Lendio is seeking a Senior Data Engineer to design, build, and optimize robust data pipelines, ensuring that data is accurate, reliable, and available for analytics, reporting, and product development.
Requirements
- Proficiency in SQL (expert-level skills in writing complex queries, optimization, and database design)
- Proficiency in Python (senior-level, with experience in data processing, automation, and workflow orchestration)
- Strong understanding of relational databases, data modeling, and data warehousing concepts
- Experience with modern data pipeline tools and cloud platforms (e.g., AWS, GCP, Azure, Snowflake, Databricks, dbt, Airflow, Debezium)
- Experience with CI/CD tools and deployment pipelines
Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines and data workflows using Python, SQL and modern data technologies
- Build and optimize data architectures that support business-critical reporting, analytics, and machine learning
- Implement best practices for data governance, data quality, and security
- Collaborate with cross-functional teams to understand data requirements and deliver solutions
- Monitor and troubleshoot performance issues across pipelines and databases
- Mentor junior engineers and contribute to engineering best practices and standards
Other
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
- 6+ years of professional experience in data engineering or related fields
- Strong stakeholder management skills
- Untracked PTO (Paid Time-off) and other benefits
