Note: The job is a remote job and is open to candidates in USA. JerseySTEM seeks an experienced Senior Data Engineer to stabilize and scale the data pipelines that support its analytics and reporting. The role owns production-grade workflows across multiple data sources, with a focus on reliability, data modeling, security, and long-term platform sustainability.
Responsibilities
- Pipeline Engineering: Designing, configuring, and monitoring production grade ETL/ELT pipelines to ingest unstructured and structured data from third party data sources into our MySQL operational data warehouse using integrate.io, Google Apps Script/JavaScript
- Security & Access Governance: Defining and auditing data access permissions, ensuring security guardrails are maintained as user access privileges rotate
- API Management: Writing and debugging custom scripts and database queries to interact with native platform APIs
- Data Mapping & Classification: Normalizing and mapping complex, disparate schemas from Salesforce CRM, iCIMS talent data, and Jira ticketing systems, and others. Design and maintain analytical models including fact and dimension tables
- Operational Resilience:Manage schema changes, late arriving data, and source inconsistencies. Ensure data quality, consistency
- Provide technical leadership and define data integration best practices and standards
Skills
- FIVE or more years of hands on experience in data engineering or data platform roles
- Google Apps Script/JavaScript, Integrate.io or similar ETL platforms, mySQL, Python
- Proven experience integrating external APIs and third party systems
- Deep understanding of dimensional modeling and warehouse architecture
Benefits
- Approximately six flexible hours per week
- Remote work
Company Overview