Engineering Jobs in Pasadena Ca Hybrid

Company: G2G Ventures Inc, PBC

Job Title: Project Manager, New Product Launches

Location: Hybrid – Santa Monica, CA (3 days per week in office)

Department: Product Development

Reports to: Director of New Product Launches

About Us:

We are a startup revolutionizing beauty with a purpose: create the industry standard of "clean." Our premium skincare, makeup, and body care formulations combine uncompromising safety, efficacy, and environmental responsibility. And our vision transcends products.

We are committed to inspiring confident women (and others) to recognize their collective power to create meaningful change. Our innovative community-commerce ecosystem connects customers, beauty enthusiasts, and loyalists, allowing each person to align with our brand in ways that authentically reflect their values and aspirations.

From our formulas to our advocacy efforts to our community connection, we lead clean.

About the Role:

The Project Manager, New Product Launches will drive the end-to-end execution of new product development and go-to-market initiatives. Reporting to the Director of New Product Launches, this role serves as the operational engine behind cross-functional product launches — ensuring timelines are met, stakeholders are aligned, risks are mitigated, and deliverables are executed with excellence.

This individual will manage the detailed workstreams required to bring products from concept through commercialization — partnering closely with Product Development, Operations, Supply Chain, Marketing, Creative, Sales, Finance, and external vendors.

The ideal candidate thrives in a fast-paced startup environment, is highly organized, and excels at turning strategy into action.

What You'll Do:

1. End-to-End Launch Management

• Build and manage comprehensive project timelines from concept to launch

• Define key milestones, dependencies, and critical paths

• Lead weekly cross-functional launch meetings and drive accountability

• Track risks, escalate issues proactively, and propose mitigation plans

• Ensure launches are delivered on time and aligned with business objectives

2. Cross-Functional Coordination

• Partner with Product Development on formulation, packaging, and testing timelines

• Collaborate with Operations and Supply Chain on forecasting, production, and inventory readiness

• Align with Marketing and Creative on campaign assets, messaging, and launch calendars

• Coordinate with Sales on retailer readiness, education tools, and sell-in timelines

• Ensure Finance alignment on costing, margin targets, and launch forecasts

3. Process & Operational Excellence

• Create and maintain standardized launch playbooks, templates, and tracking tools

• Improve workflows to increase efficiency and reduce time-to-market

• Maintain documentation including briefs, timelines, status reports, and post-mortems

• Support capacity planning and resource allocation across launch calendar

4. Vendor & External Partner Management

• Coordinate timelines with packaging vendors, contract manufacturers, testing labs, and creative agencies

• Track deliverables and hold partners accountable to agreed deadlines

• Support contract and SOW execution in partnership with leadership

5. Post-Launch Review & Optimization

• Lead post-launch retrospectives to identify wins and improvement areas

• Track launch performance metrics in partnership with Analytics and Sales

• Implement process improvements based on learnings

You'll Excel in This Role If You Are...

• Highly organized. You naturally create structure in ambiguity.

• Detail-oriented. Nothing slips through the cracks.

• Proactive. You anticipate risks before they become problems.

• Clear communicator. You drive alignment across diverse teams.

• Execution-driven. You love bringing ideas to life.

• Comfortable with pace. You thrive in dynamic, evolving startup environments.

What You'll Bring:

• 3–5 years of experience in project management, product development, brand operations, or related fields (beauty, CPG, or retail preferred)

• Proven experience managing cross-functional product launches

• Strong proficiency in project management tools (Asana, Monday, Jira, or similar)

• Excellent organizational and documentation skills

• Ability to manage multiple projects simultaneously with competing deadlines

• Strong interpersonal skills and ability to influence without authority

• Experience in beauty, skincare, or consumer goods strongly preferred

• Bachelor's degree or equivalent experience

Why This Role Is Exciting:

You'll play a pivotal role in shaping the future of a mission-driven beauty brand at a foundational stage. Your work will directly impact innovation, speed-to-market, and revenue growth. This is an opportunity to build scalable processes, influence cross-functional collaboration, and help define how clean beauty evolves in the market.

Counter is a people-powered movement that starts with those behind it. We're building a team that reflects the diversity of the communities we serve, where every individual is respected, supported, and empowered to thrive.

We know that different backgrounds, identities, and perspectives make us stronger, more creative, and better equipped to drive change. That's why we're committed to fostering an inclusive culture where everyone belongs.

Counter is proud to be an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, veteran status, or any other legally protected status. We encourage all individuals to apply and join us in shaping a cleaner, more inclusive future for all.

