manufacturing engineer

staff manufacturing engineer

S&C Electric Company

<div><p>As an S&amp;C Electric team member, you&rsquo;ll work on projects that have real-world impact. You&rsquo;ll help transform the grid for resilient and reliable power worldwide. S&amp;C has more than a 100-year history of innovation and has been 100% employee-owned since 2012. We continue this legacy as a trusted, forward-thinking leader in the electrical industry. You will advance a safer, more reliable, and more resilient electrical grid. Our products help the grid adapt to severe weather and transition to clean energy. We&rsquo;re big enough to be a respected industry leader but small enough for you to impact our company directly. Our commitment gives you opportunities to impact on and off the job positively.
</p><p>Join S&amp;C to make an impact on tomorrow&rsquo;s energy challenges and become an employee-owner
</p><p><b>Hours
</b></p><ul><li><b>8:00 am &ndash; 5:00 pm (Mon-Fri) On-Site
</b></li></ul><p><b>Compensation
</b></p><p>At S&amp;C, we are dedicated to providing competitive and equitable compensation for all our team members, and we are committed to transparency in our pay practices. <b>The estimated annual base salary range for this position is $113,740 - $150,647. </b>Individual pay within this salary range is determined by several compensable factors, including performance, knowledge, job-related skills and experience, and relevant education or training. This role is also eligible for S&amp;C&rsquo;s annual incentive plan (AIP), subject to eligibility criteria.
</p><p><b>Join Our Team as a Staff Manufacturing Engineer!
</b></p><p>S&amp;C Electric Company is seeking a dynamic individual to join our Engineering team. As <b>a Staff Manufacturing Engineer, </b>you&rsquo;ll be crucial in ensuring continued innovation and supporting our diverse team.
</p><p>The Staff Manufacturing Engineer leads complex, cross-functional projects that span facilities, product lines, and systems. They are recognized subject matter experts in manufacturing engineering across value streams. They drive strategic planning, systems-level thinking, and mentor others, focusing on long-term improvements in safety, quality, delivery, and cost.
</p><p><b>Responsibilities
</b></p><p><b>Essential Functions:
</b></p><ul><li><p><b>Systems Project Execution: </b>Lead large-scale complex projects, such as relocating production lines across buildings or facilities. Organize cross-functional teams, define project scope, and manage execution across departments and facilities.
</p></li><li><p><b>Strategic Process Ownership: </b>Drive development and renovation standards for manufacturing processes, including equipment selection and purchasing strategies. Ensure alignment with long-term operational goals and safety, quality, design and cost metrics.
</p></li><li><p><b>Technical Expertise: </b>Serve as a go-to expert for resolving high-impact, complex manufacturing challenges. Provide expertise across departments. Apply advanced problem-solving methodologies to drive sustainable improvements.
</p></li><li><p><b>Equipment Management: </b>Manage equipment upgrades and replacements, including direct engagement with suppliers. Ensure that the equipment now meets performance, safety, and ergonomic standards.
</p></li><li><p><b>Cross-Functional Team Management: </b>Build and lead project teams composed of members from multiple departments. Coordinate efforts to ensure seamless integration of engineering solutions across the production system.
</p></li><li><p><b>Team Development: </b>Actively mentor and coach junior engineers and peers. Provide technical training and share expertise in specialized areas to build team capability and foster professional growth.
</p></li><li><p><b>Problem Solving: </b>Lead practical problem-solving (PPS) efforts to address safety, quality, and efficiency issues. Implement sustainable corrective actions and communicate decisions effectively to production teams.
</p></li><li><p><b>Compliance: </b>Understand and comply with all applicable Company policies and rules.<br>
</p></li></ul><p></p><p><b>Education &amp; Minimum Qualifications
</b></p><p><b>Required:
</b></p><ul><li>Bachelor's degree in Manufacturing, Industrial, or Mechanical Engineering.
</li></ul><p><b>Preferred:
</b></p>Master's degree in Manufacturing, Industrial, or Mechanical Engineering, or equivalent experience.<br>
<ul><li>
</li></ul><p></p><p><b>Certifications &amp; Licenses
</b></p><p><b>Preferred:
</b></p><ul><li>Six Sigma Black Belt Certification
</li>Project Management Professional (PMP)<br>
<li>
</li></ul><p></p><p><b>Skills, Knowledge &amp; Experience
</b></p><p><b>Required:
</b></p><ul><li><p>7- 9 Years of experience in manufacturing engineering, with proven experience in designing and implementing processes within a high-volume, high-mix, or semi-automated manufacturing environment.
</p></li><li><p>Great skills in effective problem-solving and leading project planning initiatives. Able to communicate across some levels of the organization related to concepts of supply-chain, production, and manufacturing.
</p></li><li><p>A great understanding of various manufacturing technologies and methods, preferably within the electronics manufacturing industry.
</p></li><li><p>Great interpersonal skills to establish meaningful relationships built on mutual trust and respect, and foster collaborative working relationships amongst a diverse audience.
</p></li><li><p>Great communication skills (written, verbal, listening, and presentation), able to partner with and communicate with customers, both technical and non-technical.
