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fanduel
Страна
США
Зарплата
116 000 $ – 152 250 $
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ГибридПолная занятость

Data Engineer

Оценка ИИ

FanDuel — топовый бренд с отличным соцпакетом и прозрачной вилкой зарплаты. Работа в высоконагруженном проекте с современным стеком (AWS, Databricks) дает отличные возможности для профессионального роста.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует сочетания навыков разработки (Python, SQL) и операционной поддержки (on-call, инцидент-менеджмент). Высокая планка из-за необходимости работы с Big Data стеком (Spark, Kafka) и ответственности за доступность данных 24/7.

Анализ зарплаты

Медиана135 000 $
Рынок110 000 $ – 160 000 $
Оценка ИИ

Предложенная зарплата ($116k - $152k) полностью соответствует рыночным ожиданиям для Data Engineer среднего уровня в Атланте. Верхняя граница диапазона даже несколько выше медианы для данного региона.

Сопроводительное письмо

I am writing to express my interest in the Data Support Engineer position at FanDuel. With over three years of experience in data engineering and a strong focus on operational excellence, I have developed a robust skill set in SQL optimization, Python automation, and managing complex data pipelines within AWS and Databricks environments. My background in resolving high-stakes data quality issues and participating in on-call rotations aligns perfectly with the needs of your Data Support team.

Throughout my career, I have demonstrated a proactive approach to monitoring and incident management, utilizing tools like Airflow and Datadog to ensure system reliability. I am particularly drawn to FanDuel's innovative use of data to maintain a competitive edge in the gaming industry. I am confident that my technical expertise and customer-oriented mindset will allow me to contribute effectively to your team's mission of delivering timely and consumable data across the organization.

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Описание вакансии

THE POSITIONOur roster has an opening with your name on it

FanDuel is looking for a Data Support Engineer to advance our data capabilities and ensure the reliability and performance of our critical data pipelines and infrastructure. FanDuel's competitive edge is enabled by our ability to leverage accurate and timely data for informed decision-making.

As a Data Support Engineer, you will be a valued member of the Data Support team, maintaining exceptional standards and servicing the needs of data consumers across the company. You will ensure the health of our data infrastructure, contribute to the delivery of reliable, timely, and consumable data, and combine technical troubleshooting with proactive monitoring. You'll have the opportunity to work in an agile environment where you will team up with colleagues having experience in data engineering, machine learning and more.

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.

THE GAME PLAN

Everyone on our team has a part to play

  • 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.
  • Lead impactful initiatives to enhance data pipelines and other data operations capabilities while mentoring and onboarding new support data engineers. Identify operational inefficiencies and implement automation solutions to reduce manual intervention.
  • 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 our governance policies.

Able to join team's On-call Pager duty rotation to ensure 24/7 coverage and timely response to critical data issues.

THE STATS

What we're looking for in our next teammate

  • Minimum of 3+ years of experience in data engineering with focus on operational support
  • Advanced SQL skills with proven query optimization experience
  • Strong problem-solving skills with ability to take ownership and accountability for issues through resolution
  • Python programming proficiency for automation and data processing
  • Experience with cloud data platforms (AWS, Databricks, Spark)
  • Understanding of data warehousing and ETL/ELT processing
  • Experience with dimensional data modeling, batch data ingestion, and real-time technologies like Kafka or Kinesis
  • Working knowledge of orchestration and monitoring tools (Airflow, Datadog, Databand, DataFold, Monte Carlo, Prometheus, Grafana)
  • Strong incident management and root cause analysis capabilities
  • Customer-oriented mindset with focus on delivering high-quality support services and attention to detail
  • Exceptional communication and interpersonal skills
  • Proven ability to work effectively within teams and across organizational boundaries
  • Experience owning and coordinating issues across multiple time zones
  • Experience identifying operational inefficiencies and implementing automation solutions using AI techniques

Preferred Qualifications:

  • Experience with data streaming patterns and tools like Dbt
  • Familiarity with CI/CD practices for data pipelines (BuildKite or Github Actions)
  • Familiarity with data visualization tools such as Tableau or Looker
  • Exposure to database design, performance analysis, and data quality metrics
  • Exposure to Data Science, Machine Learning, and AI applications

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).

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 any 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 - $152,250 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.*

FanDuel 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.

*It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.*

#LI-Hybrid

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Навыки

  • SQL
  • Python
  • AWS
  • Databricks
  • Apache Spark
  • Apache Airflow
  • Kafka
  • Amazon Kinesis
  • Datadog
  • dbt
  • Tableau
  • Looker
  • GitHub Actions
  • Prometheus
  • Grafana

Возможные вопросы на собеседовании

Вакансия подразумевает работу с инцидентами и дежурствами. Важно понять, как кандидат приоритизирует задачи в критических ситуациях.

Опишите случай, когда вам пришлось устранять критический сбой в пайплайне данных во время дежурства. Каковы были ваши шаги?

Оптимизация запросов указана как ключевой навык для поддержки аналитиков.

Какие стратегии вы используете для оптимизации медленных SQL-запросов в распределенных системах вроде Databricks или Spark?

Компания ищет способы автоматизации рутины.

Расскажите о процессе или задаче, которую вы автоматизировали с помощью Python. Какой измеримый результат это принесло команде?

Работа включает взаимодействие с аналитиками и инженерами.

Как вы объясняете техническую проблему или задержку в данных нетехническим стейкхолдерам?

Упоминается использование Kafka и Kinesis.

В чем основные отличия в подходе к мониторингу батчевых процессов от стриминговых (real-time) пайплайнов?

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fanduel
Страна
США
Зарплата
116 000 $ – 152 250 $