Engineering Jobs in Itasca Illinois Remote

Terms of Employment

• W2 Contract-to-Hire, 12 Months
• This role operates on a hybrid schedule, requiring three days in-office (Tuesday, Wednesday, and Thursday) and two days remote (Monday and Friday)
• Core working hours between 09:00 and 15:00

Overview

Our client is seeking a Senior Project Manager to manage engineering, construction, outage coordination, testing, and commissioning activities for transmission and substation projects. The successful candidate will oversee Transmission level Protection and Control replacement projects and/or Transmission line projects, ensuring seamless execution through a deep understanding of equipment function and construction sequencing.

Responsibilities

• Manage the full lifecycle of transmission and substation projects, including engineering, construction, and commissioning.
• Coordinate complex outages and system operations to ensure project milestones are met without compromising grid stability.
• Interpret one-line diagrams and technical specifications to understand equipment interfaces and functions.
• Anticipate and mitigate risks related to outages and commissioning sequences.
• Collaborate and communicate effectively with internal teams, including engineering, construction, and system operations.
• Oversee physical construction projects, ensuring adherence to safety and technical standards.

Required Skills & Experience

• STEM degree or a technical degree; however, significant professional experience may complement an arts degree.
• 7+ years of relevant experience.
• Proven utility project management experience, specifically within substation or transmission environments.
• Core technical understanding of Transmission & Substation (T&S) equipment.
• Extensive knowledge of construction and commissioning sequences.
• Hands-on experience managing physical construction projects.
• Strong communication skills for effective team and stakeholder coordination.

Preferred Skills & Experience

• PMP is highly preferred
• Experience specifically with Transmission level Protection and Control replacement.
• High-level awareness of outage and system operations within a utility framework.
• Ability to work effectively within a large team environment

• Develop comprehensive project plans, schedules, and resource allocations.
• Define project scope, goals, milestones, and deliverables in alignment with project success.
• Manage project lifecycle from order hand-off through closeout, ensuring timely execution and customer satisfaction.
  
  

• Lead cross-functional teams and facilitate effective communication among engineering, operations, sales, procurement, and external partners.
• Assign tasks, set expectations, and provide guidance to ensure successful execution.
• Conduct regular project meetings and provide status updates.
  
  

• Identify potential risks and create mitigation strategies.
• Track project issues and drive timely resolution.
• Manage scope changes through structured change order processes.
  
  

• Serve as primary point of contact for project stakeholders and customers.
• Build and maintain strong relationships through timely communication and transparent updates.
• Ensure customer requirements are captured, understood, and delivered.
  
  

• Ensure project deliverables meet engineering, safety, and regulatory standards.
• Conduct project reviews and post-project evaluations to drive continuous improvement.
  
  

• Bachelor’s degree in engineering, business, construction management, or technical field.
• 3–7 years of project management experience preferred. Experience in managing electrical distribution equipment is desired.
• PMP, CAPM, or similar certification is a plus.
  
  

• Strong organizational and time-management skills.
• Excellent communication and interpersonal abilities.
• Proficiency with project management tools (SEG building a custom tool now)
• Ability to lead teams and influence without direct report responsibility.
• Strong Microsoft Excel skills and overall proficiency with data analysis and reporting tools (e.g., Google Sheets, ERP exports, Power BI preferred).
• Strong analytical and problem-solving skills.
• Ability to manage multiple projects and deadlines in a fast-paced environment.
  
  

• Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.
  
  

Position Summary:

The Applications Engineer is responsible for providing technical expertise, process development, and customer support related to industrial machinery. This role bridges engineering, sales, and service by demonstrating machine capabilities, optimizing cutting parameters, and ensuring customers achieve maximum value from their laser systems.

Primary Responsibilities:

• Develop and optimize laser cutting parameters for various metals and material thickness.
• Conduct machine demonstrations, trials, and proof of concept test for prospective customers.
• Troubleshoot cutting quality and process issues.
• Provide on-site and remote training to customers on machine operation, maintenance, and process optimization.
• Develop and document cutting process databases, application notes, and best practice guides.

Secondary Responsibilities:

• Support installation and commissioning at customer sites as needed
• Prepare technical documentation, cutting samples, and reports for customer presentations
• Support trade shows, open houses, and industry events with live demonstration and technical expertise
• Assist in product development by relating customer and application insights to R&D

Position Requirements:

• Bachelor’s degree in mechanical or manufacturing engineering, Materials Science, or a related technical field (Equivalent experience may be considered)
• 5+ Years of experience in laser processing, CNC machinery, or precision metal fabrication
• Hands-on experience with fiber laser products highly preferred
• Knowledge of motion controls systems, optics, and materials sciences is a plus
• Familiarity with CAD/CAM software
• Travel requirement is 25%

HSG is committed to ensuring equal employment opportunities to all qualified persons without regard to race (including associated hairstyles), color, religion, sex, gender identity, sexual orientation, national origin, ancestry, citizenship status, age, marital status, genetic information, military status, unfavorable discharge from military service, order of protection status, pregnancy, arrest record, disability, or any other status protected by applicable law. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. HSG participates in E-Verify and conducts pre-employment drug testing and background checks as part of our hiring process.

