Data Engineer

JOB SUMMARY

Are you passionate about building data infrastructure that drives results? Do you thrive in a fast-paced environment where you can learn and grow? If so, this is the perfect opportunity for you!

About the Role

We're looking for a skilled and proactive Data Engineer to join our growing team. In this role, you'll be responsible for building, maintaining, and optimizing scalable data pipelines that serve as the backbone for analytics, reporting, and data-driven decision-making across the organization. You'll play a critical part in shaping our data infrastructure, with a particular focus on Amazon Redshift and dbt as core technologies in our modern data stack.

You’ll work closely with data scientists, product managers, analysts, and engineers to deliver clean, trusted, and well-documented data. This is an opportunity to work on high-impact data initiatives in a fast-moving environment where technical excellence and pragmatic problem-solving are highly valued.

ESSENTIAL JOB FUNCTIONS

• Design, build, and maintain reliable, scalable data pipelines for ingestion, transformation, and loading (ETL/ELT)
• Develop and optimize data models in Amazon Redshift, aligned with analytical and operational use cases
• Build and maintain dbt models to enable modular, testable, and well-documented transformations
• Implement robust data quality checks and monitoring to ensure high data integrity
• Work cross-functionally to understand data needs and deliver relevant, well-structured datasets
• Continuously refine and improve performance, cost-efficiency, and scalability of data workflows
• Document pipeline architecture, business logic, and data lineage
• Mentor junior team members and contribute to a culture of best practices in data engineering

   EDUCATION AND EXPERIENCE

• Bachelor’s degree in Computer Science, Information Systems, or related field—or equivalent professional experience
• 3+ years of experience in data engineering or a closely related field
• Strong SQL skills and experience with scripting languages (Python, Bash, JS/TS)
• Proven experience working with Amazon Redshift as a primary data warehouse
• Hands-on experience with dbt, including model design, testing, and documentation
• Solid understanding of data warehousing principles, including ETL/ELT workflows and dimensional modeling
• Experience with cloud-based infrastructure, preferably AWS
• Strong collaboration and communication skills in cross-functional settings
• Ability to balance technical excellence with practical delivery in a fast-paced environment

Bonus points:

• Experience in a SaaS or product-led growth environment
• Familiarity with orchestration tools like Airflow or Dagster
• Experience implementing CI/CD practices in data pipelines (e.g., GitHub Actions)
• Knowledge of data governance, access control, and security best practices
• Opportunity to work on challenging and impactful projects
• Work with cutting edge technologies in a SaaS environment
• Collaborative and supportive work environment
• Be a part of a fast-paced and growing company
• Chance to learn and grow your skills alongside experienced data scientists