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Data Engineer at Saaf Finance | JobVerse
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Data Engineer
Saaf Finance
Remote
Website
LinkedIn
Data Engineer
United States
Contract
6 days ago
Apply Now
Key skills
AWS
BigQuery
Cloud
ETL
Python
SQL
Vault
ELT
Data Engineering
Analytics
Snowflake
dbt
Serverless
SaaS
CRM
CI/CD
About this role
Role Overview
Design, implement, and maintain ETL/ELT pipelines for structured and unstructured datasets from internal and external sources.
Build and optimize warehouses and marts (e.g., Snowflake, BigQuery) for analytics, reporting, and product use cases.
Ingest data from APIs and SaaS platforms (e.g., CRM, financial data APIs) into the core data platform.
Design conceptual, logical, and physical models to deliver scalable, consistent, high‑quality datasets.
Implement validation, schema management, and documentation to ensure accuracy and compliance.
Monitor and tune pipeline/warehouse performance for scalability and cost efficiency.
Apply data security and privacy controls aligned with financial regulations; ensure full transformation traceability.
Deliver clean, consistent datasets to analysts, PMs, and operations for fast, data‑driven decisions.
Requirements
Bachelor’s/Master’s in CS, Engineering, or related field.
3+ years in data engineering or similar backend data‑focused role.
Strong SQL and Python for transformation and automation.
Experience with modern ETL/ELT frameworks (e.g., dbt).
Proficiency with cloud platforms (AWS preferred) and serverless data services.
Strong experience with data warehouses (Snowflake preferred).
Skilled in API integrations and ingestion from third‑party systems.
Proficient in data modeling (Kimball/Star, Data Vault).
Able to implement CI/CD for data workflows and set up logging/monitoring/alerting for jobs.
Tech Stack
AWS
BigQuery
Cloud
ETL
Python
SQL
Vault
Benefits
Competitive salary; high ownership from day one.
Fast decision cycles; remote‑first with flexibility on hours/location.
Direct access to founders; clear expectations, regular feedback, and growth support.
Work on complex, high‑impact problems in a data‑intensive industry.
Apply Now
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