Data Engineer: Real-Time AI Pipelines (Hybrid)

Szns Solutions Llc.; Reston (VA); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Hybrid work environment (MWF in-person

Collaborative and innovative work

Continuous learning and development

Job summary

SZNS Solutions, a technology consulting company and Google Cloud Partner based in Reston, VA, is seeking a Data Engineer to turn raw, unstructured data into actionable intelligence and embed with client teams to build data pipelines powering AI workflows. You will design real‑time and batch pipelines, establish a single source of truth, and enable high‑fault‑tolerance systems.

The role requires 5+ years in data engineering, strong SQL and a language such as Python, Rust, or Java, plus experience

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• 5+ years of experience in data engineering, within a cloud environment, demonstrating a clear progression from engineering into architectural design
• Proficiency in SQL and strong programming skills in Python, Rust, or Java
• Experience building and maintaining data pipelines using processing/streaming frameworks (e.g., Kafka, Flink, Beam, Spark) and orchestration tools (e.g., Airflow)
• Experience architecting data stores and schemas for AI workflows (e.g., RAG)
• Active Google Cloud certifications, or willingness to obtain within one month of joining
• Builder mentality and bias for action
• US Citizen

Responsibilities

• ETL/ELT Pipelines: Architect and deploy pipelines to ingest, transform, and store data from high volume, disparate sources for real-time analysis
• Build for the Enterprise: Create a highly reliable single source of truth for enterprise intelligence and enablement
• AI Workflow Enablement: Architect and optimize production-grade data foundations to support high-performance AI workflows and automated decision-making.
• Operations & Governance: Establish and automate strict data security, quality assurance, and governance processes. Design systems for high fault tolerance and rapid disaster recovery
• Efficiency: Design and model for efficient queries, resource usage, workload scheduling, and cost

Job description

SZNS Solutions, a technology consulting company and Google Cloud Partner based in Reston, VA, is seeking a Data Engineer to turn raw, unstructured data into actionable intelligence and embed with client teams to build data pipelines powering AI workflows. You will design real‑time and batch pipelines, establish a single source of truth, and enable high‑fault‑tolerance systems.

The role requires 5+ years in data engineering, strong SQL and a language such as Python, Rust, or Java, plus experience