Engineering Jobs in Placentia Orange County Ca Remote

Senior Structural Engineer

Location: On-site in Anaheim, CA (relocation assistance available)

Our confidential client is a nationally recognized, multidisciplinary building-design powerhouse that continues to raise the bar on innovation, safety, and community impact. As they expand their California presence, they are adding a Senior Structural Engineer who will shape landmark projects ranging from mixed-use mid-rises to advanced industrial facilities. You will join a highly collaborative group that prizes technical excellence, invests heavily in professional growth, and gives engineers a direct voice with owners and architects.

Key Responsibilities

• Lead structural calculations and design for commercial, industrial, and civic projects using steel, concrete, timber, masonry, and cold-formed steel systems, delivering safe, economical solutions that meet seismic Zone 4 requirements.
• Act as Engineer of Record, reviewing and stamping drawings and calculations in accordance with IBC, CBC, AISC 360, ACI 318, and ASCE 7.
• Manage scope, schedule, and budget for multiple concurrent projects, coordinating closely with architecture, MEP, and civil teams to keep milestones on track.
• Mentor junior engineers and drafters, instilling best-practice analysis techniques and fostering a culture of continual learning.
• Perform advanced modeling and dynamic analysis with tools such as RISA 3D, RAM Structural System, and ETABS; drive BIM integration with AutoCAD and Revit models.
• Champion continuous improvement by vetting emerging materials, methods, and digital workflows that elevate safety, sustainability, and cost efficiency.
• Maintain close client relationships, translating technical findings into clear recommendations and presenting design concepts to both technical and non-technical stakeholders.

Core Qualifications

• Bachelor’s degree in civil engineering; Master’s in Structural Engineering highly preferred.
• Active California PE or SE license.
• 8 + years of progressive structural design experience with demonstrated project-lead responsibility.
• Expert user of leading structural analysis software; Revit/BIM familiarity strongly valued.
• Proven track record guiding multidisciplinary teams and communicating complex concepts with clarity.
• U.S. work authorization and ability to work on-site in Anaheim.

What’s In It for You

• Competitive base salary plus discretionary bonus and annual merit reviews.
• Comprehensive health, dental, vision, and life coverage from day one.
• 401(k) with company match and immediate vesting.
• Generous PTO, company-paid holidays, and flex Fridays after onboarding.
• Paid professional memberships, license renewals, and continuing-education stipend.
• Clear technical and leadership growth paths within a rapidly scaling organization committed to elevating its engineering talent.

About Blue Signal:

Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at /46Gs4yS

About Yami:

Founded in 2013, Yami’s mission is to bring the world closer for everyone to experience and enjoy. We make it easy to discover exciting flavors and trending products from Asia. Named Inc. Magazine’s fastest growing start-up on the ”Inc. 500 List,”, we’re committed to connecting people with authentic food, beauty, home, and wellness experiences through our e-commerce platform, iOS, and Android apps.

Benefits & Compensation:

• 401(k) Matching
• Health Insurance: Medical, Vision, and Dental
• Paid Time Off: Vacation, Sick, and Holidays
• On-site Amenities: Gym, Pool, Game Rooms, etc.
• Team Building
• Employee Discount
• Employee Referral
• Coffee and Snacks
• Please see range below, and DOE

Summary:

The Growth Marketing Specialist is responsible for driving organic traffic growth through SEO and AI-driven discovery channels. This role leads strategy across technical SEO, content optimization, site architecture, and schema implementation to improve visibility and “Share of Model” on generative search platforms. The specialist analyzes performance data, conducts keyword and competitive research, and partners closely with Product, Engineering, and Content teams to turn insights into growth initiatives. The ideal candidate has at least three years of SEO or growth marketing experience (preferably in North American e-commerce), is comfortable working in startup environments, understands technical and content-led SEO, and is passionate about AI, emerging search trends, and Asian products. Bilingual English/Chinese is required.

