Engineering Jobs in Chantilly Hybrid

Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.

Suffolk – America’s Contractor – is a national company with more than $8 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR’s list of “Top CM-at-Risk Contractors.” For more information, visit and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram.

The Role:

Suffolk is seeking people who are bold. Curious. Innovative. Caring. Looking for the career opportunity of a lifetime. We’ll challenge and inspire you to be your very best. We’ll embrace what makes you unique and lift you up as you take chances. Here, you’ll find a place where you can act with purpose and integrity, bringing intelligence and grit to every aspect of your job. Join us for the chance to achieve your ambitions and build your legacy.

The Director of Preconstruction is a critical team member responsible for overseeing project strategy development, management of risk, fostering business growth, and creating and advancing relationships with clients and partners. This role is responsible for leadership and guidance of a team of preconstruction managers.

Responsibilities:

• Lead team responsible for responses to RFPs and position SCCI as a contract partner of choice
• Build and maintain relationships with all internal and external stakeholders
• Coordinate closely with Lead Estimators to establish continuously refined scopes of work
• Coordinate closely with Operations’ client account managers to help ensure consistency of service
• Coach, mentor, and develop preconstruction management team
• Facilitate relationships between preconstruction managers, Operations teams, planning teams, digital engineering, Suffolk Design, and marketing teams
• Coordinate work with internal departments to leverage the use of company tools
• Direct continuous improvement and change management processes within the department
• Participate in Go/No Go Process for new client pursuits
• Oversee prequalification progress and tracking of awarded trade partner contracts
• Establish and ensure conformance with SCCI general conditions staffing models
• Serve as final
• Oversee coordination of bid forms, bonds and insurance requirements for the bid
• Create and manage preconstruction services proposals
• Take part in client presentations and attend interviews
• Oversee coordination of trade contract production in accordance with SCCI SOPs
• Manage communication with clients through award decision after bid submissions
• Exhibit and Reinforce SCCI Core Values

Qualifications:

• Bachelor’s Degree, preferably in Civil Engineering, Construction Management, Architecture or related field
• 15 or more years of experience in Estimating, Procurement, or Project Management
• Demonstrated communication and presentation skills
• Collaborative leadership style
• Deep technical knowledge of construction with experience in data centers preferred
• Understanding of market conditions and ability to foster competitive advantage
• Experience in all aspects of preconstruction to include scheduling, staffing, and risk management
• Experience working with and leading geographically dispersed teams is preferred
• Experience with design-build project delivery is preferred

While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stand; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.

Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.

Job Title: Executive Administrative Assistant

Work Model: Hybrid Work Arrangement (HWA)

Location: Reston, VA

Onsite Requirement: 3–4 days per week to provide executive and team support.

About the Role

We are seeking an experienced Executive Administrative Assistant to provide high-level administrative and operational support to senior leadership.

In this role, you will act as a trusted administrative partner, supporting executives and engineering teams by managing calendars, coordinating operational activities, and ensuring the smooth functioning of daily office operations. You will also support the organization’s expanding robotics and research initiatives through procurement coordination, onboarding support, and cross-team administrative collaboration.

This position requires a highly organized, proactive professional who can manage multiple priorities, work independently, and thrive in a fast-paced environment.

Key Responsibilities

Executive Support

• Provide high-level administrative support to senior leaders and executives.
• Manage complex executive calendars, scheduling meetings, resolving conflicts, and coordinating across teams.
• Prepare meeting agendas, documents, and presentations.

Team and Operational Support

• Provide administrative support to engineering and research teams.
• Coordinate cross-functional activities and ensure smooth communication between teams.
• Serve as “boots-on-the-ground” operational support for team members onsite.

Procurement and Vendor Coordination

• Coordinate procurement activities including purchase orders (POs), vendor communication, and equipment tracking.
• Support ordering and management of lab equipment and computer hardware for robotics and engineering teams.

Onboarding Support

• Assist with onboarding new team members as the organization expands.
• Coordinate onboarding logistics including workspace setup, equipment, and access to systems.

Office Administration

• Perform general office duties such as ordering supplies, maintaining records, and managing documentation.
• File and retrieve corporate documents, records, and reports.
• Manage information requests and distribute communications appropriately.

Event and Meeting Coordination

• Organize and coordinate internal meetings, leadership sessions, and team events.
• Prepare agendas and logistical arrangements for committee or leadership meetings.

Administrative Collaboration

• Partner with other executive assistants across the organization to support cross-divisional initiatives.
• Provide backup coverage for other executive assistants when needed.

Required Qualifications

• High school diploma or GED required.
• 5–7 years of administrative or executive assistant experience, preferably supporting senior leadership.
• Proven experience managing complex executive calendars.
• Strong proficiency in Office tools, including:
• Word
• Excel
• PowerPoint
• Excellent organizational and time-management skills with the ability to manage multiple priorities.
• Strong written and verbal communication skills.
• Ability to work independently and maintain confidentiality.

