AWS Data Engineer

AWS Data Engineer

Location: Houston TX

Duration: 6 months C2H

Interview: Virtual round

Note:

Need LinkedIn profile with proper location

Need local within 1 hour distance or less

Role Overview:

This is a senior individual contributor role focused on designing building and hardening data pipelines within a modern Enterprise Data Lakehouse environment. The primary driver for this hire is improving pipeline stability performance and data quality across the platform.

The Lead designation reflects technical depth and ownership-not people management. You will operate with high autonomy influence platform standards and collaborate closely with both technical teams and business stakeholders.

Key Responsibilities:

• Design build and optimize new and existing data pipelines integrating diverse data sources into a centralized Data Lakehouse
• Troubleshoot performance test and stabilize production data pipelines that support critical business use cases
• Design and enforce data quality frameworks to ensure data correctness trust and reliability
• Translate business and operational requirements into scalable technical solutions
• Tune and optimize SQL performance data models partitioning and compaction strategies
• Support and improve platform performance across ingestion storage and analytics layers
• Work directly with business leaders engineers and operational teams to deliver data-driven solutions
• Apply strong software engineering practices including testing version control CI/CD and deployment standards
• Help establish technical patterns standards and best practices as the data platform continues to evolve
• Mentor other data engineers over time through technical leadership and collaboration

Data Platform & Architecture

• Modern lakehouse architecture (active modernization not greenfield)
• Apache Iceberg / Delta Lake concepts in use
• Snowflake as the primary analytics platform
• S3-based object storage
• Data pipelines consumed by data engineers and data scientists across the organization

Required Qualifications:

• 5 years of experience as an AWS Data Engineer designing and supporting data pipelines
• Strong Python and SQL experience including SQL performance tuning
• Experience owning and supporting production data systems
• Solid software engineering background (development testing version control deployment)
• Experience implementing or working within a Data Lakehouse architecture
• Strong communication skills and comfort working with non-technical stakeholders

Preferred / Nice to Have:

• Hands-on experience with Snowflake (or deep experience with comparable cloud data platforms)
• Experience with AWS and modern data tooling (e.g. Airflow dbt Airbyte)
• Familiarity with Kubernetes concepts (hands-on not required)
• General DevOps exposure and understanding of production deployment models
• Power BI experience
• Background in oil & gas or industrial data environments