SYSTEM SOFT TECHNOLOGIES LLC
SYSTEM SOFT TECHNOLOGIES LLC

Sr. AI Data Engineer

• Posted 1 day ago • Updated 8 hours ago
Contract W2
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Job Details

Skills

  • Extensible Markup Language (XML)
  • Leadership
  • architecture
  • Large Language Models
  • Corporate Security
  • Artificial Intelligence
  • Information Technology
  • Automation of Tests
  • Continuous Integration
  • Computer Programming
  • Data Management
  • Python (Programming Language)
  • Amazon Web Services
  • Apache Kafka
  • Docker
  • Extract Transform Load (ETL)
  • Batch Processing
  • Git
  • Microsoft Azure
  • Data Pipelines
  • Databricks
  • Data Modelling
  • Amazon Redshift
  • Data Governance
  • Machine Learning
  • Cryptography
  • JSON
  • big data
  • Data Integration
  • Azure Data Factory
  • Snowflake
  • BigQuery
  • Apache Spark
  • pyspark
  • Processing of Documents
  • Generative AI
  • Machine Learning Operations
  • Feature Engineering
  • Data Cleansing
  • Airflow
  • DataOps
  • Information Engineering
  • Standard Sql
  • Search Technologies
  • Azure Data Lake
  • Unstructured Data
  • Parquet
  • Vector Databases
  • AWS Glue
  • Avro
  • Retrieval-Augmented Generation
  • Feature Store
  • Enterprise Search
  • ChromaDB
  • FAISS
  • Llamaindex
  • Pinecone

Summary

HYBRID - Charlotte NC

Only W2 - No Corp to Corp

OPEN TO SPONSOSRSHIP

PLEASE NO -OPT'S OR EAD'S

MUST HAVE

  • Programming: Strong Python and SQL skills.
  • Data Engineering: ETL/ELT, data modeling, data integration, batch processing, and streaming pipelines.
  • Big Data Technologies: Apache Spark, PySpark, Kafka, or similar technologies.
  • Cloud Platforms: AWS, Azure, or Google Cloud Platform.
  • Data Platforms: Snowflake, Databricks, BigQuery, Redshift, or Azure Data Lake.
  • AI/ML Data Engineering: Experience preparing datasets for machine learning and AI applications.
  • Generative AI: Understanding of LLMs, RAG architecture, embeddings, document processing, and vector search.
  • Vector Databases: Experience with Pinecone, Weaviate, Chroma, FAISS, or Azure AI Search is desirable.
  • Data Formats: JSON, Parquet, Avro, CSV, XML, and other structured or semi-structured formats.
  • DevOps: Git, CI/CD pipelines, Docker, orchestration, and automated testing.
  • Workflow Orchestration: Airflow, Azure Data Factory, AWS Glue, or similar tools.

Preferred Qualifications

  • Experience building data pipelines for Generative AI and enterprise AI solutions.
  • Familiarity with frameworks such as LangChain or LlamaIndex.
  • Experience with feature engineering, feature stores, and ML data preparation.
  • Knowledge of model serving, MLOps, and data observability.
  • Experience processing unstructured data, including documents, images, and text.
  • Understanding of data governance, PII handling, encryption, and enterprise security.
  • Relevant bachelor's or master's degree in Computer Science, Data Engineering, or a related field.
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: 10118461
  • Position Id: 2026-47054
  • Posted 1 day ago

Company Info

About SYSTEM SOFT TECHNOLOGIES LLC

System Soft Technologies solves the problem of our clients limited IT resources by acting as an extension of their IT team. We design, develop, deliver, and support Enterprise-wide IT solutions for our customers. We invest heavily in innovative technologies and methods as well as in our team of IT professionals.



With over 20 years of experience building long-term client relationships, System Soft Technologies continues to grow in both reputation and success. Our core values include anticipating customer needs and exceeding their expectations.



Although we have over 800 IT associates covering a full spectrum of expertise, we are constantly seeking to add more top IT professionals to our team. If you seek to join a stable, successful firm that can offer you challenging work, competitive pay and lots of benefits then please apply now for immediate consideration.


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