Red Full Form In Software Engineering Jobs in Usa

Job Title: Engineering Technician (Machine Shop & Fabrication)

Location: West Columbia, SC

Hire Type: Contract to Hire | Full time

Schedule: Mon-Fri 7a-3:30p

Pay Rate: $27/hr

Benefits: Health, Dental, Vision, 401k, PTO

Position Summary

Sterling is seeking a highly skilled Engineering Technician with strong machining, fabrication, and design experience to join our team. This role will support engineering and production initiatives by designing, fabricating, and modifying components, fixtures, and tooling in a machine shop environment. The ideal candidate is a self-starter with extensive hands-on experience in tool and die making, manual machining, and fabrication, capable of working independently while maintaining a strong commitment to safety and quality.

This role will initially be hired as an Engineering Technician III, with the opportunity for promotion to Engineering Technician IV upon transition to a core employee.

Key Responsibilities

• Design, fabricate, and modify tools, fixtures, and custom components to support engineering and production operations.
• Operate and maintain manual machining equipment, including manual lathes, manual mills, and other machine shop tools.
• Perform tool and die making, precision machining, and fabrication work based on engineering drawings and specifications.
• Utilize 3D modeling software to support design, prototyping, and process improvements.
• Develop and edit CNC programs using MasterCam when required to support machining operations.
• Create and present technical documentation, process updates, and project summaries using PowerPoint and Excel.
• Collaborate with engineering teams to design, troubleshoot, and improve mechanical systems, tooling, and fabrication processes.
• Ensure work is performed independently, safely, and in accordance with machine shop best practices and safety standards.
• Maintain a clean and organized machine shop environment and ensure equipment is properly maintained.

Required Qualifications

• 5+ years of experience in a machine shop, tool and die, fabrication, or precision machining environment.
• Associate’s degree or technical certification in Mechanical Engineering Technology, Machining, Tool & Die, or related field.
• Experience supporting engineering prototyping, R&D, or manufacturing process development.
• Experience working in high-precision or prototype fabrication environments.
• Extensive experience operating manual lathes, manual mills, and other machine shop equipment.
• Strong background in tool and die making and custom fabrication.
• Experience using 3D modeling software for mechanical design or component development.
• Proficiency with MasterCam for CNC programming or machining support.
• Strong working knowledge of Microsoft PowerPoint and Excel.
• Ability to read and interpret engineering drawings, blueprints, and technical specifications.

Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.

A fast-growing robotics company is building autonomous systems designed to automate repetitive tasks within the global infrastructure and construction sector. The company’s mission is to help address workforce shortages while accelerating the development of critical infrastructure projects.

Their robotics platforms combine advanced autonomous navigation, cloud software, and intelligent field tools to improve precision and efficiency across construction environments. With a growing fleet of robots already deployed across multiple project sites globally, the company is developing the next generation of automation tools used in areas such as infrastructure development, surveying, energy projects, and large-scale construction.

The company is seeking a Full-stack Developer to design and maintain the software systems that power its robotics ecosystem — including operator dashboards, cloud infrastructure, and applications that interface with robots operating in the field.

This role will contribute to building reliable tools for mission planning, fleet monitoring, and communication between cloud systems and robotic platforms. The position involves close collaboration with robotics engineers, field operations teams, and product stakeholders to ensure the software delivers measurable impact in real-world environments.

Key Responsibilities

• Design and develop full-stack applications for device management, mission control, and fleet coordination.
• Build and maintain mobile applications used by field operators.
• Develop desktop applications used to interface with robotic systems.
• Create web dashboards and APIs for mission planning, telemetry visualization, and operational data analysis.
• Integrate cloud infrastructure for data storage, monitoring, and deployment.
• Ensure reliable communication between cloud services and deployed robotic systems.
• Collaborate with robotics, product, and field teams to deliver integrated software functionality.
• Write technical documentation for APIs, system architecture, and software modules.
• Optimize systems for scalability, reliability, and performance in field environments.
• Requirements
• Education
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

Experience

• 4+ years of professional full-stack development experience.
• Strong experience with JavaScript / TypeScript using modern frameworks such as React, Next.js, and Node.js.
• Strong UI/UX development experience using modern CSS frameworks.
• Experience building mobile applications using React Native.
• Experience developing cross-platform desktop applications.
• Production experience with cloud platforms such as AWS including APIs, storage, and deployment pipelines.
• Strong understanding of software architecture, testing methodologies, and performance optimization.
• Proficiency with development tools including Git, issue tracking systems, and CI/CD pipelines.

