Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Hearst Technology Services is seeking a Senior Data Engineer to contribute to the data and AI technology roadmap. This role involves managing the complete lifecycle of data projects, from analysis and design to development and production support, focusing on building secure and reliable data pipelines across cloud platforms. The engineer will also design tools for data extraction, transformation, and governance, and serve as a technical resource for various business teams.

Responsibilities

Design and build scalable, secure pipelines for ingesting, transforming, and moving large volumes of structured and unstructured data.
Build APIs and complex database logic to automate data fetching, transformation, and storage.
Utilize generative AI tools to accelerate pipeline development, testing, and maintenance across Snowflake, Microsoft Fabric, and Databricks.
Architect and maintain modular, reusable components for data and AI applications, using containerized workflows (Docker/Kubernetes).
Design, build, and maintain data solutions across AWS, Azure, and/or Google Cloud.
Implement data quality, security, and governance standards, including integrations with platforms like Informatica IDMC and MDM.
Securely handle PHI, PII, and PCI data in compliance with regulations.
Collaborate with data analysts, data scientists, and IT operations to build tools and pipelines for new data and AI products.
Provide technical leadership, mentor engineers, review designs, and guide on complex technical issues.
Apply DevSecOps practices and Agile methodologies (Jira, Scrum/Kanban) for work delivery.
Monitor and improve application performance, resiliency, and scalability.

Requirements

7+ years of experience building production data pipelines.
Strong Python (or equivalent) and both relational and non-relational database experience.
Hands-on experience with generative AI tools in 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.
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.
Experience documenting and testing complex systems.
Comfort working directly with data analysts, data scientists, and business stakeholders.
Experience with Agile delivery (Jira, Scrum, or Kanban) and DevSecOps practices.

Skills

Python
Relational databases
Non-relational databases
Generative AI tools
AWS
Azure
GCP
ETL tools
Data modeling
Containerization
Docker
Kubernetes
Data governance
Data security
Data quality
Informatica IDMC/MDM
Data structures
Algorithms
Software architecture
Agile methodologies
DevSecOps
Jira
Scrum
Kanban

Location

New York City

Work Type

Full-time

Experience Level

Senior
7+ years

Education Level

Bachelor’s degree in computer science, Information Systems, or a related field
Master’s preferred

Salary/Compensations

$140,000-$150,000 (New York City)

Benefits

Medical insurance
Dental insurance
Vision insurance
Disability insurance
Life insurance
401(k)
Paid holidays
Paid time off
Employee assistance programs

About the Company

Hearst is a large, diversified media, information, and services company with over 360 businesses.
Hearst's portfolio includes cable networks (A&E, HISTORY, ESPN), financial data (Fitch Group), healthcare information (Hearst Health), transportation, and digital services (iCrossing, KUBRA).
The company values the diverse backgrounds, disciplines, and perspectives of its employees.

Equal Opportunity

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.