Engineering Jobs in Rochester Ny Remote

Construction Manager

Location: Rochester, NY (100% Onsite)

Compensation: $100,000 – $130,000 annually

Additional Compensation:

• Discretionary annual bonus
• Vehicle allowance
• Phone allowance
• Mileage reimbursement

Employment Type: Full-Time

Schedule: Monday–Friday | Onsite at project location

Travel: No overnight travel required

Relocation: Open to candidates within surrounding regions (local preferred)

Position Overview

Wheeler Staffing Partners is seeking experienced Construction Managers / Traveling Superintendents to lead large-scale healthcare construction projects in Rochester, NY. This role is responsible for all on-site construction operations, safety oversight, schedule execution, and coordination of subcontractors and vendors.

The ideal candidate has strong experience managing $10M+ commercial healthcare construction projects, is well-versed in pull planning and the Last Planner System, and excels in fast-paced, high-accountability environments.

Key Responsibilities

• Serve as the primary on-site leader responsible for daily construction operations
• Champion jobsite safety and enforce the Site-Specific Safety Plan
• Lead safety meetings and manage site logistics and jobsite conditions
• Develop, maintain, and update project schedules; ensure schedule integrity
• Lead pull planning sessions and manage Last Planner System execution
• Coordinate subcontractors, vendors, and trade partners to meet project milestones
• Oversee compliance with construction documents, quality standards, and safety requirements
• Manage AHJ, third-party, and client inspections
• Drive coordination between trades to maintain productivity and schedule adherence
• Maintain accurate daily field reports and documentation
• Support procurement and timely delivery of materials
• Review submittals and ensure alignment with project requirements
• Ensure implementation of the Project Quality Assurance Plan
• Monitor project performance and report progress to leadership
• Support energy savings targets in coordination with engineering and M&V teams
• Ensure compliance with all federal, state, and local regulations
• Manage permit documentation and closeout processes
• Support project startup, commissioning, and closeout activities
• Represent company values and professionalism on all job sites

Qualifications

• Minimum 5+ years of experience managing large ($10M+) healthcare or commercial construction projects
• Bachelor’s degree in Construction Management preferred (or equivalent HVAC/Plumbing experience)
• Strong experience with pull planning and the Last Planner System
• Proficiency in Procore, Primavera, and Microsoft Office Suite
• Proven leadership and supervisory experience
• Strong organizational, scheduling, and communication skills
• Ability to manage multiple priorities in a fast-paced environment
• High attention to detail and strong problem-solving skills
• Ability to work through ambiguity and resolve field-level challenges
• Strong commitment to safety, quality, and project outcomes

Compensation & Benefits

• Competitive salary: $100,000 – $130,000
• Discretionary annual bonus
• Monthly vehicle allowance ($452)
• Monthly phone allowance ($80)
• Mileage reimbursement
• Medical, dental, and vision insurance
• 401(k) with company match
• 100% match on first 3%
• 50% match on next 2%
• 120 hours of PTO
• 9 paid holidays

Why Join Wheeler Staffing Partners?

Wheeler Staffing Partners connects top construction professionals with high-impact projects that align with their experience and career goals. We pride ourselves on strong partnerships, long-term career growth, and placing talent where they can make a measurable impact.

Our client, a multidisciplinary design services firm based in Buffalo, NY, is seeking a Bridge Design Engineer to join their team! This position can sit in Buffalo, Rochester, or Syracuse.

This is a full-time/direct hire/on-site position

Salary for this role based on experience: $85k-100k

Our client is seeking a Bridge Design Engineer with a civil or structural engineering background to join our growing Bridge and Transportation Engineering team. This role offers the opportunity to work on impactful bridge design and transportation infrastructure projects that enhance safety, resilience, and connectivity in the communities we serve. Whether you are already licensed or pursuing your Professional Engineering (PE) license, you’ll receive mentorship and hands-on experience across a variety of bridge and transportation projects.

As a Bridge Design Engineer, you will collaborate with experienced professionals on the design, analysis, inspection, and rehabilitation of bridges, applying current DOT standards and industry best practices. This is an excellent opportunity to grow your career in bridge engineering and transportation infrastructure while making a lasting public impact. If you’re ready to advance your career and help shape the infrastructure of tomorrow, we encourage you to apply today.

