Backend Engineer (AWS + Big Data) - Onsite (MD/VA)

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Job Title: Backend Engineer (AWS + Big Data) FinTech | Onsite (MD/VA)

Location: Rockville, MD / Tyson, VA (5 days onsite)

Interview Process

Round 1: 1.30-min Phone/Virtual

Round 2: In-person (Rockville, MD / Tyson, VA)

Work Authorization: Open to H1B transfers and candidates on(OPT, , L2), as well as be local to the MVD area at the time of interview

Role Overview

Seeking a hands-on Backend Engineer with strong expertise in cloud-native architecture, distributed systems, and big data technologies to support a FinTech client.

You will play a key role in building scalable API platforms and high-performance data services.

Responsibilities

Design and build backend services and APIs for large-scale data systems

Develop distributed systems and microservices architectures

Build and optimize big data pipelines (Hive, Spark, Hadoop, Presto)

Develop RESTful APIs for high-performance data access

Write optimized SQL queries

Leverage AWS services for scalable solutions

Participate in Agile development processes

Improve system performance, scalability, and security

Mentor team members and promote best practices

Required Skills

Bachelor s degree in CS/IT or related field

5+ years of software engineering experience

Strong programming in Java, Python, or JavaScript/TypeScript

3+ years with big data tools (Hadoop, Spark, Presto)

3+ years building REST APIs and working with SQL

3+ years AWS experience (EMR, ECS, Lambda, S3)

Experience with CI/CD (Jenkins, CloudFormation)

Strong knowledge of distributed systems

Preferred Skills

Scripting (Shell, Python, Perl)

Experience with low-latency/high-throughput systems

FinTech or data-heavy domain experience

Knowledge of AWS Well-Architected Framework

Serverless/event-driven architecture experience