<p><strong>Data Engineer</strong></p><p>On-site | Austin, TX | Contract-to-Hire</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, build, and maintain scalable data pipelines and ETL/ELT processes</li><li>Develop and optimize data architectures for data lakes, warehouses, and analytics platforms</li><li>Ingest, transform, and integrate data from multiple sources (databases, APIs, streaming systems)</li><li>Ensure data quality, reliability, and performance across data systems</li><li>Collaborate with data scientists, analysts, and business stakeholders to support reporting and analytics needs</li><li>Optimize database performance, queries, and data storage strategies</li><li>Implement data governance, security, and compliance best practices</li><li>Automate data workflows and monitoring processes</li><li>Troubleshoot and resolve data pipeline failures and performance issues</li><li>Document data models, workflows, and technical processes</li></ul>
Additional Skills:<br><br>Deep hands-on expertise with dbt (Cloud or Core), including model development, testing, macros, packages, documentation, scheduling, and performance optimization.<br>Strong command of dbt project structure, materializations (including incremental models and snapshots), and integration with BI-owned metric certification and semantic layers.<br>Ability to evaluate when to leverage community dbt packages versus building custom solutions.<br>Expert-level SQL for complex analytical transformations and performance optimization.<br>Strong data modeling skills across dimensional (Kimball), Data Vault, and domain-oriented patterns, including temporal modeling, SCDs, and surrogate keys.<br>Proven judgment in balancing normalization vs. denormalization for performance, flexibility, and downstream analytics use cases.<br>Experience designing and implementing automated data quality testing and validation frameworks.<br>Familiarity with data quality tooling (e.g., Great Expectations) and core data quality dimensions across analytics workflows.<br>Familiarity with modern analytics stacks and how analytics engineering integrates with cloud data platforms, ingestion tools, dbt, and BI systems.<br>Working knowledge of DataOps practices such as version control, CI/CD, and automated testing.<br>Knowledge of K–12 education data domains and metrics, including enrollment, attendance, assessments, staffing, and multi-state reporting requirements.<br>Familiarity with education data privacy (FERPA), academic calendars, and operational rhythms.<br>Proven ability to lead technical teams, facilitate requirements and design discussions, and manage competing stakeholder priorities.<br>Strong communication and change management skills, translating technical capabilities into clear business value. <br> <br><br>Required experience:<br><br>Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, or a related field, or equivalent practical experience.<br>7+ years of experience in analytics engineering, data engineering, data analytics, or closely related technical roles.<br>3+ years of experience in technical leadership or people management, leading analytics, data, or BI teams.<br>Demonstrated hands-on experience with dbt (2+ years) building and maintaining production data models and transformations.<br>Strong data modeling expertise, with a proven track record designing dimensional models, analytics data marts, or business-facing data products.<br>Expert-level SQL skills, including complex analytical queries and performance optimization<br>Experience partnering with non-technical stakeholders to gather requirements and translate them into effective technical solutions.<br> <br>Preferred Education and Experience:<br><br>Master’s degree in Data Science, Statistics, Computer Science, or a related analytical field.<br>dbt Analytics Engineering certification or equivalent demonstrated expertise<br>Hands-on experience with Snowflake or comparable cloud data warehouse platforms.<br>Experience working with K–12 education data, student information systems, or education analytics.<br>Experience building data solutions for multi-state or geographically distributed organizations.<br>Exposure to data governance practices, including business glossaries and data quality frameworks<br>Familiarity with modern data stack tools (e.g., ingestion, orchestration, BI, and data quality platforms).<br>Experience leading analytics teams using Agile or iterative delivery methodologies.
<p><strong>Site Reliability Engineer</strong></p><p>On-site | Austin, TX | Contract-to-Hire</p><p><br></p><p>Robert Half is partnering with an Austin-based client to hire a Site Reliability Engineer. This position offers an exciting opportunity to work with a rapidly growing team, ensuring the reliability, performance, and scalability of critical systems. The ideal candidate will bring technical expertise in Azure infrastructure and scripting languages, along with a proactive approach to automation and problem-solving.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Monitor, maintain, and optimize Azure infrastructure to ensure high performance, availability, and reliability across IaaS, PaaS, and SaaS environments.</li><li>Define, measure, and continuously improve Service Level Indicators (SLIs) and Service Level Objectives (SLOs) using tools such as Azure Monitor, Application Insights, Log Analytics, and API Management.</li><li>Design and develop automation tools and scripts using PowerShell, Bash, Python, and C# to eliminate manual processes and improve operational efficiency.</li><li>Participate in a 24/7 on-call rotation, leading incident response efforts, performing root cause analysis, and implementing long-term preventive and reliability improvements.</li><li>Partner closely with software engineering, QA, and other technology teams to ensure systems meet reliability, scalability, and performance standards.</li><li>Support capacity planning, load testing, and performance tuning initiatives within a microservices architecture built on .NET and React.</li><li>Troubleshoot complex system issues, including integrations with third-party platforms and APIs.</li><li>Create, maintain, and enhance technical documentation, operational runbooks, and system diagrams to support knowledge sharing and operational excellence.</li></ul>
We are looking for a highly skilled Mobile Developer to create and enhance mobile applications designed for enterprise healthcare solutions. This role involves collaborating with cross-functional teams to deliver secure, high-performing mobile apps that integrate with AI-driven platforms and cater to healthcare providers, payers, and life sciences organizations. If you are passionate about leveraging technology to improve healthcare outcomes, we encourage you to apply.<br><br>Responsibilities:<br>• Design and develop native or cross-platform mobile applications for iOS and/or Android, tailored to a B2B SaaS platform.<br>• Collaborate with product managers and UX designers to transform business requirements into user-friendly mobile solutions.<br>• Integrate mobile apps with cloud-based APIs, AI services, and backend systems to ensure seamless functionality.<br>• Implement advanced performance, security, and reliability measures to meet the demands of healthcare-focused environments.<br>• Ensure compliance with data privacy and security standards relevant to the healthcare industry.<br>• Write clean, efficient, and well-documented code, and participate actively in code reviews to maintain high-quality standards.<br>• Monitor, troubleshoot, and optimize mobile applications in live production environments.<br>• Stay updated on the latest trends, tools, and frameworks in mobile development to continuously enhance application performance.<br>• Contribute to the development of CI/CD pipelines for streamlined deployment processes.