</p></li><li><p>Commitment to fostering a culture of continuous improvement and innovation within the quality function.
</p></li><li><p>Good mentoring and coaching skills to assist lower-level engineers and act as a technical knowledge mentor.
</p></li><li><p>Good organizational planning, coordinating internal and external resources, and juggling key demands.
</p></li><li><p>Sound business sense and analytical skills with the ability to use and analyze data to drive informed actions, solve complex problems, and drive learning.
</p></li><li><p>Ability to work in a fast-paced environment with tight deadlines, including the flexibility to work extended hours when necessary.
</p></li><li><p>Great computer skills and ability to use Microsoft Office applications, specifically Microsoft Word, Excel, PowerPoint, Project, and Power BI, or other similar systems. Including great data analysis skills.
</p></li></ul><p><b>Preferred:
</b></p><ul><li>Expertise in problem-solving methodologies such as 4SPS, root cause analysis, and continuous improvement initiatives.
</li>Leadership experience.<br>
<li>
</li></ul><p></p><p><b>Major Physical Demands:
</b></p><p>Sitting - Continuously you are required to remain in a stationary position and perform desk-based tasks.
</p><p>Walking - Occasionally required to walk moderate distances.
</p><p>Manual Dexterity - Infrequently required to use hand-eye coordination to control both hands and arms for a full range of motion to operate equipment.
</p><p>Ascending / Descending - Infrequently ascending or descending ladders/stairs/scaffolding/ramps/poles.
</p><p>Observation / Eyesight - Infrequently required to observe details at close range, including depth perception, peripheral vision, and the ability to differentiate between colors.
</p><p>Communication - Continuously required to talk and hear, in person and by phone/conference calls
</p><p>Travel - Infrequently required to travel and work extended hours when necessary. Required to travel overnight. Required to travel internationally.<br>
</p><p></p><p><b>Environmental &amp; Hazardous Conditions:
</b></p><p>Continuouslyworking indoors/outdoors in an air-conditioned/non-air-conditioned office/manufacturing/site-based environment
</p><p>Occasionallyexposure to fumes/vapors/dust/gases/odors/mist/toxic chemicals/radiation/vibration/grease/oils/radiation/lasers/other etc.
</p><p>Occasionallyexposed to low/moderate/high noise levels including machinery/vehicles/forklifts/office equipment/office traffic etc.
</p><p>Occasionally working around energized equipment with the risk of electrocution/scalding/burns/other etc.
</p><p>Infrequentlyexposure to wet humid/outdoor weather/extreme cold (non-weather)/extreme heat (non-weather) conditions/other etc.
</p><p>Infrequently working with machinery with moving parts/vehicles/forklifts/heavy machinery/sharp objects/other etc.<br>
</p><p></p><p>Ready to make an impact and become an employee-owner? Apply now to join our inclusive and innovative team! Explore open positions.<br>
</p><p></p><p>S&amp;C Electric is committed to equal-opportunity employment. All employees and applicants will be considered without regard to age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. If you are an individual with a disability and need an accommodation to complete the application, please email us at TAsupport@sandc.com .
</p><p><b>No fixed deadline
</b></p><p>#LI-KD1</p></div>
<br><div><p>In 1909, S&amp;C Electric Company transformed the delivery of safe, reliable electricity with the invention of the Liquid Power Fuse. Today, as the world faces extreme weather events and the demand for electricity grows, S&amp;C continues to innovate and advance the electrical grid, ensuring reliable and resilient power for homes, communities, and critical infrastructure around the world.
</p><p>With a diverse, global workforce and core values around integrity, safety, and quality, S&amp;C is a trusted industry leader and top workplace that offers meaningful careers to more than 3,500 team members. As a people-first organization, S&amp;C is committed to fostering an inclusive and collaborative workplace where team members advance their careers through robust talent-development programs and involved leadership.
</p><p>S&amp;C&rsquo;s deeply rooted belief diversity fosters greater creativity, innovation, and success guides the company to advance and sustain a diverse, equitable, and inclusive workplace culture.
</p><p></p><p><b>S&amp;C provides a comprehensive and competitive benefit package that includes the following (eligibility requirements apply):
</b></p><ul><li>Health and Welfare Benefits: Medical &amp; Prescription, Dental, Vision, Health Care and Dependent Care Flexible Spending Accounts, , Health Savings Account (HSA), Group Life Insurance, optional Supplemental Life and AD&amp;D Insurance, Wellbeing Resources including Employee Assistance Program and Family Forming Benefits (i.e., Adoption and Fertility support)
</li><li>Leave Benefits: Vacation Time, Sick Time, Paid Holidays and Company Shutdown days, Short-Term Disability, Long-Term Disability, Other Leaves, Paid Parental Time and Military Leave
</li></ul><p>Retirement Benefits: 401(k) Retirement Savings and Employee Stock Ownership Plan (KSOP) offering traditional and Roth 401(k) options and an Employee Stock Ownership Plan (ESOP) component; KSOP participants can receive annual ESOP company contributions of over 11% of eligible earnings (3% Core, up to 3.5% Match, Variable Periodic).</p></div>

