Data Engineer (New York)

Data Engineer (34 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 (34 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 34 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 • 34 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 Apply tot his job