Data Engineer at FanDuel

Atlanta, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

15 May, 26

Salary

152250.0

Posted On

14 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Query Optimization, Python, AWS, Databricks, Spark, Data Warehousing, ETL/ELT, Data Modeling, Kafka, Kinesis, Airflow, Datadog, Incident Management, Root Cause Analysis, Automation

Industry

Entertainment Providers

Description

THE POSITION Our 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

Responsibilities

The role involves providing on-call technical assistance for data-related inquiries, investigating and resolving data quality issues, and designing/implementing batch and real-time data pipelines. Responsibilities also include leading initiatives to enhance data operations, mentoring new engineers, and implementing automation solutions.