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Cornspring

via Lensa

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NY Senior Data Engineer

Anywhere
full-time
Posted 9/9/2025
Key Skills:
SQL
Python
AWS
Azure
GCP
ETL
Data Warehousing
Hadoop
Spark
Docker
Kubernetes
Kafka
Flink

Compensation

Salary Range

$120K-150K a year

Responsibilities

Design, develop, and maintain scalable data pipelines and infrastructure to support data processing and analytics.

Requirements

5+ years of experience in data engineering with strong skills in SQL, Python, cloud platforms, ETL, and big data technologies.

Full Description

Job Title: Senior Data Engineer Company Overview: Cornspring is a forward-thinking technology company specializing in data-driven solutions that empower businesses to make smarter decisions. With a commitment to innovation and excellence, Cornspring fosters a collaborative environment where talented professionals can thrive and grow. Role Overview: As a Senior Data Engineer at Cornspring, you will play a critical role in designing, building, and maintaining scalable data pipelines and infrastructure. Your expertise will enable the company to harness complex data sets and deliver actionable insights that drive strategic initiatives. What You'll Do: - You will design, develop, and optimize robust data pipelines to support large-scale data processing. - You will collaborate with data scientists, analysts, and engineers to understand data requirements and deliver solutions. - You will ensure data quality, integrity, and security across all data platforms. - You will implement best practices for data management, including ETL processes and data warehousing. - You will troubleshoot and resolve data-related issues to maintain system reliability. - You will mentor junior engineers and contribute to team knowledge sharing. - You will stay current with emerging data technologies and recommend improvements. - You will participate in code reviews and contribute to continuous integration and deployment processes. What You Bring: - You have 5+ years of experience in data engineering or related fields. - You possess strong proficiency in SQL and Python for data manipulation and automation. - You have hands-on experience with cloud platforms such as AWS, Azure, or GCP. - You are skilled in building and maintaining ETL pipelines and data warehouses. - You have a solid understanding of distributed systems and big data technologies like Hadoop or Spark. - You demonstrate excellent problem-solving skills and the ability to work collaboratively in a team environment. Bonus Points If You Have: - Experience with containerization tools such as Docker and orchestration platforms like Kubernetes. - Familiarity with real-time data processing frameworks such as Kafka or Flink. - Knowledge of data governance and compliance standards. - Prior experience working in a fast-paced startup or tech company. What We Offer: - We offer competitive salary and comprehensive health benefits. - We offer flexible work hours and remote work options. - We offer opportunities for professional development and career growth. - We offer a dynamic and inclusive workplace culture. - We offer access to cutting-edge tools and technologies. Ready to Apply? If you are ready to take on this exciting challenge, please complete the application form by clicking the apply button. The form takes approximately 5 to 10 minutes to complete. We look forward to hearing from you!

This job posting was last updated on 9/9/2025

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