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Software Engineering Director

Job in McLean, Fairfax County, Virginia, USA
Listing for: Pyramid Consulting
Full Time position
Listed on 2026-06-30
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 80 - 85 USD Hourly USD 80.00 85.00 HOUR
Job Description & How to Apply Below

Software Engineering Director

Immediate need for a talented Software Engineering Director. This is a 06+ Months Contract opportunity with long-term potential and is located in Mclean VA (Onsite).

Job
-13705 Pay Range: $80 - $85/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:
  • Deep understanding of modern software designs and emerging AI technologies
  • Ability to align technical decisions with business objectives
  • Ability to establish engineering practices for responsible AI implementation
  • Being enthusiastic about technology and engineering discipline and applying it in building innovative distributed systems reducing complexity
  • Taking ownership, acting with accountability and urgency
  • Energized by challenges, demonstrate resilience, incredible technical analysis, and focus on doing the right thing
  • Constantly exploring modern technologies and their practical applications
  • Building consensus while driving technical excellence
  • Ability to create & articulate application technical designs, decomposing designs to development tasks, sizing efforts and building roadmaps aligning with business goals
  • Thriving in ambiguity and rapid technological change
  • Passion for elevating team capabilities and sharing knowledge
  • Balancing perfection with pragmatic delivery
  • Self-driven, actively looking for ways to contribute, and knowing how to get things done
Key Requirements and Technology

Experience:
  • Must have skills:

    - Java, python, Springboot, Microservices, Gen-AI and People management
  • Bachelor's or Master's in Computer Science, Computer Engineering, or related field
  • 15+ years of non-internship professional experience in software engineering, with at least 5+ years in data engineering
  • 10+ years of experience in design, development, delivery and supporting distributed systems using Java, Spring, Spring Boot, Microservices, RESTful and GraphQL APIs
  • 4+ years' experience in developing and maintaining applications using Spark frameworks with strong programming skills in Python, Scala, and Spark ecosystem
  • Expertise in processing and analyzing large-scale datasets
  • Knowledge of Object-Oriented Design, data structures, and algorithms
  • Experience with cloud platforms like AWS, GCP or Azure and their data services
  • Strong knowledge of data fabric concepts (data virtualization, metadata-driven orchestration, semantic layers)
  • Experience with near real-time data processing, stream-based integrations, and data serialization formats
  • Experience with data modelling, and an understanding of common information models
  • 5+ years' experience in Agile practices, building software in enterprise environment, with 1+ years in applied Gen AI or LLM-based solutions
  • Experience with modern data analytics and AI/ML integration (Sage Maker, Tableau, Snowflake Spectrum)
  • Hands-on experience with CI/CD pipelines and modern Dev Ops/Data Ops practices, including Git, Terraform, Jenkins, Pipelines, and Containerization
  • Experience in designing, implementing, and maintaining scalable data pipelines and ETL/ELT processes to support enterprise reporting and analytics needs
  • Experience in Data Governance discipline including Master Data Management, Data Quality Management, Metadata management, Lineage, and cataloging
  • Experience with OAuth Implementation, API Management, Service Mesh, Active-MQ implementations (Queue/Topic) and Schedulers for batch jobs.
  • Experience in database systems (RDBMS, GraphDB, Advanced SQL proficiency, MongoDB), Object storage (S3, Blob), Caching (Redis), and Data Mart's
  • Experience solving complex problems, especially in algorithm-heavy or data intensive applications
  • Knowledge in building RAG systems, data ingestion pipelines, and embedding-driven retrieval systems
  • Excellent communication skills with ability to translate technical concepts to various audiences
  • 7+ years in leadership roles managing cross-functional engineering teams including both data engineers and software engineers
  • Proven experience influencing business outcomes through technical solutions
  • Strong people skills to influence and engage stakeholders across all levels without direct authority
  • Excellent problem solving, design thinking, and decision-making skills

Our client is a leading Banking and Financial Industry and we are currently interviewing to fill this and other similar contract positions.

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