Data Engineer: Snowflake & Databricks (Hybrid)

FinTrust Connect; New York (NY); Hybrid; USD 137,760 - 234,192; Full time

Job summary

A leading financial tech firm is seeking a Data Engineer proficient in Snowflake and Databricks for a hybrid position based in New York. The ideal candidate will have 5 to 8 years of experience in data engineering, specializing in building reliable data pipelines and optimizing performance in financial services. Responsibilities include designing ELT pipelines, implementing data quality checks, and ensuring data governance. Competitive compensation of $100 to $170 per hour based on expertise.

Qualifications

• 5 to 8 years in data engineering within financial services or high scale platforms.
• Hands on experience with Snowflake and Databricks.
• Strong SQL and Python skills required.

Responsibilities

• Design and deliver ELT pipelines with reproducible code and tests.
• Model data sets for analytics and business intelligence.
• Implement data quality checks and SLAs.

Skills

Data engineering

Python

SQL

Snowflake

Databricks

Airflow

CI/CD

Tools

Snowflake

Databricks

Git

Job description

A leading financial tech firm is seeking a Data Engineer proficient in Snowflake and Databricks for a hybrid position based in New York. The ideal candidate will have 5 to 8 years of experience in data engineering, specializing in building reliable data pipelines and optimizing performance in financial services. Responsibilities include designing ELT pipelines, implementing data quality checks, and ensuring data governance. Competitive compensation of $100 to $170 per hour based on expertise.