Jobs via Dice
Overview
Aaratech Inc is 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. The role involves delivering clean, reliable data for advanced analytics and reporting using tools such as
Apache Spark ,
Snowflake , and
Python . Eligibility: Open to
U.S. Citizens
and
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. 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 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, 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
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Software Development Referrals increase your chances of interviewing at Jobs via Dice by 2x Get notified about new Data Engineer jobs in
San Francisco, CA . San Francisco, CA $150,000 - $200,000
#J-18808-Ljbffr
Aaratech Inc is 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. The role involves delivering clean, reliable data for advanced analytics and reporting using tools such as
Apache Spark ,
Snowflake , and
Python . Eligibility: Open to
U.S. Citizens
and
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. 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 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, 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
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Software Development Referrals increase your chances of interviewing at Jobs via Dice by 2x Get notified about new Data Engineer jobs in
San Francisco, CA . San Francisco, CA $150,000 - $200,000
#J-18808-Ljbffr