Senior Data Engineer

Overview

Remote
$60 - $70
Contract - W2
Contract - Independent
Contract - 06 Month(s)

Skills

Data Engineer
Python
Scala
SQL
C#
integration patterns
Azure
AWS
Google Cloud
cloud platforms
Docker
containerization
infrastructure-as-code
Databricks
data modeling
NoSQL

Job Details

Position: Senior Data Engineer

Location: REMOTE

Duration: 6+ Months

Job Description:

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
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