Preferred Qualifications

• Prior experience working within a large technology organization.
• Experience supporting engineering or technical teams.
• Familiarity with procurement processes, vendor management, and equipment tracking.
• Experience coordinating on boarding and team events.

Key Skills

• Executive Calendar Management
• Administrative & Team Support
• Procurement Coordination
• Vendor and Equipment Management
• Event Planning and Meeting Coordination
• Organizational and Time Management
• Communication and Stakeholder Collaboration

What Success Looks Like

Success in this role will be measured by:

• Reliability and responsiveness in supporting executives and teams.
• Ability to manage multiple administrative tasks efficiently.
• Timely completion of assignments and operational support activities.
• Strong collaboration with leadership, engineering teams, and administrative partners.

Why Join This Role

This is an exciting opportunity to work alongside a dynamic team supporting innovative research initiatives within a fast-moving organization. You will play a critical role in enabling senior leadership and engineering teams to operate effectively while contributing to a growing and impactful program.

Interested candidates can directly share their resume copy at my email-

EdgeCore Digital Infrastructure serves the world’s largest cloud and internet companies with both ready-for-occupancy and build-to-suit data center campuses that are designed for density. Privately held and backed by committed equity to fund an aggregate amount of over USD $16.5 billion in development, EdgeCore enables hyperscale customer requirements by proactively investing in regions that provide the land and power necessary to support and scale AI and cloud technology. While working thoughtfully with the communities in which we do business, our data center campuses are built at scale to meet key performance specifications, safety metrics and sustainability objectives. EdgeCore has data center campuses in six North American markets with plans to expand into new regions in 2026 and beyond. For more information, please visit .

This position is open to candidates located in or willing to work from the Sterling, VA or Denver, CO areas.

Career Opportunity

EdgeCore is seeking an experienced Procurement Associate to join its high-performing and growing Procurement team. This position will report directly to the Vice President of Procurement and will perform procurement and sourcing analysis, tactical buying, contract management and supplier management across the company. This individual will act as the procurement right hand for EdgeCore’s Design & Construction team.

Responsibilities

• Support and execute EdgeCore’s procurement strategy, including system and process optimization, sourcing, purchasing, and contract management
• Oversee tactical procurement activities, partnering with multiple business unit owners on RFP creation, vendor selection, contract negotiation, order implementation including delivery/ service tracking and overall supplier management
• Prioritize and balance stakeholder needs and client delivery timelines while also adhering to procurement processes
• Manage purchase requisitions and triage to the appropriate sourcing process based on spend and project complexity
• Drive supplier performance management initiatives, including coordinating regular supplier evaluations and Quarterly Business Reviews for key suppliers
• Conduct spend analysis to identify cost reduction and supplier efficiency opportunities
• Support procurement policy development and drive consistent adoption and execution
• Demonstrate behaviors consistent with EdgeCore’s culture of integrity, quality, consistency, and corporate confidentiality
• Security is a shared responsibility. All employees are required to comply with company security policies and procedures and to help protect company information, systems, and assets in the course of their daily work.

Your Experience and Qualifications

• Bachelor’s degree in Business, Supply Chain Management, Finance, Construction, Engineering or a similar field is preferred, but not required
• 3 - 5 years of experience in procurement, contract management, or similar professional experience. Experience in data centers, real estate, construction, architecture, site operations or facilities will also be an advantage.
• Strong understanding of sourcing activities from site development through construction turnover including but not limited to designers, architects, engineers, and general contractors.
• Experience working in E-Builder and/or Coupa is advantageous but not required.
• Deep knowledge of Microsoft Office suite (PowerPoint, Excel, Word)
• Exceptional verbal and written communication skills, including the ability to present information in a compelling and concise format.
• Strong organizational skills, with the ability to prioritize and manage multiple projects simultaneously in a high-pressure setting.
• Ability to demonstrate tact, discretion, confidentiality, and good judgement in handling sensitive and confidential matters and documentation.
• Detail oriented strategic thinker.
• A team player with a strong and natural affinity for learning.
• Self-starter with high- initiative, accountability, and motivation.

What We Offer

• Onsite position based in either Sterling, VA or Denver, CO with free parking.
• Full-time salaried, exempt role: Includes equity compensation and a performance-based annual bonus.
• Annual base salary range: $85,000 - $112,000, depending on experience and location.
• In-office expectations: This role requires in-office presence four days per week.
• Travel: 10%
• Medical, dental, and vision insurance: Includes a $0-premium medical plan option (employee only option).
• Flexible Spending Accounts & Health Spending Account: Health & Dependent Care FSA, Limited-Purpose FSA, and an HSA with a company contribution.
• Paid time off: 120 hours of annual paid time off, 11 paid holidays, 7 sick days, and 8 hours of volunteer time annually.
• Retirement savings: 401(k) retirement savings plan with a company contribution.
• Life and disability insurance: Company-paid life and disability insurance.
• Parental leave: Paid parental leave for eligible new parents, available after meeting service requirements.
• Employee assistance program (EAP): Confidential support services for employees and their families, including counseling, financial guidance, and legal resources.
• Educational assistance: Company-sponsored educational reimbursement for approved courses and certifications.
• Employee support & discounts: Access to company-sponsored discount programs and employee well-being resources.

