Overview /Objective:
We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This role is pivotal in shaping and implementing our client’s vision for a cutting-edge, cloud-native data ecosystem. You will architect and build scalable data infrastructure that transforms raw data into high-value assets, powering analytics across digital products, fan engagement, and marketing domains. Your work will directly contribute to the development of a world-class customer data platform.
ResponsibilitiesResponsibilities:
- Design and build robust, scalable data transformation pipelines using SQL, DBT, and Jinja templating
- Develop and maintain data architecture and standards for Data Integration and Data Warehousing projects using DBT and Amazon Redshift
- Collaborate with cross-functional teams to gather requirements and deliver dimensional data models that serve as a single source of truth
- Own the full stack of data modeling in DBT to empower analysts, data scientists, and BI engineers
- Enhance and maintain the analytics codebase, including DBT models, SQL scripts, and ERD documentation
- Ensure data quality, governance alignment, and operational readiness of data pipelines
- Apply software engineering best practices such as version control, CI/CD, and code reviews
- Optimize SQL queries for performance, scalability, and maintainability across large datasets
- Implement best practices for SQL performance tuning, including partitioning, clustering, and materialized views
- Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments. Integrate and automate deployment workflows using AWS CodeCommit, CodePipeline, and related DevOps tools
- Support Agile development processes and collaborate with offshore teams
Required Qualifications:
- Bachelor’s or Master’s (preferred) degree in a quantitative or technical field such as Statistics, Mathematics, Computer Science, Information Technology, Computer Engineering or equivalent
- 5+ years of experience in data engineering and analytics on modern data platforms
- 3+ years’ extensive experience with DBT or similar data transformation tools, including building complex & maintainable DBT models and developing DBT packages/macros
- Deep familiarity with dimensional modeling/data warehousing concepts and expertise in designing, implementing, operating, and extending enterprise dimensional models
- Understand change data capture concepts
- Experience working with AWS Services (Lambda, Step Functions, MWAA, Glue, Redshift)
- Hands-on experience with AWS CDK, CodeCommit, and CodePipeline for infrastructure automation and CI/CD
- Python proficiency or general knowledge of Jinja templating in Python and/or PySpark
- Agile experience and willingness to work with extended offshore teams and assist with design and code reviews with customer
- A great teammate and self-starter, strong detail orientation is critical in this role.
Skills Required
- Bachelor's degree in Statistics, Mathematics, Computer Science, IT, Computer Engineering, or equivalent
- Master's degree (preferred)
- 5+ years of experience in data engineering and analytics on modern data platforms
- 3+ years' extensive experience with DBT, including complex models and developing DBT packages/macros
- Deep familiarity with dimensional modeling and enterprise data warehousing concepts
- Understanding of change data capture (CDC) concepts
- Experience with AWS services: Lambda, Step Functions, MWAA, Glue, and Redshift
- Hands-on experience with AWS CDK, CodeCommit, and CodePipeline for infrastructure automation and CI/CD
- Python proficiency or general knowledge of Jinja templating in Python and/or PySpark
- Experience with version control, CI/CD, code reviews, and software engineering best practices
- Agile development experience and willingness to collaborate with offshore teams and participate in design/code reviews with customers
- Strong teammate, self-starter, and strong attention to detail
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
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