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.

As a Data Engineer at Rearc, you'll contribute to the technical excellence of our data engineering team. Your expertise in data architecture, ETL processes, and data modeling will help optimize data workflows for efficiency, scalability, and reliability. You'll work 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 technical teams and stakeholders will be essential as you support data-driven initiatives and contribute to their successful implementation.

What you bring

• 2+ years of experience in data engineering, data architecture, or related fields, bringing valuable expertise in managing and optimizing data pipelines and architectures.

• Solid track record of contributing to complex data engineering projects, including assisting in the design and implementation of scalable data solutions.

• Hands-on experience with ETL processes, data warehousing, and data modelling tools, enabling the support and delivery of efficient and robust data pipelines.

• Good understanding of data integration tools and best practices, facilitating seamless data flow across systems.

• Familiarity with cloud-based data services and technologies (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery) ensuring effective utilization of cloud resources for data processing and analytics.

• Strong analytical skills to address data challenges and support data-driven decision-making.

• Proficiency in implementing and optimizing data pipelines using modern tools and frameworks.

• Strong communication and interpersonal skills enabling effective collaboration with cross-functional teams and stakeholder engagement.

What you’ll do

• Collaborate with Colleagues: Work closely with colleagues to understand customers' data requirements and challenges, contributing to the development of robust data solutions tailored to client needs.

• Apply DataOps Principles: Embrace a DataOps mindset and utilize modern data engineering tools and frameworks like Apache Airflow, Apache Spark, or similar, to create scalable and efficient data pipelines and architectures.

• Support Data Engineering Projects: Assist in managing and executing data engineering projects, providing technical support and contributing to project success.

• Promote Knowledge Sharing: Contribute to our knowledge base through technical blogs and articles, advocating for best practices in data engineering, and fostering a culture of continuous learning and innovation.

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!