About Us

Climb (NMLS# 1240013) is an innovative student payment platform that makes career-focused education more accessible and affordable. Driven by a mission to empower individuals to unlock their potential – no matter their credit profile – Climb identifies programs and schools that offer skill-based training programs, then provides learners with payment options that are structured to meet the unique needs of those seeking career training. Recognizing the dynamic and diverse nature of a rapidly-changing economy, Climb partners with schools that teach everything from cybersecurity to healthcare training, heavy machine operation to data science, and culinary arts to AI & Machine Learning. While status quo education pathways are struggling to meet the real-world needs of students and prospective employers, Climb and its partner schools are committed to an inspiring practicality that helps bridge the gap between people looking for career training and companies looking to build a skilled workforce. Through unconscious bias training, a series of values-based interview questions, and a focus on diversity-first job boards, we are committed to cultivating a team that recruits, retains, and celebrates a variety of backgrounds, perspectives, and skills.

Overview of Role

We are looking for a skilled and motivated data engineering professional to expand the capabilities of our high-performing Data team. The ideal candidate will have extensive experience building scalable data pipelines, managing modern data platforms, and collaborating across business functions to deliver data-driven solutions. Previous experience in fintech (loan products, credit risk, or credit cards) would be a considerable bonus. Remote-friendly, but locality to NYC is a plus.

Responsibilities

This is a US-based remote position

As part of the Data team, your responsibilities will include:

Data Engineering (70%):

• Develop and maintain optimal data pipeline architecture using SQL and Python.

• Design and implement scalable data models using dbt (Data Build Tool - dbtlabs.com).

• Build infrastructure for the extraction, transformation, and loading (ETL) of data from various sources.

• Configure and manage data ingestion tools such as Stitch.

• Create analytics tools to provide actionable insights into customer acquisition, operational efficiency, portfolio performance, funding waterfalls, and other key metrics.

• Troubleshoot and resolve technical issues within the data platform.

Technical Design and Architecture (10%):

• Collaborate with teams to design robust and efficient data solutions that balance performance, security, and scalability.

• Provide guidance on architectural decisions and evaluate technical implementations to ensure alignment with organizational strategies and best practices.

• Stay updated on emerging technologies and recommend improvements to the data stack.

Collaboration and Communication (10%):

• Work closely with stakeholders across Executive, Product, Data, and Design teams to understand and address their data needs.

• Maintain clear and open communication to ensure alignment on data-related initiatives.

• Support and mentor team members in data engineering best practices.

Project Management Support (5%):

• Participate in sprint planning sessions, team meetings, and the overall data development lifecycle.

• Assist in evaluating project scopes, estimating timelines, and ensuring deliverables meet deadlines and budgets.

• Maintain accurate documentation of processes and projects.

Continuous Improvement (5%):

• Identify and implement process improvements to optimize data delivery and infrastructure scalability.

• Recommend automation opportunities and stay informed on industry trends, including advancements in cloud and AI tools.

• Foster a culture of learning and knowledge sharing within the team.

Background and Skills

You may be an excellent fit for this position if you have:

Technical Expertise:

• 5-7 years of experience in Data Lake or Data Warehouse environments as a data engineer or analytics engineer.

• Proficiency in SQL-based data manipulation and transformation.

• Experience with dbt (Data Build Tool - dbtlabs.com) and Python for scalable pipeline development.

• Familiarity with cloud platforms such as Snowflake, Synapse Analytics, Google BigQuery, or AWS Redshift.

• Knowledge of distributed source control using Git and comfort working in Agile environments.

• Experience with BI tools like Power BI, Tableau, or Looker.

• Experience and passion for simplifying data and operations processes through automation.

• Exposure to Databricks is a plus.

Collaboration and Problem-Solving:

• Strong analytical and troubleshooting skills to resolve complex data issues.

• Proven ability to work collaboratively with cross-functional teams and stakeholders.

• Commitment to creating inclusive environments where diverse identities and experiences thrive.

Nice to Have:

• Experience in the fintech industry or related fields such as loan products or credit risk.

• A passion for Climb’s mission to expand access to quality education.

• Capacity to take on larger responsibilities as the company grows.

Join us in shaping the future of data-driven innovation at Climb! Apply today to be part of a dynamic and forward-thinking team.