Responsibilities

• Support bridge design engineering, including load rating, structural analysis, and foundation design.
• Develop design plans, construction documents, specifications, and cost estimates for bridge and transportation structures.
• Maintain detailed records of bridge design documents, reports, and budgets.
• Ensure all designs comply with applicable state and local standards, regulations, and safety codes.
• Support project managers with schedules, documentation, and presentations.
• Promote, utilize, and support QA/QC processes to guarantee quality deliverables.
• Conduct field inspections, prepare detailed bridge inspection reports, and analyze foundation design.
• Provide technical support during construction, respond to RFIs, and attend site visits.
• Collaborate with internal teams, clients, subconsultants, and agencies to ensure seamless project delivery.

Qualifications

• B.S. degree in Civil Engineering or a related field, Master’s preferred
• 5-10 years of transportation experience with a background in structures/bridge design.
• EIT required; Professional Engineering (PE) license preferred or ability to obtain licensure.
• Proficiency in MicroStation, STAAD, and Bridge Design Software
• Familiarity with state DOT design standards (NYSDOT or PennDOT preferred)
• Professional performance aligned with our client's Mission, Vision, Core Values, and Clientship philosophy.
• Dedicated to fostering trusting relationships through collaboration, integrity, respect, and active listening
• Proven ability to deliver quality work through critical thinking, problem-solving, and sound judgment
• Proactively own projects, prioritize effectively, and meet deadlines in a fast-paced, growth environment.
• Superior organizational and planning skills with keen attention to detail
• Curious and improvement-minded, embracing feedback and continuously seeking better solutions.

Applicants must be authorized to work in the U.S.

We are an equal-opportunity employer. We do not discriminate in hiring or employment against any individual based on race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws.

Job Title : Nuclear Engineer (Naval Reactors Engineer) Category / Component : Officer • Active Overview Design, regulate, and oversee the Navy's nuclear propulsion program, including reactor design, fleet operations, and eventual defueling and decommissioning of nuclear powered ships and submarines from Naval Reactors Headquarters and associated Department of Energy laboratories and shipyards.

Key Responsibilities Provide technical direction in areas such as reactor and fluid systems design, reactor physics, materials development, component design for steam generators, pumps, and valves, instrumentation and control for reactor and propulsion plants, testing and quality control, radiation shielding, and chemistry and radiological controls; review designs and analyses from laboratories, shipyards, and industry partners; coordinate with fleet units to ensure safe and reliable nuclear plant operation.

What to Expect Assume significant technical responsibility early in your career as part of a lean headquarters staff; work primarily in an analytical and oversight role rather than operating plants at sea; balance long term engineering projects with time sensitive fleet and shipyard issues; frequent coordination with senior civilian engineers, naval officers, and technical teams; high expectations for attention to detail, judgment, and written and oral communication.

Work Environment Work mainly at Naval Reactors Headquarters in the Washington, District of Columbia area with regular engagement with Department of Energy laboratories, nuclear training sites, shipyards, and nuclear powered ships and submarines; office based work that includes document reviews, technical meetings, inspections, and site visits rather than day to day shipboard watchstanding.

Pathways, Training & Advancement Officer commissioning through programs such as Officer Candidate School or the Nuclear Propulsion Officer Candidate program followed by a structured technical qualification program at Naval Reactors; rotational exposure to laboratories, prototypes, shipyards, and fleet support issues; progressive responsibility leading projects and becoming a subject matter expert, with opportunities for professional military education and advanced graduate study in technical fields.

Entry through the Nuclear Propulsion Officer Candidate program for qualified college students and recent graduates, or selection via Officer Candidate School for those who already hold qualifying degrees; all applicants must meet Nuclear Propulsion Program academic and technical screening standards in addition to general officer commissioning requirements.

Qualifications All Navy jobs require meeting general enlistment or commissioning standards, which typically include: Eligibility to serve in the United States Navy, which may involve United States citizenship or other legal residency and work status, depending on the program and current law and policy A high school diploma or equivalent for enlisted positions, and a bachelor's or qualifying professional degree for officer positions Meeting age limits that vary by program and are set in law and Navy policy.

