Senior Data Engineer
$120k - $145kLedgent Tech
Job Description
Senior Data Engineer (AI-Driven Platform Modernization)
We are seeking a highly technical Senior Data Engineer with deep expertise in PostgreSQL and modern data engineering practices- and with AI enablement as a core, must-have skill . In this role, you will modernize our data platform, refactor complex database-centric business logic, and build high-quality data pipelines that serve as the foundation for advanced analytics and AI workloads. This is a senior, hands-on individual contributor role with substantial ownership of coding, database architecture, and production reliability. Key Responsibilities
- Modernize and refactor complex business logic currently embedded in Postgres functions, preparing systems for advanced AI integration.
- Design scalable schemas and AI-ready data models optimized for analytics, machine learning, and large-scale data processing.
- Implement database partitioning, indexing, and tuning strategies to support data growth, performance, and reliability.
- Design, build, and own production-grade data pipelines-from ingestion to consumption-capable of supporting real-time and batch AI use cases.
- Drive data quality, testing, monitoring, and operational reliability across pipelines to ensure trustworthy inputs for AI models.
- Work directly in production systems to troubleshoot, diagnose, and resolve data and performance issues.
- PostgreSQL expertise is mandatory , including advanced SQL, performance tuning, and production-scale experience.
- Demonstrated experience enabling or supporting AI/ML workloads as part of a data platform.
- 5+ years of hands-on experience in data engineering, backend engineering, or a related field.
- Experience refactoring, modernizing, or decomposing legacy database-centric architectures.
- Proficiency in Python or a comparable data engineering language.
- Strong understanding of ETL/ELT pipelines, data modeling, performance optimization, and data reliability engineering.
- Experience designing features, pipelines, or architectures specifically supporting machine learning or AI applications.
- Familiarity with orchestration tools (e.g., Airflow, Dagster) or cloud data ecosystems.
- Experience implementing automated data quality checks, pipeline testing, or CI/CD for data workflows.
Job Reference: JN -032026-416329
Vacancy posted 9 hours ago
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