22 days ago
Atlanta, GA, USAMid Level
Base Salary
$116k - $152k/yr
Responsibilities
- Provide on-call technical support for analysts, data consumers, and data engineering teams, including query optimization, reporting anomalies, failed jobs, and data inconsistencies.
- Investigate and resolve data quality issues, pipeline failures, and alerts while supporting audit and control practices.
- Design and implement batch and real-time data pipelines for data warehouses and data lakes.
- Improve pipeline monitoring dashboards, support tools, data operations, and automation to reduce manual intervention.
- Lead operational initiatives and mentor and onboard new support data engineers.
- Create and maintain FAQs, troubleshooting documentation, support runbooks, and knowledge-base content.
- Drive workflows for consumer support, operations monitoring, incident management, and problem management.
- Administer account access across technology tools according to governance policies.
- Participate in the team's Pager on-call rotation to provide 24/7 coverage.
- Coordinate issues across multiple time zones and identify and resolve root causes.
Requirements
- At least 3 years of data engineering experience focused on operational support.
- Advanced SQL skills and proven query optimization experience.
- Python proficiency for automation and data processing.
- Experience with AWS, Databricks, and Spark.
- Understanding of data warehousing and ETL/ELT processing.
- Experience with dimensional data modeling, batch data ingestion, and real-time technologies such as Kafka or Kinesis.
- Working knowledge of Airflow, Datadog, Databand, DataFold, Monte Carlo, Prometheus, and Grafana.
- Strong incident management, root cause analysis, ownership, problem-solving, communication, and collaboration skills.
- Experience identifying operational inefficiencies and implementing automation solutions using AI techniques.
- Experience with data streaming patterns and dbt is preferred.
- Familiarity with BuildKite or GitHub Actions and CI/CD practices for data pipelines is preferred.
- Familiarity with Tableau or Looker is preferred.
- Exposure to database design, performance analysis, data quality metrics, Data Science, Machine Learning, and AI applications is preferred.
Benefits
- Health plans, including options as low as $0 per paycheck, plus fertility and family planning, mental health, and fitness programs.
- Paid time off, sick leave, and 14 paid company holidays.
- Annual bonus and long-term incentive opportunities based on performance.
- 401(k) with up to a 5% company match.
- Commuter benefits, pet insurance, and other employee benefits including medical, vision, dental, life, and disability insurance.
- Hybrid work arrangement, as indicated by the #LI-Hybrid designation.
Tech Stack
Apache AirflowApache KafkaApache SparkAWSBuildkiteDatabricksDatadogdbtGitHub ActionsGrafanaPrometheusPythonSQL
Categories
Data Engineering
About FanDuel
FanDuel builds consumer sports wagering and gaming products in North America, including FanDuel Sportsbook, daily fantasy sports, FanDuel Casino, and horse-racing wagering, plus the FanDuel TV/TV+ media platforms. It earns revenue from consumer bets, fantasy entry fees, and gaming operations, and is available across the U.S., Canada, and Puerto Rico. Founded in 2009 and headquartered in New York, it is a subsidiary of Flutter Entertainment (NYSE: FLUT).