Data Engineer at Verifiable

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Verifiable

Data Engineer

Remote

Full Time

#Engineering

#Python

#SQL

#DBT

#Data Modeling

#Data Visualization

Verifiable is looking for a Data Engineer

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At Verifiable, our mission is to transform how healthcare organizations handle credentialing and network monitoring. We have built a platform that streamlines operations, ensuring verifications are both rapid and error-free while simplifying compliance. As an official Salesforce vendor and a recipient of the 2024 Salesforce Partner Innovation Award, we are proud to support industry leaders like Humana Dental, Zelis, and Headway. Having grown to over 100 employees and secured $47 million in total funding, we are dedicated to building a data-driven culture that empowers our clients to provide better care.

The role

We are looking for a Senior Data Engineer to join our team in a full-time capacity. This is a remote position open to candidates residing in AZ, CA, CO, FL, GA, ID, IL, KY, MD, MI, NJ, NM, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, or WA. We need someone who is comfortable wearing multiple hats in a fast-paced startup environment and is eager to design and maintain high-availability data systems that drive our business forward.

Core responsibilities

  • Build and maintain scalable data pipelines that move information from production systems into reports and applications used by our customers.
  • Analyze complex data sets to identify trends and patterns, then translate those insights into actionable recommendations for our stakeholders.
  • Collaborate across teams to develop predictive models and algorithms that integrate directly into our core business strategies.

Skills and experience

To be successful in this role, you should bring a strong technical foundation and a collaborative spirit. We are looking for the following qualifications:

  • At least 5 years of experience in a relevant engineering or analytical role.
  • At least 2 years of professional experience with Python and SQL.
  • At least 2 years of hands-on experience with DBT and data modeling.
  • At least 2 years of experience creating data visualizations to communicate insights.
  • A proven ability to train or fine-tune large data sets.
  • Strong critical thinking skills, high attention to detail, and the ability to work humbly and collaboratively within a growing team.

Compensation and benefits

We believe in supporting our team members both inside and outside of the office. Our benefits package includes:

  • Comprehensive medical, vision, and dental insurance.
  • Unlimited vacation policy to ensure you have time to recharge.
  • Startup equity as part of your total compensation package.
  • New Apple equipment to support your remote work setup.
  • The flexibility of a fully distributed, remote work environment.

How to apply

If you are passionate about data engineering and want to help us build the future of healthcare credentialing, we would love to hear from you. Please submit your application, and be prepared to discuss your experience with data architecture and your approach to solving complex analytical problems.

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