Staff Manufacturing Engineer

DESTACO

<div>
 <p>
  <strong>
   Manufacturing Engineer
  </strong>
 </p>
 <p>
  <strong>
   Destaco, a Stabilus Company
  </strong>
 </p>
 <p>
  <strong>
   Wheeling, IL
  </strong>
 </p>
 <p>
 </p>
 <p>
  <strong>
   Company Profile
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  DESTACO, a Stabilus Company, is a global leader in the design and manufacture of high-performance automation, workholding, and remote handling solutions. The company serves customers in variety of end-markets, including the automotive, life sciences, consumer goods, packaging, aerospace, and nuclear sectors.
 </p>
 <p>
  Built on a legacy of over 100 years, DESTACO offers a comprehensive portfolio of products to engineer precise movement, placement and control solutions that drive productivity and uptime for manufacturers around the world. The DESTACO family of products consists of industry-leading brands such as DESTACO Manual and Power Clamps, Camco and Ferguson Indexers, Robohand Grippers and CRL Manipulators and Transfer Ports.
 </p>
 <p>
  DESTACO is based in Auburn Hills, Michigan, and operates globally through ~700 employees across 11 locations.
 </p>
 <p>
  With nearly 90 years of demonstrated expertise, The Stabilus Group is one of the world's leading providers of motion control solutions for customers across a broad spectrum of industries.
 </p>
 <p>
  Stabilus, approaching 1.5B EUR in revenue, is headquartered in Koblenz, Germany and employs more than 7,000 team members across 34 locations in 18 countries.
 </p>
 <p>
  Stabilus SE is listed in the Prime Standard segment of the Frankfurt Stock Exchange and included in the MDAX index. www.stabilus.com
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Position Summary
  </strong>
 </p>
 <p>
  The Manufacturing Engineer is responsible for developing, evaluating, and improving production and processing methods and controls in manufacturing to achieve operational excellence. He/she is responsible for recommending and implementing operational sequences, equipment utilization and tooling improvements and efficiencies to ensure cost, quality and operational improvements. He/she will assist in establishing work measurement standards and play an active role in ensuring quality, safety, and lean manufacturing systems and processes (SMED, Kaizen, 5S).
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Manufacturing Engineer reports to the Manufacturing Engineering Manager. The position requires the ability to build and maintain strong relationships with engineering, materials, operations, and quality, and work and communicate with various levels across the organization.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Job Responsibilities
  </strong>
  included but not limited to:
 </p>
 <p>
  Develops manufacturing process using ERP software (Oracle)
 </p>
 <p>
  Assists in the evaluation and development of manufacturing processes by studying product requirements and researching, designing, modifying, and testing manufacturing methods and equipment.
 </p>
 <p>
  Improves manufacturing efficiency by analyzing and planning workflow, space requirements, and equipment layout.
 </p>
 <p>
  Create or modify work holding designs and equipment used for the production process.
 </p>
 <p>
  Assures product and process quality by designing testing methods; testing finished- product and process capabilities; establishing standards; and confirming manufacturing processes.
 </p>
 <p>
  Complies with government regulations and managing environmental requirements.
 </p>
 <p>
  Assists setup personnel with process or tooling issues, recommending necessary fixturing and tooling used in manufacturing.
 </p>
 <p>
  Analyzes and solves process and tool-related problems, ensuring or increasing productivity.
 </p>
 <p>
  Makes recommendations to modify or replace equipment when necessary to support demand or improve productivity.
 </p>
 <p>
  Establishes and updates manufacturing standards (rates, BOM&rsquo;s, etc.)
 </p>
 <p>
  Ensure integrity of prints, bills of material, setup sheets and routings.
 </p>
 <p>
  Performs all work in a manner that ensures safety of self and others.
 </p>
 <p>
  Supports policies and procedures, including those governing the quality system as defined by ISO9001.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Leadership Competencies aligned with Stabilus and executed in DESTACO with appropriate expectations for the job level:
 </p>
 <p>
  <strong>
   <u>
    Entrepreneurial Spirit
   </u>
  </strong>
  : identifies opportunities to develop new solutions. Change agent, collaborates for results, manages risk, takes responsibility for all aspects of the organization.
 </p>
 <p>
  <strong>
   <u>
    Motivates &amp; Inspires:
   </u>
  </strong>
  Creates and drives change and encourages others to join in.
 </p>
 <ul>
  <li>
   <strong>
    <u>
     Results Driven
    </u>
    :
   </strong>
   Produces results that exceed the strategic objectives via a combination of planning and implementation, while living the DESTACO values.
  </li>
  <li>
   <strong>
    <u>
     Change Leadership
    </u>
    :
   </strong>
   Aligns an organization and its people to drive for improvement and adopt new, challenging directions. Energizes a whole organization to want to change in the same direction. Influences others in a mature and empowering manner.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Requirements
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Minimum 3 year experience in manufacturing engineering or related field
 </p>
 <p>
  Experienced in implementing Lean tools.
 </p>
 <p>
  Strong leadership skills with the ability to build, train and lead a strong positive team environment.
 </p>
 <p>
  Analyzes, solves, and implements solutions independently.
 </p>
 <p>
  Demonstrated proficiency with MS Office tools (Word, Excel)
 </p>
 <p>
  Demonstrated proficiency with CAD/CAM software (Solidworks, Mastercam)
 </p>
 <p>
  Working knowledge of Blue Print reading
 </p>
 <p>
  Working knowledge of manufacturing methods, tooling, fixturing and materials
 </p>
 <p>
  Effective written and verbal communication skills
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education and Certification Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Bachelor&rsquo;s degree in Mechanical Engineering, Manufacturing or related field
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Travel Requirements
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Minimal travel up to 10%
 </p>
</div>