Job Description

Company: Counter

Job Title: Packaging Engineer

Location: Santa Monica, CA – hybrid role 2-3x a week in office

Reports To: Director of Sourcing and Director of New Product Launches

About Us

We are a startup revolutionizing beauty with a purpose; create the industry standard of "clean". Our premium skincare, makeup, and body care formulations combine uncompromising safety, efficacy and environmental responsibility. And our vision transcends products. We are committed to inspiring confident women and others to recognize their collective power to create meaningful change. Our innovative community-commerce ecosystem connects customers, beauty enthusiasts, and loyalists, allowing each person to align with our brand in ways that authentically reflect their values and aspirations. From our formulas to our advocacy efforts to our community connection, we lead clean.

The Role

The Packaging Engineer will be responsible for developing, sourcing, and executing high-quality, cost-effective packaging solutions that meet brand, quality, and sustainability standards. This role partners closely with cross-functional teams, including Product Development, Operations, and Sourcing, to support new product launches and ongoing production needs.

The Packaging Engineer will oversee component development, supplier management, and production readiness while driving process improvements to enhance efficiency and reduce costs.

Key Responsibilities

Packaging Development & Engineering

• Translate creative design concepts into functional, manufacturable, and cost-effective packaging solutions

• Collaborate with Design, Product Development, and Sourcing to ensure packaging aligns with brand standards, functionality, and cost objectives

• Interpret and approve engineering documents, including die lines, material specifications, and technical drawings

• Provide subject-matter expertise to ensure packaging feasibility and production readiness

• Lead design reviews and recommend improvements to enhance sustainability, quality, and efficiency

• Oversee tooling development, including status tracking, vendor coordination, and cost management

Supplier Management & Sourcing

• Lead supplier evaluations, RFQs, and cost of goods (COGs) analyses to ensure quality, value, and timely delivery

• Build and maintain strong relationships with packaging vendors and contract manufacturers

• Identify cost drivers and apply a total cost of ownership approach to decision-making

• Manage packaging component orders and monitor supplier performance for cost, quality, and delivery

• Conduct on-site visits for supplier assessments, color matching, and first production runs as needed

Production Planning & Quality Assurance

• Coordinate with suppliers and internal teams to ensure on-time delivery of packaging components for production and new product launches

• Oversee packaging inventory levels to support production planning and business continuity

• Support first production runs through on-site quality assurance and troubleshooting

• Collaborate cross-functionally with Supply Chain, Planning, and Logistics to ensure readiness for on-time launches

• Drive initiatives to reduce waste, streamline processes, and improve overall packaging sustainability

Process Improvement & Cross-Functional Collaboration

• Develop and implement best-in-class packaging development processes, documentation, and tools

• Partner with Product Development, Regulatory, Planning, Finance, and Logistics to ensure seamless cross-functional alignment

• Champion continuous improvement initiatives and contribute to operational excellence

• Support packaging technology transfers and process standardization across product lines

Qualifications Required

• Bachelor's degree in Packaging Science, Industrial Design, Engineering, or a related field

• 5-6+ years of experience in packaging development, preferably within the beauty, skincare, or consumer goods industry

• Strong knowledge of packaging materials, manufacturing processes, and structural engineering principles

• Proven experience conducting RFQs, COGs analyses, and managing supplier relationships

• Excellent communication, organization, and project management skills

• Advanced Excel proficiency and familiarity with ERP systems (e.g., NetSuite, SAP, Oracle)

• Ability to work independently and collaboratively in a fast-paced, high-growth environment

Preferred

• Experience with sustainability initiatives and waste-reduction strategies

• Knowledge of clean beauty standards and eco-conscious materials

• Familiarity with PLM systems and technical documentation best practices

• Willingness to travel for supplier meetings, production evaluations, and quality reviews

Counter is a people-powered movement that starts with those behind it! We're building a team that reflects the diversity of the communities we serve, where every individual is respected, supported, and empowered to thrive.

We know that different backgrounds, identities, and perspectives make us stronger, more creative, and better equipped to drive change. That's why we're committed to fostering an inclusive culture where everyone belongs.

Counter is proud to be an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender/gender identity or expression, age, national origin, disability, veteran status, or any other legally protected status. We encourage all individuals to apply and join us in shaping a cleaner, more inclusive future for all.

Arena Staffing has partnered with a boutique architecture studio in Los Angeles County to hire a Project Architect to help drive technical delivery across active projects. This is a hands-on role for someone who enjoys clear documentation, tight consultant coordination, and keeping projects moving through DD → CD → CA with calm, steady execution.

If you're the kind of architect who can run a strong Revit set, coordinate consultants effectively, and bring order to deadlines without creating chaos—this role will feel like a fit.

Why you'll want this role (the sizzle)

Here's the "what's in it for you":

• Real ownership: You'll be a key technical driver, not a background production seat.
• Variety of work: Multiple projects, multiple phases, meaningful built environment impact.
• Hybrid cadence: Collaboration-forward, with 1 remote day per week.
• Strong stability: Established studio with consistent work and a clear need for delivery support.
• Team-oriented environment: You'll work closely with leadership and a small, capable project team.
• Benefits that matter: Healthcare, dental/vision, retirement plan, PTO, holidays, and more.

