Data Engineer

Get AI-powered advice on this job and more exclusive features. This range is provided by AARATECH. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $60,000.00/yr - $80,000.00/yr Direct message the job poster from AARATECH Full Stack Java Developer | Skilled 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) 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 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 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 Seniority level Associate Employment type Full‑time Job function Information Technology Industries IT Services and IT Consulting #J-18808-Ljbffr