Manufacturing Engineer

Huron Consulting Group

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Engineering Manager to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll lead the design, development, and delivery of data infrastructure that powers intelligent systems across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team&mdash;sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.<br>
<br>
This isn't a maintenance role or a ticket queue&mdash;you'll own the full data lifecycle from source integration through analytics-ready delivery, while leading and developing a team of data engineers. You'll build systems that matter: real-time data architectures that feed mission-critical ML models, transformation layers that turn messy enterprise data into trusted datasets, and orchestration systems that ensure reliability at scale. Our clients are Fortune 500 companies looking for partners who can engineer and lead, not just advise.<br>
<br>
The variety is real. In your first year, you might lead a lakehouse implementation for a global manufacturer's IoT data, oversee a real-time streaming architecture for a financial services firm's trading analytics, and architect a data mesh strategy for a utility company's distribution systems&mdash;all while developing the next generation of data engineering talent at Huron. If you thrive on solving complex data challenges, shipping production systems, and building high-performing teams, this role is for you.<div></div><div>
What You'll Do</div><ul><li>
Lead and mentor junior data engineers&mdash;provide technical guidance, conduct code reviews, and support professional development. Foster a culture of continuous learning and high-quality engineering practices within the team.</li><li>
Manage complex multi-workstream data engineering projects&mdash;oversee project planning, resource allocation, and delivery timelines. Ensure projects meet quality standards and client expectations while maintaining technical excellence.</li><li>
Design and architect end-to-end data solutions&mdash;from source extraction and ingestion through transformation, quality validation, and delivery. Make key technical decisions and own the overall data architecture.</li><li>
Lead development of modern data transformation layers using dbt&mdash;implementing modular SQL models, testing frameworks, documentation, and CI/CD practices that ensure data quality and maintainability at scale.</li><li>
Architect lakehouse solutions using open table formats (Delta Lake, Apache Iceberg) on Microsoft Fabric, Snowflake, and Databricks&mdash;designing schemas, optimizing performance, and implementing governance frameworks.</li><li>
Establish DataOps best practices&mdash;define and implement CI/CD pipelines for data assets, data quality monitoring, observability, lineage tracking, and automated testing standards to ensure data infrastructure remains reliable in production.</li><li>
Serve as a trusted advisor to clients&mdash;build long-standing partnerships, understand business problems, translate data requirements into technical solutions, and communicate architecture decisions to both technical and executive audiences.</li><li>
Contribute to business development&mdash;participate in business development activities, develop reusable assets and methodologies, and help shape the technical direction of Huron's data engineering capabilities.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
5+ years of hands-on experience building and deploying data pipelines in production&mdash;not just ad-hoc queries and exports. You've built ETL/ELT systems that run reliably, scale, and are maintained over time.</li><li>
Experience leading and developing technical teams&mdash;including coaching, mentorship, code review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent.</li><li>
Strong SQL and Python programming skills with deep experience in PySpark for distributed data processing. SQL for analytics and data modeling; Python/PySpark for pipeline development and large-scale transformations.</li><li>
Experience building data pipelines that serve AI/ML systems, including feature engineering workflows, vector embeddings for retrieval-augmented generation (RAG), and data quality frameworks that ensure model reproducibility. Familiarity with emerging agent integration standards such as MCP (Model Context Protocol) and A2A (Agent-to-Agent), and the ability to design data services and APIs that can be discovered and consumed by autonomous AI agents.</li><li>
Experience with modern data transformation tools, dbt particularly. You understand modular SQL development, testing, documentation practices, and how to implement these at scale across teams.</li><li>
Experience with cloud data platforms and lakehouse architectures&mdash;Snowflake, Databricks, Microsoft Fabric, and familiarity with open table formats (Delta Lake, Apache Iceberg). We're platform-flexible but Microsoft-preferred.</li><li>
Proficiency with workflow orchestration tools such as Apache Airflow, Dagster, Prefect, or Microsoft Data Factory. You understand DAGs, scheduling, dependency management, and how to design reliable orchestration at scale.</li><li>
Solid foundation in data modeling concepts: dimensional modeling, data vault, normalization/denormalization, and understanding of when different approaches are appropriate for different use cases.</li><li>
Excellent communication and client management skills&mdash;ability to communicate technical concepts to non-technical stakeholders, lead client meetings, and build trusted relationships with executive audiences.</li><li>
Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in building data infrastructure for ML/AI systems&mdash;feature stores (Feast, Databricks Feature Store), training data pipelines, vector databases for RAG/LLM workloads, or model serving architectures.</li><li>
Experience with real-time and streaming data architectures using Kafka, Spark Streaming, Flink, or Azure Event Hubs, including CDC patterns for data synchronization.</li><li>
Familiarity with MCP (Model Context Protocol), A2A (Agent-to-Agent), or similar standards for AI system data integration.</li><li>
Experience with data quality and observability frameworks such as Great Expectations, Soda, Monte Carlo, or dbt tests at enterprise scale.</li><li>
Knowledge of data governance, cataloging, and lineage tools (Unity Catalog, Purview, Alation, or similar).</li><li>
Experience with high-performance Python data tools such as Polars or DuckDB for efficient data processing.</li><li>
Cloud certifications (Snowflake SnowPro, Databricks Data Engineer, Azure Data Engineer, or AWS Data Analytics).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Contributions to open-source data engineering projects or active participation in the dbt/data community.</li><li>
Master's degree or PhD in a technical field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and data architectures that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new data ecosystem to master and a new platform to ship.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in data infrastructure. The pipelines you build will power real decisions&mdash;the ML models that drive production schedules, the dashboards that inform pricing strategies, the data products that enable self-service analytics. You'll see your work become the foundation others build on.</div><div>
A team that builds. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We write code, build pipelines, and deploy platforms. You'll work alongside engineers and data scientists who understand the craft and push each other to improve.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles.</div><div></div><div>
Position Level</div>
Manager<div></div><div>
Country</div>
United States of America</div>

