Data Brick engineer

Clairvoyant Inc.
$110,000 - $120,000 / Year 
Senior level

Job Description

Location: Remote

Type: FTE

Data Brick engineer Role Responsibilities Overview:

Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc.)

Experienced in implementing standardized pipelines with automated testing, Airflow scheduling, Azure DevOps for CI/CD, Terraform for infrastructure as code, and Splunk for monitoring

Continuously improve systems through performance enhancements and cost reductions in compute and storage

Data Processing and API Integration: Utilize Spark Structured Streaming for real-time data processing and integrate data outputs with REST APIs

Lead Data Engineering Projects to manage and implement data-driven communication systems

Experienced with Scrum and Agile Methodologies to coordinate global delivery teams, run scrum ceremonies, manage backlog items, and handle escalations

Integrate data across different systems and platforms

Strong verbal and written communication skills to manage client discussions

Candidate Profile:

10+ years experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud

Based out of US

Some experience in insurance domain/ data is must

Programming Languages – SQL, Python

Technologies - IaaS (AWS or Azure or GCP), Databricks platform, Delta Lake storage, Spark (PySpark, Spark SQL).

Good to have - Airflow, Splunk, Kubernetes, Power BI, Git, Azure Devops

Job Type: Full-time

Pay: $110,000.00 - $120,000.00 per year

Experience level:

  • 10 years


  • 8 hour shift
  • Monday to Friday


  • Databricks: 10 years (Required)
  • Airflow: 3 years (Required)
  • Kubernetes: 1 year (Required)

Work Location: Remote

Ref #
23 days ago
Last updated 22 days ago

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