Senior Data Engineer - AWS

Remote

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Zest AI

Zest AI helps lenders make better credit decisions—increasing revenue, reducing risk, and automating compliance. We make fair credit available to everyone.

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In this role you will:

  • Design and implement robust end-to-end data pipelines
  • Architect, develop, and maintain enterprise data warehouse 
  • Create and manage data pipelines - sourcing data from databases, streaming data, various web APIs, etc.
  • Integrate data from data warehouse into 3rd party tools to make data actionable
  • Provide ongoing maintenance and enhancements to the data pipeline
  • Ensure data quality through automated testing
  • Collaborate with analysts, engineers and business users to design solutions
  • Research innovative technologies and make continuous improvements
  • Work with our Data Science, Product and Business Analytics teams to define requirements, design and build the next generation of our product roadmap features
  • Identify and evangelize programming best practices with the Data Engineering and Modeling teams
  • Work closely with Analysis to ensure quality & availability of data in the Data Warehouse along with support of our Business Intelligence platform

We are looking for:

  • Minimum 4 years as a Data Engineer designing, developing and maintaining enterprise-grade data warehouse solutions consisting of structured and unstructured data
  • Highly proficient with AWS: Redshift, EMR, Sagemaker, S3. Certification recommended “AWS Certified Data Analytics - Specialty”
  • Experience with Apache Spark. Kafka will be a plus.
  • Proficiency with building and deploying  ETL / Data Preparation tools
  • Knowledge of modern data warehouse solutions such as Snowflake. Certification recommended : “SnowPro Advanced Data Engineer”.
  • Good understanding of database architecture and best practices
  • Understanding of data science and machine learning technologies a plus
  • Knowledge of Python, Java or other modern languages

Location

Anywhere in the US, available during PST working hours.

 

Perks and benefits

All Zestians experience:

  • The opportunity to join a mission-focused company
  • People – the best part of Zest
  • Robust health and dental insurance plans
  • annual bonus
  • 401(k) with generous, fully vested, company match
  • 11 company holidays
  • winter break (office closed between Christmas and New Year's Day)
  • unlimited vacation time
  • Generous family leave policy (12 week maternity leave / 6 week paternity leave)
  • Tuition reimbursement, conference allowance, and Zest talks

Additionally, our Burbank, CA area, hybrid model (typically 2 days/week) Zestians enjoy:

  • Beautiful, modern, dog-friendly office with lounge areas, video games, and gigantic jigsaw puzzles
  • Daily catered lunches from LA’s best restaurants and a fully stocked kitchen
  • Complimentary manicures, pedicures, and mindfulness sessions
  • Company happy hours, social events, outings, and much more!
About Zest AI:   Zest AI has been perfecting AI for consumer lending decisions since 2009. Our Model Management System helps lenders make better decisions and better loans—increasing revenue, reducing risk, and automating compliance. Our mission is to make fair and transparent credit available to everyone and our software creates some of the most inclusive risk models in the industry. Using Zest-built machine learning software, financial institutions can dramatically expand credit access to deserving people with no added risk. Learn more at Zest.ai and connect with us on Twitter @Zest_AI or our Insights blog.   Zest is committed to diversity, equity, and inclusion and encourages professionals from underrepresented groups in technology and financial services to apply.   By submitting this application, I acknowledge and confirm that I have reviewed the Employment Privacy Policy and agree to the use of my information as set forth in the Policy.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs Architecture AWS Business Analytics Business Intelligence Data Analytics Data pipelines Data quality Data warehouse Engineering ETL Kafka Machine Learning Pipelines Privacy Python Redshift Research SageMaker Snowflake Spark Streaming Testing Unstructured data

Perks/benefits: 401(k) matching Career development Health care Lunch / meals Parental leave Pet friendly Salary bonus Snacks / Drinks Team events Unlimited paid time off

Region: Remote/Anywhere
Job stats:  8  0  0
Category: Engineering Jobs

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