Data Engineer - IT Sustainability

Key Skills

Agile methodologies, Azure, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data Architecture, Data Engineering, Data pipelines, Data science techniques, Data Warehousing, Databricks, DevOps, Effective communication skills, ETL/ELT technologies, Git, NoSQL, SQL, Writing, XML-JSON

Job Description

The Data Supply Data Engineer is responsible for developing data pipelines and/or data integrations across the IS Sustainability stack. This is a new team at Costco and will be fast paced, highly visible, supporting the business goals by being an industry leader in this space. This role is focused on data engineering to build and deliver automated data pipelines from a plethora of internal and external data sources. The Data Engineer will partner with product owners, engineering and data platform teams to design, build, test and automate data pipelines that are relied upon across the company as the single source of truth.

Responsible for developing and operationalizing data pipelines to make data available for consumption (reports and advanced analytics). This includes data ingestion, data transformation, data validation/quality, data pipeline optimization, orchestration; and engaging with DevOps Engineer during CI/CD. The role requires a grounding in programming and SQL, followed by expertise in data storage, modeling, cloud, data warehousing, and data lakes. The Data Engineer works closely with Data Architects, Data Scientists and BI Engineers to design and maintain scalable data models and pipelines.

If you want to be a part of one of the worldwide BEST companies “to work for”, simply apply and let your career be reimagined.

ROLE

• Builds data models with Data Architect and develops data pipelines to store data in defined data models and structures.
• Identifies ways to improve data reliability, efficiency and quality of data management.
• Conducts ad-hoc data retrieval for business reports and dashboards.
• Assesses the integrity of data from multiple sources.
• Manages database configuration including installing and upgrading software and maintaining relevant documentation.
• Develops and operationalizes data pipelines to create enterprise certified data sets that are made available for consumption (BI, Advanced analytics, APIs/Services).
• Works in tandem with Data Architects, Data Stewards and Data Quality Engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality and orchestration.
• Designs, develops, & implements ETL/ELT processes using Informatica Intelligent Cloud Services (IICS).
• Uses Azure services such as Azure SQL DW (Synapse), ADLS, Azure Event Hub, Cosmos, Databricks, Delta-Lake to improve and speed up delivery of our data products and services.
• Implements big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization.
• Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery.
• Identifies ways to improve data reliability, efficiency and quality of data management.
• Communicates technical concepts to non-technical audiences both in written and verbal form.
• Performs peer reviews for other data engineer’s work.

REQUIRED

• 4+ years’ experience engineering and operationalizing data pipelines with large and complex datasets.
• 2+ years’ hands-on experience with Informatica PowerCenter and/or IICS.
• 3+ years’ experience working with Cloud technologies such as ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB and other big data technologies.
• Extensive experience working with various data sources (DB2, SQL,Oracle, flat files (csv, delimited), APIs, XML, JSON.
• Advanced SQL skills required. Solid understanding of relational databases and business data; ability to write complex SQL queries against a variety of data sources.
• 3+ years’ experience with Data Modeling, ETL, and Data Warehousing.
• Strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).

Recommended

• Azure Certifications.
• Experience implementing data integration techniques such as event/message based integration (Kafka, Azure Event Hub), ETL.
• Experience with Git / Azure DevOps.
• Experience delivering data solutions through agile software development methodologies.
• Exposure to the retail industry.
• Excellent verbal and written communication skills.
• Experience with UC4 Job Scheduler.

Required Documents

• Cover Letter
• Resume

California applicants, please click here to review the Costco Applicant Privacy Notice. 

Pay Ranges: 

Level 3 - $125,000 - $165,000

Level 4 - $155,000 - $195,000, Bonus and Restricted Stock Unit (RSU) eligible

We offer a comprehensive package of benefits including paid time off, health benefits - medical/dental/vision/hearing aid/pharmacy/behavioral health/employee assistance, health care reimbursement account, dependent care assistance plan, short-term disability and long-term disability insurance, AD&D insurance, life insurance, 401(k), stock purchase plan to eligible employees.

Costco is committed to a diverse and inclusive workplace. Costco is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to IT-Recruiting@costco.com