Green Check Verified Inc. Data Engineer Remote · Full time

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WHO WE ARE

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.

READY TO JOIN US?

We're searching for a driven Data Engineer with a strong aptitude for AI/ML to spearhead the development of our predictive analytics capabilities. If you are passionate about all things data (ETL, data architecture and modeling, data and predictive 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'RE DEDICATED TO DIVERSITY

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.  

WHO YOU ARE

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Proven experience with data engineering tools and technologies (e.g., SQL, Python/JavaScript/R, Hadoop/Spark, AWS Cloud Platform).
• Strong understanding of data warehousing principles, data modeling, and ETL processes.
• Expert with SQL, including knowledge of advanced query optimization techniques, and have worked with both relational DBMS and NoSQL data stores.
• Working knowledge of machine learning frameworks such as TensorFlow, scikit-learn, or PyTorch.
• Specific experience building data visualizations using third party software (Tableau, Power BI, QuickSight, etc).
• Experience working with metadata and data lineage frameworks.
• Excellent communication and collaboration skills, strong problem solving and analytical skills, and a passion for using data to solve business problems.

WHAT YOU WILL DO

• Design, implement, and scale robust data pipelines to collect, process, and store data from a variety of sources leveraging AWS, Apache Spark, and other big data technologies.
• Develop and maintain efficient data models and schemas to support predictive analytics and machine learning applications.
• Conduct exploratory data analysis to understand patterns and potential predictors. Preprocess data, handle missing values, and engineer features suitable for machine learning.
• Research, select, and implement predictive modeling techniques (e.g., linear/logistic regression, decision trees, time series forecasting). Evaluate model performance, iterate, and optimize.
• Implement data quality checks, validation processes, and governance frameworks to ensure the integrity, accuracy, and security of data assets.
• Collaborate with multiple groups within the organization for data requests.
• Translate predictive analytics results into actionable insights. Develop dashboards or visualizations to communicate findings to stakeholders.
• Stay up-to-date on emerging data engineering and ML trends. 

JOB TYPE

• Full-time
• Required work authorization: United States