Indotronix Avani Group
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a contract-to-hire basis for 7 months, offering $75 hourly. Key skills include 5+ years in data engineering, proficiency in Python, SQL, and cloud platforms, with experience in Databricks and containerization preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
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🗓️ - Date
December 20, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Docker #Data Modeling #Storage #NoSQL #"ETL (Extract #Transform #Load)" #Data Engineering #Programming #Data Pipeline #Scala #AWS (Amazon Web Services) #Data Layers #Agile #C# #Data Processing #Leadership #Azure #Microservices #Databricks #SQL (Structured Query Language) #Databases #Cloud #Python #Monitoring #Deployment
Role description
Title: Senior Data Engineer
Location: Remote
Pay Rate: $75 Hourly W2
Type & Duration: Contract to Hire| 7 Months
What success looks like in this role:
• Design, develop, and maintain robust, scalable data-driven applications combining data processing, transformation, and business logic.
• Enforce best practices across software and data layers through strong architecture and design principles.
• Collaborate with developers, architects and stakeholders to align application design with data strategies and business requirements.
• Build, test, and maintain reliable data pipelines integrated with application components.
• Support deployment, monitoring, and operational stability of data-centric applications in cloud or managed platform environments.
• Stay up-to-date with emerging technologies, tools, and best practices in both application development and data engineering.
You will be successful in this role if you have:
• At least 5+ years of professional experience in software development or data engineering projects
• Proven ability to contribute to architecture and design discussions encompassing application and data platform interactions.
• Proficiency in programming languages commonly used in data processing and application development, including Python, Scala, SQL, C#.
• Deep understanding of data engineering principles and broader software architecture practices, including microservices, APIs, and integration patterns.
• Experience with both SQL and NoSQL databases, ensuring efficient data modeling, storage, and transformation.
• Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and deploying scalable applications in these environments.
• Knowledge of containerization (e.g., Docker) and infrastructure-as-code practices is a plus.
• Experience with Databricks is a plus.
• Strong problem-solving, communication, and leadership skills, with the ability to mentor team members and drive technical decisions.
• Ability to work independently and collaboratively in an agile, fast-paced, high-impact environment.
• Strong written and verbal communication skills in English
Title: Senior Data Engineer
Location: Remote
Pay Rate: $75 Hourly W2
Type & Duration: Contract to Hire| 7 Months
What success looks like in this role:
• Design, develop, and maintain robust, scalable data-driven applications combining data processing, transformation, and business logic.
• Enforce best practices across software and data layers through strong architecture and design principles.
• Collaborate with developers, architects and stakeholders to align application design with data strategies and business requirements.
• Build, test, and maintain reliable data pipelines integrated with application components.
• Support deployment, monitoring, and operational stability of data-centric applications in cloud or managed platform environments.
• Stay up-to-date with emerging technologies, tools, and best practices in both application development and data engineering.
You will be successful in this role if you have:
• At least 5+ years of professional experience in software development or data engineering projects
• Proven ability to contribute to architecture and design discussions encompassing application and data platform interactions.
• Proficiency in programming languages commonly used in data processing and application development, including Python, Scala, SQL, C#.
• Deep understanding of data engineering principles and broader software architecture practices, including microservices, APIs, and integration patterns.
• Experience with both SQL and NoSQL databases, ensuring efficient data modeling, storage, and transformation.
• Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and deploying scalable applications in these environments.
• Knowledge of containerization (e.g., Docker) and infrastructure-as-code practices is a plus.
• Experience with Databricks is a plus.
• Strong problem-solving, communication, and leadership skills, with the ability to mentor team members and drive technical decisions.
• Ability to work independently and collaboratively in an agile, fast-paced, high-impact environment.
• Strong written and verbal communication skills in English
