Senior Data Engineer

At Rearc, we're committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our people's ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If you're an engineer driven by the desire to solve problems and make a difference, you're in the right place!

Our approach is simple — empower engineers with the best tools possible to make

an impact within their industry.

We're on the lookout for engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. Our ideal candidates are hands-on leaders who don't just talk the talk but also walk the walk, designing and building solutions that push the boundaries of cloud computing.

As a Senior Data Engineer at Rearc, you will be at the forefront of driving technical excellence within our data engineering team. Your expertise in data architecture, cloud-native solutions, and modern data processing frameworks will be essential in designing workflows that are optimized for efficiency, scalability, and reliability. You'll leverage tools like Databricks, PySpark, and Delta Lake to deliver cutting-edge data solutions that align with business objectives. Collaborating with cross-functional teams, you will design and implement scalable architectures while adhering to best practices in data management and governance. Building strong relationships with both technical teams and stakeholders will be crucial as you lead data-driven initiatives and ensure their seamless execution.

What You Bring

• 8+ years of experience in data engineering, with a proven track record in both cloud-based and hybrid architectures.
• Strong expertise in Databricks, PySpark, and SQL, with hands-on experience in Delta Lake and other modern data frameworks.
• Demonstrated ability to design and implement data lake and data warehouse architectures in AWS environments (Azure/GCP knowledge is a plus).
• Advanced knowledge of Spark and cloud-native services such as AWS EMR, Glue, or equivalent.
• Experience with orchestration tools like Airflow or Prefect (optional but preferred).
• Exceptional ability to communicate complex technical ideas to diverse audiences.

What You'll Do

• Lead modern cloud data solutions, focusing on Databricks and scalable data pipelines for large-scale analytics.
• Optimize ETL workflows and implement robust data models to enhance business outcomes.
• Collaborate with cross-functional teams to develop innovative solutions that integrate data engineering best practices.
• Mentor team members and foster a culture of technical excellence in cloud and data engineering.

Some More About Us

Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is non-existent, and individuals are encouraged to challenge the status quo. We're not just a company; we're a community of problem-solvers dedicated to improving the lives of fellow software engineers.

Our commitment is simple - finding the right fit for our team and cultivating a desire to make things better. If you're a cloud professional intrigued by our problem space and eager to make a difference, you've come to the right place. Join us, and let's solve problems together!