Big Data Engineer
Location: Remote
(Interview/Laptop Pickup: San Francisco, CA | Arlington, VA | Denver, CO | Chicago, IL | Boston, MA | New York, NY | Houston, TX | Miami, FL | Los Angeles, CA | Seattle, WA | Dallas, TX | Minneapolis, MN | Birmingham, MI | Irvine, CA)
Duration: 6 10 Months
Interview: In-Person (Interview and laptop pickup at a Designated Client Office)
Top Skills Required:
About:
Client is looking for a strong Big Data Engineer to join their project. If you have a matching candidate, feel free to send them over. Big Data Engineer to design and build scalable data platforms that support advanced analytics and AI-driven use cases. This role focuses on data readiness, enabling efficient data ingestion, transformation, and feature engineering to power downstream applications (AI/ML exposure is a plus but not required).
Responsibility
Build and maintain scalable, high-performance data pipelines to support large-scale data processing and analytics
Enable data ingestion and transformation frameworks for structured and unstructured data across multiple sources
Support feature engineering pipelines to prepare high-quality datasets for analytics and AI/ML use cases
Ensure data quality, reliability, and availability across the data lifecycle
Collaborate with data scientists, analysts, and engineering teams to ensure data is production-ready and accessible
Optimize data workflows for performance, scalability, and cost-efficiency in cloud environments
Contribute to the design of modern data architectures in AWS
Skills & Experience
Strong experience in Big Data technologies (e.g., Spark, Hadoop, Kafka, or similar)
Hands-on experience with AWS data ecosystem (e.g., S3, EMR, Glue, Redshift, Lambda)
Proficient in building ETL/ELT pipelines and data ingestion frameworks
Experience with data modeling, schema design, and large-scale data processing
Strong programming skills in Python, Java, or Scala
Familiarity with feature engineering workflows and data preparation for analytics/AI
Experience with workflow orchestration tools (e.g., Airflow) is a plus
Understanding of data governance, quality, and pipeline monitoring
Big Data Engineer • United States
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