Co-Op: Financial Data Engineer

Clorox is the place that's committed to growth - for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace

Your role at Clorox:

*This position is part-time, remote, up to 20 hours per week during business hours*

As a Data Engineer Co-Op at our organization, you will have the opportunity to work with cutting-edge technologies within the Azure stack. You'll specifically collaborate with the Finance Transformation Team, gain hands-on experience, and contribute to impactful data engineering and machine learning projects. If you're passionate about data, analytics, AI, and cloud technologies, with an opportunity to learn business data acumen, this role is perfect for you!

In this role, you will:

Quality Assurance (QA) Tasks :

• Assist in identifying and resolving QA bugs related to data pipelines and processes.
  
  
• Validate data accuracy, completeness, and consistency.
  
  

Pipeline Engineering :

• Participate in designing, building, and maintaining data pipelines.
  
  
• Implement data transformations, data cleansing, and ETL processes.
  
  
• Collaborate with senior engineers to enhance pipeline efficiency.
  
  

Small Feature Development :

• Take ownership of small features within the data pipeline.
  
  
• Write code to handle data ingestion, processing, and storage.
  
  

Independent Project :

• Lead a small independent project related to data engineering.
  
  
• Choose a topic of interest (e.g., optimizing pipeline performance, automating data validation).
  
  
• Present your findings and recommendations to the team.
  
  

What we look for:

Education :

• Current student pursuing a Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Business Analytics, Business Intelligence, or a related field.

Technical Skills :

• Proficiency in SQL, Python, and PySpark.
• Familiarity with Azure services such as Data Factory, Synapse, Databricks, and Azure Functions.
• Experience with data integration using APIs.
• Knowledge of data visualization tools (Power BI, Tableau).
• Knowledge/Prior experience of Gen AI, ML concepts
• Ability to develop ML models independently
  
  

Analytical Skills :

• Strong problem-solving abilities.
• Ability to document business requirements effectively.
  
  

Collaboration and Communication :

• Excellent teamwork and communication skills.
• Visual design skills are a plus.

Workplace type:
Remote

Our values-based culture connects to our purpose and empowers people to be their best, professionally and personally. We serve a diverse consumer base which is why we believe teams that reflect our consumers bring fresh perspectives, drive innovation, and help us stay attuned to the world around us. That's why we foster an inclusive culture where every person can feel respected, valued, and fully able to participate, and ultimately able to thrive. Learn more

Benefits we offer to help you be well and thrive:

• Competitive compensation
  
• Generous 401(k) program in the US and similar programs in international
  
• Health benefits and programs that support both your physical and mental well-being
  
• Flexible work environment, depending on your role
  
• Meaningful opportunities to keep learning and growing
  
• Half-day Fridays, depending on your location
  

Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times.

To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes.