Keyrus US Full Time

Data Engineer - San Francisco



    Keyrus Group is a trusted leader in Data Intelligence with offices across the globe in 17 countries. Our expert team provides strategic data engineering, data discovery, and data science solutions for our clients, primarily in the retail, non-profit, and financial services industries.


    The Keyrus US team is currently expanding rapidly! Our team has doubled in the last two years and is continuing to grow! If you are looking to join an innovative startup-style company that has the support of an internationally recognized brand, we encourage you to apply to our Data Strategy Consultant position and join our Management & Transformation practice!



    Keyrus is hiring an analytical minded and highly technical data engineer to join us in San Francisco! As a data engineer, you will take ownership of building critical data pipelines and modern data warehousing solutions that will be deployed on the cloud. Using some of the industry’s most bleeding-edge data technologies, you will work directly with business stakeholders to help define architecture and take part in the entire development lifecycle of our client’s projects.

    You will be an integral part of a team here at Keyrus that pushes the adoption of cloud and big data technologies. We are a language agnostic shop and are excited by the idea of working with new technologies that can deliver innovative solutions for our clients!


    • Design and develop scalable data pipelines for ingestion, transformation, and computation using big data technologies

    • Building and testing data ingestion and ETL programs from both structured and unstructured sources

    • Work with modern data storage, processing, and messaging tools and help continually grow and improve client’s data infrastructure


    • At least 2+ years of experience working as a Java, Python, C++ developer OR data engineer

    • At least 1+ years of experience working directly with big data technologies including:

      • Hadoop, Spark, Hive, Kafka, Scala, Big Query, Redshift, Cassandra etc.

    • Strong background working with cloud platforms such as AWS, GCP, Azure

    • Minimum of a Bachelor’s degree in Computer Science or related engineering field


    Please send an updated version of your resume to

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