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Database Extract Transfer Load Jobs in New York (NOW HIRING)

MedReview

ETL Engineer

Manhattan, NY · On-site

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 ...

MedReview

ETL Engineer

New York, NY · On-site

$120/hr

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 ...

Avani Technology Solutions, Inc.

ETL Developer

Jersey City, NJ · On-site

$53 - $69.50/hr

Role: ETL Developer Location: Jersey City, New Jersey Industry: Financial Services-Banking Project Description: Client needs full stack engineers to execute front to back systems *Important* After 6 ...

Gain America

ETL Developer

Hicksville, NY · On-site

$90K/yr

Analyze and Optimizing of ETL load performance. Ensure accuracy & integrity of data through analysis, coding, writing clear documentation & problem resolution. Engage in design, documentation ...

Gain America

Datawarehouse ETL Developer

Hicksville, NY · On-site

$110K/yr

... support ETL mappings to migrate large data volumes from source systems into an enterprise data ... databases and datamarts Doing performance tuning and optimize storage of huge quantities of data ...

Saxon Global

ETL Developer

Hoboken, NJ · On-site

$55.75 - $73/hr

Developing ETL Processes between back office and downstream systems * Integrating multiple application points o a single application flow * Financial Industry Expreince or Murex Additional ...

Talan Group

Talend (ETL) Developer

Manhattan, NY · On-site

$100K - $145K/yr

Our client is seeking a Talend (ETL) Developer to join its data integration team. The team is responsible for designing, building, and maintaining enterprise-grade ETL solutions supporting critical ...

Lorven Technologies

ETL Tester

Manhattan, NY · On-site

ETL Tester Position: C2C Location: NYC, NY Duration: 12+ months Deep proficiency in SQL and relational database systems Healthcare Domain Knowledge Direct experience with Medicaid systems, HIPAA ...

Aequor

ETL QA Engineer

Basking Ridge, NJ · On-site

The role involves hands-on ETL testing of data warehouses, data lakes, and web services integrations, emphasizing data quality and testing proficiency. Responsibilities : • Utilize ETL Requirements ...

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Showing results 21-40

All JobsDatabase Extract Transfer Load JobsDatabase Extract Transfer Load Jobs in New York

Database Extract Transfer Load information

What is the difference between Database Extract Transfer Load vs Data Analyst?

AspectDatabase Extract Transfer LoadData Analyst
Primary RoleDesigning and managing data pipelines for data movementAnalyzing data to generate insights and reports
SkillsSQL, ETL tools, database managementData visualization, statistical analysis, SQL
Work EnvironmentData warehouses, ETL platforms, cloud servicesBusiness intelligence tools, spreadsheets, dashboards

While Database Extract Transfer Load specialists focus on building and maintaining data pipelines, Data Analysts interpret data to support decision-making. Both roles require SQL skills, but their core responsibilities differ significantly, with ETL and data management versus data analysis and reporting.

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Infographic showing various Database Extract Transfer Load job openings in New York as of June 2026, with employment types broken down into 4% As Needed, 64% Full Time, 28% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

ETL Engineer

Manhattan, NY • On-site

MedReview
Health Care and Social Assistance • 201 - 500 employees
Learn more about MedReviewexternal

Full-time

Re-posted 27 days ago

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 $120-130K 
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) 
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 

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