Data Engineer

Technology Enterprise & Integrations United States -Remote Full-time

Job Overview

HI, WE’RE HATHWAY!
Hathway is a digital growth partner for the restaurant and convenience store industries, helping brands like Wingstop, Dash In, and Panda Express build world-class digital experiences. Our proprietary technology accelerator, NomNom™, powers custom digital ordering, loyalty apps, and websites that fuel more than $2 billion in sales and over 160 million digital transactions per year.
We’re growing fast and are looking for passionate, hard working people to join our team. We’ve got offices on the central coast of California and in Dallas, but we’re a remote workplace with staff throughout the US. If you’re looking for a fast-paced, dynamic work environment, Hathway just might be the right place for you.
Hathway is looking for a Data Engineer to join the Enterprise Integrations technical team. This role will be responsible for client/account specific technical implementation and support of all data needs. 

WHAT YOU'LL DO HERE

  • Provide project oversight to ensure team approach is correct, providing feedback on how to improve
  • Analyze, query and manipulate data according to defined business rules and procedures
  • Build event-driven ETL (extract, transform, and load) pipelines; monitor ETL scheduled jobs and respond to failure or issue alerts
  • Create a unified catalog to find data across multiple data stores
  • Assist in software development lifecycle and DevOps practices to facilitate ETL and Data processing processes
  • Collaborate across teams to uncover pain points and formulate ways to accelerate delivery
  • Translate business/user requirements into technical requirements, and apply creative problem solving that bring requirements to fruition for multiple teams
  • Research, design, build, optimize, and maintain reliable, efficient and accessible data systems, data pipelines, machine learning pipelines, and/or models
  • Implement data orchestration pipelines, data sourcing, cleansing, augmentation and quality control processes within supported data systems and influence changes within connected data systems
  • Develop and execute routine data cleanup and maintenance measures to preserve data quality

YOUR BACKGROUND

  • Bachelor’s Degree in Business, Communications,Technology, Marketing, Math or related field or equivalent experience
  • 4+ years related work experience
  • Expert in Python, SQL, Glue, Redshift, and lambda to build ongoing ETL pipelines
  • Knowledge of data security/networking basics, as well as S3, Kinesis, Glue, RDS, Lambda, and Step Functions
  • Experience implementing & managing AWS resources is a plus
  • Experience extracting data from various API end points (JSON, XML formats)
  • Kafka, queue/messaging paradigms knowledge; Redshift, Athena, and Snowflake a plus
  • Experience participating in test-driven development (TDD) practices desired
  • Strong ability to communicate verbally and written with internal and external clients maintaining strong relationships
  • Detail-oriented with exceptional organizational skills and the ability to prioritize, monitor, and manage personal workload and multiple projects / clients
  • Ability to quickly adjust to shifting priorities and strong trouble-shooting skills; adaptable and solution-focused
  • Willingness to be on call for any QA support outside of business hours

  • #LI-Remote 

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