Summary

Position Summary

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.

Our purpose

Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.

Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients most complex challenges. This makes Deloitte one of the most rewarding places to work.

Professional development

At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .

Benefits To Help You Thrive

At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.

Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.

Requisition code: 370356

Data Engineer - AI and Data Science Engineer II