Hiring: Staff Software Engineer, Turbo Tax Data Company: Intuit Location: San Diego, CA Job Posted Time: 2026-09-03 10:45:03 Target Skills & Keywords : AWS, Agile, Azure, Databricks, Docker, DynamoDB, EC2, EMR, Flink, GCP, Java, Kubernetes, Linux, Python, S3, SQL, SageMaker, Scala, Scrum, Spark, Spring, Systems Design About the job Experience: •8+ years of software engineering experience, with a strong background in data engineering. •5+ years of Expert professional experience with SQL, XML, JSON, YML, very strong Python and Linux. Required Skills: •Technical Leadership & Execution •70-85% hands-on development in all phases of the software life cycle. •Rapidly fix bugs and solve problems, and troubleshoot issues, defining ongoing solutions. Expertly diagnose and resolve complex, cross-capability issues. •Lead, estimate work for initiatives Create technical design specifications and implement data models •Raise team knowledge, skill, and engagement through collaborative technical sessions and other tech forums. •Mentor and assess engineers, continuously developing and maintaining a strong talent pipeline, and actively participating in calibrations and assessments. •Role model and develop a culture of inclusivity on the team. •Guide and mentor engineers to elevate experimentation and growth engineering capabilities across the organization. Qualifications: •BS or MS in Computer Science, Data Engineering, or a related field. •Expertise in developing Software for Java (Spring & Springboot), Scala for Spark streaming & Spark applications, or other JVM based languages. •Use of GenAI technologies such as Cursor or Windsurf to accelerate development and efficiency in the software development to build reusable GenAI platform components. •Expertise with tools and frameworks such as Docker, Spark, Scala, Jupiter Notebook, Databricks Notebooks, Kubernetes, Feature Management Platforms, and SageMaker. •Expert knowledge of software development methodologies and practices, including Agile Development, SCRUM, and/or Extreme Programming methodologies. •Strong background using cloud platforms such as AWS, Azure, or GCP, including Amazon Web Services: EC2, S3, EMR (Elastic Map Reduce), DynamoDB, and Athena, or equivalent cloud computing approaches. Expertise with AWS is specifically noted. •Professional working experience in Data Warehousing and analytic architecture and experience working with large data volumes and data visualization. Compensation: •$188,500 - $255,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!