Job Url: https://www.remoterocketship.com/company/kssnyc-co/jobs/senior-data-engineer-united-states-remote

Job Description: 
K Systems Solutions LLC
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K Systems Solutions LLC is a comprehensive IT services company that specializes in Microsoft 365 administration, systems engineering, IT staffing, software and hardware sales, and cybersecurity solutions. With a focus on simplicity, honesty, innovation, and purpose, K Systems Solutions provides support to both internal teams and external clients by offering a range of services including systems auditing and design, cybersecurity consulting, and the reselling of technological products. 

Their dedicated team of staffing experts assists in building skilled IT and engineering teams, ensuring that businesses have the resources they need to thrive in a rapidly changing technological landscape. 

Consulting • Outsourcing • Unified Marketing • Training • Business Process Automation


2 - 10 employees


Founded 2016

🔒 Cybersecurity

☁️ SaaS

Senior Data Engineer
June 24

🗽 New York – Remote


⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

Airflow

AWS

Azure

Cloud

ETL

Google Cloud Platform

Informatica

Java

Node.js

Oracle

Python

Scala

SQL

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📋 Description
• Collaborate with stakeholders to define and understand data needs.
• Design and develop efficient data architectures that can support large-scale data processing and storage requirements.
• Develop and maintain data pipelines, data models, and ETL processes that align with business requirements, data quality standards, and industry best practices.
• Work closely with other data engineering teams to build and maintain reusable data pipelines and tools.
• Monitor, troubleshoot, and optimize data pipelines and processes for performance, reliability, and scalability.
• Ensure the quality and integrity of various datasets across different platforms and data sources.
• Continuously evaluate and recommend emerging technologies and methodologies to improve data engineering processes, workflows, and performance.
• Mentor and guide junior data engineers on technical best practices, code reviews, and design patterns to ensure high-quality, scalable, and maintainable data engineering solutions.
• Perform special technology-related projects, as assigned.

🎯 Requirements
• 12+ years of experience in data engineering with a focus on designing and building scalable data platforms using cloud technologies.
• Strong experience designing and implementing data models and schemas in Snowflake.
• Expert proficiency in SQL and one or more programming languages such as Python, Java, or Scala.
• Knowledge of cloud-based data platforms such as AWS, Azure, or GCP.
• Experience designing and implementing ETL and data integration pipelines.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
• Experience with Agile methodologies and working in an Agile team environment.
• Experience developing production-grade, large-scale data solutions using cloud technologies.
• Experience managing data orchestration at scale using tools such as Airflow and Dagster.
• Familiarity with version control systems (e.g., Git) and CI/CD principles.