Junior Big Data Engineer (AI-Forward)

Tysons, VA, US • Posted 1 hour ago • Updated 1 hour ago
Contract W2
On-site
USD $58.00 - 63.00 per hour
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Job Details

Skills

  • Big Data
  • Screening
  • Data Engineering
  • Data Processing
  • Mentorship
  • Technical Drafting
  • Documentation
  • Data Quality
  • Debugging
  • Root Cause Analysis
  • Computer Science
  • Information Systems
  • Research
  • Open Source
  • GitHub
  • Prompt Engineering
  • Prototyping
  • Workflow
  • IDEA
  • Product Demonstration
  • Demonstrations
  • Value Engineering
  • Microsoft Certified Professional
  • Servers
  • Python
  • Writing
  • Git
  • Code Review
  • SQL
  • Apache Spark
  • Amazon S3
  • Databricks
  • Communication
  • Apache Hive
  • Continuous Integration
  • Continuous Delivery
  • Agile
  • Scrum
  • Kanban
  • Blogging
  • Amazon Web Services
  • Financial Services
  • Privacy
  • Artificial Intelligence
  • Recruiting
  • MEAN Stack
  • Customer Service
  • Training And Development
  • SAP BASIS

Summary

Software Guidance & Assistance, Inc., (SGA), is searching for a Junior Big Data Engineer (AI-Forward) for a CONTRACT assignment with one of our premier Regulatory clients in Tysons, VA.

We are seeking an early-career Big Data Engineer who works AI-first. This role is for someone 1-2 years into their career who already treats AI tools as a core part of how they build, not an occasional autocomplete, and who has real projects to show for it.

You will build and maintain data pipelines alongside senior engineers using Spark, Python, and AWS. SQL and coding fundamentals matter, but we're not screening for deep expertise. We'll teach the data engineering. What we can't teach is the instinct to reach for AI, get a working prototype fast, and then have the judgment to know when the output is wrong.

The X factor: you've built something nobody asked you to build, largely with AI assistance, and you can explain both what it does and where the AI got it wrong.

Responsibilities :
  • Build and maintain data processing pipelines using Spark and Python, with mentorship from senior engineers
  • Use AI coding assistants as your default working mode for scaffolding pipelines, generating tests, understanding unfamiliar code, and drafting documentation, then review and validate everything before it ships. You own the output, not the tool
  • Write automated unit and integration tests for data quality, and debug pipeline failures using AI to speed up root-cause analysis
  • Prototype quickly and build small tools that remove repetitive work for the team, turning rough ideas into something runnable in hours rather than weeks
  • Document what you build and share what's working, including prompts, workflows, and AI patterns that made you faster
Required Skills :
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline with 1-2 years of relevant experience. Internships, co-ops, research work, open-source contributions, and substantial personal projects all count. Master's degree may substitute for experience.
AI Skills (Core Requirement)
  • Daily hands-on use of AI development tools such as GitHub Copilot, Q Developer, ChatGPT, Claude, Cursor, or Kiro
  • Prompt engineering: you can get useful output from a vague starting point, and you iterate rather than accepting the first answer
  • Critical validation: you can spot when AI code is subtly wrong, including bad edge-case handling, hallucinated APIs, and plausible-looking logic errors. This is the single most important skill in the role
  • Prototyping speed and workflow design: you've used AI to go from idea to working demo fast, and you've changed how you work to take advantage of it
  • Bonus: experience with AI agents, MCP servers, RAG, or LLM APIs in something you actually built
Technical Skills
  • Solid programming ability in Python, writing clean, readable code you can explain line by line, with comfort using Git and code review
  • Working SQL: joins, aggregations, filtering, and awareness of NULLs and duplicates. Basic is fine
  • Some exposure to Spark and AWS (S3 at minimum) in any setting, including coursework, internship, personal project, or free-tier Databricks, plus a basic grasp of why moving data between machines is expensive
  • Strong communication and fast learning, with the ability to explain a technical problem to someone who wasn't in your head and the instinct to ask for help early
The X Factor
  • At least one project you can walk us through, covering what you built, how you used AI to build it, what broke, and what you'd do differently
  • Something you built or taught yourself because you wanted to, not because it was assigned
  • Comfortable pushing back respectfully, on people and on AI output
Preferred Skills :
  • Exposure to Hive, Trino, or another query engine
  • Experience with CI/CD
  • Prior Agile team experience (Scrum or Kanban)
  • Hackathons, Kaggle, technical blog posts, or AWS certifications
  • Financial Services exposure
#LI-SC1

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: 26-02360
  • Posted 1 hour 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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