Job Opportunities API

Data Engineer Location: Boston, MA Open to Remote in EST or CST Locations About Us Clasp is a venture-backed, mission-driven startup transforming access to education and career pathways. We are revolutionizing the way employers attract and retain critical talent, while simultaneously tackling the student debt crisis. (Yep, we think BIG.) Our innovative platform meaningfully connects employers, educational institutions, and diverse talent to drive mutual benefit—using accessible education financing as the thread. We like to think of ourselves as more than a fintech; we’re a catalyst for economic mobility. A Forbes Fintech 50 company, portfolio company of SHRM (Society of Human Resource Management — the largest HR organization out there!) and recipient of “Startup of the Year” by StartUp Boston, Clasp is driven by our commitment to social impact and innovation. We are reshaping the future of the workforce one opportunity at a time. Join us on our journey to give power to learners and unlock fulfilling careers that drive positive change in their communities and beyond. The Role – Data Engineer We are seeking a Data Engineer to build & operate reliable data pipelines that ingest and make accessible to our team and partners the data on hundreds of millions of dollars worth of student loans, educational enrollment statuses and employment data. The ideal candidate has both strong programming experience in python and is passionate about both high performance data pipelines as well as the analytics that they fuel. At Clasp we run a DevOps culture where the engineers have full ownership of the code they write & the infrastructure on which it runs. Candidates should be enthused about making substantial contributions to the architecture driving the product roadmap and the Stride business, and achieving tremendous personal growth with us along the way! Our modern Data Technology Stack consists primarily of Airflow, dbt, Postgresql, Superset, BigQuery, Python and SQL Key Responsibilities DATA PIPELINE DEVELOPMENT & RELIABILITY - Build and maintain scalable data pipelines that ingest and transform financial, education, and employment data - Ensure data is reliable, timely, and accessible across internal teams and external partners - Proactively identify and resolve data quality issues, including upstream dependencies - Partner with stakeholders in finance, operations and business development departments to ensure that their data sets are reliably ingested into our data warehouse and their questions or reports can be answered programmatically - Ensure via automated testing and edge case handling that we can detect any errors with upstream data or data processing and that all reports contain the data as expected - Develop processes to anonymize and protect sensitive data across environments CLOUD INFRASTRUCTURE & DATA PLATFORM OPERATIONS - Support the configuration and optimization of data warehouse, storage, and compute resources - Partner in managing infrastructure as code (e.g., Terraform) to ensure reproducibility and scalability - Monitor performance and cost efficiency of data workloads, identifying opportunities for optimization - Contribute to improving the reliability, scalability, and observability of our data platform Who You Are - 3+ years of experience as a data engineer, or equivalent experience building data pipelines - 2+ years of experience with elements of the following technologies: - Data Analytics: Airflow, DBT - Business Intelligence Systems: Tableau, Looker, Sisense, Apache Superset, etc. - Languages: Python, SQL - Databases: SQL; NoSQL a bonus - Bonus – Data Warehousing: Snowflake, BigQuery, etc. - Bonus -- Cloud Infrastructure: AWS or Google Cloud Experience - Bonus -- DevOps: Experience with modern cloud and container tooling such as Docker, Kubernetes, Terraform, etc. - Strong communication and collaboration skills, with the ability to effective