What are the responsibilities and job description for the Data Engineer - Costco Travel position at Costco?
Costco Travel IT is responsible for the technical future of Costco Wholesale, the third largest retailer in the world with wholesale operations in fourteen countries. Despite our size and explosive international expansion, we continue to provide a family, employee centric atmosphere in which our employees thrive and succeed.
This is an environment unlike anything in the high-tech world and the secret of Costco’s success is its culture. The value Costco puts on its employees is well documented in articles from a variety of publishers including Bloomberg and Forbes. Our employees and our members come FIRST. Costco is well known for its generosity and community service and has won many awards for its philanthropy. The company joins with its employees to take an active role in volunteering by sponsoring many opportunities to help others.
Come join the Costco Travel IT family. Costco IT is a dynamic, fast-paced environment, working through exciting transformation efforts. We are building the next generation retail environment where you will be surrounded by dedicated and highly professional employees.
Data Engineers are responsible for developing and operationalizing data pipelines/integrations to make data available for consumption (i.e. Reporting, Data Science/Machine Learning, Data APIs, etc.). This includes data ingestion, data transformation, data validation/quality, data pipeline optimization, orchestration; and deploying code to production via CI/CD. The Data Engineer role requires knowledge of software development/programming methodologies, various data sources (Relational Databases, flat files (csv, delimited), APIs, XML, JSON, etc.), data access (SQL, Python, etc.), followed by expertise in data modeling, cloud architectures/platforms, data warehousing, and data lakes. This role also will partner closely with Product Owners, Data Architects, Platform/DevOps Engineers, etc. to design, build, test, implement and maintain data pipelines.
In addition to data pipelines, the Data Engineer is responsible for developing and maintaining ERDs and Data Flow Diagrams to help visualize the structure and relationships between different components within the system. The Data Engineer will partner with development/architecture teams towards splitting bigger databases into smaller, service-specific databases.
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
● Develops complex SQL & Python against a variety of data sources.
● Implements streaming data pipelines using event/message based architectures.
● Demonstrates ability to communicate technical concepts to non-technical audiences both in written and verbal form.
● Works in tandem with Data Architects to align on data architecture requirements provided by the requestor.
● Defines and maintains optimal data pipeline architecture.
● Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery/orchestration.
● Demonstrates strong understanding with coding and programming concepts to build data pipelines (e.g. data transformation, data quality, data integration, etc.).
● Analyzes data to spot anomalies, trends and correlate data to ensure Data Quality.
● Develops data pipelines to store data in defined data models / structures.
● Demonstrates strong understanding of data integration techniques and tools (e.g. Extract, Transform, Load (ETL) / Extract, Load, Transform (ELT)) tools.
● Demonstrates strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).
● Identifies ways to improve data reliability, efficiency and quality of data management.
● Performs peer review for another Data Engineer’s work.
● Develops and maintains ERDs that help visualize how different data elements (entities) are connected and related to each other within the system.
● Partner with development teams and help identify data ownership.
REQUIRED
● 5 Years SQL server experience.
● 3 Azure, ADF, ADSL, and Synapse or equivalent.
● 5 Creating data pipelines and ETL solutions.
● 2 Years Python experience.
● Experience with NoSQL databases like MongoDB, Redis, Graph databases.
● CDMP (Certified Data Management Professional) - Associate.
Recommended
● 5 years data engineering experience and a BS or MS in Computer Science, Engineering or related technical discipline.
● Team player that is eager to learn.
● Proficient in Google Workspace applications, including Microsoft Teams, Outlook, Word, Excel, Power Point.
Required Documents
● Cover Letter
● Resume
California applicants, please click here to review the Costco Applicant Privacy Notice.
Pay Ranges:
Level 1 - $85,000 - $110,000
Level 2 - $105,000 - $135,000
Level 3 - $130,000 - $160,000
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
If hired, you will be required to provide proof of authorization to work in the United States. In some cases, applicants and employees for selected positions will not be sponsored for work authorization, including, but not limited to H1-B visas.
Salary : $110,000 - $160,000
