Intuit
Come join the Data Engineering Team as a Software Engineer 2. We are leveraging big data technologies to gain new insights into our customer experiences; building data frameworks, ingestion pipelines, and tools. Some of the technologies we are leveraging include Google Cloud, Hive, and AWS Big Data Systems.
Participate in the entire product lifecycle for data, software products, and services that are broad in scope and complexity, applying a full understanding of software engineering methodologies and industry best practices for data products. Work with Industry Experts; Senior, Staff, and Principal Engineers, utilize specialized knowledge to develop, and maintain Intuits data solutions.
Responsibilities
70-85% hands-on development in all phases of the software life cycle. Rapidly fix bugs and solve problems. Code reviews and defect remediation. Clean, transform, and validate data for use in analytics and reporting. Monitor data quality and pipeline performance, troubleshoot, and resolve data issues. Collaborate effectively with senior engineers and architects to solve problems spanning their respective areas to deliver end-to-end quality in our technology and customer experience. Influence and communicate effectively. Design and develop ETL jobs across multiple big data platforms and tools including S3, EMR, Hive, Spark SQL, PySpark. Experience with Agile Development, Scrum, and/or Extreme Programming methodologies. Stay abreast of industry best practices, share learnings, and experiment with and apply cutting-edge technologies, including AI, to enhance software applications. Intuit offers a competitive compensation package with a strong pay-for-performance rewards approach. The expected base pay range for this position is: Bay Area California: $137,500 - $186,500 Southern California: $124,500 - $168,500 This position is eligible for a cash bonus, equity rewards, and benefits, in accordance with our plans and programs. Pay offered depends on factors such as job-related knowledge, skills, experience, and work location. Intuit conducts regular pay equity comparisons across ethnicity and gender categories to promote ongoing pay equity. Minimum Requirements
BS or MS in Computer Science, Data Engineering, or a related field. 2+ years of core development experience. Proficiency in Java (Spring & Spring Boot), Scala for Spark streaming & applications, or other JVM-based languages. Working knowledge of SQL, XML, JSON, YML, with strong Python and Linux skills. Knowledge of tools and frameworks such as Docker, Spark, Scala, Jupyter Notebook, Databricks Notebook, Kubernetes, Feature Management Platforms, SageMaker. Advanced scripting skills in Python or Shell. Strong understanding of software development methodologies and practices. Experience with cloud platforms like AWS, Azure, or GCP, including services like EC2, S3, and EMR. Expertise in Data Warehousing and analytic architecture. Experience working with large data volumes and data visualization. Experience with low-latency NoSQL datastores (e.g., DynamoDB, HBase, Cassandra, MongoDB) is a plus. Experience with stream-processing applications using Spark Streaming, Flink, etc., is a plus.
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70-85% hands-on development in all phases of the software life cycle. Rapidly fix bugs and solve problems. Code reviews and defect remediation. Clean, transform, and validate data for use in analytics and reporting. Monitor data quality and pipeline performance, troubleshoot, and resolve data issues. Collaborate effectively with senior engineers and architects to solve problems spanning their respective areas to deliver end-to-end quality in our technology and customer experience. Influence and communicate effectively. Design and develop ETL jobs across multiple big data platforms and tools including S3, EMR, Hive, Spark SQL, PySpark. Experience with Agile Development, Scrum, and/or Extreme Programming methodologies. Stay abreast of industry best practices, share learnings, and experiment with and apply cutting-edge technologies, including AI, to enhance software applications. Intuit offers a competitive compensation package with a strong pay-for-performance rewards approach. The expected base pay range for this position is: Bay Area California: $137,500 - $186,500 Southern California: $124,500 - $168,500 This position is eligible for a cash bonus, equity rewards, and benefits, in accordance with our plans and programs. Pay offered depends on factors such as job-related knowledge, skills, experience, and work location. Intuit conducts regular pay equity comparisons across ethnicity and gender categories to promote ongoing pay equity. Minimum Requirements
BS or MS in Computer Science, Data Engineering, or a related field. 2+ years of core development experience. Proficiency in Java (Spring & Spring Boot), Scala for Spark streaming & applications, or other JVM-based languages. Working knowledge of SQL, XML, JSON, YML, with strong Python and Linux skills. Knowledge of tools and frameworks such as Docker, Spark, Scala, Jupyter Notebook, Databricks Notebook, Kubernetes, Feature Management Platforms, SageMaker. Advanced scripting skills in Python or Shell. Strong understanding of software development methodologies and practices. Experience with cloud platforms like AWS, Azure, or GCP, including services like EC2, S3, and EMR. Expertise in Data Warehousing and analytic architecture. Experience working with large data volumes and data visualization. Experience with low-latency NoSQL datastores (e.g., DynamoDB, HBase, Cassandra, MongoDB) is a plus. Experience with stream-processing applications using Spark Streaming, Flink, etc., is a plus.
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