Data Engineer (Manager)

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Engineer to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll design, build, and optimize the data infrastructure that powers intelligent systems across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
This isn't a maintenance role or a ticket queue&mdash;you'll own the full data lifecycle from source integration through analytics-ready delivery. You'll build pipelines that matter: real-time data architectures that feed mission-critical ML models, transformation layers that turn messy enterprise data into trusted datasets, and orchestration systems that ensure reliability at scale. Our clients are Fortune 500 companies looking for partners who can engineer solutions, not just write SQL.<br>
<br>
The variety is real. In your first year, you might architect a lakehouse solution for a global manufacturer's IoT data, build a real-time streaming pipeline for a financial services firm's trading analytics, and design a data mesh implementation for a utility company's distribution systems. If you thrive on solving complex data challenges and shipping production systems that ML teams and analysts depend on, this role is for you<div></div><div>
What You'll Do</div><ul><li>
Design and build end-to-end data pipelines (batch and streaming)&mdash;from source extraction and ingestion through transformation, quality validation, and delivery. You own the data infrastructure, not just a piece of it.</li><li>
Develop modern data transformation layers using dbt, implementing modular SQL models, testing frameworks, documentation, and CI/CD practices that ensure data quality and maintainability.</li><li>
Build and orchestrate workflows using Microsoft Fabric, Apache Airflow, Dagster, Databricks Workflows, or similar tools to automate complex data processing at scale.</li><li>
Architect lakehouse solutions using open table formats (Delta Lake, Apache Iceberg) on Microsoft Fabric, Snowflake, and Databricks&mdash;designing schemas, optimizing performance, and implementing governance frameworks.</li><li>
Ensure data quality and observability&mdash;implementing testing frameworks (dbt tests, Great Expectations), monitoring, alerting, and lineage tracking that maintain trust in data assets.</li><li>
Collaborate directly with clients to understand business requirements, translate data needs into technical solutions, and communicate architecture decisions to both technical and executive audiences.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
2+ years of hands-on experience building and deploying data pipelines in production&mdash;not just ad-hoc queries and exports. You've built ETL/ELT systems that run reliably and scale.</li><li>
Strong SQL and Python programming skills with experience in PySpark for distributed data processing. SQL for analytics and data modeling; Python/PySpark for pipeline development and large-scale transformations.</li><li>
Experience building data pipelines that serve AI/ML systems, including feature engineering workflows, vector embeddings for retrieval-augmented generation (RAG), and data quality frameworks that ensure model reproducibility. Familiarity with emerging agent integration standards such as MCP (Model Context Protocol) and A2A (Agent-to-Agent), and the ability to design data services and APIs that can be discovered and consumed by autonomous AI agents.</li><li>
Experience with modern data transformation tools, particularly dbt (data build tool). You understand modular SQL development, testing, and documentation practices.</li><li>
Experience with cloud data platforms and lakehouse architectures&mdash;Snowflake, Databricks, and familiarity with open table formats (Delta Lake, Apache Iceberg). We're platform-flexible but Microsoft-preferred.</li><li>
Familiarity with workflow orchestration tools such as Apache Airflow, Dagster, Prefect, or Microsoft Data Factory. You understand DAGs, scheduling, and dependency management.</li><li>
Solid understanding of data modeling concepts: dimensional modeling, data vault, normalization/denormalization, and knowing when different approaches are appropriate.</li><li>
Ability to communicate technical concepts to non-technical stakeholders and work effectively with cross-functional teams including data scientists, analysts, and business users.</li><li>
Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in building data infrastructure for ML/AI systems&mdash;feature stores (Feast, Databricks Feature Store), training data pipelines, vector databases for RAG/LLM workloads, or model serving architectures.</li><li>
Experience with real-time and streaming data architectures using Kafka, Spark Streaming, Flink, or Azure Event Hubs, including CDC patterns for data synchronization.</li><li>
Familiarity with MCP (Model Context Protocol) or similar standards for AI system data integration.</li><li>
Experience with data quality and observability frameworks such as Great Expectations, Soda, Monte Carlo, or dbt tests.</li><li>
Experience with high-performance Python data tools such as Polars or DuckDB for efficient data processing.</li><li>
Knowledge of data governance, cataloging, and lineage tools (Unity Catalog, Purview, Alation, or similar).</li><li>
Familiarity with DataOps and CI/CD practices for data pipelines&mdash;version control, automated testing, and deployment automation.</li><li>
Cloud certifications (Snowflake SnowPro, Databricks Data Engineer, Azure Data Engineer, or AWS Data Analytics).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Contributions to open-source data engineering projects or active participation in the dbt/data community.</li><li>
Master's degree in a technical field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and data architectures that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new data ecosystem to master and a new platform to ship.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in data infrastructure. The pipelines you build will power real decisions&mdash;the ML models that drive production schedules, the dashboards that inform pricing strategies, the data products that enable self-service analytics. You'll see your work become the foundation others build on.</div><div>
