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ETL Engineer

Job

MedReview

New York, NY (In Person)

$125,000 Salary, Full-Time

Posted 2 days ago (Updated 17 hours ago) • Actively hiring

Expires 7/21/2026

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Job Description

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 $120-130

K 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) Must-Haves (Non-Negotiables): 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 If you do not have

ETL + SQL

+ ClickHouse exposure, you will not be a fit. 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)

What Success Looks Like:

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