Backend Engineer

Nexiva • Rockville, NY

1d • Hybrid

About The Position

We are seeking a Backend Engineer who brings strong ownership, technical depth, and a passion for building scalable, data-driven systems. This individual will play a key role in designing and delivering backend services that power high-performance applications and analytics platforms. This role requires someone who can operate across distributed systems, contribute to architectural decisions, and collaborate closely with cross-functional partners to deliver impactful solutions.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field
• 5 years of software engineering experience, with a focus on backend development
• Strong programming experience in one or more of the following: Java, Python, or TypeScript
• 3 years of experience working with big data technologies (e.g., Spark, Hadoop ecosystem, Presto/Trino)
• 3 years of experience building and consuming RESTful APIs
• Strong SQL skills with experience working across large, complex datasets
• Hands-on experience with AWS services such as S3, EMR, Lambda, ECS, or similar
• Experience with CI/CD pipelines and DevOps practices (e.g., Jenkins, GitLab CI/CD, or similar)
• Familiarity with infrastructure-as-code tools (e.g., CloudFormation, Terraform)

Nice To Haves

• Experience building data platforms or data-driven applications at scale
• Exposure to streaming technologies (e.g., Kafka)
• Experience with containerization and orchestration (Docker, Kubernetes/EKS)
• Familiarity with data lake architectures and query engines (e.g., Athena, Trino)
• Experience supporting production systems, including monitoring and performance tuning
• Strong problem-solving skills and ability to navigate ambiguity
• Ownership mindset with a focus on delivering high-quality outcomes
• Ability to communicate effectively across technical and non-technical stakeholders
• Passion for continuous learning and improving engineering practices

Responsibilities

• Design, develop, and maintain scalable backend services and APIs supporting data-intensive applications
• Build and optimize distributed systems leveraging big data technologies such as Spark, Hive, and Presto
• Develop high-performance APIs that enable interactive access to large-scale datasets
• Partner with product, data, and engineering teams to translate business requirements into technical solutions
• Contribute to system design, architecture discussions, and engineering best practices
• Ensure reliability, scalability, and performance of services deployed in AWS environments
• Participate in Agile development processes, including sprint planning, code reviews, and continuous improvement
• Support CI/CD pipelines and infrastructure-as-code practices for efficient and repeatable deployments
• Stay current with emerging technologies and contribute to innovation across the engineering organization

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level