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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & Analytics Engineer - **Company:** Foot Locker, Inc. - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $100,000.0 - $105,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Computer Programming, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Mart, Data Warehousing, Dimensional Modeling, Python (Programming Language), Machine Learning, Scrum Methodology, Power BI, Cloud Services, Snowflake, Information Technology, Data Analytics, Apache Kafka, Data Management, GPT, Confluent, Databricks - **Published:** September 17, 2026 - **Apply:** https://www.dice.com/job-detail/b9d62f81-cde9-40a6-a7de-cf926d90d7e3 ## About the Role Foot Locker, Inc. is seeking an experienced individual who has a proven track record of building enterprise level platform components to support product development from multiple teams and lines of business. This role is expected to drive engineering and innovation through collaboration across our Data Platforms, Data Architecture, Data science and our products team to help push Foot Locker, inc. to the next level. Our current Data & Analytics Platform technology stack comprises of cloud solutions (Microsoft Azure), Databricks, Confluent Kafka, Snowflake and Power BI. Ideal candidate is expected to have a engineering experience around using tools building ETL, ELT Pipeline and Business Intelligence Dashboards, * Bachelors Degree in Computer science or related field * Atleast 3+ years of overall Engineering experience in a Data and Analytics function * Strong knowledge and experience working as a Data Engineer using industry standard ETL tools * Strong knowledge and experience working as a BI Engineer using Power BI or equivalent BI tools * Strong knowledge and experience with Datawarehouse and Business Intelligence * Advanced SQL Programming skills * Prior programming experience in Python or Scala around Data Engineering is a big plus * Prior knowledge and experience in Dimensional modeling (Data Marts, Star/Snowflake, Normalization, SCD2) is a huge plus * Experience with Databricks and/or Snowflake is a big plus * Experience with one or more Reporting/Dashboarding tool. * Demonstrated experience with agile scrum methodology * Must possess well-developed verbal and written communication skills. DESIRED CHARACTERISTICS * Public cloud experience, preferably Azure or AWS * Previous experience at a fortune 500 company, To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The successful candidate will have a high degree of motivation, exceptional attention to detail, and the ability to derive answers from communications with multiple parts of the business. This person will also require the ability to work well within a team atmosphere and has the flexibility to help with a variety of the department goals. EDUCATION and/or EXPERIENCE Bachelor's degree (B. S.) from a four-year college or university; or Associate degree in programming from a technical college; and 3-5 years related experience and/or training; or equivalent combination of education and experience. COMMUNICATION SKILLS The candidate must be able to communicate with others in a simple, clear, and understandable manner. Must also have the ability to read and interpret all forms of communication. The ability to write reports for management and professional correspondence, as well as to speak effectively before peers, management, customers, and other associates of the organization is required. REASONING ABILITY The candidate must effectively plan and execute unusual and difficult work. Takes initiative and is decisive and quick, when appropriate. All while adhering to the team's standards and patterns and practices. Must have the ability to solve practical and impractical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Deals constructively with conflict and disagreement. ## Description At this time, Foot Locker will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization., This role will include, but will not be limited to the following responsibilities: * Build new Data and Analytics products helping support Foot Locker business initiatives. * Help grow our Data Catalog through ingestions of a variety of internal and third party data sources * Must be able to support and contribute to assigned POD's at an Data & Analytics engineering capacity with minimal supervision working within the Agile / Scrum project methodology * Define data standards that will enable more efficient and effective decision making * Design, Engineer and Implement ETL solutions and resolve technical issues * Design Power BI datasets and dashboards, including complex DAX functions. * Participate in a collaborative, peer review based environment fostering new ideas via cross team guilds / specialty groups * Maintain comprehensive documentation around our processes / decision making * Participate in the continuous envolution of our schema / data model as we find more data sources to pull into the platform * Support our Data Scientists by helping enhance their machine learning models to be more scalable during training and model deployment, The Data & Analytics Engineer does not have direct supervisory responsibilities, At Foot Locker, we value innovation, authenticity, and integrity in all that we do. To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools, including ChatGPT, during interviews and assessments. To ensure a smooth and secure experience, please review the following guidelines: * Cameras must be on for all virtual interviews. * AI tools are strictly prohibited during interviews or assessments. We appreciate your understanding and cooperation as we work together to create a transparent and equitable hiring experience.