A team that builds. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We write code, build pipelines, and deploy platforms. You'll work alongside engineers and data scientists who understand the craft and push each other to improve.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership and shape our data engineering capabilities.</div><div></div><div>
Position Level</div>
Associate<div></div><div>
Country</div>
United States of America</div>

Data Engineer (Associate)

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Machine Learning Engineer to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll design, build, and deploy intelligent systems that solve complex business problems across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
This isn't a research role or a support function&mdash;you'll own the full ML solution lifecycle from problem definition through production deployment. You'll work on systems that matter: forecasting models that inform multi-million-dollar decisions, agentic AI systems that automate complex workflows, and operational ML solutions that transform how enterprises run. Our clients are Fortune 500 companies looking for partners who can deliver, not just advise.<br>
<br>
The variety is real. In your first year, you might build an agentic demand forecasting system for a global manufacturer, deploy an intelligent knowledge processing pipeline for a financial services firm, and architect an energy grid demand simulation model for a utilities company. If you thrive on learning new domains quickly and shipping intelligent production systems, this role is for you.<div></div><div>
What You'll Do</div><ul><li>
Design and build end-to-end ML solutions&mdash;from data pipelines and feature engineering through model training, evaluation, and production deployment. You own the outcome, not just a piece of it.</li><li>
Develop both traditional ML and generative AI systems, including supervised/unsupervised learning, time-series forecasting, NLP, LLM applications, RAG architectures, and agent-based systems using frameworks like Agent Framework, LangChain, LangGraph, or similar.</li><li>
Build financial and operational models that drive business decisions&mdash;demand forecasting, pricing optimization, risk scoring, anomaly detection, and process automation for commercial enterprises.</li><li>
Create production-grade APIs and services (FastAPI, Flask, or similar) that integrate ML capabilities into client systems and workflows.</li><li>
Implement MLOps practices&mdash;CI/CD pipelines, model versioning, monitoring, drift detection, and automated retraining to ensure solutions remain reliable in production.</li><li>
Collaborate directly with clients to understand business problems, translate requirements into technical solutions, and communicate results to both technical and executive audiences.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
2+ (3+ years for Sr. Associate) years of hands-on experience building and deploying ML solutions in production&mdash;not just notebooks and prototypes. You've trained models, put them into production, and maintained them.</li><li>
Strong Python and JavaScript programming skills with deep experience in the ML ecosystem (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow, etc.) and proficiency with JavaScript web app development.</li><li>
Solid foundation in ML fundamentals: supervised and unsupervised learning, model evaluation, feature engineering, hyperparameter tuning, and understanding of when different approaches are appropriate.</li><li>
Experience with cloud ML platforms, particularly Azure Machine Learning, with working knowledge of AWS SageMaker or Google AI Platform. We're platform-flexible but Microsoft-preferred.</li><li>
Proficiency with data platforms: SQL, Snowflake, Databricks, or similar. You're comfortable working with large datasets and building data pipelines.</li><li>
Experience with LLMs and generative AI: prompt engineering, fine-tuning, embeddings, RAG systems, or agent frameworks. You understand both the capabilities and limitations.</li><li>
Ability to communicate technical concepts to non-technical stakeholders and work effectively with cross-functional teams.</li><li>
Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related quantitative field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in forecasting, optimization, or financial modeling applications.</li><li>
Experience with deep learning frameworks such as PyTorch, Tensorflow, fastai, DeepSpeed, etc.</li><li>
Experience with MLOps tools such as MLflow and Weights &amp; Biases</li><li>
Contributions to open-source projects or familiarity with open-source ML tools and frameworks.</li><li>
Experience building agentic AI systems using Agent Framework (or predecessors), LangChain, LangGraph, CrewAI, or similar frameworks.</li><li>
Cloud certifications (Azure AI Engineer, AWS ML Specialty, or Databricks ML Associate).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Master's degree or PhD in a quantitative field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and problem types that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new domain to master and a new system to ship.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in AI. The models you build will inform real decisions&mdash;production schedules, pricing strategies, risk assessments, capital allocation. You'll see your work drive outcomes.</div><div>
A team that builds. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We write code, train models, and deploy systems. You'll work alongside engineers and data scientists who understand the craft and push each other to improve.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership and shape our capabilities.</div><div></div><div>
Position Level</div>
Associate<div></div><div>
Country</div>
United States of America</div>

