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Data Engineer

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel 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.

FanDuel 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).


THE POSITION
Our roster has an opening with your name on it

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

Our competitive edge is enabled by the ability to leverage accurate and timely data for informed decision-making. We are seeking a Data Engineer to advance FanDuel’s data capabilities and contribute to the further growth and maturity of our Data Team.  

As a Data Engineer, you will be a valued member of the Data Support team, maintaining exceptional standards and servicing all the needs of data consumers across the company. Your role will be to ensure the health of our data infrastructure, contribute to the delivery of reliable, timely, and consumable data for all company data consumers. The success of this team will elevate the capabilities of our Data tribe to maximise the value of our data assets and empower employees to innovate.

You will have the opportunity to work in an agile environment where you will team up with colleagues having experience in data warehousing, machine learning and more. 

The successful candidate should have minimum 3-5 years of data engineering experience with good technical and problem-solving skills, a positive and results driven attitude, and a good communicator who can interact with both technical and non-technical people.


THE GAME PLAN
Everyone on our team has a part to play

Key Responsibilities:

  • Provide on-call technical assistance to analysts, data consumers, and data engineering teams, responding to inquiries relating to query optimization, reporting anomalies, complex data pipeline issues, failed jobs, and data inconsistencies.
  • Investigate and resolve data quality issues in response to system alerts or notifications from stakeholders, ensuring compliance with internal/external audits and control practices.
  • Design and implement batch and real-time data pipelines to the data warehouse or data lake using data transformation technologies, enhancing monitoring dashboards and support tools, and automating repetitive support tasks.
  • Lead impactful initiatives to enhance data pipelines and other data operations capabilities while mentoring and onboarding new support data engineers.
  • Create and maintain technical support documentation, including FAQs, troubleshooting steps, support runbooks, and a knowledge base of solutions to recurring issues.
  • Drive operational best practices and shape workflows for routine consumer support, operations monitoring, incident management, and problem management.
  • Administer account access to tools across the technology stack in accordance with SoX governance policies.


THE STATS
What we're looking for in our next teammate

Preferred skills:

  • Strong problem-solving skills with the ability to get to the root causes of issues and implement effective solutions.
  • A customer-oriented mindset with a focus on delivering high-quality support services and attention to detail.
  • Minimum 3-5 years of SQL query and query performance tuning experience.
  • Experience with programming languages such as Python, Java, or R.
  • Experience with dimensional data modeling, batch data ingestion, and real-time technologies like Kafka or Kinesis.
  • Understanding of data warehousing and ETL/ELT processing.
  • Experience with cloud databases such as AWS Redshift or Databricks, and Spark on Databricks, AWS, or Azure.
  • Exceptional communication and interpersonal skills.
  • Exposure to orchestration and monitoring tools like Airflow, Datadog, Databand, and Monte Carlo.
  • Familiarity with data visualization tools such as Tableau or Looker.
  • Experience owning and coordinating issues across multiple time zones, bringing continuity of coverage to the Data tribe.

Desired skills:

  • Experience with data streaming patterns and ETL/ELT tools like Dbt.
  • Exposure to database design, performance analysis, and data quality metrics.
  • Exposure to Continuous Integration/Continuous Delivery tools like BuildKite or Github Actions.
  • Exposure to Data Science, Machine Learning, and AI.


PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer 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, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $116,000 - $145,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

 

#LI-Hybrid

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Average salary estimate

$130500 / YEARLY (est.)
min
max
$116000K
$145000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer, FanDuel

Join FanDuel as a Data Engineer in Atlanta, Georgia, and step into an exciting role at the forefront of mobile gaming! FanDuel Group is renowned for its innovative platforms, including America’s #1 Sportsbook and FanDuel Casino. As a Data Engineer, you'll play a vital role in enhancing our data capabilities and ensuring that our data infrastructure runs smoothly. In this position, you'll collaborate with talented professionals in an agile environment to design and implement effective data pipelines, all while maintaining exceptional standards for our data consumers. Your hands-on experience with SQL, data warehousing, and cloud databases like AWS Redshift will be invaluable as you tackle data quality issues and refine operational best practices. But it’s not just about the tech; effective communication with both technical and non-technical teams is essential. You’ll also have the chance to mentor new Data Support team members, sharing your wisdom and strategies. At FanDuel, we believe in a culture of continuous innovation and support, making it a fantastic place to grow your career while contributing to an industry leader. So if you’re ready to elevate your career while working with a team that values collaboration and creativity, apply now and help us maximize the value of our data assets!

Frequently Asked Questions (FAQs) for Data Engineer Role at FanDuel
What are the main responsibilities of a Data Engineer at FanDuel?

As a Data Engineer at FanDuel, your primary responsibilities will include providing technical assistance to data consumers, resolving data quality issues, and designing robust data pipelines. You'll be expected to ensure the integrity of our data infrastructure, automate support tasks, and create documentation that enhances operational efficiency. Your efforts will greatly influence the effectiveness and success of our data initiatives.

