Senior AWS Cloud Data Engineer

Job Title:
Senior AWS Cloud Data Engineer

Location: Dallas, TX

Join Our Team as a Senior AWS Cloud Data Engineer!

Are you passionate about building innovative data solutions in the cloud? We’re seeking a highly skilled Senior AWS Cloud Data Engineer to lead the design, development, and maintenance of cutting-edge data architectures on AWS. If you thrive in a dynamic environment, excel at creating scalable data pipelines, and have a passion for leveraging cloud technologies to solve complex data challenges, this is the opportunity for you!

• Design and Architect Data Lakehouse Solutions: Develop scalable, reliable, and high-performance data lakehouse architectures on AWS, utilizing Apache Iceberg and other AWS services to ensure efficient data management and processing.

• Build and Automate Data Pipelines: Design, construct, and optimize ETL/ELT workflows to ingest, transform, and load data from diverse sources into the AWS ecosystem, ensuring data quality and consistency.

• Develop and Manage Data APIs: Create secure, scalable RESTful APIs using AWS services, enabling seamless data access for internal teams and enterprise applications.

• Leverage AWS Technologies: Utilize a suite of AWS tools—including Amazon S3, EMR, Lake Formation, Lambda, and API Gateway—to process, store, and analyze large-scale data efficiently.

• Manage Apache Iceberg Tables: Build, maintain, and optimize Iceberg tables on Amazon S3 to enable advanced data lake features such as ACID transactions, schema evolution, and time travel.

• Optimize Data Performance: Implement partitioning strategies, data compaction, and fine-tuning techniques to maximize query performance and reduce latency.

• Ensure Data Quality & Security: Implement data validation, error handling, and security best practices using AWS Lake Formation, IAM, and Cognito to maintain data integrity and compliance.

• Collaborate Across Teams: Work closely with data scientists, analysts, software engineers, and business stakeholders to understand requirements and deliver impactful data solutions.

• Provide Technical Support & Documentation: Troubleshoot data pipeline issues, support API functionalities, and maintain comprehensive technical documentation.

Education:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Experience:

• Proven hands-on experience in data engineering within cloud environments, with a strong emphasis on AWS services.

Technical Expertise:

• Programming in Python, Java, or Scala.
• Strong SQL skills for data modeling, querying, and database design.
• Extensive experience with AWS services such as S3, EMR, Lambda, Lake Formation, API Gateway, and IAM.
• Hands-on experience building and managing Apache Iceberg tables on cloud storage.
• Familiarity with big data frameworks like Apache Spark and Hadoop.
• API development, deployment, and security best practices.
• Experience with ETL workflows and orchestration tools like Apache Airflow.
• Knowledge of Dev Ops practices, including CI/CD pipelines and Infrastructure as Code (Terraform) is a plus.

Soft Skills:

• Excellent problem-solving and analytical abilities.
• Strong communication and collaboration skills.
• Ability to work independently and thrive within agile teams.

Certifications (Preferred):

• AWS Certified Data Analytics – Specialty
• AWS Certified Data Engineer — Specialty
• Other relevant AWS certifications.

• Opportunity to work on innovative, large-scale data projects in a leading cloud environment.
• Competitive salary and comprehensive benefits package.
• Career development and continuous learning opportunities to advance your expertise.
• Collaborative team culture with a focus on innovation and impact.

Pay Rate: $85.00 to $91.77 hourly

Ready to make an impact with your cloud data engineering expertise? Apply today and join us in transforming data into strategic business insights in Dallas, TX!