Mid-Level Software Engineer

Rockville, MD, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
On-site
USD $72.00 - 77.00 per hour
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Job Details

Skills

  • Software Development
  • Onboarding
  • Knowledge Sharing
  • Algorithms
  • Problem Solving
  • Conflict Resolution
  • Data Structure
  • Collaboration
  • Computer Science
  • Information Systems
  • Cloud Computing
  • Data Storage
  • Systems Design
  • Performance Tuning
  • Optimization
  • DevOps
  • Java
  • Python
  • Node.js
  • Object-Oriented Programming
  • RESTful
  • Microservices
  • Big Data
  • Apache Spark
  • Electronic Health Record (EHR)
  • Extract
  • Transform
  • Load
  • ELT
  • Streaming
  • Data Lake
  • Data Warehouse
  • Management
  • File Formats
  • Apache Parquet
  • Apache Avro
  • SQL Tuning
  • Analytical Skill
  • Workflow
  • Orchestration
  • Scheduling
  • Step-Functions
  • Data Quality
  • Relational Databases
  • PostgreSQL
  • MySQL
  • NoSQL
  • Database
  • Amazon DynamoDB
  • MongoDB
  • Apache Cassandra
  • Amazon EC2
  • Amazon S3
  • Remote Desktop Services
  • Amazon RDS
  • API
  • Virtual Private Cloud
  • Computer Networking
  • Terraform
  • Automated Testing
  • Unit Testing
  • Software Security
  • Dashboard
  • Data Visualization
  • React.js
  • AngularJS
  • GitLab
  • Continuous Integration
  • Continuous Delivery
  • Amazon Web Services
  • Privacy
  • Artificial Intelligence
  • Recruiting
  • MEAN Stack
  • Customer Service
  • Training And Development
  • SAP BASIS

Summary

Software Guidance & Assistance, Inc., (SGA), is searching for a Mid-Level Software Engineer for a CONTRACT assignment with one of our premier Regulatory clients in Rockville, MD or Tysons, VA.

The Mid-Level Software Engineer develops software products and improves overall product quality across the software development life cycle, working independently on complex efforts with general guidance. Incumbents take on problems of moderate to substantial scope that require sound technical judgment - designing, building, and maintaining applications that ingest multiple data sources and surface insights through correlation and analysis - while growing toward broader technical ownership and beginning to guide less-experienced engineers.

Responsibilities :
  • Designs, develops, tests, and maintains features and services that ingest multiple data sources and surface insights through correlation and analysis, delivering clean, maintainable, well-tested code.
  • Takes ownership of moderately complex components end to end - from design through delivery and support - with limited guidance.
  • Participates in architecture and design discussions, contributes technical input, and helps shape solutions for the team.
  • Identifies and resolves technical issues and dependencies, escalating broader risks appropriately to keep work on track.
  • Supports production systems, troubleshoots issues, and improves reliability, performance, and maintainability of existing code and infrastructure.
  • Participates in code reviews - submitting own work and providing constructive feedback - and helps apply and improve the team's coding standards, tools, and best practices.
  • Provides informal guidance to junior engineers and contributes to onboarding and knowledge sharing.
  • Applies computer science fundamentals - algorithm design, problem solving, complexity analysis, and data structures - and growing experience with Big Data technologies to solve business problems.
  • Uses AI-assisted development tools to work more effectively, applying good judgment to review generated output for correctness, security, and quality.
  • Builds productive working relationships across the team, communicates progress and blockers proactively, disagrees and commits when needed, and demonstrates the firm's values through in-person and virtual collaboration in furtherance of the firm's mission of investor protection and market integrity.
Required Skills :
  • Bachelor's degree in Computer Science, Information Systems, or a related discipline with at least five (5) years of related experience, or the equivalent combination of education and work experience.
  • Requires solid experience in object-oriented development, cloud technologies, and data storage technologies (both relational and NoSQL), along with growing experience in system design, performance tuning and optimization, DevOps and CI/CD, test automation and unit testing, and software security.
  • Proficiency in Java, Python, and/or Node.js, with solid object-oriented development and RESTful API design; familiarity with microservices architecture.
  • Working experience with Big Data processing frameworks such as Apache Spark, EMR (Presto, Trino), and Athena.
  • Experience building ETL/ELT pipelines for data ingestion, transformation, and loading, including batch and (ideally) streaming processing.
  • Understanding of data lake and data warehouse patterns - partitioning, schema management, and file formats (Parquet, ORC, Avro) - with SQL performance tuning for analytical workloads.
  • Exposure to workflow orchestration and scheduling (AWS Glue, Step Functions, Airflow) and to data quality, validation, and pipeline monitoring.
  • Relational databases (PostgreSQL, MySQL, Aurora) and working knowledge of NoSQL databases (DynamoDB, MongoDB, Cassandra).
  • Core AWS services (EC2, S3, Lambda, RDS, ECS, API Gateway), CloudWatch/CloudTrail, IAM, and basic VPC networking; exposure to Infrastructure as Code (Terraform/CloudFormation).
  • CI/CD pipelines, test automation and unit testing, and software security best practices.
Preferred Skills :
  • QuickSight for dashboards and data visualization.
  • Frontend applications (React, Angular).
  • GitLab CI/CD exposure.
  • AI development tools (e.g., Amazon Q or similar code assistants), with the ability to validate generated code for correctness, quality, and security, and good judgment about when human review is required.
By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations.

SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
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: sgainc
  • Position Id: 26-02391
  • Posted 3 hours ago

Company Info

About Software Guidance & Assistance

Founded in 1981, SGA is a technology and resource solutions provider with a national footprint and headquartered in the shadow of Wall Street. We’re a certified women-owned business. We provide contingent staffing, direct placement, and professional and managed services to transform businesses and evolve careers. We’re small enough to tailor our services to each client and big enough to deliver for some of the world’s largest employers. Our professionals are experts in areas such as IT, finance, accounting, risk, and clinical.

SGA provides contingent staffing, direct placement, and professional and managed services nationwide for Fortune 500 companies, mid-size businesses and select startups.

Our core skillsets include all areas of technology – business & data analysis, cyber & network security, database administration, development & architecture, infrastructure, program & project management, quality assurance & testing. We also deliver talent across professional business functions such as finance, accounting, risk, and clinical.

Our Professional & Managed Services team delivers IT projects through onshore, offshore and hybrid delivery models. We develop software products, modernize applications, add features, and integrate and maintain systems. Our scope covers, among others, complex application suites, data management and visualizations, machine learning and mobile applications.

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