W2 Role || Lead Software Engineer (Big Data, Spark, AWS, Full Stack) || In-Person Interview

Rockville, MD, US • Posted 8 hours ago • Updated 8 hours ago
Contract W2
Contract Independent
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Software Engineering
  • System Design
  • Apache Spark
  • Hadoop
  • Hive
  • Trino
  • Advanced SQL
  • Window Functions
  • Joins
  • Aggregations
  • Query Optimization
  • Python
  • Scala
  • S3
  • EMR
  • Glue
  • Athena
  • Lambda
  • EKS
  • Frontend
  • Backend
  • APIs
  • Microservices
  • Full Stack Development
  • Relational & NoSQL
  • DevOps
  • CI/CD
  • Test Automation
  • Unit Testing
  • Quality Engineering
  • GitHub Copilot
  • ChatGPT
  • Claude
  • Amazon Q

Summary

Job Descripton:

We are seeking a highly experienced Lead Software Engineer to design, develop, and optimize enterprise-scale applications and big data platforms. The ideal candidate will have strong expertise in Apache Spark, AWS Cloud, Full Stack Development, System Design, and Software Engineering best practices.

Required Skills:

7+ years of Software Engineering experience

Strong System Design and Architecture experience

Expertise in Apache Spark, Hadoop, Hive, and Trino

Experience processing large-scale datasets (TB/PB scale)

Advanced SQL (Window Functions, Joins, Aggregations, Query Optimization)

Strong programming skills in Python or Scala

AWS Services: S3, EMR, Glue, Athena, Lambda, EKS

Full Stack Development (Frontend, Backend, APIs, Microservices)

Object-Oriented Design and Design Patterns

Data Storage Technologies (Relational & NoSQL)

Performance Tuning and Optimization

DevOps, CI/CD, and Infrastructure Automation

Test Automation, Unit Testing, and Quality Engineering

Software Security and Secure Coding Practices

Experience with AI tools such as GitHub Copilot, ChatGPT, Claude, Amazon Q

Leadership Responsibilities:

Lead architecture and technical design initiatives

Mentor and guide engineering teams

Drive engineering excellence and best practices

Collaborate across business and technology teams

Lead modernization, automation, and AI adoption efforts

Preferred Skills:

Kubernetes / EKS

Serverless Architectures

Financial Services experience

Agile/Scrum leadership

Cloud Certifications (AWS)

Large-scale distributed systems experience

Qualifications:

Bachelor''s degree in Computer Science or related field

Strong communication and stakeholder management skills

Proven experience delivering enterprise-grade solutions

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10112454
  • Position Id: 9010568
  • Posted 8 hours ago
Contact the job poster
RA

Rob Addapalli

Recruiter @ V.L.S. Systems, Inc
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