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Data Engineer III
Data Engineer IIIFanatics • Long Beach, CA, United States
Data Engineer III

Data Engineer III

Fanatics • Long Beach, CA, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Job Description

As a Data Engineer III at Fanatics Betting & Gaming (FBG), you will play a crucial part in the development, deployment, and management of our shared data architecture. In this role, you will be responsible for building and maintaining the core data platform components that serve as the backbone for all data operations across our organization. You will architect and implement enterprise-grade solutions including Apache Airflow orchestration frameworks, Delta Lake and Iceberg catalog systems for our data lake infrastructure, and comprehensive RBAC permissions frameworks that ensure secure and governed data access across teams. Your work will encompass developing cost management and budget forecasting processes that optimize our cloud data spend, while building robust observability and monitoring solutions that provide real-time insights into platform health and performance.

You will design and implement security and encryption solutions that protect sensitive data throughout its lifecycle, configure networking infrastructure that enables seamless data flow across environments, and establish integration patterns with upstream and downstream systems throughout our company's broader data ecosystem. Your contributions will directly enable data engineers, analysts, and scientists across multiple teams to build sophisticated applications on a stable, scalable foundation.

You will collaborate with stakeholders from business intelligence, financial and regulatory compliance, customer analytics, marketing, sportsbook trading, and other business units to understand their needs and incorporate their use-cases into reusable core data infrastructure components. This position is perfect for individuals who are passionate about building platforms that empower others and have a strong foundation in cloud-native data technologies and enterprise architecture patterns. We are one team; we employ the principles of platform-first thinking, operational excellence, infrastructure as code, and service-oriented design to deliver a robust, self-service data platform that scales efficiently across our rapidly growing organization.

Responsibilities

  • Collaborate with cross-functional teams across the data ecosystem, to evaluate and define core platform elements that enhance the data ecosystem as a whole (while staying arms-length decoupled from individual use-cases or datasets)
  • Design, build, and maintain scalable and extensible core data infrastructure, including but not limited to : workflow orchestration, data cataloging, RBAC permissions framework, security and credentials management, cost management and forecasting tools, etc.
  • Enable other data engineers to easily and efficiently develop and maintain their own data pipelines, data assets, or data-as-a-service solutions, with minimal boilerplate or accidental complexity
  • Monitor the performance of data processing and storage platforms and systems, resolving any failures and ensuring scalability and performance
  • Develop a fundamental understanding of our industry, product, feature set and roadmap
  • Provide technical leadership and mentorship to junior data engineers, promoting a culture of excellence and continuous learning
  • Help to onboard new team members
  • Stay updated with emerging trends and technologies in data engineering, applying new techniques and tools to improve our data ecosystem
  • Must be open to occasional travel to Fanatics Betting & Gaming offices and other locations for events, meetings, and team-building activities

Required Qualifications

  • 5+ years of data engineering experience with a proven track record of helping to design and implement large-scale data solutions
  • Possess a strong foundation in data structures, algorithms, and software engineering principles
  • Demonstrated skills writing SQL queries
  • Familiar with other data programming languages including Python, Spark, or Java, and tools like Snowflake, Databricks, Redshift, or BigQuery
  • Proficient with cloud-native development practices in AWS, Azure, or GCP, using infrastructure-as-code via Terraform, AWS CDK, or similar technologies
  • Knowledgeable about data modeling, ETL development, and data warehousing principles
  • Familiar with SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, or Cassandra
  • Solid analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Excellent communication and collaboration skills
  • Intellectually curious and interested in solving difficult problems
  • Able to effectively communicate complex technical subjects to a variety of audiences (engineers, technical leaders, marketing and operations teams, non-technical functional leaders)
  • You have an agile mindset; able to embrace new initiatives in a fast-paced environment
  • Thrives in an entrepreneurial, hyper-growth environment where priorities evolve regularly and decisions are made quickly
  • Team-first mentality, with a willingness to do what it takes to get the job done and a desire to strive for better
  • Preferred Qualifications

  • Experience working in a start-up environment
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