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Databricks Data Engineer
<p><strong>Position: Databricks Data Engineer</strong></p><p><strong>Location:</strong> Remote (U.S. based) — Preference for candidates in or willing to relocate to <strong>Washington, DC</strong> or <strong>Indianapolis, IN</strong> for periodic on-site support</p><p><strong>Citizenship Requirement:</strong> U.S. Citizen</p><p><br></p><p><strong>Role Summary:</strong></p><p>Seeking a Databricks Data Engineer to develop and support data pipelines and analytics environments within an Azure cloud-based data lake. This role translates business requirements into scalable data engineering solutions and supports ongoing ETL operations with a focus on data quality and management.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, build, and optimize scalable data solutions using <strong>Databricks</strong> and <strong>Medallion Architecture</strong>.</li><li>Develop ingestion routines for multi-terabyte datasets across multiple projects and Databricks workspaces.</li><li>Integrate structured and unstructured data sources to enable high-quality business insights.</li><li>Apply data analysis techniques to extract insights from large datasets.</li><li>Implement data management strategies to ensure data integrity, availability, and accessibility.</li><li>Identify and execute cost optimization strategies in data storage, processing, and analytics.</li><li>Monitor and respond to user requests, addressing performance issues, cluster stability, Spark optimization, and configuration management.</li><li>Collaborate with cross-functional teams to support AI-driven analytics and data science workflows.</li><li>Integrate with Azure services including:</li><li>Azure Functions</li><li>Storage Services</li><li>Data Factory</li><li>Log Analytics</li><li>User Management</li><li>Provision and manage infrastructure using <strong>Infrastructure-as-Code (IaC)</strong>.</li><li>Apply best practices for <strong>data security</strong>, <strong>governance</strong>, and <strong>compliance</strong>, supporting federal regulations and public trust standards.</li><li>Work closely with technical and non-technical teams to gather requirements and translate business needs into data solutions.</li></ul><p><strong>Preferred Experience:</strong></p><ul><li>Hands-on experience with the above Azure services.</li><li>Strong foundation in <strong>advanced AI technologies</strong>.</li><li>Experience with <strong>Databricks</strong>, <strong>Spark</strong>, and <strong>Python</strong>.</li><li>Familiarity with <strong>.NET</strong> is a plus.</li></ul>
<p><strong>Job Requirements:</strong></p><p>To be considered for this position, candidates must possess:</p><p><strong>Education & Experience:</strong></p><ul><li>Bachelor’s degree in Computer Science or related field with <strong>3+ years</strong> of experience, or</li><li>Master’s degree with <strong>2+ years</strong> of experience.</li></ul><p><strong>Technical Expertise:</strong></p><ul><li><strong>3+ years</strong> of experience designing and developing ingestion flows for structured, streaming, and unstructured data using cloud platform services, with a focus on data quality.</li><li><strong>Databricks Data Engineer certification</strong> and <strong>2+ years</strong> of experience maintaining the Databricks platform and developing in <strong>Apache Spark</strong>.</li><li>Proficiency in <strong>Python</strong>, <strong>Spark</strong>, and <strong>R</strong>; experience with <strong>.NET</strong> is a plus.</li><li>Strong knowledge of <strong>data governance</strong> practices, including:</li><li>Metadata management</li><li>Enterprise data catalog</li><li>Design standards</li><li>Data quality governance</li><li>Data security</li></ul><p><strong>Client Interaction & Communication:</strong></p><ul><li>Ability to work directly with clients and provide front-line support.</li><li>Skilled in documenting and presenting solutions using architecture and interface diagrams.</li></ul><p><strong>Development Methodologies:</strong></p><ul><li>Experience with <strong>Agile</strong> methodologies.</li><li>Familiarity with <strong>CI/CD automation</strong> and <strong>cloud-based development</strong> (Azure, AWS).</li></ul><p><strong>Preferred Qualifications (Not Required):</strong></p><ul><li>Certifications in <strong>Azure Cloud</strong>.</li><li>Knowledge of <strong>FinOps principles</strong> and <strong>cost management</strong>.</li></ul><p><strong>Eligibility:</strong></p><ul><li>This role will require US Citizenship and the ability to obtain a public trust clearance. No C2C allowed.</li></ul>
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  • Gaithersburg, MD
  • remote
  • Temporary
  • 50.00 - 57.00 USD / Hourly
  • <p><strong>Position: Databricks Data Engineer</strong></p><p><strong>Location:</strong> Remote (U.S. based) — Preference for candidates in or willing to relocate to <strong>Washington, DC</strong> or <strong>Indianapolis, IN</strong> for periodic on-site support</p><p><strong>Citizenship Requirement:</strong> U.S. Citizen</p><p><br></p><p><strong>Role Summary:</strong></p><p>Seeking a Databricks Data Engineer to develop and support data pipelines and analytics environments within an Azure cloud-based data lake. This role translates business requirements into scalable data engineering solutions and supports ongoing ETL operations with a focus on data quality and management.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, build, and optimize scalable data solutions using <strong>Databricks</strong> and <strong>Medallion Architecture</strong>.</li><li>Develop ingestion routines for multi-terabyte datasets across multiple projects and Databricks workspaces.</li><li>Integrate structured and unstructured data sources to enable high-quality business insights.</li><li>Apply data analysis techniques to extract insights from large datasets.</li><li>Implement data management strategies to ensure data integrity, availability, and accessibility.</li><li>Identify and execute cost optimization strategies in data storage, processing, and analytics.</li><li>Monitor and respond to user requests, addressing performance issues, cluster stability, Spark optimization, and configuration management.</li><li>Collaborate with cross-functional teams to support AI-driven analytics and data science workflows.</li><li>Integrate with Azure services including:</li><li>Azure Functions</li><li>Storage Services</li><li>Data Factory</li><li>Log Analytics</li><li>User Management</li><li>Provision and manage infrastructure using <strong>Infrastructure-as-Code (IaC)</strong>.</li><li>Apply best practices for <strong>data security</strong>, <strong>governance</strong>, and <strong>compliance</strong>, supporting federal regulations and public trust standards.</li><li>Work closely with technical and non-technical teams to gather requirements and translate business needs into data solutions.</li></ul><p><strong>Preferred Experience:</strong></p><ul><li>Hands-on experience with the above Azure services.</li><li>Strong foundation in <strong>advanced AI technologies</strong>.</li><li>Experience with <strong>Databricks</strong>, <strong>Spark</strong>, and <strong>Python</strong>.</li><li>Familiarity with <strong>.NET</strong> is a plus.</li></ul>
  • 2025-11-10T22:04:16Z

Databricks Data Engineer Job in Gaithersburg | Robert Half