Data Engineer

The Clorox Company • Durham, NC

1d • Hybrid

About The Position

We are seeking an experienced and highly skilled data engineer to join our enterprise data strategy and operations team. The ideal candidate will have extensive expertise in building and maintaining data pipelines and data solutions on cloud platforms, particularly Azure. This role involves building data engineering products, optimizing data processing workflows, ensuring data quality and governance, and collaborating with cross-functional teams to support analysis and insights generation to fuel large scale ideation and road mapping associated with revenue growth and margin improvements projects at scale across the enterprise. The Data Engineer at Clorox will play a critical role in building and delivering enterprise-quality data solutions that enable data-driven business decisions across the organization. This role requires an analytical thinker with a product mindset and a strong background in business intelligence and cloud-based data engineering, capable of leveraging technology to design and scale high‑value data products. As a key collaborator with business analytics and enterprise technology partners, the Data Engineer will help innovate, build, and sustain Clorox’s cloud data infrastructure, supporting and accelerating the company’s digital transformation efforts.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field with 3–5 years of experience, or a Master’s/PhD with 1–3 years of experience.
• Hands-on experience designing and delivering data solutions such as data warehouses, data lakes, or lakehouse architectures.
• 2–3 years of experience working with cloud data platforms (e.g., Microsoft Azure, AWS, or similar).
• Strong experience building, deploying, and supporting end-to-end data pipelines, including ETL/ELT processes.
• Proficiency in SQL, Python, and Spark (including PySpark and Pandas) for data processing and transformation.
• Working knowledge of modern cloud data tools such as Azure Data Factory, Databricks, Delta Lake, or equivalent technologies.
• Solid understanding of data modeling, dimensional modeling, performance optimization, and medallion/lakehouse architectures (Bronze, Silver, Gold).
• Experience developing and maintaining BI reports and dashboards using tools such as Power BI, Tableau, or similar platforms.
• Familiarity with data security and governance concepts, including row-level security, data masking, and access controls.
• Ability to collaborate effectively with senior engineers, architects, and business stakeholders to deliver scalable, reliable data solutions.
• Strong problem-solving, communication, and documentation skills, with the ability to translate business needs into technical solutions.

Nice To Haves

• exposure to MLOps, GenAI/LLM-based data applications, Microsoft D365 Dataverse, or Microsoft Fabric reporting.

Responsibilities

• Collaborate & Lead: Work closely with business product owners, data scientists, analysts, and cross-functional stakeholders to understand the business’ data needs.
• Work with business partners to build technical solutions and to adhere to technical architecture standards.
• Work with contractors to create efficient and effective data solutions.
• Architecting and Innovate: Utilize Azure Data Factory, Databricks, Python, Spark, and other tools to develop, and deploy cutting-edge robust data pipelines, data models, semantic modeling layers and dynamic data solutions.
• Develop high-quality code to process and move vast amounts of data and integrate systems across diverse technical platforms.
• Develop, sustain, implement data improvements and optimization techniques to enhance the data products.
• Optimize and Scale: Build and maintain data pipelines to integrate data from various source systems.
• Optimize data pipelines for performance, reliability and cost-effectiveness.
• Work with enterprise infrastructure and technology teams to implement best practices for performance monitoring, cloud resource management, including scaling, cost control and security.
• Ensure Quality and Governance: Ensure safe custody, transport and storage of data in the data platforms.
• Collaborate with Data Governance Stewards and Business Stakeholders to enforce the business rules, data quality rules and data cataloging activities.
• Ensure data quality, security and compliance for the data products responsible under this role.
• Enhance BI Capabilities: Develop and manage business intelligence solutions for the organization to transform data into insights that can drive business value.
• Help Analytics Product Owners and Business Leaders improve business decisions through data analytics, data visualization, and data modeling techniques and technologies.

Benefits

• comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility/adoption benefits, and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level