Data Engineer

Green Check Verified
$100k - $120k

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Job Description

Data Engineer


Green Check is a fintech company that connects financial institutions to the legal cannabis industry. Our web-scale platform serves cannabis business owners, along with banks and credit unions, to help them overcome the challenge of establishing reliable, long term financial partnerships. Green Check automates regulatory activities, modernizing the information flow and processes that keep high-risk businesses compliant with all federal, state, and local regulations. We’re passionate about building strong, lasting relationships between these two highly regulated industries.

Our product roadmap involves building a complex regulatory compliance engine, progressive web applications, REST APIs with generated SDKs, big data analytics, and machine learning.


We are looking for a Data Engineer to join our growing team. If you are passionate about all things data (ETL, data architecture and modeling, data analytics, data visualization) and would enjoy developing innovative data strategies and insights in the rapidly evolving legal cannabis space, then we want to talk to you! Send us a message with a copy of your resume and anything that will help us learn more about you and your goals (your blog, GitHub repo, apps, etc). We offer a generous benefits package, continuing education while maintaining a distributed workforce.


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


  • You are a data engineer with four or more years of experience.
  • You have an expert understanding of data including ETL, data pipelines, streams, data architecture and modeling, data mining and overall data architecture.
  • You are an expert with T-SQL and worked with relational DBMS and NoSQL data stores.
  • You have working knowledge of programming languages including javascript/typescript, Python and R.
  • You have specific experience building data visualizations using third party software (Tableau, Domo, Looker, etc)
  • You maintain the ability to support software engineers on data initiatives.
  • You have experience working within the AWS technology stack
  • You have experience working with metadata and data lineage frameworks.
  • You are eager to learn and apply new technologies including ML and AI.


  • Work with the System Architects to continue to build out data infrastructure.
  • Identify and consume first, second and third party data sets.
  • Standardize and enrich data sets within the DBMS for corporate consumption.
  • Develop, nurture and enhance data model(s) as more data becomes available.
  • Construct aggregated data sets from base data.
  • Work with multiple groups within the organization for data requests.
  • Organize and deliver data trends to senior leadership.


  • Full-time
  • Required work authorization: United States


  • Data Engineer role: 4+ years
  • Experience designing, building and maintaining data processing systems.
  • Fluent in structured and unstructured data, its management and modern data transformation methodologies.
  • Experience creating logical and physical data models and documenting ERD.
  • Working with Analytics including reporting functionality: 2+ years

Screening Questions:

  • How many years of Data Engineering experience do you have?
  • How many years of data reporting/analysis experience?
  • Are you well versed in overall data structures and data normalization?
  • Are you willing to undergo a background check, in accordance with local law/regulations?

Job Type: Full-time

Pay: $100,000.00 - $120,000.00 per year


  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance


  • 8 hour shift
  • Monday to Friday


  • Informatica: 1 year (Preferred)
  • SQL: 3 years (Preferred)
  • Data warehouse: 1 year (Preferred)

Work Location: Remote

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