Cloud Data Engineer (Looker)

Remote
Full Time
Mid Level

SpringML’s mission is to help customers accelerate time to derive insight and make an impact using data. We offer applications and services that solve key business problems for data-intensive industries. We have successfully helped over 100 customers with their AI journey, including many of the Fortune 1000. Our Channel partners are Salesforce and Google. We are a tight-knit, friendly team of passionate and driven people who are dedicated to learning, get excited to solve tough problems and like seeing results, fast.

At SpringML, we are all about empowering the 'doers' in companies to make smarter decisions with their data. We are a tight-knit, friendly team of passionate and driven people who are dedicated to learning, get excited to solve tough problems, and like seeing results, fast.

Our core values include placing our customers first, empathy and transparency, and innovation. We are a team with a focus on individual responsibility, rapid personal growth, and execution. If you share similar traits, we want you on our team.

SpringML is seeking a Cloud Data Engineer with Looker experience for employment with SpringML.

This role is open to candidates in the United States and Canada only. This is a remote role with the potential for some minor travel in the future.

Responsibilities:

  • Design and implement data pipelines utilizing Dataflow, Composer, Cloud Run, etc. with data landing in datasinks such as Big Query
  • Work closely with clients to ensure their business needs and requirements are fulfilled
  • Support Dialogflow implementation, Application, and API development to support end-to-end solutions using Google Cloud components like AppEngine, Apigee, etc.
  • Strong interpersonal skills and ability to gain alignment across people at various levels and functions
  • Ability to identify issues and opportunities within the company and help drive them

Required Qualifications:

  • Minimum of 2 years of professional experience with Looker, preferably in one or more of the following areas: coding LookML and/or setting up Explores, Reports, and Dashboards
  • Minimum of 2 years of professional experience in data engineering
  • Minimum of 2 years in professional experience in Google Cloud

Preferred Qualifications:

  • Minimum of 2 years of professional experience in Python
  • Data analytics and visualization best practices
  • Experience with Matillion, Fivetran, or DBT
  • Data Warehousing (Snowflake, Redshift, Big Query, Azure)
  • Data science/machine learning concepts
  • Certifications in data technologies

In order to comply with OFCCP compliance regulations, the target salary for this position could be anywhere between $50,000 - $150,000 based on location, seniority, market rate, or other similar factors.

 

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