Soft Skills

• Strong analytical and problem-solving ability.
• Ability to collaborate effectively in a fast-paced engineering environment.
• Strong ownership mindset and communication skills.
• Preferred Qualifications
• Experience working with robotics systems or robotics middleware.
• Familiarity with real-time communication protocols such as WebSockets or MQTT.
• Experience working with IoT devices, connected hardware, or industrial systems.
• Experience working with performance-sensitive or multi-threaded applications.
• Experience with containerization technologies such as Docker or Kubernetes.

JOB SUMMARY

The Engineering Intern will have the opportunity to drive a Research & Development Project, to be decided by the Engineering Manager. The ideal candidate will think logically and enjoy solving problems with creativity, diligence, and achievement. Arcmed offers a great work environment, professional development, challenging careers, and competitive compensation packages.

Our Strategy and Purpose

• We provide technology and supply chain solutions for the design and manufacture of precise fluid handling components for diagnostic and analytical instruments.
• We improve patient outcomes by helping solve the world’s toughest diagnostic and analytical challenges.
• We will be the recognized leader in helping engineers, scientists, and doctors to solve the world’s toughest diagnostic and analytical challenges.
• We always act with intention and drive to achieve our purpose.
• Teamwork, collaboration, and diverse opinions make us stronger.
• We are unafraid to make timely decisions, and we empower our people to make decisions, execute them, and move forward.
• We value people and take the initiative and hold themselves accountable.
• Challenging the status quo helps us grow. Look for and call out improvements.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Modify and improve critical components and program PLC for draw down process upgrades.
• Collaborate with the manifold team to assist with design, programming, and fabrication of CNC-milled components for diffusion bonding.
• Study the existing products to gain an understanding of how Arcmed supports industry.
• Work with internal stakeholders to determine areas of improvement.
• Merge the functional intent of the product with various upgrades to create a project proposal.
• Drive project proposal to a Go/No-Go decision.
• Deliver final presentation to Board of Directors outlining project efforts, results, and lessons learned.

Health & Safety:

• Report and take required action regarding injuries, incidents, medical, and accidents required by policy.
• Make the health, safety, protection of rights, and the development of all employees your primary responsibilities.
• Effectively manage medical and first aid emergencies.
• Follow all agency safety/medical-related policies and procedures.
• Follow fire evacuation and disaster procedures correctly and on time.
• Report unsafe situations immediately; ensuring safety is imperative.
• Ensure pertinent emergency telephone numbers are readily available.
• Report symptoms and signs of communicable diseases immediately.
• Consistently use universal precautions.
• Report any incident that could potentially result in negative reactions from the community, law enforcement officers, and other agencies to the supervisor immediately.

EDUCATIONAL REQUIREMENTS, QUALIFICATIONS, and TRAININGS

• Currently enrolled in an Engineering program.
• Engineering degree, Mechanical or Electrical preferred.
• Recommended to be a Junior or Senior with experience in Product Design and Manufacturing.
• Interpersonal skills.

COMPUTER AND SOFTWARE REQUIREMENTS

• Microsoft: Office 365; SharePoint; Teams; Visio; and OneNote preferred.
• Experience with CAD software (preferably SolidWorks)
• Ability to operate media equipment such as tablets, smartphones, and other electronic equipment.
• Ability to work with general office equipment.
• Ability to work with and understand databases is a must, and the ability to learn technical skills.

PHYSICAL REQUIREMENTS & WORK ENVIRONMENT

• Shall have essential physical skills; be able to run, squat, stoop/bend, kneel, climb stairs, and lift at least 50 pounds (or ¼ own body weight).
• Shall have adequate vision, reading, writing, and documentation skills, and hearing to perform the essential functions of the job.
• Must have enough endurance to perform tasks over long periods of time.
• Will be engaged in speaking, sitting, walking, driving, listening, and in communicating both orally and in writing while performing his or her duties.
• Must be able to listen and respond to questions and instructions.

