Job Description
Base Compensation Range: 60,000 - 120,000
The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
Key Responsibilities
• Build AI agents and multi-agent solutions
• Develop agentic workflows and LLM integrations
• Implement data quality, classification, lineage, and governance solutions
• Design scalable ETL/ELT pipelines and modern data platforms
• Support cloud-based data modernization programs
• Collaborate with business, architecture, and engineering teams
Responsibilities
Lead data engineering strategy across projects. Drive innovation in practices and optimization. Represent team in executive meetings. Develop long-term data plans.
Qualifications
Graduate in Computer Science, Data Science, or related field. 4-6 years of experience in data engineering or related field.
