Overview
Senior Data Engineer role focused on extending and evolving digital products that support newsroom workflows, content discovery, and audience engagement.
What you'll do
- Develop data ingestion, transformation, and processing frameworks.
- Build and optimize data models, lakehouse architectures, and data products.
- Partner with product managers, analysts, data scientists, and engineers to translate requirements into scalable solutions.
- Ensure data systems meet security, privacy, and governance requirements.
- Create technical design documents, data flow diagrams, and operational runbooks.
- Develop testing strategies and automation to ensure data product reliability and correctness.
What you'll need
- At least 4+ years building large-scale data engineering solutions and data platforms.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Strong experience building data platforms using Databricks, Snowflake, or cloud-native data ecosystems.
- Hands-on experience with Python, PySpark, SQL, and distributed processing frameworks (Apache Spark or Flink).
- Experience building batch and streaming data pipelines using Kafka, Kinesis, Spark Structured Streaming, or equivalent.
- Experience with workflow orchestration platforms such as Airflow or Astronomer.
- Experience with AWS services including S3, Lambda, Glue, DynamoDB, Redshift, EMR, and related cloud technologies.
Read the full description and apply on the company’s own careers page.
