Software Engineer 1

Intuit

United States · Full-time · Entry

Overview

Come join the Data Engineering Team as a Software Engineer I. 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 Intuit’s data solutions.

Responsibilities

90% 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
Collaborates 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.
Influences and communicates effectively
Designing/developing ETL jobs across multiple big data platforms and tools including S3, EMR, Hive, Spark SQL, PYSpark.
Experience with Agile Development, SRUM, and/or Extreme Programming methodologies
Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies while proactively identifying opportunities to enhance software applications with AI technology.

Qualifications

BS or MS in Computer Science, Data Engineering or related fiel
1+ years of core development experience
Proficiency in developing Software for Java (Spring & Springboot), Scala for spark streaming & spark applications, or other JVM based languages.
Working Knowledge of SQL, XML, JSON, YML, very strong Python and Linux
Knowledgeable with tools and frameworks Docker, Spark, Scala, Jupiter Notebook, Databricks Notebook, Kubernetes, Feature Management Platforms, SageMaker
Advanced experience with scripting language – Python or Shell is a must have
Strong knowledge of software development methodologies and practices
Experience with cloud platforms such as AWS, Azure or GCP - Amazon web services: EC2, S3, and EMR (Elastic Map Reduce) or equivalent cloud computing approaches
Strong expertise in Data Warehousing and analytic architecture
Experience working with large data volumes, data visualization
Experience with low-latency NoSQL datastores (such as DynamoDB, HBase, Cassandra, MongoDB) is a plus
Experience with building stream-processing applications using Spark Streaming, Flink, etc. is a plus

Additional

Exposure to unit testing frameworks
Ability to research and integrate 3rd party solutions
Evolving a mature code base into new technologies

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Key Skills

Ranked by relevance

spark big data cloud python scala sql aws s3 data warehousing kubernetes cassandra dynamodb docker nosql linux hbase java xml gcp etl jvm ai

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