Data Engineer

• As a Data Engineer at theGuarantors, you will play a vital role in the development, deployment and maintenance of our data infrastructure.
• You will work within our data engineering team to build, optimize, and maintain data pipelines, ensuring the availability and reliability of data for analytical and business purposes.
• You will help to execute on processes that leverage intelligence capabilities through advanced analysis of data sets, and that bring data and insights closer to the end user.
• This is an excellent opportunity for someone who is enthusiastic about data and eager to learn and grow in the field of data engineering
• Data Ingestion and ETL/ELT: Assist in designing and implementing data pipelines to collect, ingest, and transform data from various sources into a structured format
• Data Quality: Collaborate with the team to monitor and maintain data quality standards, perform data validation, and resolve data quality issues
• Data Warehousing: Assist in the design and maintenance of data warehousing solutions to store and manage large volumes of data efficiently
• Automation and Orchestration: Work on automating routine data engineering tasks to improve efficiency and reliability
• Data Apps: Develop and maintain lightweight data applications for ML interfaces, simple CRUD operations, and quick interactive analysis
• Performance Optimization: Identify and implement optimizations to all parts of the data stack to improve data pipeline performance and reduce processing times
• Documentation: Create and maintain documentation for data pipelines, processes, and data flows
• Collaboration: Collaborate with cross-functional teams including data analysts, data scientists, and business stakeholders to understand data requirements and deliver data solutions
• Continuous Learning: Stay up to date with industry best practices and emerging technologies in data engineering
• Modeling Support: Curate and maintain data sets and pipelines that are crucial to core operational data models, to our feature store and to other AI/ML workflows

Benefits

• Remote work: All our roles are 100% remote which allows the flexibility for our employees as we navigate the recent changes to our work environments.
• Opportunities to make an impact within a fast growing company
• Medical, Dental, & Vision insurance (beginning day one)
• 401(k)
• Competitive salary
• Generous PTO and paid holidays

• Strong communication and teamwork skills
• Excellent problem-solving skills and attention to detail
• Eagerness to learn and adapt to new technologies and tools
• Ability to work in a fast-paced, collaborative environment
• Knowledge of data warehousing concepts and technologies (e.g., Snowflake, AWS Redshift, Google BigQuery, etc)
• Experience with AI-integrated development (tools such as Cursor, Claude Code, Github Copilot or similar)
• Bachelor’s degree in Computer Science, Information Technology, or a related field
• Demonstrated application of SQL and Python scripting skills
• Proficiency in using data integration and ETL tools (e.g., Stitch/Talend, Airbyte, Fivetran, etc)
• Basic understanding of data modeling concepts
• Master’s degree in Computer Science, Information Technology, or a related field
• 1+ years of experience working for a small- to medium-sized technology company as a data engineer or similar role
• Familiarity with data governance and security best practices
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud
• Knowledge of data orchestration and workflow management tools (e.g., Dagster, Airflow)
• Previous internship or coursework related to data engineering