SZNS Solutions
Data Engineer
Reston, Virginia · Full-time · Posted Apr 17, 2026
- Experience
- 5+ years.
- Education
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- Visa sponsorship
- US Citizen
About the job
Build and operate cloud data pipelines and governed data foundations that support enterprise intelligence, AI workflows, and automated decision-making.
What you'll do
- Architect and deploy pipelines to ingest, transform, and store high-volume data for real-time analysis.
- Build reliable enterprise data stores and production-grade foundations for AI workflows.
- Automate data security, quality, governance, fault tolerance, disaster recovery, and efficiency practices.
What they ask for
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 5+ years of data engineering experience in a cloud environment, progressing from engineering into architectural design.
- Proficiency in SQL and strong programming skills in Python, Rust, or Java; experience with data-processing/streaming frameworks and orchestration tools.
- Experience architecting data stores and schemas for AI workflows (e.g., RAG); active Google Cloud certifications or willingness to obtain them within one month of joining; US Citizen.
Nice to have
- Deep Google Cloud Platform experience, especially Dataflow (Apache Beam), Pub/Sub, BigQuery, and Cloud Composer (Airflow).
- Experience with data modeling across relational, NoSQL, and graph databases; modern data science, machine learning, or Generative AI infrastructure; compliance frameworks; Snowflake or Databricks.
Tools
SQL, Python, Rust, Java, Kafka, Flink, Beam, Spark
AI focus
Architect and optimize production-grade data foundations, stores, schemas, and pipelines for AI workflows, including RAG, and automated decision-making.
Model-written summary · the original posting is authoritative