Data Engineer

This range is provided by AARATECH. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$60,000.00/yr - $70,000.00/yr

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)

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

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.

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.

• 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 Big Query
• Collaborate with business and technical teams to gather requirements and create accurate Data Models
• Write reusable and maintainable code in Python 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
• 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

Associate

Full-time

Information Technology

IT Services and IT Consulting