Senior Data Engineer
OpenkyberTX, United States9 hours ago
Job type
- Full-time
- Quick Apply
Job descriptionExperience with Databricks for data processing and machine learning workflows. Exposure to synthetic data generation. Prior architecture or design responsibilities for enterprise-scale data platforms. Build and maintain data pipelines using AWS Step Functions, Glue, and batch processing frameworks. Design, implement, and optimize data lakes leveraging S3, Lake Formation, and Iceberg. Enable data access and analytics through Athena and other AWS services. Develop automation and deployment workflows using GitHub CI / CD. Write, optimize, and maintain Python-based data services. Ensure solutions are cost-optimized and high-performing within AWS. Collaborate closely with platform, architecture, and data science teams to deliver AI-ready data platforms. Opportunity to work on cutting-edge data and AI initiatives in a collaborative, innovation-driven environment. Competitive compensation and contract extension potential. Hybrid work model (3 days onsite, 2 remote). Exposure to modern AWS, data engineering, and AI technologies in a forward-looking enterprise environment.
Job Title : Senior Data Platform Engineer (2 openings)
Duration : 6+ months
Location : Hybrid 3 days onsite in Malvern, PA
Rate - 70-80 / hour W2 / 80-90 / hour Corp
Introduction
We are seeking two highly skilled Senior Data Platform Engineers to help design and build AI-ready data platforms in AWS. This is a hands-on, technical role ideal for engineers passionate about building scalable, high-performance data systems that power AI and analytics. You'll join a forward-thinking team focused on enabling data-driven insights by developing and optimizing the AWS-based data backbone for the enterprise.
Required Skills & Qualifications
- 8+ years of software development or data platform engineering experience.
- Proven experience building AWS-based data platforms that support AI and analytics.
- Hands-on expertise with key AWS data services, including :
- Step Functions
- Glue (ETL pipelines)
- S3, Lake Formation, Iceberg (data lakes)
- Athena (query engine)
- Strong proficiency in Python for data pipeline automation and scripting.
- Experience with GitHub CI / CD and deployment automation.
- Demonstrated ability to optimize AWS infrastructure for performance and cost.
- Excellent communication and collaboration skills.
Preferred Skills & Qualifications
Day-to-Day Responsibilities
Company Benefits & Culture
#TECH #LI-HYBRID #LI-IL1
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Senior Data Engineer • TX, United States
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