Job Description :

Senior Data Engineer

One of the most innovative and high-profile teams in News Corp is looking for a seasoned data engineer to help accelerate its vision. The role will involve combining all of News Corp’s data across categories, countries and organizations into a singular view of a customer enabling engagement, measurement and targeting. The Dow Jones Senior Data Engineer will partner closely with product, data & engineering teams to help make this data available and accessible to our businesses, teams and partners in order to drive revenue and improve the customer experience.

Responsibilities

Architecture & Pipeline Development:

• Design, implement, and maintain high-performance big data infrastructure and processing pipelines capable of scaling to billions of structured and unstructured events daily.

• Architect and maintain deep, resilient integrations with upstream data systems.

• Translate complex business requirements into logical, scalable data pipelines and processes.

Optimization & Data Quality:

• Monitor, troubleshoot, and optimize data platform performance, compute resources, and query execution.

• Establish and monitor comprehensive data quality metrics across all systems to ensure accuracy, consistency, and completeness.

• Evaluate, prototype, and implement emerging data processing technologies to keep the stack modernized.

Collaboration & Leadership:

• Partner with product teams on the overall roadmap, ensuring updates to senior leadership are 100% technically accurate and feasible.

• Conduct targeted research (data collection, analysis, and synthesis) to address specific engineering or business requests.

• Think quickly, communicate clearly, and work collaboratively alongside product, engineering, QA, and operations teams.

• Bring a high energy level, a strong work ethic, and a team-first mindset.

Technologies we use

• Data Warehouse & Modeling: Snowflake, dbt (Core/Cloud)

• Cloud Infrastructure: AWS (EMR, Lambda, S3, SNS, EC2, MWAA Athena, Redshift, DynamoDB), GCP (BigQuery, Cloud Storage)

• Processing & Orchestration: Python, Spark (PySpark), Apache Airflow

• DevOps, CI/CD & AI Tools: Kubernetes, Docker, Terraform (Infrastructure as Code), GitHub Actions, GitHub Copilot, Claude Code, Git, Jira

Qualifications

• BS in Computer Science or other technical discipline

• 5+ years of experience designing and developing big data processing systems using distributed computing

• 1+ years of production experience working with modern cloud data warehouses (Snowflake), advanced dbt workflows

• Fluency in Python and Spark

• Expert knowledge in optimizing complex SQL queries and Hands on experience with NoSQL (DynamoDB, MongoDB)

• Experience with job orchestration tools like Airflow

• An affinity for automation

• Experience working with cloud platforms such as AWS

• Familiarity with networking and network application programming, including HTTP/HTTPS, JSON, and REST APIs

• Experience with at least one object oriented language (ex: Java)

• Strong OO design, data structure, and algorithm design skills

• Strong interest in emerging technologies: Spark, EKS

Nice to Have

• Experience in the digital advertising and marketing industry

• Contribution to Open Source projects

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic.

Reasonable Accommodation

We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at [email protected]. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

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