The qualifications, physical demands, and work environment described herein are representative of those an employee will encounter and must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities.

Arcmed is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

This document does not create an employment contract, implied or otherwise, other than an "at will" relationship.

The above-noted job description is not intended to describe in detail the variety of tasks that may be assigned, but rather to give the incumbent a general sense of the responsibilities and expectations of their position. As the nature of business demands change, so, too, may the essential functions of this position.

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.

The Boeing Company is looking for a Senior Digital Engineer – Full Stack & Systems Architecture to join our team in Charleston, SC; El Segundo, CA; Huntsville, AL; Mesa, AZ; Oklahoma City, OK, Philadelphia, PA; or Berkeley, MO.

Boeing Test & Evaluation (BT&E) generates enormous volumes of data, but data alone does not create insight. We are building a Digital Engineering capability focused on transforming test intent into reusable knowledge through intuitive applications, scalable systems, and thoughtful architecture.

As a Digital Engineer – Full Stack & Systems Architecture, you will sit at the intersection of engineering workflows, software systems, and cloud platforms. Your mission is to empower BT&E engineers to work differently by designing and delivering digital products that shorten feedback loops, reduce friction, and accelerate learning from every test event.

This is not a traditional backend or data‑engineering role. You will design end‑to‑end solutions, working from initial understanding of engineer needs, to shaping application architecture, to implementing full‑stack solutions that integrate data, automation, and cloud services. You will partner closely with BT&E, BCA, BDS, and Wisk/Autonomy engineers to modernize how test data is accessed, explored, and operationalized across Boeing.

If you enjoy systems thinking, building products engineers actually want to use, and architecting platforms that scale across programs and clouds, this role is for you.

Position Responsibilities:

Digital Product & Application Development

• Design and develop full stack applications that improve test and evaluation workflows, decision making, and engineering productivity

• Translate ambiguous engineering problems into clear digital solutions, balancing usability, performance, and scalability

• Develop front end and backend services using modern frameworks (e.g., React, Node.js, Python, .NET)

• Design and implement APIs and service interfaces that enable integration across test systems, analytics platforms, and enterprise tools

Systems Architecture & Cloud Engineering

• Architect end to end systems spanning applications, data services, and cloud infrastructure

• Evaluate and select cloud services across AWS and Azure based on cost, usability, scalability, and long term maintainability

• Implement infrastructure as code using Terraform, CloudFormation, ARM, or Bicep to support repeatable, secure deployments

• Design solutions that support multi cloud and hybrid environments as required by program needs

Data Enabled Engineering (as a Platform Capability)

• Design data models and storage solutions that support both transactional systems and analytical workloads

• Build and integrate data services that allow engineers to discover, explore, and reuse test data efficiently

• Collaborate with data scientists and analysts to enable analytics, visualization, and ML workflows without burdening users with infrastructure complexity

DevOps, Reliability & Security

• Build CI/CD pipelines to support rapid iteration, testing, and safe deployment of applications

• Apply SRE principles to ensure reliability, observability, and operational excellence

• Build and maintain observability capabilities—including logs, metrics, and traces—to enable rapid diagnosis, performance optimization, and reliable operation of digital engineering systems

• Partner with security and compliance teams to ensure solutions meet Boeing security, data governance, and regulatory requirements

• Contribute to operational documentation, runbooks, and continuous improvement efforts

Collaboration & Technical Leadership

• Work closely with engineers, product owners, and stakeholders to shape digital roadmaps and technical direction

• Influence architecture and design decisions across programs through systems thinking and engineering judgment

• Collaborate with peers and contribute to a growing Digital Engineering community within BT&E

Basic Qualifications (Required Skills/Experience):

• Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement

• 5+ years of experience developing full stack applications with modern frameworks

• Strong systems thinking skills with experience designing end to end software solutions

• Proficiency in one or more programming languages (JavaScript/TypeScript, Python, C#, or Go)

• Experience deploying and operating applications in cloud environments (Azure and/or AWS)

• Hands on experience with infrastructure as code (Terraform, CloudFormation, ARM/Bicep)

• Working knowledge of CI/CD pipelines, Git, Docker, and Linux

• Experience designing and working with relational databases (e.g., PostgreSQL), including schema design and performance considerations

