Jobs via Dice
Data Engineer (3-4 Years Experience)
Experience Level:
Mid-level (3-4 years)
Company:
Aaratech Inc
Eligibility:
Open to U.S. Citizens only. No 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.
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 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 such as 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 performance optimization techniques in data processing
Familiarity with cloud platforms such as 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
Experience in seniority level roles (may refer to career progression)
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industries: Software Development
#J-18808-Ljbffr
Mid-level (3-4 years)
Company:
Aaratech Inc
Eligibility:
Open to U.S. Citizens only. No 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.
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 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 such as 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 performance optimization techniques in data processing
Familiarity with cloud platforms such as 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
Experience in seniority level roles (may refer to career progression)
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industries: Software Development
#J-18808-Ljbffr