 12 months at Komodo Health, you will have: - Successfully delivered complex analytics projects on time and within budget, exceeding client expectations. - Built strong, collaborative relationships with key client stakeholders, resulting in high levels of client satisfaction and repeat business. - Implemented process improvements that enhanced the efficiency and effectiveness of the MEA team. - Developed the skills and capabilities of team members, fostering a high-performing and engaged team culture. - Contributed to the growth of the company by identifying and pursuing new business opportunities within existing client accounts. - Demonstrated thought leadership in healthcare analytics, both internally and externally, through presentations, publications, and industry events. - Deepened your domain expertise across multiple key areas of interest to our clients, including but not limited to areas such as market landscaping, patient journey, line-of-therapy based analytics, segmentation & targeting, and analytical support for Custom Data Deliveries, “Digital” Audience Quality and other “advanced” analytics. You will accomplish these outcomes through the following responsibilities: - Manage the end-to-end delivery of analytics projects (~20-30 per year), from scoping and planning to execution and delivery. - In addition, manage the end-to-end delivery of year-long, on-going, Custom deliverables (3-5 per year). - Collaborate with cross-functional teams, including Data Science, Engineering, and Product Management, to ensure alignment on project goals and deliverables. - Serve as the primary point of contact for clients, addressing any concerns or issues that may arise during the project lifecycle. - Monitor project progress and performance, proactively identifying risks and implementing mitigation strategies as needed. - Stay abreast of industry trends and best practices in healthcare analytics, incorporating new insights and technologies into our service offerings. Qualifications - Bachelor's or Master's (preferred) degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent practical experience. - 4-5 years of experience in healthcare analytics or related field, with a proven track record of delivering analytics solutions to clients. - Strong project management skills, with experience leading cross-functional teams and managing client relationships. - Excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical audiences. - Proficiency in data analysis tools and programming languages such as SQL, Python, or R. Requirements - Judgement & Creativity: Applies AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas. - Curiosity & Initiative: Demonstrates curiosity and initiative in exploring new AI tools and workflows relevant to their role. - Integration & Productivity: Brings a reflexive AI mindset and uses AI as a natural part of their process to iterate, research, and deliver better work. - Regularly leverages AI tools such as Notion AI, Perplexity, Claude, Descript, Runway, Midjourney, or Microsoft Copilot to improve speed, clarity, or creative output. Benefits - Comprehensive health, dental, and vision insurance. - Flexible time off and holidays. - 401(k) with company match. - Disability insurance and life insurance. - Leaves of absence in accordance with applicable state and local laws and regulations and company policy. Company Description At Komodo Health, our mission is to reduce the global burden of disease. We believe that smarter use of data is essential to this mission. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago.
