2 months ago
New York, NY, USAMid Level
Base Salary
$116k - $145k/yr
Responsibilities
- Design, build, and maintain scalable batch and streaming data pipelines for analytics and business operations.
- Write clean, efficient, and documented code using Python, SQL, and Spark.
- Deliver reliable data solutions supporting machine learning, data science, analytics, and AI use cases.
- Collaborate with data analysts, data scientists, and product managers to define requirements and plan technical solutions.
- Monitor pipelines, troubleshoot operational issues, and implement data quality, observability, and testing practices.
- Document data sources, transformations, and architecture decisions.
- Participate in code reviews, sprint planning, and retrospectives.
Requirements
- At least 3 years of experience in data engineering, analytics engineering, or software engineering focused 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, data warehousing, and ETL/ELT best practices.
- Experience with cloud-based data platforms, including AWS, GCP, or Azure.
- Preferred experience supporting BI, analytics, or data science teams.
- Preferred familiarity with version control, CI/CD, collaborative development workflows, and data governance, privacy, or compliance practices.
- Willingness to learn new technologies and contribute to team growth.
Benefits
- Medical, vision, and dental insurance, with health plans including options as low as $0 per paycheck.
- Fertility and family planning programs, mental health support, fitness benefits, commuter benefits, and pet insurance.
- Paid time off, sick leave, and 14 paid company holidays.
- 401(k) matching program with up to a 5% match.
- Annual bonus and long-term incentive opportunities may be available based on performance.
- The role may include life insurance, disability insurance, cash bonuses, and stock program participation.
- Hybrid work arrangement indicated by the posting’s #LI-Hybrid designation.
Tech Stack
Categories
Data Engineering
About FanDuel
FanDuel builds consumer sports wagering and gaming products in North America, including FanDuel Sportsbook, daily fantasy sports, FanDuel Casino, and horse-racing wagering, plus the FanDuel TV/TV+ media platforms. It earns revenue from consumer bets, fantasy entry fees, and gaming operations, and is available across the U.S., Canada, and Puerto Rico. Founded in 2009 and headquartered in New York, it is a subsidiary of Flutter Entertainment (NYSE: FLUT).