We are seeking a qualified Industrial Safety Engineer to join our dynamic team in our US corporate office in Melrose Park, IL. This position is responsible for driving engineered solutions to improve the overall safety at the workplace.

Principal Responsibilities:

• Work in collaboration with Plant Management to understand production processes and needs and desired safety metrics in order to plan health and safety engineered improvements
• Investigate industrial accidents, injuries, and near misses to determine root causes and corrective actions that involve hazard elimination and engineering controls.
• Conduct risk assessments on new equipment being installed and/or new plant layouts to identify risks to safety/health. Analyze and recommend engineered solutions to mitigate risk.
• Analyze the effectiveness of current safety training processes and documentation. Investigate and recommend improvements that will result in more behavioral compliance with safety rules.
• Complete and maintain documentation related to accident and injuries. Maintain OSHA log and complete the annual 300A. Use data from all company USA locations' logs and 300A's to analyze trends and risks. Recommend strategies for improvements.
• Create training materials for plant and Operations personnel. Create annual training calendars. Work with company's IT department and Mecalux Group's Barcelona office personnel to create, develop, and elaborate online training methods and online training tracking tools.
• Aid in the implementation of ISO 45001:2018 for occupational health and safety management systems.

Requirements:

• Bachelor's degree in Industrial Engineering or related field. Master's Degree in Engineering preferred.
• Fluency in English and Spanish is required without exception.
• Personality: Candidates must have integrity, be highly analytical, and have a strong desire to be deeply involved in the business. Candidates must be organized and methodical in their work, with the ability to learn quickly and adapt easily to change. Candidates must be able to persevere through difficult work challenges with the highest degree of dedication. Candidates must have strong interpersonal skills with the confidence to interact and communicate effectively with personnel from all levels of the organization.
• Understanding of safe work practices, OSHA, EPA.
• Desire to work in a manufacturing environment and ability to work in hot and cold plant conditions.
• Ability to travel occasionally to our other USA locations in IL, SC, TX, and CA.

We offer:

• Competitive compensation
• The ability to become a part of an industry-leading dynamic team with a high focus on delivering results and continuous improvement
• 401(k) plan through Fidelity, with a generous company match; 100% vested immediately upon contributing and no waiting period to start participating
• Paid Holidays and Paid Time Off with the option to cash out unused PTO every year
• Possibility for telework days, depending on position, with flexible make-up time for exempt employees
• Blue Cross Blue Shield medical insurance plans, along with dental and vision benefits.
• Opportunities for career development and advancement; enhance your technical, specialized knowledge and gain new skills through promotions from within.

LHH Recruitment Solutions has partnered with a growing organization, and they are seeking a motivated Forecast Planning Analyst – Healthcare/Medical Device to join their team. This is an exciting opportunity for a data-driven professional who thrives at the intersection of analytics, supply chain strategy, and cross-functional collaboration. The ideal candidate will play a key role in shaping demand visibility, improving forecast accuracy, and supporting inventory and production decisions in a fast-paced, growth-oriented setting.

Why This Opportunity Stands Out:

• High-impact role supporting critical supply chain decisions.
• Exposure to enterprise-level ERP systems (SAP experience highly valued).
• Collaborative environment working closely with operations, planning, and commercial teams.
• Strong emphasis on continuous improvement and analytical rigor.

Key Responsibilities:

• Develop, analyze, and maintain demand forecasts using historical data, trends, and business inputs.
• Partner with cross-functional stakeholders to align forecasts with sales, production, and inventory strategies.
• Evaluate forecast performance, identify variance drivers, and recommend corrective actions.
• Support demand planning and S&OP-style discussions through data-driven insights.
• Build and enhance forecasting tools, models, and reporting to improve visibility and decision-making.
• Leverage ERP and planning systems to ensure accurate data flow and planning alignment.
• Conduct ad hoc analysis to support operational and financial planning initiatives.
• Contribute to process improvements that reduce inventory risk, stockouts, and excess.

Qualifications and Skills:

• Bachelor's Degree in Business, Supply Chain, or a related field.
• Experience working in a manufacturing and/or distribution environment.
• Previous experience in healthcare, medical device, or similar highly regulated industries.
• Strong forecasting and demand planning experience with a solid understanding of supply chain principles.
• Advanced Excel capabilities, including VLOOKUPs, Pivot Tables, and complex data analysis.
• Hands-on experience with ERP systems; SAP exposure is a significant plus.
• Proven ability to translate complex data into actionable business insights.
• Familiarity with statistical forecasting methodologies and planning tools.
• Experience supporting inventory optimization and production planning efforts.
• Strong analytical mindset with attention to detail and accuracy.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• Comfortable working in a dynamic, deadline-driven environment.

Compensation Range: $60,000 - $75,000

Benefits Offered: 2 weeks of vacation, paid sick leave where applicable by state law, Medical Insurance, Dental Insurance Vision Insurance, 401K, and Life Insurance.

If you are a passionate Forecast Planning Analyst looking for a new and rewarding career, please apply today! You don't want to miss out on this opportunity!

LHH is a leader in permanent recruitment—and in the placement of top talent. Our areas of specialty include office administration, customer service, human resources, engineering, and supply chain and logistics. Please feel to check us out and apply for other opportunities if this role isn't a perfect match.

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit

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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