Senior Staff Data Engineer
4 weeks ago
We are seeking a highly skilled Senior Staff Data Engineer to join our Customer Information Management (CIM) team at Grainger. As a key member of our team, you will be responsible for designing and developing data pipelines and data products to drive growth actions across sales and marketing.
The team's primary mission is to build analytical data products by creating, gathering, maintaining and operationalizing real-world information about our customers. You will work closely with SMEs, architects, analysts, data scientists, stakeholders and others to build solutions that integrate, process and store data from many of our internal and external enterprise data sources.
This role will be reporting to the Manager, CIM, Product Engineering and is based out of Chicago. As a Senior Staff Data Engineer, you will be responsible for enabling analytics and reporting by centralizing and integrating high quality, large, complex data sets in a highly performant and scalable cloud analytical platform.
You will work closely with architects, stakeholders, and product teams to implement data pipelines to ingest, cleanse, and enrich data for analytics to downstream stakeholders. You will design and implement secure, performant data models to meet the scalability and performance needs of data products.
You will understand trends and emerging technologies and evaluate the performance and applicability of potential tools for our requirements. You will build data models with DBT to transform data and ensure data quality by creating DBT unit tests.
You will build and maintain the data quality dashboards in Streamlit. You will partner with stakeholders including data, design, product and executive teams and assist them with data-related technical issues.
You will develop data products/systems using large and complex data sets to meet business and technical requirements. You will work with product and business to define roadmap, communication and architecture.
You will promote effective team practices, shape team culture, and engage in active mentoring. You will pair program with developers daily to ensure better quality code, shared knowledge and increased resiliency of our applications.
You will advocate for best practices on the team and prescribe coding and testing standards and tools. You will work across the CIM Domain to establish best practices and coherent ways of working between and within teams.
Requirements:
- 10 years of experience with Modern Data Engineering projects and practices: designing, building, and deploying scalable data pipelines
- 5 + years of experience in designing building deploying cloud native solutions
- At least 3 years of experience with AWS, Snowflake, DBT, Airflow/Astronomer, Python, Docker/Kubernetes, CI/CD, Git, familiarity with Databricks
- Experience in working closely with architects to design and develop data lake, data pipelines, and data product publication strategy
Familiarity with:
- Data mesh architecture
- Experience designing and implementing efficient, reusable, and scalable data processing systems and pipelines in Databricks and Snowflake.
- Educate and mentor the junior data engineers on data engineering best practices.
- Experience partnering with internal departments to establish requirements
- Proven experience collaborating across teams to develop and implement data engineering best practices.
- Exposure to analytics and machine learning
- Familiarity with BI tools such as Tableau, PowerBI
Rewards and Benefits:
- With benefits starting day one, Grainger is committed to your safety, health and wellbeing. Our programs provide choice and flexibility to meet our team members' individual needs.
- Medical, dental, vision, and life insurance plans
- Generous paid time off (PTO) and 6 company holidays per year
- Automatic 6% 401(k) company contribution each pay period
- Employee discounts, parental leave, 3:1 match on donations and tuition reimbursement
- A comprehensive set of emotional, financial, physical and social wellbeing programs
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status.
We are proud to be an equal opportunity workplace.
We are committed to fostering an inclusive, accessible environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment.
With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.
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