Job Title:

Principal Data Engineer Location:

Houston, Texas Type:

Contract Work Model:

Hybrid - onsite and remote Responsibilities Lead delivery of data analytics solutions with emphasis on Azure data lake architecture, Databricks engineering, governance, and operational performance in a high-volume environment. Architect and implement scalable Azure-based data lake solutions. Establish roadmaps across Qlik Replicate, Databricks Delta Live Tables, and Unity Catalog. Lead data transformation pipelines using Delta Live Tables and Structured Streaming. Optimize Databricks resources for performance and cost. Use Unity Catalog for governance, lineage, and metadata management. Establish data governance, security, and quality policies; monitor production pipeline performance. Mentor teams and translate technical challenges into executive-level actions. Requirements 15-17 years IT experience with cloud-based analytics delivery. Proficiency in

Azure:

ADF, ADLS, Databricks, Stream Analytics, Delta Live Tables, Synapse. Advanced SQL plus Python, Scala, or Spark SQL. Experience with scalable ETL pipelines, data workflow optimization, and cloud migration. Azure Data Engineering or Databricks certification preferred.

Nice to have:

Hadoop, Kafka, Spark, Power BI/QlikSense, AI/ML/NLP/GenAI System One, and its subsidiaries including Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. #

LI- Ref:

#404-IT Pittsburgh