Staff Data Engineer - Quickbooks Capital and Lending

Intuit

Mountain View (CA)

On-site

USD 202,500 - 274,000

Full time

14 days+

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Job summary

Intuit in Mountain View is seeking a Staff Software Engineer in Data to join the QuickBooks Capital and Lending Platform. You will design and build enterprise-scale data pipelines using Python, PySpark, Spark, SQL, DataBricks, AWS, and Kafka, working primarily hands-on.

Ideal candidates have 7+ years in data engineering, experience with large codebases, SDLC, and cross-functional collaboration. This role emphasizes on-call production support and delivering scalable data solutions for capital

Qualifications

  • 7+ years’ experience building data engineering pipelines.
  • Experience with Python, PySpark, Spark, SQL, DataBricks, AWS, Elasticsearch, Kafka.
  • Experience with Big Data technologies.
  • Proven ability to understand large codebases.
  • SDLC experience and production support expertise.

Responsibilities

  • Understand requirements, design technical solutions, code and test.
  • Size work and manage timelines for medium to large tasks.
  • Design/develop software using data engineering tech.
  • Spend ~90% hands-on designing, coding, testing, and supporting production systems.

Skills

Data engineering
Python
PySpark
Spark
SQL
DataBricks
AWS
Elasticsearch
Kafka
Codebase understanding

Education

BS/MS in computer science or equivalent

Tools

Python tooling
Spark tooling
Data pipelines tooling
Cloud services

Job description

Overview

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.

Responsibilities
  • 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.
Qualifications
  • 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
Footer

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). 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

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