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Data Engineer

FanDuel
Location
New York City
Posted
16 days ago
Department
Data Engineering
Salary
$116,000 - $145,000
What they actually want (must-haves)
  • 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 (e.g., 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 (AWS, GCP, or Azure)
Nice to have
  • 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
What the job really is

As a Data Engineer at FanDuel, you will design, develop, and maintain data pipelines and infrastructure that support analytics and machine learning initiatives. Your role involves collaborating with various teams to translate business needs into technical solutions, ensuring data quality, and implementing best practices in data management. You will also be responsible for writing efficient code and monitoring data systems to ensure reliability and accuracy.

Benefits
  • Array of health plans including programs for fertility and family planning, mental health support, and fitness benefits
  • Generous paid time off (PTO & sick leave)
  • Annual bonus and long-term incentive opportunities based on performance
  • 401k with up to a 5% match
  • Commuter benefits
  • Pet insurance
Things to weigh
  • No specific mention of the tech stack beyond tools like Python, SQL, and Spark
  • Role includes performing other duties as assigned, which may lead to ambiguity in responsibilities
Job score4.4/5
Benefits5/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency5/5

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