{"schemaVersion":"jobsearcher.job.v1","id":"ebe52a3536cf59421e1e15c7","url":"https://jobsearcher.com/jobs/ebe52a3536cf59421e1e15c7","canonicalUrl":"https://jobsearcher.com/jobs/ebe52a3536cf59421e1e15c7","title":"Senior Data Engineer","description":"AboutWe are seeking an experienced Senior Data Engineer to join our team at showcase. As a key member of our data team, you will play a vital role in building and maintaining our robust data infrastructure, powering business intelligence and machine learning initiatives.\r\nRequirements4+ years of experience in data engineering, with a strong proficiency in SQL, Python, dbt, and Snowflake or BigQuery. You should also have hands‑on experience with Airflow, Docker, and CI/CD for data workflows. A Bachelor’s degree in Computer Science or an equivalent field is required.\r\nResponsibilitiesAs a Senior Data Engineer, you will be responsible for building and maintaining production-ready data pipelines and warehouses. You will implement data quality checks and monitoring to ensure the accuracy and reliability of our data. You will also partner with analysts and data scientists to deliver high-quality datasets at scale, driving business insights and informed decision-making.\r\nKey Responsibilities and DeliverablesCollaborate with cross‑functional teams, including data analysts, data scientists, and product managers, to design and develop scalable data architectures and solutions.\r\nBuild and maintain data pipelines and warehouses using industry‑leading tools and technologies, such as Snowflake, BigQuery, and dbt.\r\nImplement data quality checks and monitoring to ensure data accuracy, consistency, and reliability.\r\nPartner with analysts and data scientists to deliver high‑quality datasets at scale, driving business insights and informed decision‑making.\r\nWork closely with engineering teams to integrate data pipelines and services with existing applications and systems.\r\nDevelop and maintain documentation for data pipelines and systems, ensuring clarity and consistency across the team.\r\nCollaborate with the data governance team to ensure compliance with data security, privacy, and regulatory requirements.\r\nStay up‑to‑date with emerging trends and technologies in data engineering, and make recommendations for tooling and process improvements.\r\nMentor junior data engineers, sharing knowledge and best practices to drive team growth and success.\r\nParticipate in on‑call rotations, providing support and troubleshooting for data‑related incidents and outages.\r\nDrive continuous improvement in data engineering practices, identifying areas for optimization and implementing process changes as needed.\r\nSkillsStrong proficiency in SQL and Python programming languages.\r\nExperience with data engineering tools, such as dbt, Snowflake, BigQuery, Airflow, Docker, and CI/CD.\r\nExcellent problem‑solving and analytical skills, with the ability to troubleshoot complex data‑related issues.\r\nStrong communication and collaboration skills, with the ability to work effectively with cross‑functional teams.\r\nExperience with data governance and compliance requirements, including data security, privacy, and regulatory standards.\r\nStrong understanding of data engineering principles and practices, including data modeling, data warehousing, and data integration.\r\nExperience with cloud‑based data platforms, such as Snowflake or BigQuery.\r\nStrong understanding of data quality and data monitoring techniques, including data profiling and data validation.\r\nExperience with data visualization tools, such as Tableau or Power BI.\r\nStrong understanding of data engineering best practices, including modular design, scalability, and maintainability.\r\nExperience with containerization and orchestration tools, such as Docker and Kubernetes.\r\nStrong understanding of data storage and retrieval techniques, including data warehousing and data lakes.\r\nExperience with data quality and data cleansing techniques, including data profiling and data validation.\r\nStrong understanding of data governance and compliance requirements, including data security, privacy, and regulatory standards.#J-18808-Ljbffr","company":"Kula Example","rawCompany":"kula example","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-04T02:54:57.325Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer","description":"AboutWe are seeking an experienced Senior Data Engineer to join our team at showcase. As a key member of our data team, you will play a vital role in building and maintaining our robust data infrastructure, powering business intelligence and machine learning initiatives.\r\nRequirements4+ years of experience in data engineering, with a strong proficiency in SQL, Python, dbt, and Snowflake or BigQuery. You should also have hands‑on experience with Airflow, Docker, and CI/CD for data workflows. A Bachelor’s degree in Computer Science or an equivalent field is required.\r\nResponsibilitiesAs a Senior Data Engineer, you will be responsible for building and maintaining production-ready data pipelines and warehouses. You will implement data quality checks and monitoring to ensure the accuracy and reliability of our data. You will also partner with analysts and data scientists to deliver high-quality datasets at scale, driving business insights and informed decision-making.\r\nKey Responsibilities and DeliverablesCollaborate with cross‑functional teams, including data analysts, data scientists, and product managers, to design and develop scalable data architectures and solutions.\r\nBuild and maintain data pipelines and warehouses using industry‑leading tools and technologies, such as Snowflake, BigQuery, and dbt.\r\nImplement data quality checks and monitoring to ensure data accuracy, consistency, and reliability.\r\nPartner with analysts and data scientists to deliver high‑quality datasets at scale, driving business insights and informed decision‑making.\r\nWork closely with engineering teams to integrate data pipelines and services with existing applications and systems.\r\nDevelop and maintain documentation for data pipelines and systems, ensuring clarity and consistency across the team.\r\nCollaborate with the data governance team to ensure compliance with data security, privacy, and regulatory requirements.\r\nStay up‑to‑date with emerging trends and technologies in data engineering, and make recommendations for tooling and process improvements.\r\nMentor junior data engineers, sharing knowledge and best practices to drive team growth and success.\r\nParticipate in on‑call rotations, providing support and troubleshooting for data‑related incidents and outages.\r\nDrive continuous improvement in data engineering practices, identifying areas for optimization and implementing process changes as needed.\r\nSkillsStrong proficiency in SQL and Python programming languages.\r\nExperience with data engineering tools, such as dbt, Snowflake, BigQuery, Airflow, Docker, and CI/CD.\r\nExcellent problem‑solving and analytical skills, with the ability to troubleshoot complex data‑related issues.\r\nStrong communication and collaboration skills, with the ability to work effectively with cross‑functional teams.\r\nExperience with data governance and compliance requirements, including data security, privacy, and regulatory standards.\r\nStrong understanding of data engineering principles and practices, including data modeling, data warehousing, and data integration.\r\nExperience with cloud‑based data platforms, such as Snowflake or BigQuery.\r\nStrong understanding of data quality and data monitoring techniques, including data profiling and data validation.\r\nExperience with data visualization tools, such as Tableau or Power BI.\r\nStrong understanding of data engineering best practices, including modular design, scalability, and maintainability.\r\nExperience with containerization and orchestration tools, such as Docker and Kubernetes.\r\nStrong understanding of data storage and retrieval techniques, including data warehousing and data lakes.\r\nExperience with data quality and data cleansing techniques, including data profiling and data validation.\r\nStrong understanding of data governance and compliance requirements, including data security, privacy, and regulatory standards.#J-18808-Ljbffr","datePosted":"2026-11-04T02:54:57.325Z","dateModified":"2026-11-04T02:54:57.325Z","hiringOrganization":{"@type":"Organization","name":"Kula Example","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ebe52a3536cf59421e1e15c7"},"url":"https://jobsearcher.com/jobs/ebe52a3536cf59421e1e15c7"}}