Senior Data Engineer - Remote Opportunity with DICK'S Sporting Goods: Transforming Sports through Data-Driven Insights

Unlock Your Potential as a Senior Data Engineer at DICK'S Sporting Goods

At DICK'S Sporting Goods, we're not just a team; we're a community driven by a shared passion for sports and a commitment to empowering athletes to achieve their dreams. As a leading retailer in the sports industry, we're dedicated to creating an inclusive and diverse workforce that reflects the communities we serve. Our mission is to make a positive impact on people's lives through sports, and we're looking for talented individuals like you to join our journey.

About Us

DICK'S Sporting Goods is a renowned name in the sports retail industry, known for its wide range of products and services that cater to the needs of athletes and sports enthusiasts alike. Our company culture is built around the values of teamwork, innovation, and customer satisfaction. We're proud to be a part of the lives of millions of people, helping them to pursue their passion for sports and fitness.

Job Overview

We're seeking an experienced Senior Data Engineer to join our team on a remote basis. As a Senior Data Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring that our data products and platforms are robust, scalable, and meet the evolving needs of our business. Your expertise will be instrumental in driving data-driven decision-making across the organization, enabling us to better serve our customers and stay ahead in the competitive sports retail landscape.

Key Responsibilities

• Design and implement database and table schemas for new and existing data sources, ensuring data quality and integrity.
• Develop and maintain ETL (Extract, Transform, Load) processes to facilitate data accommodation into our data warehouse.
• Collaborate with cross-functional teams, including analysts, data scientists, and product teams, to gather and deliver high-quality data that meets business needs.
• Analyze business requirements and translate them into technical data designs, ensuring that data solutions are aligned with business objectives.
• Develop and maintain technical specification documentation for all reports and processes.
• Work closely with production engineering teams to manage data structures and evolve our data products.
• Participate in design sessions and code reviews to elevate the quality of data engineering across the organization.
• Lead design sessions and code reviews, sharing your expertise and experience with the team.
• Participate in an on-call rotation for support during and after business hours.

Technical Skills and Qualifications

To be successful in this role, you should possess:

• Expertise in SQL and/or SQL-based languages, with a strong understanding of performance tuning for SQL queries.
• Experience with programming languages such as Python (Preferred), Scala, C++, or Java.
• Strong understanding of Normalized/Dimensional model disciplines and data warehousing techniques.
• Experience working with cloud-based data warehouses like Snowflake, Big Query, Synapse, or RedShift.
• Proficiency in ETL/ELT concepts, with experience using tools like Databricks, Delta Lake, and Unity Catalog.
• Experience with CI/CD on Databricks using tools like GitHub Actions and Databricks CLI.
• Strong grasp of data management principles, including Data Lake, Data Mesh, Data Catalog, and Data Quality.

Essential Qualifications

• 5+ years of experience in data warehousing and development using data technologies.
• Strong experience working with ETL/ELT concepts and data integration.
• Experience with at least one cloud platform: Microsoft Azure (Preferred), Amazon Web Services (AWS), or Google Cloud Platform (GCP).
• Experience with message queuing and stream processing (Kafka, Flink, Spark Streams).
• Strong communication skills, with the ability to craft compelling messages to drive action and alignment.
• Comfort with agile delivery methodologies in a fast-paced complex environment.

Preferred Qualifications

• Experience working in the retail, supply chain, logistics, manufacturing, or marketing industries.
• Proficiency in Linux/Unix environments.
• Experience with BI tooling like Qlik, MicroStrategy, Tableau, PowerBI, or Looker.
• Experience with orchestration tools like Control-M or Airflow.

What We Offer

As a Senior Data Engineer at DICK'S Sporting Goods, you'll be part of a dynamic team that is shaping the future of sports retail through data-driven insights. You'll have the opportunity to work on complex data challenges, collaborate with talented professionals, and grow your career in a supportive and inclusive environment. Our competitive total rewards package includes:

• A targeted pay range of $83,000 - $138,200, depending on your experience and qualifications.
• A comprehensive benefits suite, including incentive, equity, and benefits.
• Opportunities for career growth and professional development.
• A culture that values diversity, equity, and inclusion.

Our Company Culture

At DICK'S Sporting Goods, we're committed to creating a work environment that is inclusive, diverse, and supportive. We believe in empowering our employees to be their authentic selves and to bring their unique perspectives to the table. Our company culture is built around the values of teamwork, innovation, and customer satisfaction, and we're proud to be a part of the lives of millions of people through sports.

Ready to Join Our Team?

If you're a motivated and experienced Senior Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. As a remote role, you'll have the flexibility to work from anywhere, while being part of a talented team that is driving innovation in the sports retail industry. Don't miss this chance to take your career to the next level and be part of a company that is making a positive impact on people's lives through sports.

Apply now and let's shape the future of sports together!