Engineering Jobs in Saint Ann Mo Flexible

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.

Join Boeing, a leader in aerospace innovation, as an ExperiencedMission Systems Test Engineer (Level 3) supporting a Phantom Works Fixed Wing Proprietary Program located in St Louis, MO.

You will be joining a talented team where you will be responsible for executing the Mission Systems test plan. The successful candidate will implement a test infrastructure to maximize automation using the latest available digital tools. You will perform verification/ validation activities to deliver Advanced Mission System Capabilities to our warfighter. This includes automated test tool creation in addition to hands-on testing in a lab environment of Mission Systems equipment including the latest suite of sensors, communication systems, and weapons.

In this role, you will be joining a cross-functional team integrating Advanced Mission Systems Capabilities as part of a very exciting and critically important development effort. You will have the opportunity to operate in an agile development environment, mature our products through the development lifecycle, work on next generation open-architecture model-based designs, and collaborate across multiple disciplines.

The day-to-day activities of this position will be a combination of traditional design engineering, collaborating with cross-functional peers, and presenting technical challenges and solutions to leadership. Frequent interaction with program leadership, customers, and industry partners during critical design phases will be key elements of this position. This position will provide the candidate an opportunity to develop their engineering skills with potential growth into a leadership role.

Position Responsibilities:

• Implement a test infrastructure to maximize automation using the latest available digital tools
• Perform Mission Systems verification/validation test integrating multiple hardware and software components
• Support testing efforts of component and subsystem groups
• Execute Mission Systems integration testing
• Create/ update and employ automated test tools and scripts
• Work in a lab environment to perform verification of the interfaces between multiple Mission Systems hardware and software components
• Define necessary lab infrastructure updates required to support Mission Systems verification test
• Research specific technology advances for potential application to company business needs
• Test and validate system functionality and performance to ensure designs meet operational and functional requirements.
• Document newly discovered hardware of software anomalies; reports test metrics to all stakeholders
• Continuously assess and update engineering processes for improvement.

This position is expected to be 100% onsite. The selected candidate will be required to work on-site at one of the listed location options.

This position requires the ability to obtain a US Secret Security Clearance for which the US Government requires US Citizenship.

• A final U.S. Secret Clearance Post-Start is required

This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only.

Basic Qualifications (Required Skill/Experience):

• Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry
• Level 3: 5+ years of work-related experience with a bachelor's degree OR 3+ years of work-related experience with a master's degree

Preferred Qualifications (Desired Skills/Experience):

• Experience supporting a Proprietary Program
• Experience executing in an Agile work environment and implementing Agile Methodologies
• Experience working in Cameo, or similar Model Based Systems Engineering tools
• Experience with modern software development methodologies to include DevSecOps and CI/CD pipelines
• Experience with Mission Systems Open Architecture Standards
• Experience across multiple phases of the product life-cycle
• A final U.S. top secret clearance preferred.

Conflict of Interest:

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

Typical Education/Experience:

Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, 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.

Relocation:

This position offers relocation based on candidate eligibility.

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.

Shift:

This position is for 1st shift.

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.

Boeing offers a comprehensive benefits package including generous Paid Time Off (PTO), flexible work environment, paid parental leave, 401k matching, extremely generous tuition assistance for earning advanced degrees, and paid medical leave programs.

Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features:

• Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting
• Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts.

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.

Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range:

Level 3: $112,200 - $151,800

Applications for this position will be accepted until Mar. 22, 2026

Export Control Requirements:

This is not an Export Control position.

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only.

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.

About Us:

Snyder Engineering, Inc., is a leading provider of structural and custom steel fabrication solutions for commercial, industrial, and infrastructure projects. With a commitment to quality, safety, and client satisfaction, we are looking for an experienced and detail-oriented Steel Fabrication Project Manager to join our growing team. The office locaion address is 101 S Hanley Rd, #1090, Clayton, MO 63105.

Position Overview

We are hiring a Junior Project Manager to support and manage steel fabrication projects from planning through completion. This role is ideal for someone with early project management experience who is ready to take on more responsibility and grow into a full PM role. (Also considering candidates for Project Manager Trainee, those who are interested but have less background in this field.)

Key Responsibilities

•            Coordinate project activities under the guidance of senior PMs

•            Manage RFIs, submittals, change orders, and project documentation

•            Monitor schedules, budgets, and material tracking

•            Communicate with customers, vendors, drafting, and shop teams

•            Assist with problem‑solving and issue resolution during fabrication

•            Prepare reports, updates, and project status summaries

•            Begin managing small projects independently as skills develop

Qualifications

•            1–3 years of project management or project coordination experience

•            Experience in construction, steel fabrication, or manufacturing preferred

•            Strong attention to detail and ability to stay organized

•            Excellent communication and follow‑through

•            Ability to read or learn to read construction drawings

•            Proficiency with Microsoft Office; scheduling software experience is a plus

Career Path

This position is intended to transition into a full Project Manager role as experience and capability grow.

