$120K-150K a year
Design, develop, and maintain scalable data pipelines and infrastructure to support analytics and business intelligence.
5+ years of experience in data engineering with strong skills in SQL, Python, big data technologies, and cloud platforms.
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 cutting-edge technology meets real-world applications. Role Overview: As a Senior Data Engineer at Cornspring, you will play a pivotal role in designing, building, and maintaining scalable data pipelines and infrastructure. Your expertise will enable the company to harness large volumes of data efficiently, supporting analytics and business intelligence initiatives. What You'll Do: - You will design, develop, and optimize robust data pipelines to support various business needs. - You will collaborate with data scientists, analysts, and other engineers to integrate data solutions. - You will ensure data quality, integrity, and security across all platforms. - You will troubleshoot and resolve data-related issues promptly. - You will implement best practices for data management and governance. - You will mentor junior engineers and contribute to team knowledge sharing. - You will stay updated with emerging data 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 and Python. - You have hands-on experience with big data technologies such as Hadoop, Spark, or Kafka. - You are skilled in cloud platforms like AWS, Azure, or Google Cloud. - You have a solid understanding of data warehousing concepts and ETL processes. - You demonstrate excellent problem-solving and communication skills. Bonus Points If You Have: - Experience with containerization tools like Docker and Kubernetes. - Familiarity with machine learning pipelines and frameworks. - Knowledge of data visualization tools such as Tableau or Power BI. - Prior experience working in agile development environments. 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 growth and continuous learning. - We offer a collaborative and inclusive company culture. - We offer access to the latest tools and technologies. Ready to Apply? If you are ready to take on this exciting challenge, please complete the application form after clicking apply. The form takes approximately 5 to 10 minutes to complete. We look forward to hearing from you!
This job posting was last updated on 9/6/2025