AWS Data Engineer

About this role

Title: AWS Data Engineer

Location: Remote

Role Type: Contract

Compensation: $55.31/HR - $63.12/HR on W2

System One is seeking an AWS Data Engineer to design, build, and optimize large-scale data pipelines and analytics solutions on Amazon Web Services (AWS). The role will design and build the infrastructure and pipelines that enable organizations to collect, store, process, and analyze large volumes of structured and unstructured data efficiently and securely.  A Data Engineer is responsible for the end-to-end data lifecycle, from ingestion and transformation to storage and delivery for analytics, machine learning, and operational systems. They ensure data is reliable, high-quality, scalable, and accessible for business and technical stakeholders.


The ideal candidate will have strong expertise in cloud-based data engineering, hands-on experience with AWS native services, and a solid understanding of data lake, data warehouse, and real-time streaming architectures.


Responsibilities:

• Design, build, and optimize ETL/ELT workflows to ingest data from multiple sources. (e.g., S3, Redshift, Lake Formation, Glue, lambda).
• Implement data cleansing, enrichment, and standardization processes.
• Automate batch and streaming data pipelines for real-time analytics.  Build solutions for both streaming (Kinesis, MSK, Lambda) and batch processing (Glue, EMR, Step Functions).
• Ensure pipelines are optimized for scalability, performance, and fault tolerance.
• Optimize SQL queries, data models, and pipeline performance.
• Ensure efficient use of cloud-native resources (compute, storage, networking).

• Design and implement data architecture across data lakes, data warehouses, and lakehouses.
• Optimize data storage strategies (partitioning, indexing, schema design).
• Implement data integration from diverse sources (databases, APIs, IoT, third-party systems).

• Work with Data Scientists, Analysts, and BI developers to deliver clean, well-...