Data Engineer

AARATECH Logo
AARATECH
California, UNITED STATES, United States
60000 - 80000 USD / Year
  • Healthcare
  • FullTime

💼 Data Engineer (3–4 Years Experience)

Employment Type: Full-time (Contract or Contract-to-Hire)

Experience Level: Mid-level (3–4 years)

Company: Aaratech Inc

🛑 Eligibility: Open to U.S. Citizens and Green Card holders only. We do not offer visa sponsorship.

🔍 About Aaratech Inc

Aaratech Inc is a specialized IT consulting and staffing company that places elite engineering talent into high-impact roles at leading U.S. organizations. We focus on modern technologies across cloud , data , and software disciplines. Our client engagements offer long-term stability, competitive compensation, and the opportunity to work on cutting-edge data projects.

🎯 Position Overview

We are seeking a Data Engineer with 3–4 years of experience to join a client-facing role focused on building and maintaining scalable data pipelines , robust data models , and modern data warehousing solutions. You’ll work with a variety of tools and frameworks, including Apache Spark , Snowflake , and Python, to deliver clean, reliable, and timely data for advanced analytics and reporting.

🛠️ Key Responsibilities

  • Design and develop scalable Data Pipelines to support batch and real-time processing
  • Implement efficient Extract, Transform, Load (ETL) processes using tools like Apache Spark and dbt
  • Develop and optimize queries using SQL for data analysis and warehousing
  • Build and maintain Data Warehousing solutions using platforms like Snowflake or BigQuery
  • Collaborate with business and technical teams to gather requirements and create accurate Data Models
  • Write reusable and maintainable code in Python (Programming Language) for data ingestion, processing, and automation
  • Ensure end-to-end Data Processing integrity, scalability, and performance
  • Follow best practices for data governance , security , and compliance

✅ Required Skills & Experience

  • 3–4 years of experience in Data Engineering or a similar role
  • Strong proficiency in SQL and Python (Programming Language)
  • Experience with Extract, Transform, Load (ETL) frameworks and building data pipelines
  • Solid understanding of Data Warehousing concepts and architecture
  • Hands-on experience with Snowflake , Apache Spark, or similar big data technologies
  • Proven experience in Data Modeling and data schema design
  • Exposure to Data Processing frameworks and performance optimization techniques
  • Familiarity with cloud platforms like AWS , GCP , or Azure

⭐ Nice to Have

  • Experience with streaming data pipelines (e.g., Kafka, Kinesis)
  • Exposure to CI/CD practices in data development
  • Prior work in consulting or multi-client environments
  • Understanding of data quality frameworks and monitoring strategies
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