Solvd, Inc.
Posted 9 days agoVerified live 2d ago
Data Engineer
Brief overview
Remote
UndergradOr in progress
3+ yrsMinimum
1 H-1B approvalsDept. of Labor
DatabricksPythonData Pipeline Support and MaintenanceData Transformation LogicAzure
About the company
Solvd, Inc.solvd.com
Solvd is an AI engineering company with over a decade of experience implementing AI in corporations and products across technology, ecommerce, retail, fintech, hospitality, and banking.
Visa sponsorship history
1 year sponsoring, last filed FY2024
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.1H-1B approved
100%approval rate
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20241
Job description
Summary
Solvd, Inc. is an AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. The Data Engineer will support and maintain a production Data Lake built on Databricks, monitor pipeline health, resolve data issues, maintain Python-based transformations, and support users and stakeholders.
Responsibilities
- Support and maintain the production Data Lake, including transformations and reports hosted in Databricks
- Monitor pipeline health and investigate and resolve data issues as they arise
- Maintain and improve existing Python-based transformation logic
- Support end users and stakeholders with data-related requests and incidents
- Document changes and maintain up-to-date technical documentation for the platform
Skills
- 3–6 years of hands-on experience with Databricks in a production environment
- Strong Python skills — able to read, maintain, debug, and improve existing code
- Experience supporting or maintaining data pipelines and transformation logic
- Reliable, responsive, and comfortable owning a live system independently
- General understanding of Azure and how it underpins cloud data platform deployments
- Experience working in a support or maintenance capacity on an established data platform
Qualifications
Must Haves
- 3–6 years of hands-on experience with Databricks in a production environment
- Strong Python skills — able to read, maintain, debug, and improve existing code
- Experience supporting or maintaining data pipelines and transformation logic
- Reliable, responsive, and comfortable owning a live system independently
Nice to Haves
- General understanding of Azure and how it underpins cloud data platform deployments
- Experience working in a support or maintenance capacity on an established data platform
Benefits
- Remote work arrangement
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Global team with opportunities for collaboration across continents and cultures.
- Inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
