Job summary
Job post source
This job is directly from Rearc
Job overview
The Senior Data Engineer at Rearc leads data engineering efforts to design and optimize scalable data architectures and workflows, significantly impacting the company's data-driven initiatives.
Responsibilities and impact
The role involves providing strategic data engineering leadership, designing complex data pipelines, driving innovation in data processes, collaborating with cross-functional teams, mentoring junior engineers, and contributing to industry thought leadership.
Compensation and benefits
The position offers health benefits, generous time off, maternity and paternity leave, educational resources and reimbursements, and a 401(k) plan with company contributions.
Experience and skills
Candidates need 8+ years in data engineering with expertise in AWS data architectures, Python, data pipeline orchestration tools like Airflow or Databricks, data analysis libraries, SQL/NoSQL databases, AWS services, and strong communication skills.
Career development
New hires undergo an immersive learning period and have opportunities to experiment with various tools, supporting growth and adaptation in a dynamic environment.
Work environment and culture
Rearc fosters a creative, non-bureaucratic culture that encourages challenging the status quo and values ownership, freedom, and leadership in engineering.
Company information
Rearc, founded in 2016, is dedicated to empowering engineers with advanced tools to innovate in cloud computing, emphasizing a community of problem-solvers improving software engineering experiences.
Job location and travel
The job is based in the United States, with no specific office location or remote work details provided.
Unique job features
The role offers unique opportunities to lead advanced data engineering strategies using cutting-edge technologies like Apache Kafka and Kubernetes, with a strong emphasis on innovation and thought leadership.
Company overview
Rearc is a data management and consulting firm that specializes in helping organizations unlock the value of their data. They provide services such as data engineering, cloud migration, and data analytics to enable businesses to make data-driven decisions. Rearc generates revenue through consulting fees, subscription services, and custom data solutions. Founded in 2018, the company has quickly established itself as a trusted partner for enterprises looking to modernize their data infrastructure and leverage advanced analytics.
How to land this job
Position your resume to highlight your extensive experience in data engineering, emphasizing your expertise in data architecture, ETL processes, and data modelling, as these are central to the Senior Data Engineer role at Rearc.
Showcase your proficiency with cloud platforms, particularly AWS services, and your hands-on experience with tools like Apache Kafka, Kubernetes, Airflow, Databricks, and Terraform to align with the job's technical demands.
Apply through multiple channels such as Rearc's official corporate careers page and LinkedIn to maximize your chances and visibility for this position.
Connect with current Rearc data engineering team members or leadership on LinkedIn; use ice breakers like commenting on recent company projects, asking about their experience with Rearc’s cloud data initiatives, or expressing enthusiasm about Rearc’s culture of innovation and problem-solving.
Optimize your resume for ATS by incorporating relevant keywords from the job description such as 'data architecture,' 'ETL,' 'AWS,' 'Python,' 'Spark,' 'Databricks,' and 'Terraform' to ensure your resume passes initial automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications across multiple platforms and identify LinkedIn connections for networking, allowing you to focus your energy on preparing for interviews and skill enhancement.
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