Data Engineer

Data Engineer

Posted 6 days ago by 1751531804

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Negotiable
Outside
Hybrid
USA
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Amazon Web Services (AWS) Apache Kafka Apache Spark AWS Kinesis Big Data Cloud Computing Cloud Technology Data Analysis Data Engineering Data Governance Data Ingestion Datamodel Data Modeling Data Processing Data Warehousing Extract Transform Load (ETL) Generic Programming Google Cloud Google Cloud Platform (GCP) Information Technology Consulting Python (Programming Language) Scalability Snowflake (Data Warehouse) Software Development SQL (Programming Language)

Summary: The Data Engineer role at Aaratech Inc is designed for candidates with 3 to 4 years of experience in data engineering, focusing on building and maintaining scalable data pipelines and data warehousing solutions. The position involves working with tools such as Apache Spark, Snowflake, and Python to ensure the delivery of reliable data for analytics. This client-facing role emphasizes collaboration with business and technical teams to develop effective data models. Candidates must be U.S. citizens as visa sponsorship is not available.

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

Key Skills:

  • 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, Google Cloud Platform, or Azure

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: Mid-Level

Industry: IT

Detailed Description From Employer:

Data Engineer (3 4 Years Experience) Experience Level: Mid-level (3 4 years) Company: Aaratech Inc
Eligibility: Open to U.S. Citizens and s 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, Google Cloud Platform, 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
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