$120K-150K a year
Design, develop, and maintain scalable data pipelines and infrastructure to support data-driven decision making.
5+ years of experience in data engineering with proficiency in SQL, Python, cloud platforms, and data warehousing tools.
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 software engineers to integrate data solutions. - You will ensure data quality, integrity, and security across all data platforms. - You will troubleshoot and resolve data-related issues to maintain system reliability. - You will implement best practices for data engineering, including automation and monitoring. - You will mentor junior engineers and contribute to team knowledge sharing. - You will stay current with emerging technologies and recommend improvements. What You Bring: - You have 5+ years of experience in data engineering or related fields. - You possess strong proficiency in SQL, Python, and data pipeline frameworks such as Apache Airflow or similar. - You have hands-on experience with cloud platforms like AWS, GCP, or Azure. - You understand data warehousing concepts and have worked with tools like Snowflake or Redshift. - You demonstrate excellent problem-solving skills and attention to detail. - You have strong communication skills and the ability to work collaboratively in a team environment. Bonus Points If You Have: - Experience with big data technologies such as Spark or Hadoop. - Familiarity with containerization tools like Docker and Kubernetes. - Knowledge of machine learning pipelines and data modeling. - Prior experience 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 after 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