Data Engineer

Next Ventures; United States; Remote; USD 70,000 - 90,000; Full time

Job summary

Next Ventures is seeking a skilled Data Engineer for a remote contract role supporting data infrastructure for a leading financial payments platform. The position focuses on building and optimizing data pipelines using Snowflake and AWS, ideal for mid-level engineers looking to enhance their skills in a regulated environment.

Qualifications

• 4–6 years of hands-on experience in data engineering or a related field.
• Proficient in developing ETL pipelines using modern tools and techniques.
• Strong experience with Snowflake, including performance tuning and schema design.

Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines.
• Work with large-scale data sets in Snowflake and optimize SQL queries.
• Collaborate with stakeholders to ensure data solutions meet compliance requirements.

Skills

ETL

SQL

AWS

Snowflake

Job description

This range is provided by Next Ventures. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$70.00/hr - $90.00/hr

Location: Remote (US-based)

Duration: Up to 1-Year Contract (via Consultancy)

Technologies: ETL, Snowflake, SQL, AWS

About the Role:

We are seeking a skilled Data Engineer to support ongoing data infrastructure initiatives for a leading financial payments platform. This is a remote, US-based contract opportunity (up to one year) delivered through a consultancy, ideal for mid-level data engineers looking to grow their experience in a high-impact, regulated environment. The role will focus on building and optimizing data pipelines across a modern data stack with an emphasis on Snowflake and AWS.

Key Responsibilities:

• Design, develop, and maintain robust ETL/ELT pipelines to support data ingestion, transformation, and delivery.
• Work with large-scale data sets in Snowflake and optimize performance and scalability of SQL-based queries and data models.
• Collaborate with data analysts, engineers, and business stakeholders to ensure data solutions meet financial reporting and compliance requirements.
• Integrate data from various sources (structured and unstructured) using AWS-native services and third-party tools.
• Monitor, troubleshoot, and improve data workflows, ensuring data quality, consistency, and reliability across systems.
• Contribute to documentation and best practices for scalable data engineering processes.

Qualifications:

• 4–6 years of hands-on experience in data engineering or a related field.
• Proficient in developing ETL pipelines using modern tools and techniques.
• Strong experience with Snowflake, including performance tuning and schema design.
• Proficient in SQL with the ability to write complex queries and optimize them for performance.
• Hands-on experience with AWS services (e.g., S3, Glue, Lambda, Redshift, etc.).
• Understanding of data governance, privacy, and security in a financial or regulated environment.

Preferred Qualifications:

• Prior experience working in or with financial services or payments platforms.
• Familiarity with CI/CD workflows, orchestration tools (e.g., Airflow), and version control (Git).
• Experience working in a consulting or client-facing environment.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Engineering and Information Technology

• Industries

  Financial Services and Banking

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