Machine Learning Engineer (Associate)

City Colleges of Chicago

<div><p><b>ENGINEER</b></p><p><b>
MALCOLM X COLLEGE</b></p><p></p><p><b>
Malcolm X College</b> is seeking an <b>Engineer </b>for the Plant Maintenance Department for our Main Campus location.</p><p><b>
The Engineer Position is</b> responsible for providing efficient and professional Engineering services, operation and maintenance of the building and grounds.</p><p></p><p><b>
ESSENTIAL DUTIES:</b></p><p></p><ul><li> Ensures the safe and efficient operation of equipment, machinery and buildings.</li></ul><p></p><ul><li> Operates and repairs heating and ventilation equipment, steam plants, motors, combustion engines, pumps, air compressors, ice and refrigeration equipment, air conditioning units, fans and automatic/power oiling pumps and engines.</li></ul><p></p><ul><li> Adheres to all standards of operation, laws, statues, and industry best practices.</li></ul><p></p><ul><li> Maintains building equipment and machinery to keep them in excellent working conditions.</li></ul><p></p><ul><li> Adheres to CCC Customer Service Excellence standards.</li></ul><p></p><ul><li> Performs other duties as assigned.</li></ul><p></p><p><b>
Qualifications:</b></p><p></p><ul><li> Must possess a high school diploma or the equivalent.</li><li> Must possess a Stationary Engineers License recognized through the City Colleges of Chicago. Current membership in Local # 399&rsquo;s is preferred.</li></ul><p></p><ul><li> Knowledge of the operation and repair of heating and ventilation equipment, steam plants, motors, combustion engines, pumps, air compressors, ice and refrigeration equipment, air-conditioning units, fans and automatic/power oiling pumps and engines.</li></ul><p></p><ul><li> Experience in the operation and maintenance of a pool is preferred.</li></ul><p></p><ul><li> Must have familiarity with rooftop HVAC units.</li></ul><p></p><ul><li> Must have knowledge of other trades.</li></ul><p></p><ul><li> Experience with Johnson Controls BAS system preferred.</li></ul><p></p><p><b>
SALARY RANGE: 55.73 -57.40 Per Hour</b></p><p></p><p>
The rate paid is in accordance with the respective bargaining agreement.</p><p></p><p>
Benefits information is found at https://www.ccc.edu/departments/Benefits/</p><p></p><p><b>
Schedule: Tuesday &ndash; Saturday &ndash; 2PM &ndash; 10PM</b></p><p></p><p>
MXC was recognized for its best-in-class student and staff recruitment and retention practices, inclusive learning and working environments, and meaningful community service and engagement opportunities.</p><p><b>
This position is represented by the Local 399, Engineers Union.</b></p><p></p><p><b>
Chicago residency is required for all full-time employees within 6 months of hire.</b></p><p></p><p><b>
We are an equal opportunity and affirmative action employer</b><b>.</b></p><p><b>
Thank you for your interest in City Colleges of Chicago!</b></p></div><p></p>

