Intuit - New York, NY

posted 2 months ago

Full-time - Mid Level
New York, NY
10,001+ employees
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

As a Senior Manager of Software Engineering at Intuit, you will play a pivotal role in leveraging big data technology to support small businesses and consumers globally. Intuit is recognized as a global leader in financial software solutions, with a customer base of approximately 100 million utilizing products like TurboTax, Credit Karma, QuickBooks, and Mailchimp. The company's success is heavily reliant on the quality of its data and the ability to curate, combine, protect, and analyze this data effectively. Your contributions will be essential in enhancing the risk and fraud mitigation capabilities within the organization, particularly in the New York City office. In this role, you will manage a team of big data engineers tasked with building both batch and real-time data pipelines focused on risk and fraud detection. You will collaborate closely with product managers, fraud analysts, data scientists, and software developers from various locations to gather data requirements from internal customers and translate these needs into a functional big data platform. Your expertise in big data engineering, particularly in a cloud environment, will be crucial as you develop data-centric software using cutting-edge technologies. You will also have the opportunity to influence software architecture and establish best practices for building data, analytics, and data science environments. Your responsibilities will include participating in design and code reviews, managing your own time effectively, and serving as the primary resource for understanding data exploration, pipelines, and analytics. This position requires a hands-on approach and a passion for data, as well as the ability to learn quickly and adapt to new challenges.

Responsibilities

  • Manage a group of big data engineers in building batch and real-time pipelines around risk and fraud.
  • Work closely with product managers, fraud analysts, data scientists, and software developers from around the world.
  • Gather data needs from internal customers like product and analysts, and translate those requirements into a working big data platform.
  • Develop data-centric software using leading-edge big data technologies.
  • Collaborate with colleagues both locally and in remote locations.
  • Influence the software architecture and working procedures for building data, analytics, and data science environments.
  • Participate in design and code reviews.
  • Manage your own time, and work both independently and as part of a team.
  • Be the go-to person for anything and everything regarding understanding the data - exploration, pipelines, analytics, etc.

Requirements

  • At least two years experience in managing development projects and software professionals, particularly in the big data area.
  • Strong communication skills.
  • Deep hands-on knowledge in big data engineering in a cloud environment, including excellent knowledge of SQL in a large scale data warehouse or data lakehouse environment such as Spark, Databricks, Presto/Athena/Trino.
  • Experience working in cloud environment, preferably AWS using tools such as EMR/Spark, Kafka, Databricks, S3, EC2.
  • Strong knowledge of database / dimensional modeling / data integration tools.
  • Experience writing scripts with languages like Python, and shell scripts in a Linux environment.
  • Can-do attitude, hands-on approach, passionate about data.
  • Experience in defining big data architecture.
  • Bachelor's degree in Information Systems, Industrial Engineering or Computer Science; equivalent experience will be considered.
  • Experience dealing directly with internal customers regarding their data needs.
  • Ability to learn quickly and be productive in a short period of time.
  • Experience with risk/fraud/cyber systems.
  • Experience working in a multi-national high-tech environment.
  • Some knowledge of Data Science/Machine Learning.
  • Knowledge/Experience with Scala, Java.
  • Some experience with stream processing or near real-time data ingestion.
  • Some knowledge of graph databases.
  • Exceptional sense of humor.

Nice-to-haves

  • Experience with risk/fraud/cyber systems.
  • Some knowledge of Data Science/Machine Learning.
  • Knowledge/Experience with Scala, Java.
  • Some experience with stream processing or near real-time data ingestion.
  • Some knowledge of graph databases.
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