Senior Data Engineer

OVERVIEW OF THE COMPANY

Fox Corporation

Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.

JOB DESCRIPTION

The FOX Data Platform Team is looking for a Senior Data Engineer with a passion for building robust, scalable, efficient, and high-quality Data Engineering solutions to join our Data Engineering team. This is a great opportunity to join a data-first media company and be part of our Enterprise Data Platform team that prides itself in making Fox a data-driven organization. If you enjoy designing and building innovative data engineering solutions using the latest tech stack in a fast-paced environment, this role is for you.

A SNAPSHOT OF YOUR RESPONSIBILITIES

• Design and Scale Data Solutions:

  • Architect and implement robust, scalable data pipelines and workflows to process and manage large-scale datasets.

  • Collaborate on creating innovative data systems that align with evolving business needs.

• Leverage a Modern Tech Stack:

  • Utilize AWS, Databricks, Redshift, Snowflake, DBT, Airflow, Monte Carlo, and Atlan to build and optimize our data ecosystem.

  • Develop both real-time and batch data solutions to support analytics and operational requirements.

• Empower Advanced Analytics:

  • Apply statistical modeling and machine learning to solve complex, high-impact business problems.

  • Work closely with data scientists to build and deploy production-grade ML models at scale.

• Ensure Data Excellence:

  • Guarantee the quality, security, and reliability of data pipelines and platforms.

  • Use tools like Monte Carlo and Atlan to maintain data observability, governance, and trustworthiness.

• Innovate and Collaborate:

  • Partner with cross-functional teams to translate business challenges into data-driven opportunities.

  • Identify and implement creative, impactful solutions that push boundaries and deliver value.

WHAT YOU WILL NEED

• Strong Fundamentals:

  • Solid understanding of data architecture, distributed systems, and database design.

  • Experience in statistical modeling, machine learning, and mathematical problem-solving.

  • Hands-on coding experience with innovative problem solving skills

• Proficiency in Our Tech Stack:

  • Experience with AWS cloud services (S3, Lambda, Glue, etc.).

  • Solid hands-on experience with Databricks, Redshift, Snowflake, DBT, and Airflow.

  • Expertise in Advanced SQL programming and SQL Performance Tuning

  • Experience with CI/CD using GitHub Actions or Jenkins.

• Learning and Adaptability:

  • Willingness to learn and implement new tools, techniques, and frameworks.

  • A problem-solver who thrives on tackling complex challenges with creativity and scalability.

• Communication and Collaboration:

  • Ability to translate complex technical concepts into business insights for diverse stakeholders.

  • Comfortable working collaboratively in a large, diverse, and dynamic team environment.

Regular, on-site attendance at the workplace a minimum of 3 days per week is an essential function of the position. Selected candidate must be able to reliably meet this requirement.

WHAT WE WILL OFFER

• Creative Freedom: An open and innovative environment where you have the flexibility to experiment, innovate, and shape solutions.

• Flexible Work Timings: Empowering you to work in a way that aligns with your productivity and lifestyle.

• Impact at Scale: Work on transformative projects that influence decision-making across a global organization.

• Modern Data Ecosystem: Hands-on experience with cutting-edge tools and technologies in data engineering and data science.

• Career Growth: Opportunities for professional development and exposure to diverse challenges.

NICE TO HAVE, BUT NOT A DEALBREAKER

• 7+ years of experience in data engineering, data science, or related