Responsibilities

• Own the organic growth strategy across SEO and AI discovery platforms
• Implement strategies to increase "Share of Model" by optimizing site architecture and Schema markup for Generative Engine Optimization
• Develop and execute a comprehensive SEO strategy, including technical SEO, onsite and offsite optimization, and content-led growth initiatives
• Conduct keyword research, competitive analysis, and site audits to identify growth opportunities
• Collaborate with Product, Engineering, and Content teams to implement the organic traffic growth strategy
• Monitor and analyze search rankings, website performance, and user behavior， translating insights into clear action items
• Evaluate organic traffic quality and performance, providing data-driven insights and recommendations for continuous improvement
• Stay current with search ecosystem changes, algorithm updates, and emerging AI-driven discovery trends

Qualifications

• 3+ years of experience in SEO, organic growth, growth marketing, or AI-driven traffic, preferably within the North American e-commerce industry
• Startup experience with hands-on SEO and GEO is a strong plus
• Strong ability to analyze data, generate insights, and translate findings into actionable recommendations
• Hands-on experience with Google Analytics, Google Search Console, and other SEO tools (e.g., SEMrush, Ahrefs)
• Solid understanding of content marketing, link-building strategies, and technical SEO fundamentals
• Strong interest in AI, search innovation, and content creation
• Strong interest in Asian products and culture, with the ability to quickly identify emerging trends among our target customers
• Bilingual in English and Chinese

About Us:

Rigle is a brand accelerator helping global brands scale across all marketplaces through data-driven precision and creative excellence. As we continue to dominate the digital landscape, we are seeking a Growth Marketing Manager (Creator & Performance Strategy) to move beyond simple brand awareness and build high-converting, full-funnel influencer engines.

Position Overview:

The Growth Marketing Manager will be the architect of Rigle’s creator-led acquisition strategy. Unlike traditional influencer roles focused on "likes," this individual will treat influencer marketing as a performance channel—mapping specific content to every stage of the customer funnel. You will be responsible for identifying high-resonance niches, drafting rigorous direct-response briefs, and engineering campaigns that drive measurable ROI. You will work at the intersection of consumer psychology, data analytics, and creative strategy to turn creators into a scalable revenue lever for the brands we represent.

Key Responsibilities:

• Full-Funnel Strategy: Develop and execute comprehensive creator strategies that address the entire customer journey, from top-of-funnel education to bottom-of-funnel conversion and retargeting.
• Niche & Persona Mapping: Conduct deep-dive research to identify specific target audiences and sub-cultures; tailoring unique messaging and creative angles to ensure maximum resonance and higher conversion rates.
• Direct-Response Briefing: Oversee the creation of high-impact content briefs, ensuring influencers utilize proven direct-response frameworks (hooks, social proof, and clear CTAs).
• Performance Optimization: Use data-driven insights from tools to monitor CAC, LTV, and ROAS, constantly optimizing future campaigns based on hard revenue data.
• Cross-Channel Synergy: Identify winning organic content for "whitelisting" or "Spark Ads," extending the lifecycle and ROI of creator assets.
• Technical Attribution: Implement and manage sophisticated tracking systems (UTMs, coupon codes, and post-purchase surveys) to ensure accurate attribution across fragmented customer journeys.
• Relationship & Negotiation: Negotiate performance-based contracts and manage budgets with a focus on unit economics rather than just follower counts.
• Trend Engineering: Stay ahead of algorithmic shifts and consumer behavior trends to ensure Rigle’s brands remain at the forefront of the creator economy.