• Familiarity with security best practices (IAM, secrets management, network controls)

Preferred Qualifications (Desired Skills/Experience):

• Experience designing developer platforms or internal engineering tools

• Background in Digital Engineering, Model Based Systems Engineering (MBSE), or engineering workflow automation

• Cloud certifications (AWS and/or Azure)

• Experience with Kubernetes, serverless architectures, or event driven systems

• Exposure to data pipelines, analytics platforms, or data enabled applications

• Experience working in regulated or safety critical environments

• Understanding of aerospace, test & evaluation, or large scale engineering programs

• Familiarity with ITAR, EAR, DFARS, or similar compliance frameworks

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.

Conflict of Interest:

Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

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: $127,500 – $197,800

Applications for this position will be accepted until Mar. 21, 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

Education

Bachelor's Degree or Equivalent 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.

AI Data & Python Tools Engineer

We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems.

Responsibilities:

• Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks
• Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods
• Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions
• Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability
• Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle

Software Engineering & AI/ML Data, Tools Development

• 3+ years of Python Development with a background in back end services and data processing
• Exposure to AI/ML algorithms
• Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Understanding of LLMs, vector databases, and retrieval systems
• Experience with Model Context Protocol (MCP) integration and server development

Big Data & Cloud Infrastructure

• Knowledge of building and deploying cloud based applications
• Hands-on experience with cloud data platforms (AWS/GCP/Azure)
• Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms)
• Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes
• Knowledge of containerization (Docker/Kubernetes) and infrastructure as code

*Preferred Experience

• Experience building web applications with modern frameworks (React, Vue, or Angular)
• API development and integration experience
• Basic UX/UI design sensibilities for internal tooling
• Experience with real-time data processing and analytics
• Background in building developer tools or internal platforms
• Familiarity with AI/ML operations (MLOps) practices (Experience using airflow)
• Experience building MCP servers and integrating with AI assistants
• Knowledge of structured data exchange protocols and API design for AI systems.

Type: Full Time

Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)

*Relocation assistance can be offered based on individual needs and circumstances*

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Team & Mission

The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.

Role Summary

We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.

What you'll do:

• 
  
• Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
  
• Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
  
• Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
  
• Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
  
• Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
  
• Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
  
• Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.
  

What we're looking for:

• 
  
• BS+ in Computer Science (or related field) or equivalent practical experience.
  
• 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
  
• Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
  
• Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
  
• Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
  
• Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
  
• Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-KK6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

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.

The Boeing Company is looking for a Senior Digital Engineer – Full Stack & Systems Architecture to join our team in Charleston, SC; El Segundo, CA; Huntsville, AL; Mesa, AZ; Oklahoma City, OK, Philadelphia, PA; or Berkeley, MO.

Boeing Test & Evaluation (BT&E) generates enormous volumes of data, but data alone does not create insight. We are building a Digital Engineering capability focused on transforming test intent into reusable knowledge through intuitive applications, scalable systems, and thoughtful architecture.

As a Digital Engineer – Full Stack & Systems Architecture, you will sit at the intersection of engineering workflows, software systems, and cloud platforms. Your mission is to empower BT&E engineers to work differently by designing and delivering digital products that shorten feedback loops, reduce friction, and accelerate learning from every test event.

This is not a traditional backend or data‐engineering role. You will design end‐to‐end solutions, working from initial understanding of engineer needs, to shaping application architecture, to implementing full‐stack solutions that integrate data, automation, and cloud services. You will partner closely with BT&E, BCA, BDS, and Wisk/Autonomy engineers to modernize how test data is accessed, explored, and operationalized across Boeing.

If you enjoy systems thinking, building products engineers actually want to use, and architecting platforms that scale across programs and clouds, this role is for you.

