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Data Engineer

AARATECH • Full-time • Greater Boston, US • $60k - $80k / year • 3h ago

Data Engineer (3–4 Years Experience)

Location: United States (Remote / On-site – based on client needs)

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