Esports
Data Engineer
Mid Level
New York, United States
hybrid
Full time
Job description
About the Role
The Data Engineer will join the growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, they will contribute to the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases. The role involves working with data at scale, solving practical problems, and continuously learning in a fast-paced environment.
Key Responsibilities
- Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
- Write clean, efficient, and well-documented code using tools such as Python, SQL, and Spark.
- Ensure data is reliable, accurate, and delivered in a timely manner, delivering solutions that support machine learning, data science, analytics, and AI use cases.
- Collaborate with data analysts, data scientists, and product managers to understand requirements and deliver actionable data solutions.
- Translate business questions into engineering tasks and contribute to technical planning.
- Participate in code reviews, sprint planning, and retrospectives as part of an agile team.
- Monitor data pipelines and troubleshoot issues in a timely, systematic manner.
- Implement data quality checks and contribute to observability and testing practices.
- Document data sources, transformations, and architecture decisions to support long-term maintainability.
- Perform other duties as assigned by the Company to ensure operational flexibility and meet evolving business needs.
Required Experience & Qualifications
- 3+ years of experience in data engineering, analytics engineering, or software engineering with a focus on data.
- Strong SQL skills and familiarity with at least one programming language, such as Python, Java, or Scala.
- Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
- Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
- Experience working with cloud-based data platforms such as AWS, GCP, or Azure.
Preferred Skills
- Experience supporting BI, analytics, or data science teams.
- Familiarity with version control, CI/CD, and collaborative development workflows.
- Exposure to data governance, privacy, or compliance practices.
- Eagerness to learn new technologies and contribute to the growth of the team.
- Strong technical contributor who enjoys working with data at scale, solving practical problems, and continuously learning in a fast-paced environment.
Workplace
- Hybrid (#LI-Hybrid)
Benefits & Perks
- Array of health plans, with some as low as $0 per paycheck, including programs for fertility and family planning, mental health support, and fitness benefits.
- Medical, vision, and dental insurance; life insurance; and disability insurance.
- 401(k) with up to a 5% match.
- Generous paid time off (PTO) and sick leave, including 14 paid company holidays and paid sick time in accordance with applicable state and federal laws.
- Annual bonus and long-term incentive opportunities based on performance, with eligibility for short-term or long-term incentive compensation such as cash bonuses and stock program participation.
- Commuter benefits and pet insurance.
- Benefits differ across location, role, and level.
About the Company
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator, traded on the New York Stock Exchange (NYSE: FLUT).
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