Hiring Backend Engineer (Big Data & AWS)
Abhinav Mohanty
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Role: Backend Engineer (Big Data & AWS)
Location: Rockville, MD or McLean, VA - (Hybrid – 3 Days) – Need Local
Job Summary:
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.
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
Required Qualifications
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)
Preferred Qualifications
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
What Sets You Apart
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
We do consider EAD consultants here, until and unless they are genuine and we do have an assessment test for this role and would only be able to submit if the candidates who cleared the test. And need local candidates who can come for an in-person interview for the final round.