Job Title: Fire Protection Design Manager - PE

Location: Hybrid - Ashburn, Virginia, United States **Relocation Available**

Salary: $150,000-$180,000 + Benefits & Company Profit Sharing

Skills: Fire Protection Design, Team Leadership, NICET III/IV Certification, AutoSprink, Project Coordination

About the Construction Company / The Opportunity:

Our client, a leading organization in the construction industry, specializes in delivering comprehensive fire protection services for industrial, commercial, and residential projects. This is a unique opportunity for a results-driven Fire Protection Design Manager to lead a high-performing design team and oversee the full spectrum of fire sprinkler system designs in a hybrid work setting. You’ll leverage innovative solutions, mentor talented professionals, and advance safety standards while enjoying competitive pay and industry-leading benefits.

Responsibilities:

• Lead, mentor, and develop the fire sprinkler design team to ensure high performance and growth.
• Oversee all aspects of fire sprinkler system design for a variety of applications, including industrial, commercial, and residential projects.
• Provide technical guidance and support to sales and project management teams as required.
• Ensure robust quality control and produce effective, efficient, and code-compliant designs.
• Review project progress and budgets with the design team, driving accountability and cost management.
• Collaborate with project managers and field superintendents to anticipate scheduling, procurement, and project delivery needs.
• Review and ensure compliance with material and design specifications within each project’s contractual scope.

Must-Have Skills:

• NICET Level III or IV certification in Fire Protection Engineering Technology—Water-Based Systems.
• Minimum 5 years of experience as a Design Manager leading fire protection design teams.
• Extensive hands-on experience with AutoSprink software for fire protection layout and design.
• Proven expertise in fire sprinkler systems in high-rise, multi-family, storage facilities, warehouses, and data centers.
• Strong leadership, communication, and organizational skills.
• Clean motor vehicle record and ability to pass a pre-employment drug screening.

Nice-to-Have Skills:

• Professional Engineer (PE) license or eligibility for licensure.
• Experience in technical training or staff development for design professionals.
• Exposure to recent fire protection technologies and fabrication best practices.
• Expertise working with a range of fire protection systems including pumps and special hazards.
• Familiarity with project management and scheduling software tools.

Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.

Suffolk – America’s Contractor – is a national company with more than $8 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR’s list of “Top CM-at-Risk Contractors.” For more information, visit and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram.

The Role:

The MEP Estimator is responsible for developing cost estimates for Mechanical, Electrical, and Plumbing (MEP) systems in various construction projects. This position involves collaboration with project managers, design teams, subcontractors, and vendors to ensure accurate budgeting and project forecasting for large-scale projects. The MEP Estimator plays a key role in the preconstruction process, contributing to informed decision-making and ensuring projects are completed on time and within budget.

Responsibilities:

• Prepare detailed MEP estimates (Mechanical, Electrical, Plumbing) for construction projects in the Mission Critical sector, in particular Data Centers
• Analyze project drawings, specifications, and addenda to determine project scope and required materials, labor, and equipment.
• Collaborate with internal teams (project management, engineering, procurement) and external parties (architects, subcontractors, vendors) to develop accurate cost estimates.
• Solicit and evaluate pricing from MEP subcontractors and suppliers to ensure competitive and complete estimates.
• Prepare cost comparisons and value engineering options to optimize project efficiency and reduce costs without compromising quality.
• Track and monitor market trends, material pricing, and labor costs to ensure estimates are current and competitive.
• Provide risk analysis and identify potential project challenges related to MEP systems and budgets.
• Participate in client and team meetings to present estimates, address questions, and explain cost drivers.
• Support bid submissions and negotiate with subcontractors/vendors as needed.
• Maintain and update estimating databases, templates, and historical cost data.

Qualifications:

• Bachelor's degree in Mechanical, Electrical, or Civil Engineering, Construction Management, or a related field (or equivalent experience).
• 5+ years of experience in estimating MEP systems for construction projects.
• Strong understanding of MEP systems, codes, and construction methods.
• Proficiency in estimating software (e.g., OST, Bluebeam) and MS Office Suite.
• Knowledge of market conditions and pricing trends for MEP materials and labor.
• Excellent analytical, mathematical, and problem-solving skills.
• Strong communication and negotiation skills to collaborate with clients, subcontractors, and team members.
• Ability to work independently and meet deadlines in a fast-paced environment.
• Attention to detail and a commitment to accuracy in estimates and forecasts.
• Experience with design-build and preconstruction phases for large-scale commercial projects and familiarity with BIM (Building Information Modeling) processes and technologies a plus.

While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stand; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.

Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.

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.

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