Mid-Level Data Engineer - Remote

Overview

We are seeking a mid-level Data Engineer to join our fintech project, Sparrow Card, as part of a dedicated engineering team for a top U.S.-based startup. You will work collaboratively to design and develop scalable data systems.

In Short

• Design, build, and maintain data pipelines and ETL workflows using Python.
• Write and optimize SQL queries for data transformation and validation.
• Develop data processing jobs in a Databricks-first environment using Spark and Delta Lake.
• Orchestrate data workflows using Airflow.
• Implement data quality checks for reliability and consistency.
• Support the Principal Data Engineer and collaborate with the Data Engineering team.
• Work with cloud-based data platforms, primarily within AWS.
• Use Git for version control and contribute to CI/CD workflows.
• Participate in code reviews and continuous improvement of data solutions.

Requirements

• 2-4 years of experience as a Software Engineer or Data Engineer.
• Strong hands-on experience with Python for building data pipelines.
• Strong SQL skills for querying, transforming, and validating data.
• Experience with Databricks (Spark, Delta Lake).
• Hands-on experience with Airflow for workflow orchestration.
• Familiarity with AWS fundamentals in a cloud-based data environment.
• Experience building and maintaining ETL pipelines.
• Experience with Git and basic CI/CD processes.
• Nice to have: experience with streaming data pipelines.
• Ability to work effectively in a collaborative, fast-paced environment.
• Good English communication skills (verbal and written).

Benefits

• Opportunity to work on innovative fintech projects.
• Collaborative work environment.
• Professional development opportunities.
• Flexible working hours.
• Potential for remote work options.