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Data Engineer

Dallas, TX | Full Time
5 Days Ago

Job Description

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.  In 2018, Costco contributed over $39 million to organizations such as United Way and Children's Miracle Network Hospitals.

Costco IT is responsible for the technical future of Costco Wholesale, the second largest retailer in the world with wholesale operations in twelve countries. Despite our size and explosive international expansion, we continue to provide a family, employee centric atmosphere in which our employees thrive and succeed. As proof, Costco consistently ranks in the top five of Forbes “America’s Best Employers”.

The Data Engineer is responsible for developing data pipelines and/or data integrations for Costco’s enterprise certified data sets that are used for business critical data consumption use cases (i.e. Reporting, Data Science/Machine Learning, Data APIs, etc.). At Costco, we are on a mission to significantly leverage data to provide better products and services for our members. 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.

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


  • 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, and 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; automates manual processes and optimizes 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 engineers’ work.


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


  • BA/BS in Computer Science, Engineering, or equivalent software/services experience.
  • 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 working with SAP integration tools including BODS.
  • Experience with UC4 Job Scheduler.

Required Documents

  • Cover Letter
  • Resume


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


Apart from any religious or disability considerations, open availability is needed to meet the needs of the business.  If hired, you will be required to provide proof of authorization to work in the United States. Applicants and employees for this position will not be sponsored for work authorization, including, but not limited to H1-B visas.

Company Overview

  • Website
  • Headquarters TRACY, CA
  • Size >50,000
  • Founded 2016
  • Type
  • CEO
  • Revenue >$50B
  • Industry Transportation
  • About costco

Skills for Data Engineer

The job skills required for Data Engineer include SQL, Data engineering, ETL, Spark, Big Data,and Insight etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.

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Career Path for Data Engineer

The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

How to Become a Data Engineer

If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1 Understand the job description and responsibilities of a Data Engineer

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Step 2 Knowing the best tips for becoming a Data Engineer can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

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