Role snapshot

Title: Project Architect (Licensed)

Location: Los Angeles County, CA (hybrid; in-office required, 1 remote day/week)

Schedule: Full-time, exempt

Compensation: $120,000–$135,000 base (DOE)

Benefits: Medical, dental, vision, life insurance, retirement plan, PTO/holidays (details shared during process)

Your mission

Own the technical flow of projects and protect documentation quality—while keeping coordination clean and deadlines realistic. You'll help translate design intent into buildable, code-compliant sets and support the team through permitting and construction.

A strong first 90 days includes:

• Learning and adopting the studio's Revit + documentation standards quickly
• Establishing a consistent coordination rhythm with consultants
• Tightening QC to reduce rework and late-stage surprises
• Owning plan check responses and corrections efficiently

What you will own

Technical delivery (DD → CD → CA)

• Lead project documentation from design development through construction administration
• Produce coordinated, code-aligned drawing sets with clear constructability

Revit production & standards

• Drive Revit modeling + documentation workflows (production and coordination)
• Maintain organized models, sheets, details, and standards across deliverables

Consultant coordination

• Coordinate engineering/consultant inputs into a cohesive CD set
• Track issues, close loops, and prevent coordination drift

Plan check + corrections

• Respond to plan check comments and manage corrections with urgency and accuracy

Team coordination

• Delegate tasks clearly, support production flow, and keep internal deliverables on track

Construction administration support

• Support CA items such as RFIs/submittals/site documentation and technical issue resolution

Must-have requirements

• Bachelor's or Master's degree in Architecture
• Active California architectural license (required)
• 12+ years of professional experience
• Advanced Revit capability (design + production)
• Strong organization/time management across multiple projects and phases
• Plan check correction experience
• Consultant coordination experience (engineering + integrated set delivery)
• Contract familiarity
• Working knowledge of California codes and accessibility as applied to CDs/CA

Nice-to-have requirements

• Mentoring/delegation strengths and clean task direction
• Fee/schedule awareness and delivery discipline
• Calm, collaborative, accountable working style

Interview process

Round 1: On-Site to meet the partners (45-60 minutes)

Round 2: On-site panel interview (45–60 minutes)

Compliance statement

Arena Staffing and our client are equal opportunity employers. Qualified applicants are considered without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other protected status under applicable law. Reasonable accommodations are available throughout the hiring process.

CNM LLP is a technical advisory services firm that works with the top local talent on the most comprehensive and intriguing projects for discerning clients ranging from start-ups to closely held mid-market companies to large multi-national Fortune 1000 firms. The CNM reputation is built upon a foundation of professional excellence and trusted relationships and is recognized nationally for commitment to excellence. Employees value the open and honest environment, consistent focus on work life balance and an outstanding culture that is difficult to find anywhere else in the professional services industry. This unwavering attention to providing an exceptional work environment has enabled CNM to be recognized as a Great Place to Work for three consecutive years, as well as one of the Best Places to Work in Los Angeles and Orange County.

We are currently searching for a Manager to join our high performing IT Internal Audit Advisory team in Los Angeles. We offer a hybrid (remote/onsite) work environment that will allow you to continue working with the flexibility that they have grown accustomed to over the past year, while also continuing to provide onsite service to our fantastic clients. There is local travel throughout Los Angeles only.

Responsibilities

• Creating system narratives, identifying key controls, and concluding on design and operating effectiveness of key controls
• Assist on the follow IT Internal Audit projects ( IT Strategy, Infrastructure Audits, Data Governance, Configuration Management)
• Advanced knowledge of recognized technology frameworks (COBIT, ITIL, FFIEC, etc.)
• Manage project teams to review and evaluate IT environments, risks, internal audit projects, and compliance
• Experience supporting clients in a co-sourced or fully outsourced IT Internal Audit team
• Manage project teams to review and assess IT environments, risks, internal audit projects, and compliance for companies that range from newly public high growth entities in rapidly changing environments to the largest entertainment and public companies.
• Ensure that our people and teams come first and that our exceptional culture continues to grow our people, providing opportunities for advancement for all team members
• Lead, develop, mentor and train teams
• Recommend internal control solutions that balance client resource constraints with the need to mitigate risk
• Maintain and build strong, collaborative client relationships
• Demonstrating clear and concise writing, and verbal skills to communicate complex issues in simple terms to clients and team members
• Producing quality deliverables evidenced through the need for minimal review time accurate review notes
• Respond to client needs and balance competing priorities with minimal client disruptions, while maintaining project progress

