Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a contract basis in Bellevue, WA (Hybrid), requiring expertise in Synapse with PySpark, Azure Data Factory, and Big Data pipelines. Key skills include Java, Python, and data visualization with Power BI.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 3, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Bellevue, WA
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🧠 - Skills detailed
#Data Lake #Java #Spark (Apache Spark) #Microsoft Power BI #Version Control #PySpark #ADLS (Azure Data Lake Storage) #Monitoring #Visualization #Scala #Azure #Azure SQL #Azure Synapse Analytics #SQL (Structured Query Language) #Data Engineering #Data Pipeline #Synapse #BI (Business Intelligence) #Big Data #Azure ADLS (Azure Data Lake Storage) #Storage #ADF (Azure Data Factory) #Snowflake #Data Quality #Databricks #Azure Data Factory #Python
Role description
Hi,
Greetings from Smart IT Frame, Hope you are doing well!!!
Role: Data Engineer
Location: Bellevue, WA (Hybrid)
Duration: Contract
Job description:
• Experience in Synapase with pyspark
• Knowledge of Big Data pipelines Data Engineering
• Working Knowledge on MSBI stack on Azure
• Working Knowledge on Azure Data factory Azure Data Lake and Azure Data lake storage
• Handson in Visualization like Power BI
• Implement end to end data pipelines using cosmos Azure Data factory
• Should have good analytical thinking and Problem solving
• Good communication and coordination skills
• Able to work as Individual contributor.
Requirement Analysis:
• Create Maintain and Enhance Big Data Pipeline
• Daily status reporting interacting with Leads
• Version control ADOGIT CICD
• Marketing Campaign experiences
• Data Platform Product telemetry Analytical thinking
• Data Validation of the new streams
• Data quality check of the new streams
• Monitoring of data pipeline created in Azure Data factory
• updating the Tech spec and wiki page for each implementation of pipeline
• Updating ADO on daily basis.
Skills:
Mandatory Skills: Java, Python, Scala, Snowflake, Azure BLOB, Azure Data Factory, Azure Functions, Azure SQL, Azure Synapse Analytics, AZURE DATA LAKE, ANSI-SQL, Databricks, HDInsight
Good to Have Skills: Python, Azure BLOB, Azure Data Factory, AZURE DATA LAKE
Hi,
Greetings from Smart IT Frame, Hope you are doing well!!!
Role: Data Engineer
Location: Bellevue, WA (Hybrid)
Duration: Contract
Job description:
• Experience in Synapase with pyspark
• Knowledge of Big Data pipelines Data Engineering
• Working Knowledge on MSBI stack on Azure
• Working Knowledge on Azure Data factory Azure Data Lake and Azure Data lake storage
• Handson in Visualization like Power BI
• Implement end to end data pipelines using cosmos Azure Data factory
• Should have good analytical thinking and Problem solving
• Good communication and coordination skills
• Able to work as Individual contributor.
Requirement Analysis:
• Create Maintain and Enhance Big Data Pipeline
• Daily status reporting interacting with Leads
• Version control ADOGIT CICD
• Marketing Campaign experiences
• Data Platform Product telemetry Analytical thinking
• Data Validation of the new streams
• Data quality check of the new streams
• Monitoring of data pipeline created in Azure Data factory
• updating the Tech spec and wiki page for each implementation of pipeline
• Updating ADO on daily basis.
Skills:
Mandatory Skills: Java, Python, Scala, Snowflake, Azure BLOB, Azure Data Factory, Azure Functions, Azure SQL, Azure Synapse Analytics, AZURE DATA LAKE, ANSI-SQL, Databricks, HDInsight
Good to Have Skills: Python, Azure BLOB, Azure Data Factory, AZURE DATA LAKE
