Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include SQL, ETL tools, cloud platforms, and programming languages. A Bachelor's degree and 3+ years of relevant experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 23, 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
Indianapolis, IN
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🧠 - Skills detailed
#C# #Data Science #Azure Data Factory #Data Engineering #Requirements Gathering #Kubernetes #Cloud #Azure #Data Analysis #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #BI (Business Intelligence) #GCP (Google Cloud Platform) #ADF (Azure Data Factory) #Python #Deployment #Data Integration #JavaScript #Data Architecture #Redshift #Docker #Documentation #Informatica #Data Modeling #Computer Science #Oracle
Role description
Job Description:
Essential Duties/Responsibilities:
• Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation
• Performing extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods.
• Designing and implementing data solutions for operational and secure integration across systems.
• Assist, with guidance and oversight from data architects, in creating database models and architecture design and documentation
• Conduct research and development as well as contribute to the long-term positioning of and emerging technologies related to data sourcing, cleansing, and integration
• Documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
• Improving operations by conducting systems analysis; recommending changes in policies and procedures.
• Involvement requirements gathering, solution reviews, and explaining technical complexities and business benefits in layperson terms.
Job Requirements:
• Bachelor’s degree in Computer Science, Engineering or a similar field is required
• 3+ years of data engineering, software engineer, or similar experience
• 2+ hands-on industry experience working with SQL on various relational database platforms (Microsoft, Oracle, Hana, Postgres, etc.)
• 2+ hands-on industry experience working with enterprise ETL/DW tools like Azure Data Factory, Redshift, Informatica, etc.
• Hands-on experience with aspects of data engineering design and implementation including data sourcing, data modeling of warehouses/marts/repositories, data integration/transformation/ETL, APIs, reporting, business intelligence and analytics
• Hands-on experience with modern programing languages like Python, C#, JavaScript, etc.
• Hands-on experience with cloud platforms like AWS, Azure, GCP, etc.
• Experience with Docker for containerization and Kubernetes for orchestration a plus
• Collaborative team player who is detailed oriented, focused on solution quality and execution
• Progressive mindset particularly around deployment models and emerging technologies
Job Description:
Essential Duties/Responsibilities:
• Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation
• Performing extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods.
• Designing and implementing data solutions for operational and secure integration across systems.
• Assist, with guidance and oversight from data architects, in creating database models and architecture design and documentation
• Conduct research and development as well as contribute to the long-term positioning of and emerging technologies related to data sourcing, cleansing, and integration
• Documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
• Improving operations by conducting systems analysis; recommending changes in policies and procedures.
• Involvement requirements gathering, solution reviews, and explaining technical complexities and business benefits in layperson terms.
Job Requirements:
• Bachelor’s degree in Computer Science, Engineering or a similar field is required
• 3+ years of data engineering, software engineer, or similar experience
• 2+ hands-on industry experience working with SQL on various relational database platforms (Microsoft, Oracle, Hana, Postgres, etc.)
• 2+ hands-on industry experience working with enterprise ETL/DW tools like Azure Data Factory, Redshift, Informatica, etc.
• Hands-on experience with aspects of data engineering design and implementation including data sourcing, data modeling of warehouses/marts/repositories, data integration/transformation/ETL, APIs, reporting, business intelligence and analytics
• Hands-on experience with modern programing languages like Python, C#, JavaScript, etc.
• Hands-on experience with cloud platforms like AWS, Azure, GCP, etc.
• Experience with Docker for containerization and Kubernetes for orchestration a plus
• Collaborative team player who is detailed oriented, focused on solution quality and execution
• Progressive mindset particularly around deployment models and emerging technologies
