Sr Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Required skills include 3-5 years in data analytics using SQL, cloud development (preferably Azure), and experience in large-scale data engineering solutions.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 18, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#SQL Server #Databricks #Data Management #Data Engineering #Scripting #Jenkins #Azure DevOps #Spark (Apache Spark) #Storage #GitHub #Tableau #DevOps #Microsoft Power BI #BI (Business Intelligence) #Unix #Azure Blob Storage #ADF (Azure Data Factory) #Terraform #SQL (Structured Query Language) #Data Governance #Python #Data Lake #Azure #Oracle #Snowflake #Agile #Cloud #Axon #MongoDB #Grafana #Azure Data Factory #Informatica #Microsoft Azure #ADLS (Azure Data Lake Storage) #Azure cloud #Teradata #Alteryx #Computer Science #Data Ingestion #Azure Databricks
Role description
Minimum Qualifications- Education & Prior Job Experience
• Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
• 3-5 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
• 3-5 years data analytics experience using SQL
• 3-5 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
• Combination of Development, Administration & Support experience in several of the following tools/platforms required: o Scripting: Python, Spark, Unix, SQL o Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer.
Administration skills a plus o Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions o CI/CD: GitHub, Jenkins, Azure DevOps, Terraform o BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana o Clear understanding on Data Warehousing concept o Data Governance and Privacy: Informatica Axon and EDC, BigID o Orchestration:
Azure Data Factory, Tivoli Preferred Qualifications- Education & Prior Job Experience
• 5-7 years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
• 5-7 years data analytics experience using SQL
• 5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
• Azure (Data Factory, Azure Functions, ADX, Event Hub, ASA) experience
• Airline Industry Experience Skills, Licenses & Certifications
• Expertise with the Azure Technology stack for data management, data ingestion, capture, processing and curation
• Expertise in providing practical direction within the Azure Native cloud services.
• Azure Development Track Certification (preferred)
• Spark Certification (preferred)
Minimum Qualifications- Education & Prior Job Experience
• Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
• 3-5 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
• 3-5 years data analytics experience using SQL
• 3-5 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
• Combination of Development, Administration & Support experience in several of the following tools/platforms required: o Scripting: Python, Spark, Unix, SQL o Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer.
Administration skills a plus o Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions o CI/CD: GitHub, Jenkins, Azure DevOps, Terraform o BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana o Clear understanding on Data Warehousing concept o Data Governance and Privacy: Informatica Axon and EDC, BigID o Orchestration:
Azure Data Factory, Tivoli Preferred Qualifications- Education & Prior Job Experience
• 5-7 years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
• 5-7 years data analytics experience using SQL
• 5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
• Azure (Data Factory, Azure Functions, ADX, Event Hub, ASA) experience
• Airline Industry Experience Skills, Licenses & Certifications
• Expertise with the Azure Technology stack for data management, data ingestion, capture, processing and curation
• Expertise in providing practical direction within the Azure Native cloud services.
• Azure Development Track Certification (preferred)
• Spark Certification (preferred)
