At Better Debt Solutions, we're seeking a Data Engineer to play a crucial role in expanding and optimizing our data architecture. This position involves building robust data pipelines and ensuring efficient data flow across the organization. The ideal candidate is a highly skilled data pipeline builder who excels at optimizing systems and building them from the ground up.
Key responsibilities include:
- Designing and maintaining scalable data infrastructure and automation pipelines for ETL processes
- Developing efficient data models, workflows, and pipelines
- Partnering with various teams to understand business needs and develop innovative data solutions
- Supporting data processing and reporting on AWS cloud-based platforms
- Leading efforts to normalize and govern data across the organization
- Troubleshooting and resolving critical issues in production
- Creating and optimizing custom queries for Tableau and Looker
- Building and maintaining Python-based ETL workflows with tools like Airflow
- Spearheading the migration from legacy systems to a modern cloud-based data lake
The ideal candidate will have:
- A Bachelor's Degree in Computer Science, Data Science, or a related field
- At least 5 years of progressive technical experience in Data engineering
- Advanced proficiency in Python and SQL
- Experience with AWS services (Redshift, S3, Glue, Kinesis, Lambda)
- Skills in schema design, dimensional modeling, and data mart creation
- Proficiency in Airflow for managing ETL workflows
- Experience with both relational and non-relational databases
- Strong communication skills and ability to work with technical and non-technical stakeholders
We offer a competitive salary range of $130,000-$150,000 per year, along with benefits including health, dental, and vision insurance, PTO, and opportunities for career growth. Join our team in Irvine, CA, and be part of a supportive and collaborative work environment dedicated to creating a better future for our clients.