

Data Engineer (Azure)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Azure) supporting a large data ecosystem. Contract length is W2, with a pay rate of "unknown." Requires strong experience in MS Fabric, Azure Synapse Analytics, Spark, and data integration. Hybrid work in "Montvale, NJ; Denver, CO; Orlando, FL; or Atlanta, GA."
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 10, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Orlando, FL
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π§ - Skills detailed
#AI (Artificial Intelligence) #Synapse #Talend #Java #SQL (Structured Query Language) #Storage #Data Warehouse #PostgreSQL #Spark (Apache Spark) #Data Pipeline #Scala #AWS (Amazon Web Services) #Data Governance #Python #Azure cloud #MySQL #Security #Cloud #Apache Spark #Database Design #GCP (Google Cloud Platform) #Azure #Data Quality #Data Integration #Oracle #"ETL (Extract #Transform #Load)" #Apache Kafka #Data Modeling #Kafka (Apache Kafka) #Data Extraction #Datasets #Computer Science #Data Engineering #Programming #Data Storage #Azure Synapse Analytics
Role description
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Data Engineer
W2 only
Need someone who will support a large data ecosystem, working in Azure cloud development.
Need someone who has strong experience with MS Fabric including semantics, notebooks (codes written in python). Data extraction experience and integration with Data warehouse.
Azure Synapse Analytics exp needed. Should have experience using doc intelligence. Will prefer someone who knows Gen AI ( connecting large datasets to Gen AI). Spark exp is required to build large datasets.
This is hands on role. Need 2 days hybrid in Montvale, NJ; Denver, CO; Orlando, FL and can be Atlanta, GA too
Responsibilities:
β’ Collaborate with stakeholders to understand data requirements and translate them into technical solutions
β’ Design, develop, and maintain data pipelines and ETL processes
β’ Implement data integration and transformation solutions to ensure data quality and consistency
β’ Optimize data storage and retrieval for performance and scalability
β’ Monitor and troubleshoot data pipelines and systems to ensure data availability and reliability
β’ Implement and maintain data governance and security measures
β’ Stay up-to-date with emerging data engineering technologies and best practices
β’ Act with integrity, professionalism, and personal responsibility to uphold the firmβs respectful and courteous work environment.
Qualifications:
β’ Bachelor's degree in Computer Science, Information Systems, or a related field
β’ Proven experience as a Data Engineer or in a similar role
β’ Strong programming skills in languages such as Python, Java, or Scala
β’ Experience with data integration and ETL tools, such as Apache Spark, Apache Kafka, or Talend
β’ Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or Oracle)
β’ Familiarity with cloud platforms and services (e.g., AWS, Azure, or GCP)
β’ Knowledge of data modeling and database design principles
β’ Strong analytical and problem-solving skills
β’ Effective communication and collaboration skills