Senior Data Engineer I | Remote

Priority Vendor; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

A leading company in the FinTech sector is seeking a Data Engineer to enhance their data ecosystem. In this role, you'll design and maintain scalable data infrastructure, develop ETL pipelines, and ensure data quality. Collaborating with diverse teams, you'll tackle complex challenges and drive innovation in data practices. The ideal candidate will have a strong background in data engineering, cloud platforms, and a passion for problem-solving in a fast-paced environment.

Benefits

Flexible work options

Volunteer time off

Qualifications

• 3+ years of relevant experience in Data Engineering.
• Experience with cloud platforms - AWS or GCP.
• Comfortable with source control, especially git.

Responsibilities

• Design, implement, and monitor data pipelines for reliability and quality.
• Collaborate with cross-functional teams to meet data needs.
• Maintain and improve data infrastructure and documentation.

Skills

Collaboration

Problem Solving

Curiosity

Continuous Improvement

Code Quality

Education

Bachelor’s degree in computer science

Tools

Apache Spark

Airflow

AWS

GCP

Git

Job description

About the position

At C2FO, data is more than just numbers its the foundation of every decision we make.
To drive meaningful impact, our teams rely on timely, accurate, and relevant insights. That’s where our Data Engineers come in.

Using modern, open-source technologies, our Data Engineers build the systems that collect, process, and store critical business data. They collaborate closely with data scientists, engineers, and domain experts to tackle complex, long-term challenges in working capital across industries like Retail, Technology, and Healthcare.

As a Data Engineer, you’ll play a key role in shaping our data ecosystem — designing and maintaining scalable, secure, and high-performing infrastructure. You’ll develop robust ETL pipelines, design efficient data models, and contribute to our data lake architecture. By ensuring data quality and reliability, you’ll empower teams across the organization to unlock insights and drive smarter decisions.

Key Responsibilities

• Collaborate with cross-functional teams—including Software Engineers, Data Scientists, Data Operations, and Business Analysts—to meet data storage, accessibility, and analysis needs.
• Design, implement, and monitor data pipelines and cleaning processes to ensure data reliability, quality, and integrity across systems.
• Work with Development and Operations teams to deploy and manage distributed computing environments in multi-cloud setups.
• Maintain and improve the data infrastructure, including documentation, data models, and dictionaries, ensuring clarity and consistency.
• Take full ownership of the codebase—delivering complex, independent tasks and contributing to long-term enhancements.
• Mentor and guide fellow engineers, fostering a collaborative, high-performing, and growth-oriented team culture.
• Embrace continuous improvement by soliciting feedback, following engineering best practices, and introducing new tools or processes for greater efficiency.
• Stay current with industry trends and technologies to drive innovation in data infrastructure and practices.

Basic Qualifications

• Bachelor’s degree in computer science or a related field
• 3+ years of relevant experience in Data Engineering
• Concerned with the success of their team
• Respectful towards teammates regardless of their abilities
• Able to work in a highly collaborative software development environment
• Curious to understand the work's problem space and 'why.'
• Passionate about testing, code quality, and continuous integration
• Vigilant in identifying tech debt and continually improving how we do things
• Persistent while facing roadblocks, dispatching them efficiently, and pulling in others as necessary.
• Comfortable with source control, especially git
• Experience with cloud platforms - AWS or GCP
• Necessary Experience on:
• Distributed Computing and Parallel Processing frameworks like Apache Spark
• Scala/Python.
• Data Modelling, SQL and Query Optimization.
• Orchestration tools like Airflow etc.

Preferred Qualifications

• Passionate about solving problems for a fast-paced FinTech company
• We would be delighted to hire someone who has knowledge or some experience with:
• Strong understanding of data warehousing concepts and methodologies
• Experience with Data Cataloguing and Data Discovery Tools like Datahub, Data Catalog
• Familiarity with DevOps tools such as GitHub actions, Jenkins, or Docker
• Experience with cloud-based data warehouses such as Snowflake, Redshift, or Big Query
• Experience with Agile methodologies such as Scrum or Kanban

Benefits

At C2FO, we care for our customers and people – the vital human capital that helps our customers thrive. That's why we offer a comprehensive benefits package, flexible work options for work/life balance, volunteer time off, and more. Learn more about our benefitshere.

Commitment to Diversity and Inclusion

As an Equal Opportunity Employer, we value diversity and equality and empower our team members to bring their authentic selves to work daily. We recognize the power of inclusion, emphasizing that each team member was chosen for their unique ability to contribute to the overall success of our mission. Our goal is to create a workplace that reflects the communities we serve and our global, multicultural clients.

We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment decisions are based on qualifications, merit, and business needs.