Cloud Data Engineer - Looker

The Cloud Data Engineer role is key to accomplishing Data Clymer’s mission: Enable every organization to build a culture around data. This exciting role allows you to become an expert in multiple technologies related to data to a customers data stack (CDW, BI, ETL). This gives you experience implementing data improvements for varied industries and use cases. The position allows you to teach others to be self-sufficient and enables you to grow your skills while getting paid to do it.

The Cloud Data Engineer is motivated to work for a growing company where your day-to-day actions have an impact on how the company operates and the overall success of the company. Several key components of the role include: coding, adaptability, taking ownership, having strong self management skills, focused communication with internal and external teams, delivering on commitments, and being a team player who cares about their fellow team members succeeding as much as their own success.

Our Culture & Benefits at Data Clymer:

We celebrate diversity, embrace a data-driven culture, and deeply encourage professional development through classes, certifications and conferences. The reciprocity of sharing knowledge and growth with each other, our clients, and partners is a foundation we live by. Employees at Data Clymer enjoy unlimited paid time off, 11 paid holidays, comprehensive health, vision and dental benefits, a 4% match on your 401k, and profit sharing. You will be able to work fully remote from anywhere in the US.

Key areas include but not limited to:

  • People – Developing impactful relationships with the client and your co-workers
  • Projects – Executing on project SOW within scope, on-time, and on-budget
  • Profits – Ensuing Data Clymer’s revenue goals are obtained

What you do:

  • Contribute to Data Clymer to become the premier data consulting firm
  • Provide feedback to the management team to set policies on how Data Clymer operates
  • Build trust with our customers and drive long-lasting relationships
  • Conduct technical discussions with client stakeholders
  • Writing SQL for both data engineering and analytics purposes
  • Define and create metrics / KPIs
  • Design and build reports / dashboards using visualization best practices
  • Build “trust” dashboards showing system status
  • Build and maintain alerts to help clients stay informed when certain metric thresholds have been achieved or issues arise
  • Hold trainings for the client and stakeholders
  • Write clean, smart code that will scale
  • Design and implement analytical data models
  • Develop analytics through BI tools using Looker, Tableau, and Sigma
  • Performing Data analysis to answer key business questions
  • Working with client teams to help create a data driven culture
  • Devising the best solution based on requirements and your experience
  • Auditing data and investing issues through resolution
  • Gathering and documenting requirements
  • General data wrangling with SQL, Python
  • Research and implement technical solutions for client projects
  • Interface and communicate with clients directly on a daily basis


  • A People first mentality. Both clients and our team members.
  • High energy and action-oriented with a history of getting things done in complex, fast- moving environments. 
  • Strong interpersonal skills and ability to gain alignment across people at various levels and functions
  • Results orientation with a strong work ethic and self-management skills
  • Ability to identify issues and opportunities within the company and help drive them
  • Strong SQL skills and proficient with Python
  • Desire to work with customers
  • Two years of experience in data or analytics or equivalent degree
  • Ability to manage multiple projects simultaneously

Nice experience to have:

  • Looker Development: coding LookML, setting up Explores, Reports, and Dashboards
  • Data analytics and visualization best practices
  • Experience with Matillion, Fivetran, or DBT
  • Data Engineering
  • Data Warehousing (Snowflake, Redshift, Big Query, Azure)
  • Data science / machine learning concepts
  • Certifications in data technologies


  • Profit Sharing Program.
  • Health / Dental / Vision / Life Insurance.
  • Paid Family Leave.
  • 401(K) with match.  
  • Employee Bonus Programs.
  • Paid Time Off / Sick Time.
  • Employee Referral Program.
  • Professional Development.
  • Defined Career Paths
  • 100% Remote.
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