[Hiring] Senior Data Engineer @DICK'S Sporting Goods

DICK'S Sporting Goods; United States; Remote; USD 83,000 - 139,000; Full time

Job summary

A leading company in sports retail seeks a Senior Data Engineer to join their remote Athlete team. The role involves developing and maintaining data infrastructures and collaborating across teams to drive insights that support marketing functions. Ideal candidates have experience in data modeling, security practices, and agile development, with a passion for optimizing solutions.

Benefits

Competitive total rewards package including incentive, equity, and benefits

Generous suite of benefits

Qualifications

• 3 to 6 years of experience in relevant roles.
• Basic experience coordinating work of others (4 to 6 months).
• Familiarity with data governance and compliance.

Responsibilities

• Support data flows and collaborate with vendors.
• Drive design distribution of data infrastructure and ensure compliance.
• Perform data analysis and document complex datasets.

Skills

Data modeling

Data pipeline development

Collaboration

PII data security

Agile development

SQL

Python

Education

Bachelor's Degree or equivalent level preferred

Job description

Jun 09, 2025 - DICK'S Sporting Goods is hiring a remote Senior Data Engineer. Salary: $83,000 - $138,200. Location: USA.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

The Senior Data Engineer on the Athlete team will support a wide array of data sources, inbound and outbound. They collaborate with vendors to build and maintain ingress and egress data flows. This data supports marketing functions that do not necessarily relate to others, so the ability to go deep and broad quickly is crucial to this role.

• Break down ambiguously defined goals into stories and sprints for collaboration and execution.
• Experience with PII data security and handling, Identity Resolution, and conforming disparate datasets into logically uniform datasets.
• Provide guidance and feedback to achieve team goals.
• Experience with Python, Databricks, SQL, data modeling, refactoring codebase, cataloging/data governance, and agile development is a plus.
• Partner with Data Analysts to determine data requirements to support the organization's business needs.
• Perform business/data analysis and may coordinate solutions within a product team.
• Support solutions that ensure enterprise systems remain best-in-class.
• Learn to lead teams and solutions.

• Data Movement: Drive the design distribution of basic data infrastructure resources and create physical modeling and design services to tune database applications for optimum performance.
• Data Architecture: Drive the modeling of highly complex data structures that allow for easy consumption and analysis.
• Data Set Exploration and Documentation: Drive the analysis, documentation, and articulation of complex datasets while establishing quality and the lineage of the data.
• Functional/Technical Requirements: Support the collection of functional requirements using document analysis and workflow analysis.
• Program/Portfolio Management Support: Contribute to work within an established program management plan to achieve specific goals.
• Analysis of Current vs. Future State: Support and contribute to the documentation of Current vs. Future state processes.
• Infrastructure and Network Development and Maintenance: Design and select data platforms to design solutions in line with industry best practice.
• Information Security and Compliance: Create and implement best practices for safely and securely moving data.
• Technical Developments Recommendation: Research and suggest ways to optimize solutions to better meet user and/or business needs.
• Operational Compliance: Identify instances of non-compliance with the organization's policies and procedures.
• Ongoing Learning and Development: Develop own and junior team member capabilities through training and coaching.

Qualifications

• Bachelor's Degree or equivalent level preferred
• General Experience: 3 to 6 years of experience
• Managerial Experience: Basic experience of coordinating the work of others (4 to 6 months)

Requirements

• Experience with data modeling and pipeline development
• Ability to partner with various teams including data scientists, sales/marketing, and software engineering

Benefits

• Targeted Pay Range: $83,000.00 - $138,200.00
• Competitive total rewards package including incentive, equity, and benefits
• Generous suite of benefits