Data Engineer

About the Role

Key Responsibilities

• Engage and Enable Developers: Advocate for best practices in workflow orchestration, data pipeline design, and data platform architecture; support external developers through Slack, GitHub, forums, and events.
• Create Compelling Content: Write blogs, tutorials, technical deep dives, and produce sample code and reference architectures; deliver webinars, conference talks, and hands-on workshops on orchestration and data engineering topics.
• Build and Share Prototypes: Develop real-world use cases using Airflow (or similar), dbt, Spark, Kubernetes, and cloud services (AWS, GCP, Azure); create demo environments, integration guides, and GitHub repos showcasing orchestration workflows.
• Shape the Product with Feedback: Act as the bridge between the community and product/engineering teams by gathering feedback and contributing to product direction; champion developer needs internally.

Requirements

• 3+ years as a data engineer, data architect, or platform engineer.
• Hands-on experience building and orchestrating data pipelines with Apache Airflow or similar orchestration tools.
• Deep familiarity with data ecosystems (e.g., Spark, dbt, Kafka, Snowflake, Lakehouses, data APIs), Azure Data Factory, AWS Glue, Step Functions, GCP Dataproc etc.
• Strong communicator, comfortable presenting technical content to both technical and non-technical audiences.
• Proven ability to write engaging technical blogs, tutorials, or public code repositories.
• Experience with modern DevOps, CI/CD, and infrastructure-as-code practices.

Nice to Have

• Prior experience in developer advocacy, technical evangelism, or community building.
• Familiarity with open-source contribution workflows and Git-based collaboration.
• Experience working with containerized environments (Docker, Kubernetes).
• Understanding of LLMOps, MLOps, or real-time data architectures.

Qualifications

• Educational background is not explicitly specified, but extensive experience in data engineering roles is required.

Benefits & Perks

• The annual base salary range is $125,400 - $209,000, depending on experience and qualifications.
• Other rewards may include a variable plan and country-specific benefits.
• Flexible remote work options (#LI-Remote).
• Access to comprehensive benefits as detailed at https://guide.mybmcbenefits.com/.