Data Engineer - AI and Data Science Engineer II

ConvergeSports Data Engineer ConvergeSPORTS (USI) About the Role ConvergeSPORTS is a product-driven business combining Deloitte's sports industry experience with proprietary data, AI-native decision intelligence, and reusable Converge capabilities. We help sports organizations grow revenue, deepen fan engagement, optimize partnerships, and improve commercial performance while operating with the focus of a product company. Sports organizations generate enormous volumes of fan, ticketing, sponsorship, and commercial data, but it only creates value when it is trusted, connected, and ready to use. As a Data Engineer based in US-India (USI), you will build the data pipelines that turn raw sports data into production-grade foundations for ConvergeSPORTS products, powering analytics, machine learning, and AI-enabled decision experiences. If you are an early-career engineer who wants to build real product infrastructure for the sports industry alongside experienced engineers, this is where you will do it. Key Responsibilities Build Data Pipelines

• Build and maintain batch data pipelines using SQL, Python, and PySpark to ingest, transform, and serve fan, sponsorship, ticketing, CRM, and commercial datasets
• Develop components of reusable ETL/ELT frameworks under the guidance of senior engineers, following established design patterns and coding standards
• Write, test, and tune SQL and Python code for correctness and performance, with unit tests and clear documentation Make Data Trustworthy
• Implement data quality checks, validation routines, and lineage documentation that make data assets trustworthy for product use
• Contribute to data models and schemas that support analytics, machine learning, and agentic product features Ship as One Team
• Partner with product managers and data scientists to translate defined requirements into production-ready data assets and feature pipelines
• Support deployment, monitoring, and troubleshooting of pipelines in production, working with application engineering and DevOps teams on CI/CD and observability
• Participate in Agile ceremonies and code reviews, and keep work items, estimates, and status current for USI and US stakeholders
• Help standardize data adapters and schemas across the ConvergeSPORTS product portfolio by documenting and reusing existing patterns Reporting Relationships Reports to Li-Shen Lee.

Works as one team with product management, data science, and application engineering, partners with US-based ConvergeSPORTS product and engineering leaders, and collaborates with DevOps and delivery teams across USI. Qualifications Required

• Bachelor's degree in Computer Science, Engineering, Information Technology, Mathematics, Statistics, or a related field, or equivalent experience
• 2-4 years of hands-on experience building and supporting data pipelines in product, platform, or data-intensive delivery environments
• Proficiency in SQL and Python, including writing, testing, and tuning data transformation code
• Experience with at least one cloud data platform such as Snowflake, Databricks, BigQuery, or PostgreSQL
• Experience with Spark/PySpark or comparable distributed data processing frameworks, and with workflow orchestration
• Experience with Git/GitHub, branching, code review, and Agile product development
• Based in India, able to work virtually with US stakeholders Preferred
• Experience with sports, media, entertainment, sponsorship, ticketing, CRM, loyalty, or fan engagement data
• Experience with Delta Lake or lakehouse patterns, Airflow, Databricks Workflows, or dbt
• Experience with Docker, CI/CD, and cloud deployment on AWS, Azure, or GCP
• Experience preparing data for AI, recommendation, scoring, or segmentation use cases Core Competencies
• Curious and quick to learn, acts on feedback from senior engineers
• Detail-oriented, treats data accuracy, testing, and documentation as part of the work
• Clear communicator who raises blockers early across USI and US teams
• Collaborative with product, data science, and engineering
• Owns assigned work from start to finish, with growing independence Why This Role Matters Every ConvergeSPORTS product decision, from fan engagement to sponsorship optimization, depends on data that teams can trust.

As a Data Engineer, you will build the pipelines behind that trust and grow your craft alongside experienced engineers on products used across the sports industry.