Sr. Data Engineer – Manufacturing Analytics - remote

Cognizant; Washington (District of Columbia); Remote; USD 100,000 - 130,000; Full time

Job summary

A leading technology company in Washington, DC is seeking a seasoned data analyst with a strong command of Python and extensive experience in manufacturing analytics. The ideal candidate will develop frameworks for evaluating production stages, provide insights through visualizations, and collaborate with cross-functional teams. A Bachelor's in Computer Science and minimum 10 years of experience are required. The position offers an opportunity to drive data-driven decisions in a manufacturing environment.

Qualifications

• Minimum 10 years of experience in Python.
• Proficiency in Python for data analysis and modeling.
• Experience with statistical methods and basic machine learning.

Responsibilities

• Develop analytical frameworks for potato fries production.
• Collaborate with plant and engineering teams.
• Translate datasets into actionable insights.

Skills

Python for data analysis

Data visualization tools (Python libraries, Power BI)

Statistical methods

Machine learning techniques

Communication skills

Problem-solving skills

Manufacturing domain knowledge

Education

Bachelor's in Computer Science

Tools

Python

Power BI

SCADA

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.