
Citadel Information Services Inc
Hybrid in Jersey City, New Jersey • Yesterday
Easy Apply
Contract
Depends on Experience
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Citadel Information Services Inc
Hybrid in Jersey City, New Jersey • Yesterday
Easy Apply
Contract
Depends on Experience


Responsible for building scalable ingestion, transformation, and storage pipelines across DataBricks Medallion Layers, Azure Data Factory, SQL Server, and staging/data layers, supporting Metrics Repository and onboarding of new datasets
Summary: Builds systems that gather, store, and process large volumes of data for analysis. Responsibilities: Develop ETL pipelines, ensure data quality, optimize data storage solutions. Skills: Python, SQL, cloud data tools experience- Azure Data Factory)
Financial domain experience must
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Hybrid in Holmdel, New Jersey
•
Today
Title: Sr. Data Engineer with Investment domain experience Location: Holmdel, NJ / Hudson Yards, NYC / Bethlehem, PA Duration: 6+ month Job Summary The Senior Data Engineer will design, develop, and support scalable enterprise data solutions for Clients Investments organization. The role will build high-performing data pipelines and data platforms that deliver reliable investment data for reporting, analytics, and downstream business processes. The engineer will work with investment data acros
Easy Apply
Contract
Depends on Experience
Edison, New Jersey
•
Today
Postion:Data EngineerLocation: Edison, NJ (Onsite)Type of Employment: W2 Contract Duration: 06+ Months Job SummaryWe are looking for a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data solutions. The ideal candidate should have strong experience with data integration, ETL/ELT processes, cloud data platforms, databases, and data analytics technologies. Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and ETL/ELT workflows.Develop and
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Contract, Third Party
Depends on Experience

Princeton University
Princeton, New Jersey
•
Today
Overview The Princeton DMIA Integration team is looking for a Data Engineer to own and evolve our data integration practice. You will be responsible for ingesting data from enterprise source systems into our data warehouse platform - what the CIO office refers to as system-to-data-repository integrations. You will play a key role in our migration to a cloud-native data platform, with candidates expected to bring expertise in modern tooling such as Microsoft Fabric, Snowflake with dbt and Fivetr
Full-time
USD 120,000.00 - 135,000.00 per year
Remote
•
3d ago
Role: Azure Data Engineer (Azure Data Factory & Azure Data Lake) Location: Remote Duration: FTE Must have: Hands-on experience with Azure Data Factory for designing, developing, and maintaining data pipelines.Expertise in Azure Data Lake Storage and enterprise-scale data lake management.Experience developing ETL/ELT workflows to ingest data from databases, APIs, flat files, and cloud applications.Knowledge of Mapping Data Flows, SQL, and Spark for data transformation.Experience with incremental
Easy Apply
Full-time
100,000 - 110,000