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What qualifications are required for the Data Engineer position at FanDuel?

To qualify for the Data Engineer role at FanDuel, you should have a minimum of 3-5 years of relevant experience, particularly in data engineering, SQL, and performance tuning. Proficiency in programming languages like Python or Java, coupled with experience in data warehousing and ETL processes, is also essential. A solid understanding of cloud technologies such as AWS Redshift or Databricks will greatly enhance your application.

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What technical skills are beneficial for a Data Engineer at FanDuel?

Technical skills that are beneficial for a Data Engineer position at FanDuel include SQL proficiency, experience with data transformation technologies, and familiarity with real-time technologies like Kafka or Kinesis. Additionally, understanding data visualization tools such as Tableau or Looker, as well as cloud platforms, will set you apart. Your problem-solving skills will also play a crucial role in addressing and resolving data-related challenges.

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How does FanDuel support its Data Engineers?

FanDuel is committed to supporting its Data Engineers through a collaborative work environment where continuous learning is encouraged. You will have access to mentorship, opportunities to lead initiatives, and collaboration with cross-functional teams. Plus, FanDuel offers a range of benefits, including generous paid time off, health plans, and professional development programs designed to help you excel in your role.

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What can I expect from the work culture as a Data Engineer at FanDuel?

At FanDuel, expect a vibrant and inclusive work culture where teamwork, innovation, and respect are at the forefront. The Data Engineering team thrives on collaboration and open communication, making it a place where everyone’s ideas and contributions are valued. As part of a leading mobile gaming company, you will engage in exciting projects that empower you to make a real impact in the industry.

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Common Interview Questions for Data Engineer
Can you explain your experience with SQL and performance tuning?

When answering this question, focus on specific projects where you've utilized SQL. Discuss how you optimized queries, improved performance, and the tools you used to analyze query performance. Highlight results that demonstrate your skills, such as speed improvements or resource efficiency, to emphasize your value as a Data Engineer.

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Describe a complex data pipeline you’ve designed or worked on.

In your response, outline the technologies used, the challenges faced, and how you overcame them. Make sure to explain the flow of data, transformations applied, and the ultimate purpose of the pipeline. Understanding both the technical and business aspects of your design can showcase your comprehensive knowledge and problem-solving abilities.

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How do you ensure data quality in your work?

Discuss specific methodologies you follow to maintain data quality, such as regular audits, automated tests, and logs. Highlight any tools you use to monitor data quality and examples of when you resolved data issues. Stress the importance of data quality in decision-making at FanDuel, aligning with the company’s standards and goals.

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What programming languages are you proficient in, and how have you utilized them?

List the programming languages you are most comfortable with, such as Python or Java. Give examples of how you've used these languages in data pipeline development, data processing, or automation tasks. Reference any specific libraries or frameworks that align with the technologies used at FanDuel, showing your preparedness for the role.

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Can you give an example of how you worked in a team to achieve a project goal?

Talk about a situation where collaboration was key. Describe how you communicated with team members, divided tasks, and tackled challenges together. Emphasize your interpersonal skills and your role in fostering a good team dynamic, highlighting the success achieved as a result of teamwork.

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What do you know about ETL and ELT processes?

Explain the differences and similarities between ETL and ELT, along with their use cases. Provide examples from your experience where you’ve implemented these processes. Discuss the technologies used for extraction, transformation, and loading stages in your projects, connecting it back to FanDuel’s needs.

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How do you prioritize and manage your workload?

Describe strategies and tools you use for prioritization and time management, such as task lists, agile methodologies, or project management software. Emphasize your ability to balance multiple responsibilities while maintaining quality output, reflecting a proactive approach to workload management.

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Tell me about a time you solved a difficult data problem.

Share a specific story that illustrates your problem-solving skills. Describe the issue, how you approached it, the solution you implemented, and the results. Highlight the thought process behind your steps, showcasing analytical skills that are critical for a Data Engineer at FanDuel.

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What’s your experience with cloud technologies?

Discuss specific cloud platforms you've used, ideally aligning your experience with AWS Redshift or Azure as mentioned in the job posting. Talk about how you’ve deployed applications, managed databases, or used cloud services to enhance data processing and analytics, illustrating your familiarity with cloud infrastructures.

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Why do you want to work at FanDuel?

Use this question to express your enthusiasm for the role and the company. Discuss aspects like FanDuel’s innovative spirit, commitment to data-driven decision-making, and the culture of collaboration. Personalize it by mentioning how the company's mission aligns with your career goals and values.

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FanDuel, headquartered in New York, is a gambling company that offers sportsbook, daily fantasy sports, horse racing, and online casino. Since its foundation in 2009, FanDuel has offered sportsbooks in a number of states in America.

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BADGES
Badge ChangemakerBadge Diversity ChampionBadge Future MakerBadge Office VibesBadge Work&Life Balance
CULTURE VALUES
Customer-Centric
Inclusive & Diverse
Collaboration over Competition
Transparent & Candid
Growth & Learning
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 10, 2025

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