Qualifications

• BA/BS in Information Systems, Computer Science, Accounting, Business, Finance, Economics, Mathematics, Sciences, Engineering or related
• Minimum 5 IT Audit in professional services(Big 4 or mid-tier firm)
• Strong experience with IT Internal Audit
• Demonstrated track record in delivering internal audit advisory engagements to Financial Services clients within a professional services capacity is highly preferred
• Proficient in assessing IT general controls, IT application controls, key reports, and SOC reports
• Desire to pursue CISA, CIA, and/or CISSP (we compensate and reward for attaining these certifications)
• Familiar with industry research boards, standards, and frameworks, (IIA, PCAOB, AICPA, COSO, etc.)
• Able to think critically, maintain logical thought processes, and distill data effectively
• Excellent documentation and written skills, as well as exemplary verbal communication skills

Pay and Benefits

• 40-hour work week
• Training events to ensure CPE compliance
• Medical, Dental, Vision Plans
• 401(k) match
• PTO: 15 days accrued per year
• Company paid holidays, including company shutdown the week between Christmas and New Years
• 3 wellness days
• Various opportunities for peer engagement: quarterly huddles, happy hours, summer and a holiday party
• Monthly mobile reimbursement
• Reimbursement allowances: flex, technology, and health and wellness
• Fully stocked kitchen
• Overtime bonus and Performance bonus in addition to the base pay

CNM LLP offers an excellent base, bonus and incentive compensation package. The benefits package is designed to meet an employee's needs regardless of the stage an employee is at including medical, dental, paid maternity and parental leave, 401(k) with match and flexible spending accounts for employees and dependents. We offer training that assists employees in reaching their career goals and, in addition to a regular paid time off policy, we also offer an extra five days off between Christmas and New Year holidays annually for firm-wide shut down. CNM believes in social interaction and networking and employees participate in unbelievable social events each summer and winter. The firm also supports employees offering an annual technology bonus, health and wellness bonus, monthly cell phone reimbursement, fully stocked kitchens with food, drink and snacks and much, much more. Please reach out to our talent team and we will walk you through why you deserve a career with CNM LLP.

Please note: all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws.

About the Organization:

We are in the middle of a true operational transformation — moving from tribal knowledge and reactive processes to a disciplined, data-driven, standardized manufacturing environment. This is not “check-the-box Lean.” We are building systems, accountability, and a sustainable culture of continuous improvement. If you are hands-on, execution-focused, and motivated by measurable results, this is an opportunity to drive real change.

Position Overview:

The Continuous Improvement Plant Director will lead high-impact operational improvement initiatives across manufacturing. This role goes beyond analysis — you will implement solutions, train teams, standardize processes, and ensure improvements are sustained. High visibility role working cross-functionally with Production, Quality, Engineering, and Supply Chain, with direct visibility to senior leadership.

Responsibilities:

• Lead continuous improvement and lean manufacturing initiatives
• Identify and eliminate operational bottlenecks (quality escapes, rework, prep time, inefficient assembly, material flow issues, etc.)
• Lead Lean and Six Sigma (DMAIC) projects delivering measurable improvements in cost, quality, and cycle time
• Drive root cause analysis and implement sustainable corrective actions
• Convert tribal knowledge into Standard Work, SOPs, and clear work instructions and help move the operation toward a paperless, analytics-driven environment
• Support development of scalable, repeatable processes
• Develop and track KPIs (scrap, rework, downtime, OTD, cycle time)
• Analyze shop floor data and present actionable insights to leadership
• Measure and report savings in dollars, hours reduced, and risk mitigation
• Support ERP improvements, system integrations and implement visual management tools and structured shop floor controls
• Implement digital tools (Power BI, Excel, Power Automate, digital checklists)
• Deliver hands-on Lean/CI training to operators, leads, and supervisors
• Lead Kaizen events, Gemba walks, and cross-functional improvement workshops
• Reinforce accountability and continuous improvement mindset at all levels

Requirements:

• Bachelor’s degree in Industrial, Manufacturing, Mechanical Engineering, or related field
• 7+ years of hands-on manufacturing engineering or continuous improvement experience
• Strong knowledge of Lean Manufacturing (5S, VSM, SMED, Poka-Yoke, Visual Management) and Six Sigma (DMAIC, root cause analysis)
• Experience developing standard work, driving real improvements, measurable cost savings, cycle time reductions and shop floor digital tools
• Bilingual English/Spanish Required

Nice to Have:

• Six Sigma Black/Green Belt or Lean certification
• Background in Aerospace, heavy fabrication, or complex assembly preferred
• Experience leading ERP transitions, implementing MES and digital work instruction systems
• Knowledge of ISO 9001 or AS9100 a Huge Plus
• Demonstrated track record of measurable operational improvements
• Self-starter who takes ownership, stands behind data-driven decisions, and thrives in a hands-on environment

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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