Data Engineer

FanDuel•Atlanta, GA

3d•$116,000 - $152,250

About The Position

FanDuel is hiring a Data Support Engineer to advance its data capabilities and ensure the reliability and performance of critical data pipelines and infrastructure. The role supports data consumers across the company, helps maintain the health of the data infrastructure, and contributes to delivering reliable, timely, and consumable data. It combines technical troubleshooting with proactive monitoring in an agile environment alongside colleagues in data engineering, machine learning, and other fields. Employees may also be required to perform other duties as assigned to meet evolving business needs.

Requirements

At least 3 years of data engineering experience focused on operational support.
Advanced SQL skills and demonstrated query optimization experience.
Strong problem-solving skills and the ability to own issues through resolution.
Proficiency in Python for automation and data processing.
Experience with cloud data platforms such as 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 orchestration and monitoring tools such as Airflow, Datadog, Databand, DataFold, Monte Carlo, Prometheus, or Grafana.
Strong incident management and root cause analysis capabilities.
Customer-oriented approach, commitment to high-quality support, and attention to detail.
Exceptional communication and interpersonal skills.
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.

Nice To Haves

Experience with data streaming patterns and tools such as dbt.
Familiarity with CI/CD practices for data pipelines, such as 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.

Responsibilities

Provide on-call technical assistance to analysts, data consumers, and data engineering teams, handling inquiries about query optimization, reporting anomalies, complex pipeline issues, failed jobs, and data inconsistencies.
Investigate and resolve data quality issues identified by system alerts or stakeholders, while supporting compliance with internal and external audits and control practices.
Design and implement batch and real-time data pipelines for the data warehouse or data lake using data transformation technologies; improve monitoring dashboards and support tools.
Lead initiatives to improve data pipelines and data operations, mentor and onboard support data engineers, and identify operational inefficiencies for automation.
Create and maintain technical support materials, including FAQs, troubleshooting steps, support runbooks, and a knowledge base of recurring solutions.
Establish operational best practices and workflows for consumer support, operations monitoring, incident management, and problem management.
Administer account access to technology-stack tools in accordance with governance policies.
Participate in the team's on-call pager rotation to provide 24/7 coverage and timely response to critical data issues.

Benefits

Health plans, including some options with no paycheck cost.
Fertility and family-planning programs.
Mental health support and fitness benefits.
Paid time off and sick leave.
Annual bonus and long-term incentive opportunities based on performance.
401(k) with up to a 5% match.
Commuter benefits.
Pet insurance.
Medical, vision, and dental insurance.
Life insurance and disability insurance.
Potential short-term or long-term incentive compensation, including cash bonuses and stock program participation.
Paid personal time off and 14 paid company holidays.
Paid sick time in accordance with applicable state and federal laws.