data
Posted Mar 23Data Engineer
at Contentful
Denver, United StatesOn-site
Responsibilities
- Design, build, and maintain scalable data pipelines and transformations across multiple systems and sources.
- Develop high-quality data models that support analytics, reporting, and operational use cases.
- Implement strong data quality, validation, and monitoring processes to ensure reliability and trust in the data.
- Optimize data storage, processing, and performance within cloud data warehousing environments.
- Support data platform operations—troubleshooting issues, improving reliability, and ensuring SLAs are met.
- Collaborate with cross-functional partners on governance, documentation, definitions, and data stewardship.
- Implement CI/CD practices and Infrastructure-as-Code (IaC) to automate deployment, testing, and environment management.
Requirements
- experience in Data Engineering or a similar technical role.
- Strong SQL skills and
- experience working with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). •
- Experience building and maintaining ETL/ELT pipelines using tools such as dbt, Airflow, or similar frameworks.
- Proficiency in Python or another scripting language.
- Strong understanding of data modeling, data structures, and modern data architecture patterns. •
- Experience with CI/CD workflows, version control (Git), and Infrastructure-as-Code tools (Terraform a plus).
- Familiarity with data governance, quality, lineage, and cataloging concepts and tools.
- Demonstrated ability to collaborate with analysts, engineers, and business partners in a cross-functional environment.
- Experience with monitoring/observability tools (e.g., Monte Carlo, Datadog). •
- Experience with BI tools such as Tableau or Looker.
- Experience utilizing AI for development. What we're looking for
- JD/technology), for example.
- By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide.