Engineering Jobs in Summit Nj Flexible

Operations Technician I

Location: Rahway, NJ Work Environment: On-Site

Job Summary

The Operations Technician I is an entry-level professional responsible for executing technical tasks and supporting critical operational activities. This role is essential to the timely packaging, labeling, warehousing, and distribution of bulk and finished clinical materials.

The successful candidate will ensure full compliance with Quality-related aspects of Global Clinical Supply Operations, including inventory management, SOP authoring, and supporting internal inspections.

Key Responsibilities

Clinical Supply & Logistics

• Perform primary and secondary packaging of drug products, biologics, and vaccines.
• Execute distribution activities, including order processing and drug picking, packing, and shipping.
• Manage all tasks related to clinical label printing and production.
• Oversee warehousing activities, including bulk component inventory movement and accuracy.
• Maintain optimal inventory levels for consumables through proactive ordering.

Compliance & Quality Assurance

• Maintain cGMP and safety training to site requirements at all times.
• Author or revise Standard Operating Procedures (SOPs) and support batch record reconciliation.
• Support investigations into root causes and assist in the creation of Corrective and Preventative Actions (CAPAs).
• Act as a Subject Matter Expert (SME) during internal or external audits from regulatory agencies and safety bodies.

Technical Operations

• Operate within cold vaults, walk-in CTUs, and stand-up CTUs.
• Execute assigned technical tasks with a high degree of reliability and follow-through.
• Utilize SAP for technical activities and maintain accurate, detailed documentation.
• Engage in creative problem-solving and provide analysis to anticipate technical obstacles.

Qualifications & Skills

Education & Experience

• Bachelor’s degree preferred; candidates with relevant experience will be considered.
• 0–3 years of experience in a related field (or 3+ years of relevant experience for candidates without a degree).
• Experience using and wearing respiratory equipment.
• Training or experience in forklift and pallet jack operation.

Technical Knowledge

• Strong understanding of Good Manufacturing Practice (GMP) principles.
• Knowledge of quality and safety requirements for pharmaceutical packaging and handling.
• SAP experience is highly desired.
• Equipment operation and repair skills.

Physical Requirements

• Ability to repetitively lift, carry, push, and pull up to 50 lbs.

General Competencies

• Exceptional organizational skills and meticulous attention to detail.
• Strong problem-solving and troubleshooting abilities.
• Ability to quickly learn new systems and demonstrate in-depth knowledge of GMP processes.

• 
  
• Architecture & Implementation
  
• Define target?state architecture for Microsoft Purview across Azure, AWS, M365, on prem, and third party platforms.
  
• Develop and drive the implementation roadmap across U.S. Businesses, PGIM, Corporate Technology, and international units.
  
• Establish Purview reference architecture, integration patterns, and guardrails.
  
• Domain Based Governance
  
• Design collections, hierarchies, and RBAC aligned to domain structures and legal entity boundaries.
  
• Enable domain owned stewardship while enforcing enterprise taxonomies and governance standards.
  
• Platform Configuration
  
• Configure Data Map, Catalog, Scans, Classifications, Sensitivity Labels, and Lineage.
  
• Optimize scan strategy (frequency, cost, performance) and extend classifiers and metadata models.
  
• Security & Compliance
  
• Integrate Purview with M365 Information Protection, Entra ID, and security baselines.
  
• Support PII/PCI/PHI detection, access governance, and regulatory compliance (SOX, GLBA, NYDFS, GDPR).
  
• Engineering & Integration
  
• Integrate with Synapse, Fabric, Databricks (including Unity Catalog), Snowflake, SQL Server, AWS sources, and SAP/Oracle.
  
• Implement IaC (Bicep/Terraform), CI/CD for Purview artifacts, and automation via APIs.
  
• Adoption & Stakeholder Management
  
• Deliver training, onboarding playbooks, and steward enablement.
  
• Lead workshops for new data domains and products.
  
• Provide executive level reporting on progress, risks, and KPIs.
  

• 
  
• 10+ years in data architecture/governance; 2+ years hands on Purview experience at enterprise scale.
  
