This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer - ETL | Data Integration based in United States.
This is a hands-on data engineering opportunity focused on stabilizing and scaling production-grade data pipelines that support analytics and reporting.
You will take ownership of complex integrations spanning multiple structured and unstructured data sources and operational systems.
The role combines ETL/ELT engineering, API integration, data modeling, data quality, and platform reliability.
You will design efficient incremental and change-data-capture workflows while ensuring data remains accurate, secure, and analytics-ready.
Working independently, you will help establish scalable data integration standards and improve the long-term sustainability of the platform.
Your work will directly enable analytics teams to spend more time generating insights and less time resolving data issues.
This is a pro-bono volunteer role requiring a minimum six-month commitment of approximately six flexible hours per week.
Accountabilities
- Design, configure, monitor, and maintain production-grade ETL/ELT pipelines that ingest structured and unstructured data from third-party sources into a MySQL operational data warehouse using integrate.io.
- Implement change data capture (CDC) and incremental loading strategies to support efficient, reliable, and predictable data refreshes.
- Integrate external APIs and third-party systems, including developing and debugging custom scripts and database queries for native platform APIs.
- Normalize, map, and classify complex and disparate data schemas from systems such as Salesforce CRM, iCIMS, Jira, and other business platforms.
- Design, implement, and maintain analytical data models, including fact and dimension tables, to support reliable reporting and analytics.
- Manage schema changes, late-arriving data, source inconsistencies, and other pipeline challenges while maintaining data quality and consistency.
- Define and audit data access permissions and help ensure appropriate security guardrails remain in place as user access privileges change.
- Monitor pipeline performance and proactively identify and resolve reliability, data quality, and integration issues.
- Take end-to-end ownership of assigned data pipelines, from design and implementation through monitoring, troubleshooting, and continuous improvement.
- Provide technical leadership and establish data integration best practices, engineering standards, and sustainable development patterns.
- Build resilient workflows that minimize manual intervention and provide analytics teams with trusted, analytics-ready data.
- Contribute to the long-term scalability, operational resilience, and maintainability of the data platform.
Requirements
- Five or more years of hands-on experience in data engineering, data platforms, or a closely related technical field.
- Strong experience working with MySQL in analytical, data warehouse, or hybrid environments.
- Proven experience integrating external APIs and third-party business systems.
- Demonstrated experience implementing CDC, incremental loading, or comparable data synchronization patterns.
- Deep understanding of dimensional modeling, data warehouse architecture, and analytical data structures.
- Advanced SQL skills and strong proficiency in Python or a comparable programming language.
- Experience designing and maintaining production-grade ETL/ELT pipelines and data integration workflows.
- Strong understanding of data quality, schema management, source inconsistencies, and operational resilience.
- Ability to work independently, make sound technical decisions, and take full ownership of data pipelines from end to end.
- Strong problem-solving and troubleshooting capabilities with an emphasis on durable solutions rather than one-off fixes.
- Ability to establish technical standards, communicate best practices, and provide technical leadership in a collaborative environment.
- Comfortable working in a hands-on engineering role rather than a purely advisory or oversight position.
Benefits
- Pro-bono volunteer position with no salary or monetary compensation.
- Flexible commitment of approximately six hours per week.
- Minimum six-month membership commitment, providing an opportunity to contribute to a mission-driven STEM organization.
- Opportunity to apply advanced data engineering skills to meaningful technology and analytics initiatives.
- Hands-on ownership of production data pipelines, integrations, data models, and platform reliability.
- Opportunity to establish engineering standards and influence the long-term sustainability of a data platform.
- Professional networking opportunities through a community of pro-bono STEM professionals.
- A $100 refundable deposit is required for most members and is returned after six months of active membership.
- K–12 educators, retirees, veterans, interns, and students are exempt from the refundable deposit.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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