Some communities have more restrictive age ranges Meeting medical, vision, and dental standards, including body composition and physical fitness requirements, with some jobs requiring more demanding standards Meeting character and conduct standards, including background screening Achieving required test scores for your program, such as the Armed Services Vocational Aptitude Battery for enlisted roles or officer qualification tests for officer programs Eligibility for a security clearance when required for your rating or designator Additional qualifications can include specific skills, education, licensure, or experience that are unique to a job or community and will be reviewed with you by a recruiter.

Additional qualifications for this job may include: Completion of a rigorous technical degree in engineering, physics, mathematics, or a closely related field that includes strong backgrounds in calculus and physics; outstanding academic record, particularly in technical coursework; United States citizenship and eligibility for a high level security clearance; strong technical aptitude and comfort with detailed analytical work.

Education Education benefits are available through standard Navy programs such as Tuition Assistance, the Post-9/11 GI Bill, ACE-recommended college credit for Navy training, Navy COOL-funded certifications, USMAP apprenticeships, and other Navy College Program opportunities.

Specific options depend on the Sailor's status, training, and current Navy policy.

Pay, Benefits & Service Pay, benefits, and service commitments follow standard Navy Active and/or Reserve policies for this type of role, including basic pay, allowances when eligible, health coverage, and retirement options.

Exact entitlements, special pays, and service obligations depend on program, component, years of service, and current law and Navy guidance.

Incentives Incentives such as bonuses, special pays, and loan repayment may be available at times for specific ratings or communities, but they change frequently and cannot be guaranteed.

Applicants must confirm current incentives and eligibility with an official Navy recruiter or authoritative Navy source.

Notes and Disclaimers This description is a general overview of typical duties, training, and opportunities in this community.

It does not replace official Navy instructions, policies, or contracts and does not guarantee specific assignments, training, incentives, or outcomes.

Actual opportunities depend on Navy needs, individual performance, screening results, and current law and policy.

Akkodis is seeking a for a Manufacturing Project Manager job with a client in Rochester, NY. Must hold a Bachelor of Science degree with an emphasis on chemical, mechanical, or electrical engineering to be considered for this role. Will commission process systems as part of a startup team at client locations throughout the U.S. Will also provide ongoing client support at factory sites or via remote connection.

Salary Range: $110/year to $130/year; The salary may be negotiable based on experience, education, geographic location, and other factors.

Manufacturing Project Manager job responsibilities include:

• Continuous self-improvement.
• Cultivate professional relationships with clients.
• Read and understand project contract documents.
• Secure growth opportunities and initiate new projects.
• Develop project budgets and prepare and present proposals to clients.
• Develop and maintain project schedules and ensure projects meet deadlines.
• Ensure that project deliverables are met with the highest level of quality and within budget.
• Lead project teams comprised of process, electrical, and software engineers.
• Oversee all incoming and outgoing project documentation.
• Lead project review meetings with project teams and customers.
• Properly initiate, define, develop, execute, and close out projects.

Desired Qualifications:

• Bachelor of Science degree with an emphasis on chemical, mechanical, or electrical engineering is required.
• Minimum 10 years’ related experience
• Experience working within the food, beverage, dairy or pharmaceutical industries is required.
• Experience leading project teams and mentor individuals.
• Experience with process design and control system integration.

If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at 585-490-8656 or

Equal Opportunity Employer/Veterans/Disabled

Benefits offerings include but are not limited to:

• Medical/ Dental/Vision Insurance
• 401k
• Holidays and PTO

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

· The California Fair Chance Act

· Los Angeles City Fair Chance Ordinance

· Los Angeles County Fair Chance Ordinance for Employers

· San Francisco Fair Chance Ordinance

Roechling Medical Rochester offers customers a wide range of high-quality, customized components and assemblies, right through to end-to-end OEM products. The product portfolio also includes standard plastic products, with special expertise in the fields of diagnostics, fluid management, pharma, surgery and interventional, and much more. These areas of competence are complemented by an enhanced range of services for development and regulatory affairs, right through to approval of end-to-end medical products.