Position Responsibilities:

Digital Product & Application Development

• Design and develop full stack applications that improve test and evaluation workflows, decision making, and engineering productivity
• Translate ambiguous engineering problems into clear digital solutions, balancing usability, performance, and scalability
• Develop front end and backend services using modern frameworks (e.g., React, Node.js, Python, .NET)
• Design and implement APIs and service interfaces that enable integration across test systems, analytics platforms, and enterprise tools

Systems Architecture & Cloud Engineering

• Architect end to end systems spanning applications, data services, and cloud infrastructure
• Evaluate and select cloud services across AWS and Azure based on cost, usability, scalability, and long term maintainability
• Implement infrastructure as code using Terraform, CloudFormation, ARM, or Bicep to support repeatable, secure deployments
• Design solutions that support multi cloud and hybrid environments as required by program needs

Data Enabled Engineering (as a Platform Capability)

• Design data models and storage solutions that support both transactional systems and analytical workloads
• Build and integrate data services that allow engineers to discover, explore, and reuse test data efficiently
• Collaborate with data scientists and analysts to enable analytics, visualization, and ML workflows without burdening users with infrastructure complexity

DevOps, Reliability & Security

• Build CI/CD pipelines to support rapid iteration, testing, and safe deployment of applications
• Apply SRE principles to ensure reliability, observability, and operational excellence
• Build and maintain observability capabilities—including logs, metrics, and traces—to enable rapid diagnosis, performance optimization, and reliable operation of digital engineering systems
• Partner with security and compliance teams to ensure solutions meet Boeing security, data governance, and regulatory requirements
• Contribute to operational documentation, runbooks, and continuous improvement efforts

Collaboration & Technical Leadership

• Work closely with engineers, product owners, and stakeholders to shape digital roadmaps and technical direction
• Influence architecture and design decisions across programs through systems thinking and engineering judgment
• Collaborate with peers and contribute to a growing Digital Engineering community within BT&E

Basic Qualifications (Required Skills/Experience):

• Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
• 5+ years of experience developing full stack applications with modern frameworks
• Strong systems thinking skills with experience designing end to end software solutions
• Proficiency in one or more programming languages (JavaScript/TypeScript, Python, C#, or Go)
• Experience deploying and operating applications in cloud environments (Azure and/or AWS)
• Hands on experience with infrastructure as code (Terraform, CloudFormation, ARM/Bicep)
• Working knowledge of CI/CD pipelines, Git, Docker, and Linux
• Experience designing and working with relational databases (e.g., PostgreSQL), including schema design and performance considerations
• Familiarity with security best practices (IAM, secrets management, network controls)

Preferred Qualifications (Desired Skills/Experience):

• Experience designing developer platforms or internal engineering tools
• Background in Digital Engineering, Model Based Systems Engineering (MBSE), or engineering workflow automation
• Cloud certifications (AWS and/or Azure)
• Experience with Kubernetes, serverless architectures, or event driven systems
• Exposure to data pipelines, analytics platforms, or data enabled applications
• Experience working in regulated or safety critical environments
• Understanding of aerospace, test & evaluation, or large scale engineering programs
• Familiarity with ITAR, EAR, DFARS, or similar compliance frameworks

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.

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

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: $127,500 – $197,800

Applications for this position will be accepted until Mar. 21, 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

Education

Bachelor's Degree or Equivalent 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.

Role: Snowflake Architect

Location: Oakland, CA (San Francisco Bay Area)

Employment Type – Contract to Hire

Job Overview

The Data Analytics and Insights team is seeking an experienced and talented Senior Data Engineer to join our growing team of analytics experts. As a key member of our team, you will play an essential role in the design, development, and maintenance of data pipelines, data products, and analytic products in enterprise snowflake. The ideal candidate will have a strong background in data engineering, with specific expertise in Informatica and Snowflake. This role will involve working closely with our business stakeholders, data analysts, and data scientists to ensure the efficient development and management of our data infrastructure.

You will have a unique opportunity to be at the forefront of the utility industry and gain a comprehensive view of the nation’s most advanced smart grid. It is the perfect role for someone who would like to continue to build upon their professional experience and help advance PG&E’s sustainability goals.

Key Responsibilities

• Develop and optimize cloud-based data storage and processing solutions using Snowflake.
• Design, implement, and maintain robust data pipelines and ETL processes
• Collaborate with Federated teams and other data engineers to understand data requirements and deliver high-quality data solutions.
• Ensure data integrity and security across all data workflows and storage solutions.
• Monitor and troubleshoot data pipelines, addressing any issues promptly to ensure the smooth flow of data.
• Develop reusable and modular stored procedures and scripts for data processing.
• Contribute to the development and implementation of data governance and best practices.
• Monitor and troubleshoot data pipelines to ensure reliability and accuracy.
• Implement best practices for data governance, data quality, and metadata management.

