Data Engineer II, Ring/Blink Customer Service Engineering and Insights

What you'll do

• Operate and improve Python ETL pipelines and Airflow orchestration, including monitoring, failure triage, alerting, and SLA adherence.
• Manage AWS data access and permissions, and troubleshoot IAM, Lake Formation, and cross-account access issues.
• Reduce pipeline technical debt and ensure data retention, access controls, documentation, and workflows meet governance and compliance requirements.

What they ask for

• 3+ years of data engineering experience.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
• 3+ years of SQL experience.

Nice to have

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
• Experience with non-relational databases / data stores, such as object storage, document or key-value stores, graph databases, or column-family databases.

Pay

132,100.00 - 178,800.00 USD annually (base salary)

Tools

AWS, Airflow, Python, IAM, Athena, Redshift, Lake Formation, SQL

AI focus

Builds and operates data platform foundations that enable AI initiatives; the posting also mentions AI-assisted development as part of the team culture.