$120K-150K a year
Design, develop, and optimize scalable data pipelines and infrastructure to support business analytics and intelligence.
5+ years of experience in data engineering with strong skills in SQL, Python, ETL, cloud platforms, and big data technologies.
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 ensure data quality and accessibility. - You will implement best practices for data storage, processing, and security. - You will troubleshoot and resolve data-related issues to maintain system reliability. - You will contribute to the architecture and strategy for data management and integration. - You will mentor junior engineers and share knowledge across teams. - 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 skills in SQL, Python, and ETL tools. - You have hands-on experience with cloud platforms such as AWS, Azure, or GCP. - You are proficient in building and maintaining data warehouses and data lakes. - You have a solid understanding of distributed systems and big data technologies like Hadoop or Spark. Bonus Points If You Have: - Experience with containerization and orchestration tools like Docker and Kubernetes. - Familiarity with real-time data processing frameworks such as Kafka or Flink. - Knowledge of machine learning pipelines and data science workflows. - Prior experience working in agile development environments. What We Offer: - We offer competitive salary and comprehensive health benefits. - We offer opportunities for professional growth and continuous learning. - We offer a flexible work environment with remote work options. - We offer a collaborative culture that values innovation and teamwork. - We offer support for work-life balance and employee wellness programs. 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