Engineers

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Machine Learning Engineering Manager to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll lead the design, development, and deployment of intelligent systems that solve complex business problems across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Remarkably versatile, our Managers also spend significant time mentoring junior staff on the engagement team&mdash;sharing expertise, feedback, and encouragement. This promote<br>
s a culture of respect, unity, collaboration, and personal achievement.<br>
<br>
This isn't a research role or a support function&mdash;you'll own the full ML solution lifecycle from problem definition through production deployment, while leading and developing a team of engineers and data scientists. You'll work on systems that matter: forecasting models that inform multi-million-dollar decisions, agentic AI systems that automate complex workflows, and operational ML solutions that transform how enterprises run. Our clients are Fortune 500 companies looking for partners who can deliver, not just advise.<br>
<br>
The variety is real. In your first year, you might lead an agentic demand forecasting system for a global manufacturer, oversee an intelligent knowledge processing pipeline for a financial services firm, and architect an energy grid demand simulation model for a utilities company&mdash;all while developing the next generation of ML talent at Huron. If you thrive on learning new domains quickly, shipping intelligent production systems, and building high-performing teams, this role is for you.<div></div><div>
What You'll Do</div><ul><li>
Lead and mentor junior ML engineers and data scientists&mdash;provide technical guidance, conduct code reviews, and support professional development. Foster a culture of continuous learning and high-quality engineering practices within the team.</li><li>
Manage complex multi-workstream ML projects&mdash;oversee project planning, resource allocation, and delivery timelines. Ensure projects meet quality standards and client expectations while maintaining technical excellence.</li><li>
Design and architect end-to-end ML solutions&mdash;from data pipelines and feature engineering through model training, evaluation, and production deployment. Make key technical decisions and own the overall solution architecture.</li><li>
Lead development of both traditional ML and generative AI systems, including supervised/unsupervised learning, time-series forecasting, NLP, LLM applications, RAG architectures, and agent-based systems using frameworks like Agent Framework, LangChain, LangGraph, or similar.</li><li>
Build financial and operational models that drive business decisions&mdash;demand forecasting, pricing optimization, risk scoring, anomaly detection, and process automation for commercial enterprises.</li><li>
Establish MLOps best practices&mdash;define and implement CI/CD pipelines, model versioning, monitoring, drift detection, and automated retraining standards to ensure solutions remain reliable in production.</li><li>
Serve as a trusted advisor to clients&mdash;build long-standing partnerships, understand business problems, translate requirements into technical solutions, and communicate results to both technical and executive audiences.</li><li>
Contribute to practice development&mdash;participate in business development activities, develop reusable assets and methodologies, and help shape the technical direction of Huron's DSML capabilities.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
5+ years of hands-on experience building and deploying ML solutions in production&mdash;not just notebooks and prototypes. You've trained models, put them into production, and maintained them at scale.</li><li>
Experience leading and developing technical teams&mdash;including coaching, mentorship, code review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent.</li><li>
Strong Python and JavaScript programming skills with deep experience in the ML ecosystem (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow, etc.) and proficiency with JavaScript web app development.</li><li>
Solid foundation in ML fundamentals: supervised and unsupervised learning, model evaluation, feature engineering, hyperparameter tuning, and understanding of when different approaches are appropriate.</li><li>
Experience with cloud ML platforms, particularly Azure Machine Learning, with working knowledge of AWS SageMaker or Google AI Platform. We're platform-flexible but Microsoft-preferred.</li><li>
Proficiency with data platforms: SQL, Snowflake, Databricks, or similar. You're comfortable working with large datasets and architecting data pipelines.</li><li>
Experience with LLMs and generative AI: prompt engineering, fine-tuning, embeddings, RAG systems, or agent frameworks. You understand both the capabilities and limitations.</li><li>
Excellent communication and client management skills&mdash;ability to communicate technical concepts to non-technical stakeholders, lead client meetings, and build trusted relationships with executive audiences.</li><li>
Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related quantitative field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in forecasting, optimization, or financial modeling applications.</li><li>
Experience with deep learning frameworks such as PyTorch, Tensorflow, fastai, DeepSpeed, etc.</li><li>
Experience with MLOps tools such as MLflow and Weights &amp; Biases.</li><li>
Contributions to open-source projects or familiarity with open-source ML tools and frameworks.</li><li>
Experience building agentic AI systems using Agent Framework (or predecessors), LangChain, LangGraph, CrewAI, or similar frameworks.</li><li>
Cloud certifications (Azure AI Engineer, AWS ML Specialty, or Databricks ML Associate).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Master's degree or PhD in a quantitative field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and problem types that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new domain to master and a new system to ship.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in AI. The models you build will inform real decisions&mdash;production schedules, pricing strategies, risk assessments, capital allocation. You'll see your work drive outcomes.</div><div>
A team that builds. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We write code, train models, and deploy systems. You'll work alongside engineers and data scientists who understand the craft and push each other to improve.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles.</div><div></div><div>
Position Level</div>
Manager<div></div><div>
Country</div>
United States of America</div>

Machine Learning Engineer (Manager)

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