Data Engineer

AARATECH; New York (NY); Hybrid; USD 60,000 - 80,000; Full time

Job summary

A specialized IT consulting firm is seeking a Data Engineer in New York, NY. The ideal candidate will have 3-4 years of experience in building and maintaining data pipelines, utilizing tools like Apache Spark and Snowflake. This full-time position offers the chance to work on cutting-edge data projects while collaborating with client teams. Strong SQL and Python skills are essential for success in this role.

Qualifications

• 3–4 years of experience in Data Engineering or a similar role.
• Strong proficiency in SQL and Python.
• Solid understanding of Data Warehousing concepts and architecture.

Responsibilities

• Design and develop scalable Data Pipelines to support batch and real-time processing.
• Implement efficient ETL processes using tools like Apache Spark and dbt.
• Collaborate with business and technical teams to gather requirements and create accurate Data Models.

Skills

SQL

Python

Data Modeling

ETL frameworks

Apache Spark

Snowflake

Tools

Snowflake

Apache Spark

AWS

GCP

Azure

Job description

Base pay range

$60,000.00/yr - $80,000.00/yr

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 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

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