Job Title: Data Engineer

Company Name: Fustis LLC

Job Url: https://www.simplyhired.com/job/NYVabR2TLdk_jkEFXw1RFDGe688AKyjfoMECrQnzp2C1Z96W3l_n5A

Job Description: Data Engineer
Fustis LLC
New York, NY

Job Details
$75 - $78 a year
8 hours ago
Qualifications
Data model design
Databricks
Data modeling
Data Integration (Data management)
Azure
Engineering testing
Data lake
5 years
Infrastructure as Code (IaC)
C#
IT system monitoring
System design
NoSQL
Application deployment
Google Cloud Platform
Scalable systems
Microservices
System maintenance
SQL
AWS
Docker
Continuous improvement
Application design
Scala
Mentoring
Implementing APIs
Scalability
Software testing
System architecture design
Agile software development
Business requirements
Senior level
Cross-functional collaboration
Leadership
Communication skills
Python
Cross-functional communication
Database software proficiency
Full Job Description
Data Engineer

100% Remote (EST Candidates only)

7am EDT start time

12 Months

USC and GC Only

Pay Rate: $75-78/hr. on W2


Job Description:

Applies the principles of secure software engineering to the design, development, maintenance, testing and evaluation of software and cloud infrastructure. Works cross-functionally to understand business requirements, architecture and technology direction, evaluate alternative approaches and ensure software and systems are designed accordingly. Incorporates state-of-the-art concepts and practices to facilitate system functionality, scalability, resilience and security as well as ease-of-use. Applies agile principles to software development with a focus on delivery of business value, collaboration, continuous improvement and sustainability.

Key Qualifications:

Minimum of 5 years of professional experience in software development, with a strong focus on building data-driven applications.
Extensive experience designing, developing, and architecting applications that integrate complex data workflows and business logic.
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.
Proven ability to contribute to architecture and design discussions encompassing application and data platform interactions.
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.


Responsibilities:

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 current with emerging technologies, tools, and best practices in both application development and data engineering.

Skills include:
• Microsoft Azure Databricks
Data Lake
ETL