Data Engineer III

Columbia Sportswear, Inc.


0 year(s)

Job Description

At Columbia, were as passionate about the outdoors as you are. And while our gear is available worldwide, were proud to be based in the Pacific Northwest, where natural wonders are our playground.

Every product we make and every task we undertake is inspired by the famous words of our founder Gert Boyle: Its perfect. Now make it better. As pioneers of relentless improvement, we are constantly evolving.

We believe the outdoors is ours to protect and strive to keep our planet healthy. We believe in empowering people to experience the outdoors to the fullest.

And we believe in you.

Although we're an apparel and footwear focused company, technology is central to everything we do. Columbia Sportswears Global Information Services (GIS) teams enable an IT infrastructure across four global brands, a global supply chain, and 500+ geographically dispersed stores. These teams support in-store, mobile, and data platforms to enhance customer interface and service in an ever-evolving industry.

The Data Engineer is a member of the Enterprise Information Management team and is responsible for the design, development, testing, maintenance, and support of Columbias enterprise data assets. The Data Engineer will provide technical design, development and analytical support for Columbia Enterprise initiatives.

Lead activities that include: data modeling (relational and dimensional), data lake & data warehouse development, data integration / ETL process development, and support.

Continuously deliver and improve prioritized enterprise data assets that enable the growth of Columbias global analytics, reporting and visualization solutions.

Coordinate frequently with several enterprise support organizations and Columbia end users.

Manage scheduling, support, tools and maintenance of integration processes.

Identify project risks and impediments, notify management, and proactively work with other members of the team to complete assigned tasks as defined by project scope, timelines, and budgets.

Identify data quality issues and support Columbias data governance initiative by participating in necessary activities including data profiling.

Participate in the use of Agile practices to elicit and refine requirements through an iterative process of planning, defining acceptance criteria, prioritizing, developing and delivering enterprise data asset solutions.

An expert in data design & development and have a deep understanding of complex organizational analytical and data needs that enable improvements in environment design, efficiency, controls and the overall user experience of enterprise data assets

A strong communicator that has an ability to work with all levels of the organization to advance Columbias vision for information management and analytics

Highly conversant in the culture and changing landscape of information technology

Curious and creative, always looking to deliver a superior product while working closely with a small scrum team

A Bachelors Degree in Computer Science, Information Systems or a related field or a combination of education and experience

3+ years of hands-on experience architecting, developing and/or managing the implementation of Business Intelligence solutions and 2+ years professional experience with one or more ETL tools such as Informatica, SQL Server Integration Services, Business Objects Data Services, or Spark

Experience in SQL and query optimization for data platforms such as Azure SQL DW/Synapse, Teradata, SAP HANA, Oracle, or equivalent RDBMS required. Experience with Microsoft Azure BI Stack: Azure Data factory, Azure Data Lake, Azure SQL Data Warehouse is a bonus

Proficient in relational database concepts, including normalization, indexing, physical and logical modeling, creation of SQL queries and performance tuning.

Familiar with the Kimball and/or Inmon methods of data warehousing techniques, standards and best practices. Experience with management of a star schema implementation and related concepts such as slowly changing and late arriving dimensions

Familiar with Data Lake and Spark concepts and have some hands-on experience working with Spark DataFrames, pySpark preferred. Experience with large scale data processing, data structure optimization and scalability of algorithms a plus


Columbia Sportswear Company and our portfolio of brands, including Columbia, SOREL, Mountain Hardwear and prAna, know a thing or two about adventures. After all, we've been on one since 1938, working to perfect the art of enjoying the outdoors. Behind everything we make is an employee who's found that the greatest adventure starts with joining a company that strives to do the right thing.

This job description is not meant to be an all-inclusive list of duties and responsibilities, but constitutes a general definition of the position's scope and function in the company.

At Columbia Sportswear Company (CSC), we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, military and veteran status, and any other characteristic protected by applicable law. CSC believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. All employment is decided on the basis of qualifications, merit, and business need.