Qualifications:

• 3+ years of experience in Growth Marketing, Performance Marketing, or Influencer Strategy with a proven track record of driving direct revenue.
• Strategic Mindset: Deep understanding of marketing funnels, customer acquisition costs, and the psychological triggers that drive online purchasing.
• Vertical Expertise: Experience in the beauty or lifestyle industry is highly preferred, specifically in identifying "winning" visual hooks for these categories.
• Analytical Rigor: Proficient in interpreting multi-channel attribution data and translating complex spreadsheets into actionable creative pivots.
• Communication: Ability to bridge the gap between creative "vibe" and business "ROI" when speaking to both brand owners and content creators.
• Agility: Ability to work in a fast-paced environment, managing multiple brand funnels simultaneously without losing sight of the data.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work in a dynamic and growing company with a focus on innovation.
• Flexible work environment with opportunities for professional growth.
• The chance to make a significant impact on the success of leading beauty brands in the U.S. market.

At Makita USA, we believe our employees are the driving force behind our success. That’s why we offer a competitive and comprehensive benefits package to support your health, financial well-being, and professional growth. When you join Makita, you become part of a dynamic, innovative, and team-oriented culture that values hard work and dedication.

Makita is a worldwide leader in the professional power tool industry. Over the past 100 years, we have built a reputation for using the finest raw materials, the most advanced manufacturing equipment, and the most rigorous quality testing in the industry. Headquartered in La Mirada, CA, Makita U.S.A., with offices in Reno, NV, Wilmer, TX, and Flowery Branch, GA, has brought Makita's best-in-class engineering advantage to professional power tool users in America since 1970.

Salary $85,000 - $100,000 annually

Job Summary

Makita is the innovation leader in power tools, equipment, and accessories – so join the team at our U.S.A. headquarters in Southern California and help us make the Makita Advantage come alive at trade shows and events across the U.S.A.

As the Trade Show Manager, you will take a leading role in planning, coordinating, and executing trade shows and events to reach our target audiences, including pro-contractors, hardware dealers/distributors, and the media. You will help communicate the Makita Advantage to these audiences by creating and executing event plans that include compelling signage and graphics, hands-on product demonstrations, dynamic display structures, efficient lighting, effective lead collection, and more.

Areas of focus will range from budget and calendar planning to asset co-design and sourcing, inventory management, and hands-on activity, including booth set-up and on-site management at select events.

Across categories, Makita products have leading power and performance but with lower noise, less vibration, reduced weight, and superior ergonomics. This combination of performance and comfort is unique in the category, giving users of all types – from pro contractors to DIYers – a complete solution that helps get work done faster and more efficiently. Join our team and be a part of this exciting innovation story.

Essential Job Duties

• Work with the senior communications manager as well as product management, channel marketing, brand marketing, operations, and senior management on a full range of trade show activities. This will include live trade shows in major convention venues.
• Build the annual Makita U.S.A. trade show calendar and budget.
• Work with our off-site logistics partner to manage and track asset inventory and display tool inventory for use at trade shows. This includes inspection and inventory reconciliation as well as routine maintenance and repairs.
• Collaborate with in-house marketing staff and vendors to build booth assets, including structures and signage.
• Work with the in-house product management team (and occasionally outside vendors) to create demonstrations of key Makita products.
• Create effective lead collection tactics at trade shows.
• Coordinate show orders and shipping for select events.
• Coordinate on-site details for select events, including shipping and receiving, staffing, and set-up.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Skills Required

• Familiarity with best practices in trade show booth construction, including lighting and graphics.
• Basic inventory management of trade show assets.
• Building and managing a budget.
• Post-event actions, including reviewing and approving show invoices.
• Strong ability to proactively coordinate numerous projects while maintaining follow-up and follow-through skills.
• Strong attention to detail.
• Ability to calculate figures and amounts such as discounts, percentages, and area. .
• Ability to read, analyze, and interpret general business periodicals, technical procedures, or trade show regulations.
• Ability to write reports, business correspondence, and procedure manuals (e.g., booth set-up instructions).
• Ability to effectively present information and respond to questions from groups of managers and vendors.
• Ability to learn: Obtain knowledge and understanding of our power tools, competition, target professional users, the product applications, and the types of dealers that support the users.
• Presentation skills: Organize information and present to both internal and external audiences.
• The ability to work under pressure and with constantly changing priorities
• Experience in executing a trade show booth “from the ground up”, including arranging shipping and on-site booth set-up, as well as ordering and tracking on-site show services.

