
Sports betting and daily fantasy
Data Engineer
복지 및 혜택
•무제한 휴가
•교육비 지원
•원격 근무
•육아휴직
•스톡옵션
필수 스킬
SQL
Airflow
PyTorch
THE POSITION
Our roster has an opening with your name on it
We are looking for a Data Engineer to join our 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, you’ll contribute to the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.
The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, and continuously learning in a fast-paced environment. If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.
THE GAME PLAN
Everyone on our team has a part to play
Build & Maintain Data Pipelines:
-
Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
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Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
-
Ensure data is reliable, accurate, and delivered in a timely manner
Collaborate Across Teams:
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Work with data analysts, data scientists, and product managers to understand requirements and deliver actionable data solutions
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Translate business questions into engineering tasks and contribute to technical planning.
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Participate in code reviews, sprint planning, and retrospectives as part of an agile team.
Data Quality & Operations:
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Monitor data pipelines and troubleshoot issues in a timely, systematic manner
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Implement data quality checks and contribute to observability and testing practices
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Document data sources, transformations, and architecture decisions to support long-term maintainability
THE STATS
What we're looking for in our next teammate
-
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.
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Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
-
Experience working with cloud-based data platforms (AWS, GCP, or Azure).
Preferred Qualifications
-
Experience supporting BI, analytics, or data science teams.
-
Familiarity with version control, CI/CD, and collaborative development workflows.
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Exposure to data governance, privacy, or compliance practices.
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Eagerness to learn new technologies and contribute to the growth of the team.
PLAYER BENEFITS
We treat our team right
From our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of Fan Duel as we ask them to give. Competitive compensation is just the beginning. As part of our team, you can expect:
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An exciting and fun environment committed to driving real growth
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Opportunities to build really cool products that fans love
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Career and professional development resources to help you refine your game plan for owning and driving your career and development
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Be well, save well and live well - with Fan Duel Total Rewards your benefits are one highlight reel after another
ABOUT FANDUEL
Fan Duel Group is the premier mobile gaming company in the United States and Canada. Fan Duel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, Fan Duel Sportsbook; its leading i Gaming platform, Fan Duel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, Fan Duel Racing; and its daily fantasy sports product.
In addition, Fan Duel Group operates Fan Duel TV, its broadly distributed linear cable television network and Fan Duel TV+, its leading direct-to-consumer OTT platform. Fan Duel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
Fan Duel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
Diversity, Equity and Inclusion
Fan Duel is an equal opportunities employer. Diversity and inclusion in Fan Duel means that we respect and value everyone as individuals. We don't tolerate bias, judgement or harassment. Our focus is on developing employees so that they reach their full potential.
Fan Duel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
The requirements listed in our job descriptions are guidelines, not hard and fast rules. You don’t have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark experience-wise, we'd love to speak to you!
연락처 및 위치
전체 조회수
0
전체 지원 클릭
0
전체 Mock Apply
0
전체 스크랩
0
비슷한 채용공고
FanDuel 소개

FanDuel
Series EFanDuel Group is an American gambling company that offers sportsbook, daily fantasy sports, horse racing, and online casino services.
1,001-5,000
직원 수
New York
본사 위치
$22B
기업 가치
리뷰
10개 리뷰
3.5
10개 리뷰
워라밸
2.8
보상
4.0
문화
4.2
커리어
3.2
경영진
3.0
65%
지인 추천률
장점
Supportive and collaborative management
Great team culture and inclusive environment
Competitive salary and excellent benefits
단점
Fast-paced and stressful environment
Work-life balance challenges and long hours
High expectations leading to burnout
연봉 정보
26개 데이터
Junior/L3
Senior/L5
Junior/L3 · SENIOR ANALYST
1개 리포트
$126,500
총 연봉
기본급
$110,000
주식
-
보너스
-
$126,500
$126,500
면접 후기
후기 3개
난이도
3.0
/ 5
소요 기간
14-28주
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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