Staff Data Engineer - Quickbooks Capital...

Intuit Inc.
Mountain View, United States of America
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 274K

Job location

Mountain View, United States of America

Tech stack

Agile Methodologies
Amazon Web Services (AWS)
Big Data
Information Engineering
ETL
Data Warehousing
Elasticsearch
Python
Scrum
QuickBooks (Software)
Software Engineering
SQL Databases
Spark
PySpark
Information Technology
Extreme Programming (XP)
Kafka
Codebase
Databricks

Job description

  • Understand functional requirements, develop technical designs and specifications, code and test.

  • You will be required to size work of medium to large complexity and manage timelines and deliveries.

  • Designing/developing software using data engineering technologies.

  • You will be spending 90% hands-on designing, coding, testing and supporting production systems (on-call).

  • Resolve defects/bugs during testing, pre-production, production, and post-release patches.

  • Work cross-functionally with various Intuit teams: product management, other engineering teams and business units to drive forward results.

  • Agile Development, SCRUM, or Extreme Programming methodologies.

  • Data modeling, data warehousing, and building ETL pipelines.

  • Production support via quarterly on-call rotations to monitor production systems and resolve production errors & incidents.

Requirements

Come join the QuickBooks Capital and Lending Platform as a Staff Software Engineer in Data. You will join an innovative and passionate team of engineers using cutting edge technologies like Python, PySpark, Spark, SQL, Data Bricks, Big Data fundamentals, AWS, Elastic Search, Kafka, to build enterprise scale data engineering pipelines and features for our QuickBooks Capital customers. We are looking for an engineer with a background in data engineering and experience working in a data engineering team for 7+ years., + BS/MS in computer science or equivalent work experience

  • 7+ years' experience developing data engineering pipeline using technologies like Python, PySpark, Spark, SQL, DataBricks, AWS, Elastic Search, Kafka

  • 7+ year's experience working on BigData technologies.

  • Extensive experience with Python and Spark

  • Proven ability to understand a large existing codebase.

  • Experience with the entire Software Development Life Cycle (SDLC).

  • Demonstrated experience building and supporting large scale enterprise data engineering pipelines and featurization

Benefits & conditions

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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 (https://www.intuit.com/careers/benefits/full-time-employees/) ). 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: $202,500 - $274,000.

The expected base pay range for this position is:

Mountain View $202,500 - $274,000

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

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