• Strong expertise in metadata management, lineage, classification, scan optimization, glossary management and domain based operating models.
  
• Solid Azure ecosystem knowledge (Storage, Key Vault, Synapse, Fabric, Databricks), M365 Information Protection, and Entra ID.
  
• Experience with IaC (Bicep/Terraform), APIs/Atlas, and scripting (PowerShell/Python).
  
• Financial services or regulated industry exposure.
  
• Excellent communication, stakeholder leadership, and cross domain facilitation skills.
  

About Diversified:

Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back.

What to Expect:

At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you.

As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion.

IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED.

How You'll Contribute:

The Market TechOps Leader is responsible for leading technical operations within an assigned market, overseeing project management and installation execution to ensure consistent delivery performance, financial results, and client satisfaction. This role serves as the primary operational counterpart to market Sales leadership, aligning delivery capabilities with pipeline demand and client commitments. Reporting to the Territory TechOps Leader, the Market TechOps Leader provides leadership for Project Managers, TechOps Leaders, and associated delivery teams. This role focuses on execution excellence, resource coordination, team development, and issue resolution while ensuring projects are delivered in accordance with established standards, schedules, and financial targets.

Location: Must living in the Sterling VA area

What You'll Do:

* Provide market-level leadership for technical operations, overseeing Project Managers and TechOps Leaders responsible for project execution and installation delivery.

* Partner closely with market Sales leadership to align delivery capacity, execution strategy, and resourcing with pipeline demand and client expectations.

* Ensure projects are executed on time, within scope, and in alignment with financial and quality targets.

* Monitor project performance across the market, identifying risks, delays, or cost issues and implementing corrective actions as needed.

* Enforce operational standards, processes, and workflows to drive consistency, quality, and efficiency across project teams.

* Coordinate resource utilization across projects, balancing workloads and supporting cross-project or cross-market needs when required.

* Serve as the primary escalation point for market-level delivery issues, including project performance, staffing challenges, and client concerns.

* Collaborate with Engineering, Configuration & Commissioning, and Fabrication leadership to ensure smooth handoff and execution across disciplines.

* Support project launch, execution, and closeout practices to ensure clarity of roles, expectations, and deliverables.

* Lead performance management, coaching, and development for Project Managers and TechOps Leaders within the market.

* Promote a culture of accountability, ownership, teamwork, and continuous improvement within market delivery teams.

What You'll Bring:

Required Skills/Qualifications:

1. 
   
   
2. 
   
   
   • 
     
     
   • 7+ years of experience in systems integration, AV delivery, project management, or related technical operations roles.
     
     
   • 3+ years of experience leading project managers, field leaders, or delivery teams.
     
     
   • Strong understanding of project management, installation, and field execution workflows.
     
     
   • Demonstrated ability to manage multiple concurrent projects and teams.
     
     
   • Experience driving delivery performance, quality, and financial results at the market level.
     
     
   • Strong communication, leadership, and problem-solving skills.
     
     
   
   
   

Preferred Skills/Qualifications:

• 
  
  
• Bachelor's degree in business, engineering, construction management, or related field.
  
  
• Industry certifications such as PMP, CTS, CTS-I, or CTS-D.
  
  
• Experience partnering closely with Sales leadership.
  
  
• Background in operational improvement or change management initiatives.
  
  

What We Offer:

Along with competitive compensation, you will be eligible for the following benefits:

• 
  
  
• Multiple medical plan options to suit your family's needs
  
  
• Dental (including orthodontic coverage) and vision plans
  
  
• Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP)
  
  
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  
  
• 401k with Employer Match
  
  
• Paid Time Off and Paid Holidays
  
  
• Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services
  
  
• Commuter Benefits
  
  
• And much more
  
  

To learn more about becoming part of the Diversified team, visit us at our career siteor email us at .

Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered.

If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you.

Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

About Diversified:

Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back.

What to Expect:

At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you.

As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion.

IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED.