Minimum Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Minimum of 5 years of experience in data engineering or a related role.
• Proven experience with Snowflake is required.
• Knowledge of data warehousing concepts, dimensional modeling, and performance tuning.
• Hands-on experience with ETL tools (e.g., Informatica, Talend, dbt, or custom ETL frameworks).
• Strong proficiency in SQL and database management.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with version control (Git) and CI/CD for data pipelines.
• Familiarity with Big Data technologies such as Hadoop, Spark, and Kafka is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Team & Mission

The Measurement Products team helps advertisers measure the incremental impact of their Pinterest campaigns and make informed investment decisions. We own and operate core measurement products including Pinterest Conversion Lift (PCL) Studies and Brand Lift Studies.

We build the platform these products run on and are evolving it into our nextgen Measurement Hub, an extensible platform that enables faster product iteration, onboarding of new study types, and deeper integration with Pinterest's enterprise data and experimentation systems. Our mission is to measure true incremental impact and translate it into actionable insights for advertisers and partners.

Role Summary

We're seeking a Staff Engineer to lead the architecture and technical direction of the measurement platform behind how advertisers understand the impact of their investment on Pinterest. You'll drive endtoend platform evolution (pipelines, services, correctness, reliability), partner closely with Product and Data Science, and raise the bar on rigor, trust, and operational excellence in ads measurement.

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• Own endtoend architecture and delivery of features for lift measurement products, from design and implementation through rollout and ongoing reliability.
  
• Design, build, and optimize largescale data pipelines that power study setup, experiment execution, and results computation.
  
• Drive AI enablement across the team by building the supporting tooling and processes (CI checks, test strategy, templates), coaching engineers, and ensuring adoption results in sustained improvements to delivery speed and system quality.
  
• Translate measurement methodology into production systems: partner with Data Science to operationalize study design requirements into pipelines, services, tooling, and guardrails.
  
• Build "rigor by default" mechanisms: automated data validation, randomization/holdout integrity checks, imbalance diagnostics, and continuous verification/backtesting.
  
• Raise the bar on data quality and trust: define SLAs, build monitoring and anomaly detection, and lead rootcause analysis for pipeline and study issues.
  
• Mentor and up level engineers, driving strong technical execution and crossfunctional collaboration.
  

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• BS+ in Computer Science (or related field) or equivalent practical experience.
  
• 8+ years of professional software engineering experience, with a focus on dataintensive systems.
  
• Strong proficiency building and operating largescale data pipelines (batch and/or streaming) using Java/Scala/Kotlin or Python, plus SQL.
  
• Experience designing reliable services and APIs, with solid foundations in distributed systems, data modeling, and performance optimization.
  
• Demonstrated ability to transform a team's engineering workflow using AI-from pilot to broad adoption-through tooling, enablement, and change leadership, with clear metrics (cycle time, defect rate, on-call load, incident rate).
  
• Experience in AdTech and measurement products (e.g., conversion lift, brand lift) or adjacent experimentation/analytics platforms.
  
• Working knowledge of experimentation and causal measurement fundamentals (randomization, holdouts, confounders, significance, power).
  
• Practical experience with backtesting, controlled rollouts, and continuous verification for correctness in measurement/analytics systems.
  
• Demonstrated ability to lead large crossfunctional initiatives, drive alignment, and deliver measurable impact through technical leadership.
  

In-Office Requirement Statement:

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• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role
  

Relocation Statement:

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• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-KK6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

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• Bachelor's degree in Mechanical Engineering
  

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• Engineer in Training (EIT)
  
• Working knowledge of Revit software preferred
  
• Strong communication skills both verbal and written
  
• Strong analytical and problem-solving skills
  
• Forward thinking, eager to learn best practices, and contribute with innovative ideas
  
• Displayed ability to learn quickly and driven to broaden knowledge base
  
• Ability to collaborate and work effectively in a variety of teams, including multi-disciplinary teams
  
• Passion for buildings and construction as the focus of this role will be industrial/manufacturing facilities