Job description
Job Description
Senior Data Engineer - MSAT
Everyone at Kite is grounded by one common goal – curing cancer. Every single day, we seek to establish a direct line between that purpose and our day-to-day work. Would you like to join us in this mission?
Kite is seeking a highly motivated individual with data engineering experience to work with structured and unstructured data and create data models to support for data science and data analytics team analyses innovative T cell therapies used for cancer treatment. As a Senior Data Engineer for Manufacturing Sciences and Technology (MSAT), you will develop data models and manage datasets to support decision making within MSAT. Act as an internal consultant by integrating different data sources and combine complex datasets to create the fundamentals for further advanced data analysis within the data science and data analytics team. You are a self-starter with experience and passion for data and big data scale processing. You enjoy working in fast-paced environments and making an impact. You are an exceptional communicator with the ability to translate technical concepts into easy-to-understand language for our stakeholders.
Core Responsibilities
- Partner with MSAT teams, data scientists and data analysts to design and build data pipelines, and define the overall MSAT data strategy
- Manage datasets on data infrastructure platforms
- Undertake preprocessing of structured and unstructured data
- Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support MSAT processes
- Develop, execute, manage data validation tests and data quality checks and implement monitoring in the pipelines to ensure confidence in the data
- Ensures data appears in the right format and the right systems for analysts and scientists to use
- Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
- Design and build visualization tools
- Integrate data collection for data automation
- Develop and improve data-based process performance monitoring systems
- Work with systems that consolidate the data across the organization
- Perform SQL tuning as necessary
- Carry out ad-hoc analysis as necessary
- Conduct technical and scientific training
- Additional duties as assigned
Required Skills and Experience
- Bachelor’s degree, in Computer Science or related field. Master’s degree preferred
- 5+ years of experience working as a Business Analyst or Data Engineer
- 3+ years of experience working with cloud data warehouses (Snowflake, Redshift, etc.)
- Proficient in SQL and Data Modeling
- Experience working within cloud computing environments such as AWS, Azure, Google Cloud
- Comfort working in a dynamic environment with several ongoing concurrent projects
- Ability to work independently and cross-functionally with team members of all levels
- 3+ years of experience working with data visualization tool Power BI or Spotfire
- Curiosity about the problem domain and an analytical approach
- Strong sense of ownership and growth mindset
Apply now!
