SQL/SSIS/Data Lake Engineer @ Onsite
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a SQL/SSIS/Data Lake Engineer in Charlotte, NC, lasting 12 months+. Key skills include SQL, SSIS, Liquibase, and TFS for legacy pipelines, with future work involving Hive, Dremio, Python, and Airflow for data lake projects.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 22, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#SQL (Structured Query Language) #Project Management #Spark (Apache Spark) #Virtualization #Data Integration #PySpark #Data Engineering #Data Lake #Liquibase #SSIS (SQL Server Integration Services) #Python #Data Pipeline #Programming #Airflow #Dremio #Datasets
Role description
SQL/SSIS/Data Lake Engineer
Location: Charlotte, NC
Duration: 12 Months+
Looking for someone who can manage existing data pipelines with SQL, SSIS, and Liquibase, and then in the future, move these pipelines to a data lake.
The Immediate Project (Legacy Pipeline)
They need someone who can immediately step in and manage existing data pipelines. This person should be highly proficient in:
• SQL: For database queries and manipulation.
• SSIS: A Microsoft tool used for building data integration workflows.
• Liquibase: A tool used to manage and track database changes.
• TFS (Team Foundation Server): A system for source code management and project management.
• Autosys: For scheduling and automating data jobs.
The Future Project (Data Lake Pipeline)
This candidate will also need to help with a new project to move the data from the old systems to a new data lake. For this, they need skills in:
• Hive: A tool that allows you to query data in a data lake using SQL-like commands.
• Dremio: A data virtualization platform that connects to data lakes.
• Python/PySpark: Programming languages used to process large datasets.
• Airflow: A platform to program, schedule, and monitor data workflows.
• Data Lake Architecture: A general understanding of how these new systems are built.
• In short, they need a well-rounded Data Engineer who is an expert in older technologies like SQL and SSIS and also has a strong understanding of new technologies like Python and Data Lakes.
SQL/SSIS/Data Lake Engineer
Location: Charlotte, NC
Duration: 12 Months+
Looking for someone who can manage existing data pipelines with SQL, SSIS, and Liquibase, and then in the future, move these pipelines to a data lake.
The Immediate Project (Legacy Pipeline)
They need someone who can immediately step in and manage existing data pipelines. This person should be highly proficient in:
• SQL: For database queries and manipulation.
• SSIS: A Microsoft tool used for building data integration workflows.
• Liquibase: A tool used to manage and track database changes.
• TFS (Team Foundation Server): A system for source code management and project management.
• Autosys: For scheduling and automating data jobs.
The Future Project (Data Lake Pipeline)
This candidate will also need to help with a new project to move the data from the old systems to a new data lake. For this, they need skills in:
• Hive: A tool that allows you to query data in a data lake using SQL-like commands.
• Dremio: A data virtualization platform that connects to data lakes.
• Python/PySpark: Programming languages used to process large datasets.
• Airflow: A platform to program, schedule, and monitor data workflows.
• Data Lake Architecture: A general understanding of how these new systems are built.
• In short, they need a well-rounded Data Engineer who is an expert in older technologies like SQL and SSIS and also has a strong understanding of new technologies like Python and Data Lakes.
