Senior Data Engineer (AWS & Java)

Remote (Dallas, Texas, US); Remote (New York City, New York, US)

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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 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 Bring

  • 8+ years of experience in data engineering, showcasing expertise in diverse architectures, technology stacks, and use cases.

  • Strong expertise in designing and implementing data warehouse and data lake architectures, particularly in AWS environments.

  • Extensive experience with Java for data engineering tasks, including familiarity with libraries and frameworks commonly used in Java-based data engineering workflows.

  • Proven experience with data pipeline orchestration using platforms such as Airflow, Prefect, or AWS Glue.

  • Hands-on experience with data analysis tools and libraries like NumPy, Pandas, or Dask.

  • Proficiency with Spark and AWS EMR is highly desirable.

  • Experience with SQL and NoSQL databases, including PostgreSQL, Amazon Redshift, Delta Lake, and DynamoDB.

  • In-depth knowledge of data architecture principles and best practices, especially in cloud environments.

  • Proven experience with AWS services, including expertise in using AWS CLI, SDK, and Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or AWS CDK.

  • Exceptional communication skills, capable of clearly articulating complex technical concepts to both technical and non-technical stakeholders.

  • Demonstrated ability to quickly adapt to new tasks and roles in a dynamic environment.


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.

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!


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Category: Engineering Jobs

Tags: Airflow Architecture AWS AWS Glue CloudFormation Data analysis Data management Data pipelines Data warehouse Data Warehousing DynamoDB Engineering ETL Java Kafka Kubernetes NoSQL NumPy Pandas Pipelines PostgreSQL Redshift Spark SQL Terraform

Regions: Remote/Anywhere North America
Country: United States

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