The Engineering Leader is responsible for leading the Design Engineering organization across the company and ensuring consistent, high-quality, and profitable project delivery. Reporting to the Vice President of Engineering Operations, this role oversees Engineering Managers and Design Engineering teams, driving accountability, operational efficiency, and technical excellence throughout the project lifecycle.

A core focus of this position is ensuring Design and Project Engineers are positioned to perform their highest-value work-developing client relationships, shaping execution strategies, and ensuring system accuracy and expected functionality. This role partners closely with Engineering Documentation leadership to ensure documentation and support workflows are effectively leveraged, allowing Design Engineering resources to remain focused on technical leadership and client-facing responsibilities.

Responsibilities include, but are not limited to:

• 
  
  
• Own the performance, development, and accountability of Engineering Managers leading Design Engineering teams, setting clear expectations and holding leaders responsible for team results, delivery quality, and professional growth.
  
  
• Establish and sustain a culture of ownership and accountability across the engineering organization by defining measurable standards for project delivery, documentation quality, and client satisfaction, and addressing performance gaps directly.
  
  
• Drive engineering efficiency and profitability by identifying misaligned workflows, reducing non-value-added engineering effort, and ensuring appropriate use of engineering support and documentation resources.
  
  
• Partner with Support Engineering leadership to ensure effective utilization of engineering support teams, removing barriers that prevent smooth handoff and enabling Engineers to focus on high-value technical work.
  
  
• Ensure Engineers are consistently focused on client relationship development, execution planning, technical accuracy, and system functionality throughout the project lifecycle.
  
  
• Maintain visibility into presales pipeline and active project lifecycle status, comparing as-sold versus as-delivered labor, identifying value-engineering opportunities, and supporting financial performance improvement.
  
  
• Collaborate with Field and Fabrication Services and Project Management leadership to align engineering capacity with project demand, participating in resource planning and ensuring engineering support meets business needs.
  
  
• Establish, enforce, and audit engineering standards and delivery processes that support consistent, high-quality outcomes, reducing variability and improving first-time quality across projects.
  
  
• Serve as the senior escalation point for engineering-related issues impacting project delivery or client satisfaction, intervening when projects are off track and guiding recovery plans with responsible managers.
  
  
• Provide leadership input on hiring, succession planning, and organizational design for Engineering Manager roles, ensuring alignment with technical requirements and cultural expectations.
  
  
• Track, analyze, and act on key engineering performance metrics, including utilization, margin contribution, rework rates, schedule adherence, and client satisfaction, using data to drive continuous improvement.
  
  

Required Skills and Experience

• 
  
  
• Bachelor Degree Required, preferably in Engineering, Construction Management or related field.
  
  
• 10+ years of experience in systems integration, audiovisual engineering, or a related technical field with progressive leadership responsibility.
  
  
• 3+ years of experience managing managers or leading large, multi-project technical teams.
  
  
• AVIXA CTS, CTS-I, or CTS-D certification.
  Demonstrated success improving team performance and delivering measurable business results.
  
  
• Experience developing, implementing, and enforcing engineering standards and processes at scale.
  
  
• Strong understanding of the full project lifecycle from design through commissioning.
  
  
• Experience partnering cross-functionally with Sales, Project Management, and Field & Fabrication Services.
  
  
• Ability to read and interpret architectural drawings, system schematics, and technical specifications.
  
  
• Financial acumen, including labor forecasting, project budgets, and margin impact analysis.
  
  
• Strong problem-solving skills with a bias toward action and resolution.
  
  
• Effective written and verbal communication skills suitable for executive-level engagement.
  
  

What We Offer:

Along with competitive compensation, you will be eligible for the following benefits:

• 
  
  
• Multiple medical plan options to suit your family's needs
  
  
• Dental (including orthodontic coverage) and vision plans
  
  
• Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP)
  
  
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  
  
• 401k with Employer Match
  
  
• Paid Time Off and Paid Holidays
  
  
• Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services
  
  
• Commuter Benefits
  
  
• And much more
  
  

To learn more about becoming part of the Diversified team, visit us at our career siteor email us at .

Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered.

If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you.

Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

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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