AARATECH
Overview
Full Stack Java Developer with expertise in Java, Spring Boot, React.js, and Oracle DB. 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). Base pay range: $60,000.00/yr - $80,000.00/yr. This range is provided by AARATECH. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. 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. 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 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 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 Seniority level
Associate Employment type
Full-time Job function
Information Technology Industries: IT Services and IT Consulting Note: This posting excludes boilerplate and site-only notices. For job alerts, sign in to set up alerts for “Data Engineer” roles.
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Full Stack Java Developer with expertise in Java, Spring Boot, React.js, and Oracle DB. 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). Base pay range: $60,000.00/yr - $80,000.00/yr. This range is provided by AARATECH. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. 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. 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 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 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 Seniority level
Associate Employment type
Full-time Job function
Information Technology Industries: IT Services and IT Consulting Note: This posting excludes boilerplate and site-only notices. For job alerts, sign in to set up alerts for “Data Engineer” roles.
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