Role: Senior Data Engineer with Databricks Remote (US) with ability to cover a few PST hours
Job Type: W2 Contract
Experience Level: Senior
Primary Skills: Databricks, Spark/PySpark, Kafka, Delta Lake, Python, SQL, PostgreSQL, AWS, Datadog, PagerDuty
Key Responsibilities:
- Respond promptly to PagerDuty and Datadog alerts, triaging incidents efficiently.
- Debug and resolve failures across streaming and batch data pipelines.
- Troubleshoot Databricks/Spark job failures, Kafka lag/connectivity issues, Delta Lake checkpoint failures, PostgreSQL sink issues, and schema-related failures.
- Restart jobs, apply configuration fixes, and escalate issues with detailed root cause analysis as needed.
- Execute operational runbooks and maintain thorough incident documentation and postmortems.
- Improve platform stability by reducing recurring incidents and alert noise.
- Coordinate effectively with downstream consumers and engineering teams during incidents.
Required Skills: Strong hands-on experience with Databricks, Spark/PySpark, Kafka, Delta Lake, Python, SQL, and PostgreSQL. Experience with AWS services including S3, IAM, Secrets Manager, and KMS. Knowledge of Datadog, PagerDuty, and production observability practices. Strong troubleshooting and debugging skills across distributed systems and streaming pipelines. Ability to distinguish between transient infrastructure issues, configuration fixes, and application/code defects.
Preferred Skills: Experience with Apache Flink and stateful streaming systems. Healthcare or HIPAA domain exposure. Experience with dbt, Great Expectations, or data quality frameworks. Terraform-managed cloud infrastructure experience.
For applications and inquiries, contact: [email protected]
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