Job Summary:

The Estimator / Quoter reports to the VP of North America Sales and Marketing and is responsible for supporting the North American business by developing accurate and competitive cost estimates and quotations for tooling, non-recurring engineering (NRE), fixtures, and molded part pricing. This role requires a strong technical foundation in plastics injection molding and tooling, along with the ability to assess the overall business and technical fit of potential programs. The Estimator / Quoter plays a critical role in supporting new business decisions by balancing technical feasibility, cost, risk, and profitability.

This individual works closely with Engineering, Manufacturing, Supply Chain, and Finance to ensure estimates reflect true costs, realistic assumptions, and alignment with company capabilities and strategic objectives.

Essential Duties/Responsibilities:

Estimating & Quoting

• Develop detailed cost estimates and customer quotations for:
• Injection molding tooling (prototype, bridge, and production tools)
• Non-recurring engineering (NRE) activities
• Fixtures, gauges, and auxiliary equipment
• Piece-part pricing for molded components
• Contract manufacturing opportunities, including automation, secondary operations, and packaging equipment
• Estimate material costs, cycle times, machine rates, labor hours, and overhead assumptions.
• Prepare cost breakdowns that clearly communicate assumptions, risks, and cost drivers.
• Support the Key Account Managers (KAMs) with new product introduction (NPI) initiatives along with sustaining programs by providing revised or updated quotes as required.

Technical & Business Assessment

• Evaluate RFQs and technical packages to determine:
• Technical feasibility
• Tooling complexity and risk
• Volume expectations and scalability
• Requirements for automation, secondary operations, and packaging processes
• Alignment with internal manufacturing capabilities, equipment, and capacity
• Identify potential technical challenges, cost risks, or opportunities for cost optimization early in the quoting process.

Cross-Functional Collaboration

• Work closely with Engineering to:
• Review part designs, drawings, and specifications
• Define tooling concepts, manufacturing approaches, and assumptions
• Align estimated hours and technical scope
• Support obtaining External tooling solutions and ensure integration into applicable customer facing proposals
• Partner with Finance to:
• Validate costing models, margins, and pricing strategies
• Ensure consistency with standard costing and financial targets
• Interface with Operations, Tooling, and Supply Chain to obtain realistic inputs for labor, material, lead times, and external supplier costs.

Continuous Improvement & Support

• Maintain and improve estimating tools, templates, and cost models and use the data created for monthly/quarterly/annual metric/KPI reporting.
• Lead internal bi-weekly cross functional quote review meetings
• Capture lessons learned from completed programs to refine future estimates.
• Support commercial and engineering discussions with customers as needed to clarify scope, assumptions, or technical approaches.
• Stay current on industry trends, material pricing, tooling technologies, and injection molding best practices.

Required Skills/Abilities:

• Bachelor’s degree in engineering, manufacturing, or a related technical field, or equivalent industry experience.
• Strong technical background in plastics injection molding and tooling.
• Proven experience estimating or quoting tooling, NRE, and molded part pricing.
• Solid understanding of:
• Injection mold design and construction
• Manufacturing processes and cycle time drivers
• Plastics materials and their cost and processing implications
• Ability to estimate labor hours, material usage, and tooling complexity with a high degree of accuracy.

Preferred Qualifications

• Experience in medical device, automotive, or other regulated manufacturing environments.
• Familiarity with DFM/DFA principles and their impact on cost.
• Experience working with ERP, CRM, quoting, or costing systems.

Skills & Competencies

• Strong analytical and problem-solving skills.
• Highly organized and detail-oriented with the ability to maintain a clean, structured file system for all quoting activity.
• Ability to track, manage, and clearly communicate the status of multiple RFQs simultaneously.
• Ability to understand complex technical information and translate it into clear cost assumptions.
• Excellent attention to detail with the ability to balance speed and accuracy.
• Strong communication skills and the ability to collaborate across functions.
• Business-minded approach with an understanding of margin, risk, and long-term program value.
• Ability to manage multiple quotes and priorities simultaneously in a fast-paced environment.

Working Conditions

• Office and manufacturing environment.
• Occasional interaction with tooling shops and production areas.
• Limited overnight travel is required annually.

Roechling Medical Rochester (RMR) is an Equal Opportunity Employer. RMR does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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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