Senior Data Engineer

About Rearc

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-keyboard leaders who don't just talk the talk but also walk the walk, designing and building solutions that push the boundaries of cloud computing.

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!

About the role

As a Senior Data Engineer at Rearc, you'll play a pivotal role in establishing and maintaining technical excellence within our data engineering team. Your deep expertise in data architecture, ETL processes, and data modelling will be instrumental in optimizing data workflows for efficiency, scalability, and reliability. You'll collaborate closely with cross-functional teams to design and implement robust data solutions that meet business objectives and adhere to best practices in data management. Building strong partnerships with both technical teams and stakeholders will be essential as you drive data-driven initiatives and ensure their successful implementation.

What you'll do

• Strategic Data Engineering Leadership : Provide strategic vision and technical leadership in data engineering, guiding the development and execution of advanced data strategies that align with business objectives.
• Architect Data Solutions : Design and architect complex data pipelines and scalable architectures, leveraging advanced tools and frameworks (e.g., Apache Kafka, Kubernetes) to ensure optimal performance and reliability.
• Drive Innovation : Lead the exploration and adoption of new technologies and methodologies in data engineering, driving innovation and continuous improvement across data processes.
• Technical Expertise : Apply deep expertise in ETL processes, data modelling, and data warehousing to optimize data workflows and ensure data integrity and quality.
• Collaboration and Mentorship : Collaborate closely with cross-functional teams to understand requirements and deliver impactful data solutions-mentor and coach junior team members, fostering their growth and development in data engineering practices.
• Thought Leadership : Contribute to thought leadership in the data engineering domain through technical articles, conference presentations, and participation in industry forums.

We're looking for :

Your first few weeks at Rearc will be spent in an immersive learning environment where our team will help you get up to speed. Within the first few months, you'll have the opportunity to experiment with a lot of different tools as you find your place on the team.

Benefits and Perks

Health Benefits

Generous time away

Maternity and Paternity leave

Educational resources and reimbursements

401(k) plan with a company contribution

Rearc is committed to a diverse and inclusive workplace. Rearc is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.