Senior Data Engineer
RemoteUnited States or Colombia
Job Summary
Design, develop, and maintain data pipelines to ingest, transform, and normalize data from multiple sources, leading Snowflake ingestion architectures for scalability. Apply best practices in data validation to ensure accuracy and consistency across datasets while performing transformations to support analytics and reporting. Work with large datasets using SQL and Python to process data efficiently, implementing validation rules and monitoring processes to guarantee data quality. Collaborate with cross-functional teams and stakeholders to translate data requirements into scalable solutions and support ETL processes for structured and semi-structured data. Contribute to documentation and continuous improvement of data processes and standards within a high-impact enterprise initiative.
Required Qualifications
- 4+ years of experience in Data Engineering or Data Analytics roles with strong engineering focus
- Strong hands-on experience with Snowflake (Must)
- Strong hands-on experience with Python for data processing and transformation
- Strong experience with SQL and working with large-scale datasets
- Proven experience in data validation, data transformation, and normalization
- Experience building and maintaining ETL pipelines and handling data ingestion workflows
- Strong attention to detail with a focus on data quality and reliability
- Ability to work in cross-functional environments and communicate effectively with stakeholders
Desired Qualifications
- Experience working with Salesforce data structures
- Familiarity with Tamarac or similar RIA platforms
- Experience with Compass or SharePoint integrations
- Experience with file handling and ingestion processes (e.g., CSV, JSON, batch files)
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