Senior Data Engineer

Overview

Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Azure
Google Cloud
SQL
NoSQL databases
data modeling
microservices
APIs
integration
Python
Scala
C#
software development
architecture

Job Details

Title: Senior Data Engineer
Work location: Remote
Duration 12 Months

Note: Resumes should be 15+ Years only consider


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 Data bricks 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

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