Snyder Engineering, Inc., does not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is based on qualifications, merit, and business need.

Senior Traveling Installation Technician / Field Team Lead

Industrial Refrigeration / Controlled Environment Systems

Direct Hire | Nationwide Travel | Home Every Weekend

No C2C or third-party recruiters.

A growing engineering and manufacturing company specializing in controlled environment and cold storage systems is seeking a Senior Traveling Installation Technician / Field Team Lead to lead installation projects across the United States.

This is a senior-level field leadership role for someone with strong refrigeration and electrical experience (208–460V) who has led installation crews and can manage projects from installation through startup.

Why Techs Like This Role

• Home every weekend

• Trips typically 3–4 nights

• Paid travel time + overtime

• $2/hr premium while traveling

• All travel expenses covered (company credit card provided)

• Annual bonus typically 7–15%

Travel is nationwide with most schedules running Mon–Wed, Tues–Thurs, or Mon–Thurs. Travel mix is approximately 65% driving / 35% flying.

Requirements

• 5+ years HVAC/R or refrigeration experience

• Cold storage or refrigeration systems experience required

• Experience working with 208–460V systems

• EPA Certification

• Experience leading field crews or installation teams

• Ability to read electrical schematics and wiring diagrams

• Valid driver’s license and ability to travel

Experience with supermarket refrigeration, walk-ins, controls wiring, brazing, or system startup/commissioning is highly preferred.

CO2 (R-744) experience would be a grand slam!

About the Role:

We’re looking for an experienced Operations Managerto lead and oversee operations for our client's Oil, Gas, and Chemical (OGC) division. This leadership role is responsible for guiding project teams, driving operational performance, and ensuring projects are delivered safely, on schedule, and within budget.

Responsibilities:

• Lead and manage construction operations across multiple OGC projects in the Midwest region
• Supervise and mentor Project Managers, supporting them throughout the full project lifecycle
• Act as a primary liaison for clients, subcontractors, and key stakeholders to maintain strong partnerships and resolve project issues
• Champion a strong safety culture by enforcing safety standards and conducting regular site reviews
• Ensure projects meet quality standards and comply with industry regulations and specifications
• Oversee project financial performance, including budgeting, cost tracking, and forecasting
• Coordinate staffing and resources across concurrent projects to maintain efficiency
• Partner with executive leadership on strategic planning, business development, and client growth initiatives
• Track operational performance through KPIs and implement improvements where needed

Qualifications:

• 10+ years of experience in refining or heavy industrial construction environments
• Proven leadership experience managing large teams and complex projects
• Strong knowledge of refining, petrochemical, or industrial construction operations
• Experience working within union environments, including labor relations and collective bargaining agreements
• Bachelor’s degree in Construction Management, Engineering, Business Administration, or a related field (or equivalent combination of training and industry experience).

EEO Policy:

Allied Resources complies with all Equal Employment Opportunity (EEO) laws and regulations. We do not discriminate based on age, race, religion, color, sex, national origin, marital status, genetic information, sexual orientation, gender identity, disability, veteran status, or any other protected category.

Overview

We are seeking a dynamic and detail-oriented Commercial Door Estimator to join our growing team. In this vital role, you will be responsible for accurately assessing project requirements, preparing comprehensive cost estimates, and collaborating closely with clients, suppliers, and project teams to ensure successful project execution. Your expertise will help drive profitable bids and foster strong relationships within the property management and construction industry. This position offers an exciting opportunity to contribute to large-scale commercial projects and smaller repair and replacement jobs, by delivering precise estimates and satisfying customers daily.

Salary Range $65,000-$75,000 + performance bonus

Estimating & Bidding

• Responding to requests for estimates and scheduling site visits
• Prepare accurate cost estimates and proposals for commercial projects
• Obtain pricing from vendors and suppliers
• Submit bids and proposals to contractors and customers

Project Coordination

• Work closely with project managers and technicians to ensure accurate scope
• Provide detailed project handoffs after jobs are awarded
• Assist with change orders and revised pricing as needed

Customer Communication

• Communicate with general contractors, property managers, and customers
• Answer technical questions regarding door systems, hardware, and code compliance
• Provide value engineering options when appropriate

Preferred Experience

• 2+ years estimating in construction, commercial doors, hardware, or a related trade
• Knowledge of Division 8 (doors, frames, and hardware) is a strong plus

Preferred Knowledge

• Hollow metal doors and frames
• Wood doors
• Commercial hardware
• Automatic door operators
• Fire-rated door assemblies
• ADA compliance
• Access control integration

Benefits:

• 401(k)
• 401(k) matching
• Flexible schedule
• Fuel reimbursement
• Health insurance
• Paid time off

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Power Distribution and Make Ready Designer

Overhead Utility Pole Design • Joint-Use Engineering • NESC-Compliant Make-Ready Work

Location: Kalamazoo, MI / Remote (U.S.)

