How does swipeandhired work?

You set your target roles, salary floor and locations once. swipeandhired scores matching postings against your profile, drafts tailored application materials with AI, and either lets you swipe to apply, one tap at a time, or runs fully on autopilot. Every application is tracked in your dashboard.

Which ATS platforms does swipeandhired support?

All of them. swipeandhired applies on every applicant tracking system (ATS) employers use, including Workday, SmartRecruiters, Greenhouse, iCIMS, Lever, Ashby, Taleo, SuccessFactors, Oracle Cloud and Jobvite, and on a company's own careers page when it uses none of them. You can also bring any posting yourself by link or pasted text.

Can I cancel my subscription?

Anytime, in one click from the billing portal in Settings. Your plan stays active until the end of the current billing period. No retention calls, no dark patterns.

Is my data used for training AI models?

Our platform AI provider may use the content we send it, your profile and the job posting, to improve its models. We never sell your data. If you bring your own AI provider key, requests go directly to your provider under their terms.

Director, Data Engineering at Fox, Los Angeles, CA

Director, Data Engineering at Fox in Los Angeles, CA. Full-time. $179,000 to $228,500 a year. Apply with swipeandhired.

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
ABOUT THE ROLE
We are looking for a Director of Data Engineering to provide technical and people leadership across strategic data initiatives supporting our Advertising Sales organization. In this role, you will lead the development of scalable data solutions that drive Business Intelligence (BI) automation and enable the next generation of agent-to-agent advertising experiences.

You will be responsible for building and evolving a common context layer that brings together critical data and business context, creating a trusted foundation for analytics, automation, and AI-powered workflows. You will partner closely with engineering, product, data, and business stakeholders to translate complex Ad Sales needs into scalable data capabilities while leading and developing a high-performing engineering team.

A SNAPSHOT OF YOUR RESPONSIBILITIES

Lead and grow a high-performing Data Engineering & BI team responsible for building scalable data platforms, pipelines, and services supporting Ad Sales
Define and execute the technical strategy for Ad Sales BI automation, improving the accessibility, consistency, and reliability of business-critical data and insights
Architect and build a common context layer that unifies data and business context to support analytics, automation, and AI-driven experiences
Enable agent-to-agent experiences by developing trusted, reusable data foundations and context that AI agents and intelligent applications can leverage
Partner with Product, Engineering, Analytics, and Ad Sales stakeholders to identify opportunities to automate workflows and improve data-driven decision-making
Establish engineering standards and best practices across data architecture, data quality, governance, observability, scalability, and reliability
Drive the modernization and automation of data workflows, reducing manual processes and accelerating the delivery of actionable insights
Provide technical direction on complex data engineering challenges while balancing near-term business priorities with long-term platform strategy
Recruit, mentor, and develop engineering talent while fostering a culture of technical excellence, accountability, collaboration, and innovation

WHAT YOU WILL NEED

10+ years of experience in data engineering, software engineering, data platforms, or related technical roles, including 5+ years leading and developing engineering teams
Deep technical understanding of modern data engineering architectures, with experience designing and scaling enterprise-grade data platforms, pipelines, and services
Hands-on knowledge of cloud and modern data technologies such as AWS, Databricks, Apache Spark, and related distributed data processing frameworks
Strong understanding of data lake, data warehouse, and lakehouse architectures, including approaches for structuring and serving large-scale analytical datasets
Experience with modern data orchestration and transformation frameworks and patterns for building reliable, maintainable, and reusable data pipelines
Strong understanding of data modeling, data contracts, metadata management, lineage, governance, data quality, and observability
Experience designing data platforms that support BI, analytics, automation, machine learning, and AI-powered applications
Understanding of how enterprise data, metadata, semantic models, and contextual information can be structured and exposed to support AI agents and agentic workflows
Experience establishing engineering standards around scalability, reliability, performance, security, and cost optimization across cloud-based data environments
Strong knowledge of software engineering principles, APIs, distributed systems, and integration patterns relevant to modern data platforms
Proven ability to evaluate emerging technologies, make architectural tradeoffs, and set a technical roadmap that balances immediate business needs with long-term platform strategy
Demonstrated ability to translate complex business requirements into scalable technical solutions and communicate architecture, technical decisions, and tradeoffs to both technical and business stakeholders
Strong people leadership skills with experience hiring, mentoring, developing, and retaining high-performing engineering talent

NICE TO HAVE, BUT NOT A DEALBREAKER

Experience working in advertising, Ad Sales, advertising technology, or media technology
Experience building data foundations or platforms that support generative AI, agentic AI, or agent-to-agent workflows

#Ll-CC1
#Ll-Hybrid

Learn more about Fox Tech at https://tech.fox.com
#foxtech
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $179,000.00-228,500.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.

View more detail about FOX Benefits.