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abra

Data engineer

abra Wheaton, Illinois, United States

Internet Marketplace Platforms · 2-10 employees

Oct 06
data-engineer Mid (2-5 yrs) Full-time United States
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About the role

Design, build, and maintain scalable data pipelines and ETL/ELT processes while integrating AI solutions like LLMs and RAG pipelines. Collaborate with data scientists and business stakeholders to develop data models and monitor production environments.

What they look for

Python SQL ETL/ELT Azure AWS GCP Airflow Data Factory Glue dbt Docker LLMs AI Agents RAG Generative AI Spark

Requirements

Requires at least 3 years of experience as a data engineer with strong proficiency in Python and SQL. Candidates must have hands-on experience with cloud platforms, data integration tools, and modern AI technologies.

Full description

abra’s Data & AI Division is looking for Data Engineer to join our team!

We are looking for a Data & AI Engineer to join our growing team and help design, build, and deliver modern Data & AI solutions for enterprise customers.

Full-time | Central Israel

Key Responsibilities

  • Design, build, and maintain scalable Data Pipelines and Data Platforms
  • Develop ETL/ELT processes and cloud-based data solutions
  • Work with structured and unstructured data from multiple sources
  • Build AI-powered solutions including AI Agents, RAG pipelines, and LLM-based applications
  • Integrate AI and Data solutions with enterprise systems using APIs and cloud services
  • Develop data models, data warehouses, and lakehouse architectures
  • Collaborate with Data Scientists, BI teams, and business stakeholders
  • Monitor, optimize, and troubleshoot production environments

Requirements

  • 3+ years of experience as a Data Engineer, Data Developer, or similar role
  • Strong hands-on experience with Python and SQL
  • Experience building ETL/ELT pipelines and data integration processes
  • Experience with Azure, AWS, or GCP
  • Experience with Airflow, Data Factory, Glue, dbt, or similar tools
  • Experience working with APIs, Docker, and cloud-native services
  • Hands-on experience with AI technologies such as LLMs, AI Agents, RAG, and Generative AI solutions
  • Experience with OpenAI, Azure OpenAI, Claude, Bedrock, Vertex AI, or similar platforms
  • Experience with Databricks, Spark, PySpark, Snowflake, or BigQuery – Advantage
  • Strong problem-solving skills and ability to deliver end-to-end solutions

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