GDH · 7 hours ago
Data Engineer
Houston, TX
Full-time
Onsite
Senior Level
$94/hr - $95/hr
7+ years expGDH is seeking a Senior Data Engineer focused on designing, building, and optimizing large-scale data pipelines and lakehouse architectures. The role involves leading architectural decisions and implementing end-to-end data solutions to support analytics and business intelligence initiatives while collaborating across teams to ensure high performance and data quality.
ConsultingEmploymentStaffing Agency
No H1B
Responsibilities
Design, develop, and maintain ELT pipelines for data ingestion, transformation, modeling, and delivery across different layers (bronze, silver, gold)
Implement incremental data loads, change-data-capture (CDC), merge/upsert, and idempotent workflows to ensure data reliability and repeatability
Define and apply data architectural patterns, including layered lakehouse architectures, domain datasets, and semantic models aligned with business goals
Engineer physical data structures, including partitioning strategies, partition key selection, clustering, micro-partitioning, and data compaction for optimized performance and cost efficiency
Develop curated datasets and data marts that facilitate analytics and self-service business intelligence solutions
Implement data quality frameworks, observability, and lineage tracking through validations, profiling, monitoring, and alerting mechanisms
Optimize data platform performance, particularly on cloud-based systems such as Snowflake, through query tuning, resource sizing, and task management
Design and manage lakehouse table formats (e.g., Apache Iceberg, Delta Lake) on object storage, including schema evolution and maintenance processes
Collaborate with data architects, analytics engineering teams, and stakeholders to translate business requirements into scalable data solutions
Mentor junior engineers, lead design reviews, and contribute to engineering standards, reusable frameworks, and automation efforts using CI/CD and infrastructure-as-code practices
Qualification
Required
7 to 10+ years of experience in data engineering or related software engineering roles with a focus on data systems
Extensive SQL development skills, including advanced query optimization and troubleshooting
Strong proficiency in Python programming, software design principles, unit testing, version control, and refactoring
Experience building and orchestrating ELT/ETL pipelines with tools like Airflow, Astronomer, or similar, along with Git and CI/CD pipelines
Deep knowledge of core data engineering patterns such as data ingestion, transformation, dimensional modeling, slowly changing dimensions (SCDs), and data delivery
Proven expertise in physical database design, partitioning, clustering, and micro-partitioning on cloud data platforms
Experience with data quality frameworks, observability, monitoring, and operational SLAs
Familiarity with Lakehouse table formats (Apache Iceberg, Delta, Hudi) and columnar storage (Parquet) on cloud object storage (e.g., AWS S3)
Effective communication skills to convey complex technical concepts to stakeholders at all levels
Must be legally authorized to work in the United States without employer sponsorship, now or in the future
Company
GDH
GDH is consulting staffing firm that specializes in providing IT engineering-based candidates to commercial and government sectors.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Blaine Caples
Chief Revenue Officer (CRO)
Recent News
Bangkok Post
2025-10-22
2025-04-09
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