Supervisory Responsibility

This position does not have supervisory responsibilities.

Work Environment

This position is based full-time in the Makita U.S.A. Home Office in La Mirada, CA.

EVENTS: This position will include indoor and outdoor events. The work environmental characteristics for these events include the following:

• The employee may be exposed to moving mechanical parts and outside weather conditions.
• In rare instances, activity goes into the night and proceeds until completion, rain or shine.
• The employee is occasionally exposed to fumes or airborne particles, as well as risk of electrical shock and vibration. Personal protective equipment is provided, and professional labor is on hand to manage advanced electrical applications.
• The noise level in the work environment is usually moderate. At select trade shows, noise levels are similar to a construction job site. Hearing protection is provided.

Education and/or Experience Desired

• Five to ten years of related trade show and event experience in venues including convention halls.
• Experience in executing a trade show booth “from the ground up”, including arranging shipping and on-site booth set-up, as well as ordering and tracking on-site show services.

Travel: The expected travel for this role is up to 15%.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

• The employee is regularly required to stand, walk, use hands to handle or feel, reach with hands and arms, and talk or hear. The employee is frequently required to sit and stoop, kneel, crouch, or crawl. The employee is occasionally required to climb or balance.
• The employee must regularly lift and /or move up to 20 pounds, frequently lift and/or move up to 40 pounds, and occasionally lift and/or move up to 50 pounds.
• Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and the ability to adjust focus.
• The employee must be able to safely operate a moving vehicle per our company policy.
• Occasional extended hours are expected to complete assembly or take-down activities on-site during trade shows and events, as well as in the office.

Our Benefits Include:

Health & Wellness

• Medical, Dental, and Vision insurance options after 30 days of employment
• Flexible spending accounts (FSA) & Health Savings Accounts (HSA)
• Employee assistance program (EAP) for mental health and well-being
• Paid subscription to Headspace and 5 other members of your choice

Financial Security

• Competitive pay & performance-based incentives
• 401(k) retirement plan with company match
• Basic Term Life insurance is 100% company paid
• Long-term Disability Coverage 100% company paid
• Disability Coverage
• Voluntary Coverage: Critical illness, accidental, hospital indemnity, whole life, and supplemental life plans.

Work-Life Balance

• Paid time off (vacation, sick leave, and 13 paid holidays)
• Employee discounts on Makita tools and accessories - because we know you love quality tools!

Join Makita USA and power up your career with a company that values innovation, teamwork, and excellence!

Explore Opportunities & Apply Today!

Disclaimer:

This description is based on management's assessment of the requirements and functions of the job as of the date this description was prepared. It is a general guideline for managers and employees, but it does not intend to be an exhaustive list of all of the elements of the job. Management reserves the right to modify the description at any time, or to vary the duties and responsibilities of the job on a temporary or indefinite basis to meet production, scheduling, or staffing needs.

Equal Opportunity Statement:

The Company is an equal opportunity employer and makes employment decisions based on merit. Company policy prohibits discrimination based on race, color, creed, sex, religion, marital status, age, gender, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, veteran status, military service, pregnancy, childbirth or related medical condition, genetic information, medical (including genetic characteristics or cancer diagnosis), actual or perceived sexual orientation, or any consideration protected by federal, state or local laws. All such discrimination is prohibited. Additionally, the Company will provide registered domestic partners with all rights and benefits as required by Law. The Genetic Information Nondiscrimination Act of 2008 (GINA) prohibits employers from requesting or requiring genetic information of an individual or a family member of the individual. The Company is committed to complying with all applicable laws and providing equal employment opportunities.

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
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