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Sr. Data Engineer – Manufacturing Analytics - remote

Cognizant

Montpelier (VT)

Remote

USD 90,000 - 120,000

Full time

Today
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Job summary

A leading technology firm located in Montpelier, Vermont is looking for an experienced Data Analyst to develop analytical frameworks and collaborate with teams for effective decision-making. The role requires a strong command of Python and a minimum of 10 years of experience, along with a Bachelor's degree in Computer Science. Ideal candidates will also have a background in manufacturing. Competitive salary and benefits offered.

Qualifications

  • Minimum 10 years of experience in Python.
  • Experience designing or enhancing analytical frameworks from scratch.
  • Exposure to manufacturing data systems is a plus.

Responsibilities

  • Develop analytical frameworks for potato fries production.
  • Collaborate with plant teams for data-driven decision-making.
  • Translate datasets into actionable visual insights.
  • Build tools to monitor key performance metrics.

Skills

Technical & Analytical Proficiency
Strong command of Python for data analysis and modeling
Experience with time-series and operational datasets
Statistical methods and machine learning techniques
Data Visualization & Communication
Proficient in visualization tools like Power BI
Ability to present data findings clearly
Skilled in storytelling through presentations
Manufacturing Domain Acumen
Interest in manufacturing/operations
Understanding plant operations
Problem Solving & Initiative
Comfortable with ambiguous problems
Experience enhancing analytical frameworks
Communication & Stakeholder Engagement
Strong written and verbal communication skills
Confidence in presenting insights

Education

Bachelors in Computer Science
Job description
Responsibilities
  • Develop and iterate on analytical frameworks to evaluate capacity, throughput, and system constraints across potato fries production stages.

  • Collaborate closely with plant teams, engineering, and insights teams to validate assumptions, refine models, and support data-driven decision-making.

  • Translate complex datasets into actionable insights through impactful visualizations.

  • Build tools and dashboards to monitor key performance metrics and enable self-service analytics.

Key Skills & Qualifications
  1. Technical & Analytical Proficiency

  2. Strong command of Python for data analysis and modeling.

  3. Experience working with time-series and operational datasets.

  4. Familiarity with statistical methods and basic machine learning techniques.

  5. Data Visualization & Communication

  6. Proficient in visualization tools such as Python libraries and Power BI.

  7. Ability to present data findings in clear, concise, and actionable formats.

  8. Skilled in storytelling through presentations for both technical and non-technical audiences.

  9. Manufacturing Domain Acumen

  10. Interest or experience in manufacturing, operations, or industrial systems (e.g., refrigeration, production lines, capacity planning).

  11. Ability to understand plant operations and contextualize analysis within process flows and constraints.

  12. Problem Solving & Initiative

  13. Comfortable tackling ambiguous problems and structuring analytical approaches.

  14. Experience designing or enhancing analytical frameworks from scratch.

  15. Communication & Stakeholder Engagement

  16. Strong written and verbal communication skills with a top-down approach.

  17. Ability to collaborate across engineering, operations, and analytics teams.

  18. Confident in presenting insights and recommendations to mid-to-senior level stakeholders.

Qualifications

Minimum 10 Years of experience in Python

Must have a Bachelors in Computer Science

Nice to Have
  • Exposure to manufacturing data systems (e.g., PI System, SCADA, MES).

  • Experience with simulation tools or modeling physical processes (e.g., heat transfer, fluid dynamics).

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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