The Role
The ETL Engineer will design, develop, and optimize ETL pipelines using tools like Azure Data Factory and ClickHouse, ensuring performance and reliability while integrating data from various sources.
Summary Generated by Built In
Position Summary:
MedReview is looking for a hands-on ETL Engineer who knows how to build, optimize, and scale data pipelines in a high-performance environment. This is not an entry-level role. You will be working with modern data tools and large datasets, with a strong focus on ClickHouse, SQL performance, and real time data processing.
If you're someone who can take ownership of data pipeline end-to-end and thrives in a fast-paced data-driven environment, this role is for you. This is an on-site role Monday - Thursday with remote Fridays. Candidates must be able to consistently work on-site. No exceptions. Salary $120-130K
Responsibilities:
You will be responsible for building and maintaining scalable ETL pipelines that power analytics and business intelligence.
We are targeting candidates who already have strong, hands-on experience in the following:
Nice to Have:
MedReview is looking for a hands-on ETL Engineer who knows how to build, optimize, and scale data pipelines in a high-performance environment. This is not an entry-level role. You will be working with modern data tools and large datasets, with a strong focus on ClickHouse, SQL performance, and real time data processing.
If you're someone who can take ownership of data pipeline end-to-end and thrives in a fast-paced data-driven environment, this role is for you. This is an on-site role Monday - Thursday with remote Fridays. Candidates must be able to consistently work on-site. No exceptions. Salary $120-130K
Responsibilities:
You will be responsible for building and maintaining scalable ETL pipelines that power analytics and business intelligence.
- Design and develop ETL pipelines using SSIS, Azure Data Factory, and Databricks
- Build and optimize ClickHouse ingestion pipelines (batch + streaming)
- Develop transformations for structured and semi-structured data
- Optimize SQL Server and ClickHouse queries for performance and scalability
- Improve data models, partitions, and materialized views in ClickHouse
- Integrate data from multiple sources (APIs, SQL Server, cloud storage, Kafka/Event Hubs)
- Monitor pipeline performance and ensure low latency + high reliability
- Implement data quality checks, error handling and lineage tracking
- Partner with BI teams to support dashboards (Power BI, etc)
We are targeting candidates who already have strong, hands-on experience in the following:
- ETL tools: Azure Data Factory, SSIS, Databricks
- Strong SQL skills (writing, optimizing, and troubleshooting complex queries)
- Experience working with ClickHouse (schema design, ingestion, optimization)
Experience with cloud environments (Azure perferred) - Programing in Python or Scala for data processing
Nice to Have:
- Experience with streaming data (Kafka, Event Hubs)
- Exposure to big data frameworks
- Understanding of DevOps/Data pipeline deployment practices
- Experience supporting BI tools (Power BI, Tableau)
- You can independently build and optimize ETL pipelines
- You understand how to make data systems faster, cleaner, and scalable
- You're comfortable working across engineering, analytics, and business teams
- You proactively identify performance issues and fix them
Skills Required
- Experience with ETL tools such as Azure Data Factory, SSIS, and Databricks
- Strong SQL skills for writing, optimizing, and troubleshooting complex queries
- Experience working with ClickHouse for schema design and optimization
- Programming experience in Python or Scala for data processing
- Experience in cloud environments, preferably Azure
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The Company
What We Do
MedReview is a physician-led healthcare services company and a leading authority in payment integrity solutions, offering auditing, utilization management, and clinical reviews to ensure accurate claims processing.
