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Senior Data Engineer

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Robert Half

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Location:
United States , Houston

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Architect and deliver modern data platform solutions with a strong emphasis on Databricks and contemporary cloud data technologies. Build secure, scalable, and high‑performing data environments that enable analytics, reporting, and enterprise‑wide data initiatives.

Job Responsibility:

  • Architect and deliver modern data platform solutions with a strong emphasis on Databricks and contemporary cloud data technologies
  • Build secure, scalable, and high‑performing data environments that enable analytics, reporting, and enterprise‑wide data initiatives
  • Oversee and execute migrations from legacy relational databases into Databricks-based ecosystems
  • Design and structure scalable data pipelines and foundational data infrastructure aligned with organizational goals
  • Create and maintain ETL/ELT processes within Databricks to ensure efficient ingestion, transformation, and delivery of data
  • Continuously refine and optimize data workflows to improve performance, stability, and data quality across all processes
  • Manage end-to-end data transitions to ensure operational continuity with minimal business disruption
  • Monitor Databricks workloads and optimize performance, scalability, and cost efficiency across compute and storage layers
  • Partner with data engineers, scientists, analysts, and product stakeholders to gather requirements and build fit‑for‑purpose data solutions
  • Establish and enforce data engineering best practices, development standards, and architectural guidelines
  • Assess emerging tools and technologies to enhance pipeline efficiency, reliability, and automation capabilities
  • Provide technical direction, guidance, and mentorship to junior engineers and team members
  • Collaborate closely with DevOps and infrastructure teams to deploy, manage, and support data systems in production
  • Ensure all data solutions meet compliance standards, organizational security policies, and regulatory obligations
  • Work with enterprise architects and IT leadership to align data architecture with broader technology strategies and long-term roadmaps

Requirements:

  • Bachelor’s or Master’s degree in Computer Science or equivalent hands‑on experience
  • Deep, hands-on expertise working with Databricks for data engineering, ETL development, and migration initiatives
  • Databricks certifications demonstrating advanced platform proficiency
  • Experience operating within major cloud ecosystems such as AWS, Azure, or Google Cloud
  • Strong foundation in modern big‑data tools, distributed processing frameworks, and large‑scale data technologies
  • Solid understanding of data warehousing principles, dimensional modeling, and advanced SQL development
  • Background working with traditional relational database systems and migrating data from on‑premise RDBMS to cloud-native platforms
  • Proficiency in core programming and scripting languages, especially Python and SQL
  • Strong grasp of data governance concepts, data quality frameworks, and enterprise‑grade security practices
  • Extensive experience with relational databases (e.g., SQL Server) and expertise in database design, schema modeling, and performance considerations
  • Working knowledge of container technologies like Docker and orchestration platforms such as Kubernetes
  • Exceptional analytical and problem‑solving capabilities, paired with strong communication skills and the ability to collaborate across cross‑functional teams
What we offer:
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan

Additional Information:

Job Posted:
March 03, 2026

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