Hearst is one of the nation's largest diversified media, information, and services companies, with more than 360 businesses spanning cable networks (A&E, HISTORY, ESPN), financial data (Fitch Group), healthcare information (Hearst Health), transportation, and digital services (iCrossing, KUBRA). Our strength comes from the range of backgrounds, disciplines, and perspectives our people bring together.
Hearst Technology Services is looking for a Senior Data Engineer to help shape our data and AI technology roadmap. You'll own the full lifecycle of complex data projects — from analysis and design through development and production support — building pipelines and integrations that move data securely and reliably across cloud platforms. You'll also help design the tooling that extracts, transforms, and governs data from both internal systems and external sources, and act as a technical resource for engineers, analysts, and data scientists across the business.
Design and build scalable, secure pipelines that ingest, transform, and move large volumes of structured and unstructured data across systems.
Build APIs and complex database logic to automate the fetch, transformation, and storage of data in multiple formats.
Use generative AI tools to accelerate the development, testing, and maintenance of pipelines across Snowflake, Microsoft Fabric, and Databricks.
Architect and maintain modular, reusable components that power larger data and AI applications, deployed via containerized workflows (Docker/Kubernetes) where applicable.
Design, build, and maintain data solutions across AWS, Azure, and/or Google Cloud.
Implement data quality, security, and governance standards consistently across cloud environments, including integrations between platforms like Informatica IDMC and MDM.
Securely handle PHI, PII, and PCI data in line with regulatory and internal compliance requirements.
Partner with data analysts, data scientists, and IT operations to build tools and pipelines that power new data and AI products — including downstream reporting and BI use cases.
Provide technical leadership on projects: mentor engineers, review designs, and offer guidance on complex technical or production issues.
Apply DevSecOps practices and Agile methodologies (Jira, Scrum/Kanban) to plan and deliver work.
Monitor and improve application performance, resiliency, and scalability as data volumes grow.
7+ years building production data pipelines, with strong Python (or equivalent) and both relational and non-relational database experience.
Hands-on experience with generative AI tools applied to data engineering workflows.
Experience designing and maintaining data solutions on at least one major cloud platform (AWS, Azure, or GCP).
Experience with ETL tools, data modeling, and building reusable, modular components for complex systems.
Working knowledge of containerization (Docker/Kubernetes) or similar deployment practices.
Experience implementing data governance, security, and quality standards, ideally including regulated data (PHI/PII/PCI).
Experience with Informatica IDMC/MDM or comparable data integration and master-data tooling.
Solid grounding in data structures, algorithms, and software architecture, with experience documenting and testing complex systems.
Comfort working directly with data analysts, data scientists, and business stakeholders to translate requirements into pipelines and products.
Experience with Agile delivery (Jira, Scrum, or Kanban) and DevSecOps practices.
Prior experience leading a small team of data engineers/analysts.
Experience with data classification and taxonomy tools, particularly within Informatica.
Exposure to BI/reporting tools (e.g., Power BI, Tableau, Looker) to support downstream analytics consumers.
Bachelor’s degree in computer science, Information Systems, or a related field; Master's preferred.
7+ years of experience as a Data Engineer, including senior or lead-level project ownership.
In accordance with applicable law, Hearst is required to include a reasonable estimate of the compensation for this role if hired in New York City. The reasonable estimate, if hired in New York City, is $140,000-$150,000. Please note this information is specific to those hired in New York City. If this role is open to candidates outside of New York City, the salary range would be aligned to that specific location. A final decision on the successful candidate’s starting salary will be based on a number of permissible, non-discriminatory factors, including but not limited to skills and experience, training, certifications, and education. Hearst provides a competitive benefits package, including medical, dental, vision, disability and life insurance, 401(k), paid holidays and paid time off, employee assistance programs, and more.
Skills Required
- 7+ years building production data pipelines with strong Python and relational and non-relational database experience.
- Hands-on experience with generative AI tools applied to data engineering workflows.
- Experience designing and maintaining data solutions on at least one major cloud platform (AWS, Azure, or GCP).
- Experience with ETL tools, data modeling, and building reusable, modular components for complex systems.
- Working knowledge of containerization and deployment practices (Docker, Kubernetes).
- Experience implementing data governance, security, and data quality standards, including regulated data (PHI/PII/PCI).
- Experience with Informatica IDMC and MDM or comparable data integration and master-data tooling.
- Solid grounding in data structures, algorithms, software architecture, plus documentation and testing of complex systems.
- Comfort working directly with data analysts, data scientists, and business stakeholders to translate requirements into pipelines and products.
- Experience with Agile delivery (Jira, Scrum or Kanban) and DevSecOps practices.
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Prior experience leading a small team of data engineers/analysts.
- Experience with data classification and taxonomy tools, particularly within Informatica.
- Exposure to BI/reporting tools (Power BI, Tableau, Looker) to support downstream analytics consumers.
- Master's degree in a related field.
Hearst Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hearst and has not been reviewed or approved by Hearst.
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Healthcare Strength — Healthcare coverage is described as comprehensive, including medical plan choice, full in-network preventive coverage, dental and vision, telemedicine, prescription coverage, and fertility resources. Mental-health resources and other wellbeing services (e.g., therapy sessions, crisis support, virtual physical therapy, and chronic-condition programs) further strengthen the health offering.
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Retirement Support — Retirement support is positioned as meaningful through a 401(k) plan with company matching and Hearst covering plan administration fees. Performance bonuses are also noted as available in some roles, adding an additional rewards component beyond base pay.
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Leave & Time Off Breadth — Time-off benefits include paid holidays, paid sick days, and vacation time with a commonly cited annual range, alongside paid parental leave and family medical leave. A remote work program and flexibility signals are also included as part of the overall rewards experience.
Hearst Insights
What We Do
Hearst is a leading global, diversified media, information and services company with more than 360 businesses. Its major interests include ownership in cable television networks such as A&E, HISTORY, Lifetime and ESPN; global financial services leader Fitch Group; Hearst Health, a group of medical information and services businesses; transportation assets including CAMP Systems International, a major provider of software-as-a-service solutions for managing maintenance of jets and helicopters; 33 television stations such as WCVB-TV in Boston and KCRA-TV in Sacramento, California, which reach a combined 19 percent of U.S. viewers; newspapers such as the Houston Chronicle, San Francisco Chronicle and Times Union (Albany, New York); more than 300 magazines around the world, including Cosmopolitan, ELLE, Men's Health and Car and Driver, and digital services businesses such as iCrossing and KUBRA; and investments in emerging digital entertainment companies such as Complex Networks.