Are you an experienced Power Distribution Designer or Make-Ready Designer looking to support meaningful utility engineering projects? Join a team that values accuracy, collaboration, and long-term professional growth.

ABOUT THIS OPPORTUNITY
We are seeking skilled Make-Ready Designers (primary focus) and Power Distribution Designers to support engineering programs for major electric and telecom utilities. Ideal candidates bring demonstrated experience in overhead utility pole design, NESC application, clearance assessment, pole loading analysis, and construction package development. Useful design platforms include DDS, Katapult, O-Calc, GIS, MicroStation, AutoCAD, or client-specific drafting systems.

In this role, you will review field/walkout data, evaluate existing attachment conditions, model pole loading, determine make-ready requirements, and prepare accurate construction-ready deliverables. Applicants without utility pole design or distribution engineering experience will not be considered.

Note: This position is remote, but new hires must attend a 2-week paid, in-person orientation at our Perrysburg, OH headquarters.

WHAT YOU WILL DO
• Execute overhead distribution and make-ready design work orders while meeting quality, time, and budget expectations
• Apply established engineering design standards, NESC requirements, and internal processes
• Perform end-to-end make-ready, joint-use, and/or general distribution design
• Conduct permitting and easement research (pole ownership, ROW, property rights, approvals)
• Collaborate with team members to resolve design challenges and ensure accurate deliverables
• Use design software such as AutoCAD, MicroStation, DDS, PoleForeman, O-Calc, Katapult, or client systems
• Perform quality control reviews when required
• Support additional duties as assigned

TOP COMPETENCIES & SKILLS
Make-Ready Engineering, Joint-Use Design, Pole Loading Analysis, Utility Pole Design, Overhead Distribution Design, NESC Compliance, Utility Engineering, Pole Attachments, Make-Ready Construction, Aerial Design, Utility Coordination, Right-of-Way Permitting, Pole Replacement Design, Make-Ready Estimates, Field Survey Interpretation, CAD for Utility Design, GIS for Utility Design, Electrical Distribution Design, Utility Construction Standards, Telecommunications Make-Ready

WHAT WE’RE LOOKING FOR
• High school diploma or equivalent required; an associate degree or higher in engineering, drafting, or a related field is preferred
• Minimum 2 years of experience in make-ready engineering, joint-use design, or electric power distribution design (3+ years strongly preferred)
• Proven experience in utility pole design, including NESC application, clearance analysis, pole loading concepts, and preparation of construction-ready design packages
• Proficiency with CAD or MicroStation; experience with DDS, Katapult, O-Calc, or similar utility design platforms is strongly preferred
• Solid understanding of power distribution construction practices, with the ability to learn utility-specific proprietary systems efficiently
• Must hold a valid driver’s license, maintain active auto insurance, and pass all required background, drug, and MVR screenings
• Authorization to work in the United States is required
• Willingness to travel occasionally, including minimal overnight travel when project needs require
• Ability to work a standard Monday–Friday schedule aligned to Eastern Time, with Central/Mountain/Pacific adjustments as appropriate

PHYSICAL REQUIREMENTS
• Ability to work for extended periods using a computer keyboard, monitor, and telephone
• Ability to prepare and analyze data, review detailed information, and work with design tools requiring close vision, distance vision, color vision, peripheral vision, depth perception, and focus adjustment
• Ability to communicate effectively through oral and written channels

ABOUT SIGMA TECHNOLOGIES
Sigma Technologies is a growing engineering and design firm with 500+ team members across 30+ states. For over 25 years, we’ve supported major power and telecommunications utilities with work that directly impacts communities nationwide. Our core values — Safety, Honesty, Truth, and Decency — shape how we work and who we hire. We are TeamSigma™.

*To learn more about working at Sigma, view our video and career page.
* If you do not have Power Design experience, please refer to our other open positions: *While Designer openings are listed in multiple locations, you only need to apply to one, as they are remote roles.

WHAT WE OFFER
We want our Associates to stay healthy, happy, and secure. We offer a positive work environment with supportive coworkers, managers, and leaders, plus:

• No-cost monthly healthcare plan option for employees
• Competitive pay
• Medical, dental, and vision plans with up to 80% of the premium sponsored by Sigma
• 401(k) plan with matching contributions up to 5% of salary
• Paid holidays, vacation, and sick time
• Education and professional licensing assistance programs

This job advertisement is intended to outline the primary responsibilities and requirements of the role. It is not all-inclusive. Additional duties may be assigned as needed. This ad does not constitute an employment agreement, and job requirements may change based on organizational needs.

Pay is commensurate with experience and education. Sigma is an equal opportunity employer and does not discriminate based on race, color, gender, sexual preference, gender identity, age, religion, national origin, disability, genetic information, veteran/military status, or any classification protected by law.

PM22
#Remote

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