Senior Data Reporting Engineer - Hybrid Databricks

Chamberlain Advisors, LLC

Deerfield (IL)

Hybrid

USD 70,000 - 73,000

Full time

14 days+
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Job summary

Chamberlain Advisors is seeking a Senior Data Reporting Engineer to design, develop, automate, and optimize scalable data solutions supporting enterprise reporting, analytics, research, and large-scale operational processes.

The role emphasizes building robust data pipelines, executing complex SQL queries, and leveraging Databricks and cloud platforms such as Azure and Snowflake to deliver insights for healthcare-related datasets.

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, or related quantitative field.
  • 5+ years in data engineering, reporting engineering, analytics engineering, or BI.
  • Strong experience with Databricks in enterprise environments.
  • Advanced SQL and relational data concepts.
  • Experience building and troubleshooting production data pipelines.
  • Knowledge of CI/CD pipelines, DevOps practices, and automation.

Responsibilities

  • Design, develop, maintain, and optimize scalable data solutions for reporting, analytics, and operations.
  • Build and support robust data pipelines ingesting, transforming, and delivering large data volumes.
  • Develop and optimize complex SQL queries and data transformations.
  • Work with Databricks and cloud environments to develop scalable data processing solutions.
  • Support migration of data processes into Azure Databricks and related platforms.
  • Create automated data processes for large-scale datasets and reporting feeds.
  • Participate in CI/CD, DevOps, deployment, testing, and production support.

Skills

SQL
Databricks
CI/CD
DevOps
Analytics
Communication

Education

Bachelor's degree in Computer Science or related

Tools

Databricks
Azure
Snowflake
Teradata
Python
Git/Azure DevOps

Job description

Chamberlain Advisors is seeking a Senior Data Reporting Engineer to design, develop, automate, and optimize scalable data solutions supporting enterprise reporting, analytics, research, and large-scale operational processes.

The role emphasizes building robust data pipelines, executing complex SQL queries, and leveraging Databricks and cloud platforms such as Azure and Snowflake to deliver insights for healthcare-related datasets.

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