AWS​/Snowflake Data Engineer

Job Title: AWS/Snowflake Data Engineer
Location: Richardson, OK
Type: Contract
Compensation: $90.32
Work Model: Hybrid – onsite and remote
Hours: 40.0
Security Clearance: Not specified

The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data solutions on the Amazon Web Services (AWS) cloud platform, with a strong emphasis on native AWS services, Apache Iceberg-based lakehouse patterns, and Snowflake for cloud data warehousing and analytics. This role will transform raw data into secure, high-quality, reusable datasets and data products that enable analytics, reporting, and operational use cases.

This role involves developing end-to-end data pipelines, managing data lakes and lakehouse architectures using Apache Iceberg, and creating secure, high-performance interfaces/APIs to deliver data products to stakeholders. This is a long-term contract position offering benefits and some extra perks! This role is only seeking American citizens or green card holders at this time.

• Design and develop data architecture (AWS Lakehouse + Snowflake):
  Create scalable, reliable, and efficient data lakehouse solutions on AWS using Amazon S3 and Apache Iceberg, and design curated/consumption architectures in Snowflake to enable performant analytics and governed data sharing.
• Build and maintain data pipelines (native AWS tooling):
  Design, construct, and automate ETL/ELT processes to ingest data from diverse sources into AWS, leveraging native services such as AWS Glue, Lambda, Step Functions, Event Bridge, and orchestration patterns as appropriate.
• Develop and manage Iceberg tables:
  Build and manage Apache Iceberg datasets, including table design, schema evolution, partition strategies, and compaction/maintenance patterns to support ACID-like behavior and scalable analytics.
• Snowflake engineering:
  Design and implement Snowflake objects and pipelines to support analytics and data products (schemas, tables, views), and contribute to patterns for secure and governed consumption.
• Create and manage data APIs / interfaces:
  Design, develop, and maintain secure and scalable RESTful (and other) APIs to facilitate data access for internal teams and applications, typically leveraging AWS services (e.g., API Gateway, Lambda, IAM).
• Optimize performance and cost:
  Implement partitioning strategies, data layout optimization, and tuning techniques across Iceberg and Snowflake; monitor workloads and continuously improve efficiency and runtime performance.
• Ensure data quality and integrity:
  Implement data validation, reconciliation, and error-handling processes; build observability into pipelines so issues are detected early and addressed quickly.
• Collaborate with stakeholders:
  Work closely with analysts, data scientists, software engineers, and business teams to understand data needs and deliver effective, reusable solutions.
• Provide technical support:
  Offer troubleshooting and technical expertise for data-related issues across pipelines, datasets, and endpoints.
• Maintain documentation:
  Create and maintain technical documentation for data workflows, pipelines, dataset definitions, and API specifications.

• Education:
  
  Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience:
  
  Proven experience in data engineering with significant hands-on experience building data solutions on AWS.
• Technical
  
  Skills:
  
  Proficiency in Python, Java, or Scala;
  Strong SQL skills for querying, transformations, and data modeling / database design (including Snowflake SQL);
  Practical experience with AWS services such as S3, Glue, Lambda, API Gateway, and IAM;
  Experience with Apache Spark and Hadoop ecosystems;
  Experience creating and deploying RESTful APIs;
  Experience with workflow orchestration tools (e.g., Airflow or AWS-native orchestration patterns);
  Familiarity with Dev Ops practices, CI/CD pipelines, and infrastructure as code (Terraform).
• Strongly
  
  Preferred Experience:
  
  Hands-on experience building and managing Apache Iceberg tables;
  Snowflake implementation and operation experience, including data modeling for analytics and secure consumption patterns.
• Soft…