Data Engineer

Phoenix, AZ, US • Posted 1 day ago • Updated 7 hours ago
Contract W2
On-site
USD $60.97 - 60.97 per hour
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Job Details

Skills

  • Data Engineering
  • Analytics
  • Use Cases
  • Database
  • Meta-data Management
  • Evaluation
  • Streaming
  • Machine Learning Operations (ML Ops)
  • Workflow
  • Training
  • Access Control
  • SQL*Plus
  • Python
  • Scala
  • Cloud Computing
  • Orchestration
  • Unstructured Data
  • Machine Learning (ML)
  • Snow Flake Schema
  • Warehouse
  • Financial Services
  • Regulatory Compliance
  • LangChain
  • LlamaIndex
  • Privacy
  • Artificial Intelligence
  • Recruiting
  • MEAN Stack
  • Customer Service
  • Training And Development
  • SAP BASIS

Summary

Software Guidance & Assistance, Inc., (SGA), is searching for a Data Engineer for a contract assignment with one of our premier Infrastructure Services clients. This role will be remote.

Looking for a Data Engineer to build and maintain the data infrastructure powering our AI/ML initiatives - including data pipelines for model training, retrieval-augmented generation (RAG), and production ML systems. This role sits at the intersection of data engineering and applied AI, ensuring high-quality, well-governed data is available for both traditional analytics and AI consumption.

Responsibilities :
  • Design and build pipelines to ingest, clean, and transform structured and unstructured data (documents, PDFs, transcripts, logs) for AI/ML use cases
  • Build and maintain vector embedding pipelines and support vector database integration
  • Develop feature stores/pipelines for ML model training and inference
  • Implement data pipelines supporting RAG architectures - chunking strategies, embedding refresh cycles, metadata tagging
  • Partner with ML engineers/data scientists to understand data requirements for model training and evaluation
  • Ensure data lineage, quality, and governance across pipelines feeding AI systems
  • Optimize pipelines for cost and performance (e.g., Dynamic Tables, streaming ingestion)
  • Support MLOps/LLMOps workflows - versioning datasets, tracking data used in model training for reproducibility and compliance
  • Implement entitlement/access control logic so AI systems only access data they're authorized to use
Required Skills:
  • Strong SQL + one of Python/Scala for pipeline development
  • Experience with a cloud data platform
  • Experience with orchestration tools (Airflow, dbt)
  • Understanding of embedding models, vector search, and RAG patterns
  • Experience with unstructured data processing
  • Familiarity with ML lifecycle concepts
Preferred Skills:
  • Experience with Snowflake Cortex, Cortex Search, or similar in-warehouse AI tooling
  • Experience in a regulated industry (financial services) with data entitlement/compliance requirements
  • Exposure to LLM application frameworks (LangChain, LlamaIndex)
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.

#LI-PA1
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: 26-02541
  • Posted 1 day 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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