Job description

Title: Backend Engineer (Big Data & AWS) Duration: 6 Months with possible extension Interview process: 2 Rounds - Phone, Onsite panel LOCATIONS: Rockville, MD - Gira Building, 9509 Key West Avenue, Rockville, MD 20850 Tysons, VA - Valo Park, 7950 Jones Branch Drive, Suite 301, Tysons, VA 22102 Washington, DC - 1700 K Street NW, Suite 1200, Washington, DC 20006 New York, NY - Brookfield Place, 200 Liberty Street, Suite 1200, New York, NY 10281 Jersey City, NJ - 10 Harborside Plaza, 3 Second Street, Suite 900, Jersey City, NJ 07311 Woodbridge, NJ - 581 Main Street, Suite 710, Woodbridge, NJ 07095 Jericho, NY - Two Jericho Plaza, Suite 307, Jericho, NY 11753 Philadelphia, PA - 1601 Market Street, Suite 2700, Philadelphia, PA 19103 Boston, MA - Keystone Building, 99 High Street, Suite 1200, Boston, MA 02110 Chicago, IL - 101 N. Wacker Drive, Suite 2200, Chicago, IL 60606 Dallas, TX - 12801 N. Central Expressway, Suite 1050, Dallas, TX 75243 Boca Raton, FL - Boca Center Tower 1, 5200 Town Center Circle, Suite 200, Boca Raton, FL 33486 Denver, CO - 4600 S. Syracuse Street, Suite 1400, Denver, CO 80237 Los Angeles, CA - 300 South Grand Avenue, Suite 1700, Los Angeles, CA 90071 San Francisco, CA - 100 Pine Street, Suite 1800, San Francisco, CA 94111 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

Requirements

Must-haves

Title: Backend Engineer (Big Data & AWS)
Duration: 6 Months with possible extension
Interview process: 2 Rounds - Phone, Onsite panel
Rockville, MD - Gira Building, 9509 Key West Avenue, Rockville, MD 20850
Tysons, VA - Valo Park, 7950 Jones Branch Drive, Suite 301, Tysons, VA 22102
Washington, DC - 1700 K Street NW, Suite 1200, Washington, DC 20006
New York, NY - Brookfield Place, 200 Liberty Street, Suite 1200, New York, NY 10281
Jersey City, NJ - 10 Harborside Plaza, 3 Second Street, Suite 900, Jersey City, NJ 07311
Woodbridge, NJ - 581 Main Street, Suite 710, Woodbridge, NJ 07095
Jericho, NY - Two Jericho Plaza, Suite 307, Jericho, NY 11753
Philadelphia, PA - 1601 Market Street, Suite 2700, Philadelphia, PA 19103
Boston, MA - Keystone Building, 99 High Street, Suite 1200, Boston, MA 02110
Chicago, IL - 101 N. Wacker Drive, Suite 2200, Chicago, IL 60606
Dallas, TX - 12801 N. Central Expressway, Suite 1050, Dallas, TX 75243

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
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

Application prep

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Keywords to mirror

awsagileci/cdjavapythontypescriptsqldockerkubernetes

Platform: careers-browser
Effort: medium