Cornspring

Design, develop, and maintain scalable data pipelines and infrastructure to support data processing and analytics. | 5+ years of experience in data engineering with strong skills in SQL, Python, cloud platforms, ETL, 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 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!

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!

Design, develop, and maintain scalable data pipelines and infrastructure to support analytics and business intelligence needs. | 5+ years of experience in data engineering with strong skills in SQL, Python, cloud platforms, ETL, 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 complex data sets, ensuring high-quality data availability for analytics and business intelligence. 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 various data sources and platforms. - You will implement best practices for data management, including ETL processes and data warehousing. - You will monitor and troubleshoot data systems to maintain high availability and performance. - You will mentor junior engineers and contribute to team knowledge sharing. - You will stay current 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 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. 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 machine learning pipelines and data science workflows. - Previous 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 access to the latest tools and technologies to support your work. 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!

Design, develop, and maintain 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 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 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 or Azure. - You are proficient in big data technologies like Hadoop, Spark, or Kafka. - You have a solid understanding of data warehousing concepts and architecture. 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. - Previous 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 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 by clicking the apply button. The form takes approximately 5 to 10 minutes to complete. Please note that visa sponsorship or transfer is not available for this position. We look forward to hearing from you!

Design, develop, and maintain scalable data pipelines and infrastructure to support business analytics and intelligence. | 5+ years of experience in data engineering with strong skills 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 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 data integration solutions from multiple sources, ensuring seamless data flow. - You will monitor and troubleshoot data systems to maintain high availability and performance. - You will contribute to the architecture and strategy for data storage and processing. - You will mentor junior engineers and promote best practices in data engineering. - 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 data pipeline frameworks such as Apache Airflow or similar. - You have experience with cloud platforms like AWS, GCP, or Azure. - You understand data warehousing concepts and tools such as Redshift, BigQuery, or Snowflake. - You have excellent problem-solving skills and attention to detail. - You communicate effectively and work well in cross-functional teams. Bonus Points If You Have: - Experience with containerization technologies like Docker and Kubernetes. - Knowledge of streaming data technologies such as Kafka or Kinesis. - Familiarity with machine learning pipelines and tools. - Prior experience in a fast-paced startup environment. 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 modern office spaces located in New York City. 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. Please note that visa sponsorship or transfer is not available for this position. We look forward to hearing from you!

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!

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 various platforms. - You will troubleshoot and resolve data-related issues promptly 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 to existing systems. 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 Redshift, BigQuery, or Snowflake. - You demonstrate excellent problem-solving skills and attention to detail. - You have strong communication skills and the ability to work effectively in cross-functional teams. Bonus Points If You Have: - Experience with containerization technologies such as Docker and Kubernetes. - Familiarity with streaming data platforms like Kafka or Kinesis. - Knowledge of machine learning pipelines and data modeling. - Prior experience in a fast-paced startup or tech environment. 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 collaborative and inclusive company 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!

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!