Saaf Finance

Data Engineer

Saaf Finance

contract

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

AWSBigQueryCloudETLPythonSQLVault

About the role

  • 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.
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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ETLELTSQLPythondata modelingCI/CDAPI integrationsdata warehousingdata transformationdata validation