Snowflake Data Engineer (Remote with Occasional Travel)

Overview

Remote
$DOE
Full Time
Accepts corp to corp applications
Contract - W2
Contract - cotract/fte

Skills

Snowflake

Job Details

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Snowflake Data Engineer in Remote. Below is the detailed job description.

Job Title: Snowflake Data Engineer (Remote with Occasional Travel)
Employment Type: Contract-to-Hire
Location: Remote (with occasional travel to client sites)
Domain: Banking / Financial Services

Employment Details

  • Type: Contract-to-Hire

  • Location: Remote (with occasional travel)

  • Compensation:

    • C2C: $70 $75/hour

    • Full-Time Conversion: $140K $150K annually

Position Overview

We are seeking an experienced Snowflake Data Engineer to join our dynamic data engineering team within the banking domain. The ideal candidate will design, build, and optimize scalable data pipelines and cloud data solutions on the Snowflake platform. This role is remote with occasional travel to client locations and offers a contract-to-hire opportunity.

Key Responsibilities

  • Design, develop, and implement scalable data solutions on the Snowflake cloud platform.

  • Build and maintain robust ETL/ELT pipelines for structured and semi-structured data.

  • Integrate data from multiple sources, ensuring accuracy, consistency, and performance.

  • Collaborate with business and analytics teams to design efficient data models supporting reporting and analytics needs.

  • Optimize Snowflake resources for performance and cost efficiency.

  • Work with cross-functional teams in the banking/financial services domain to ensure compliance and data governance best practices.

Required Skills & Qualifications

  • 10 years of overall Data Engineering experience, with strong hands-on expertise in Snowflake.

  • Strong experience with SQL, Python, and ETL tools (e.g., Informatica, dbt, Airflow, etc.).

  • Deep understanding of data warehousing concepts, cloud architectures, and performance tuning in Snowflake.

  • Prior experience working in Banking or Financial Services domain is mandatory.

  • Excellent communication and analytical skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.