Add your latest resume to match with open positions.
2 results for Cloud Computing Analyst in Austin, TX
- Austin, TX
- onsite
- Temporary to Hire
- 30 - 40 USD / Hourly
- <p>Data Engineer</p><p>On-site | Austin, TX | Contract</p><p><br></p><p>Robert Half is partnering with a financial services organization to hire a Data Engineer in Austin, TX. This contract opportunity is ideal for someone with 3 years of experience building and optimizing modern data pipelines and analytics environments. The role focuses on moving data across cloud-based platforms to support reliable reporting, stronger data visibility, and informed decision-making across the organization.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Build and maintain data pipelines that move information from data lake environments into structured warehouse and reporting platforms.</p><p>• Develop, schedule, and optimize ETL and ELT workflows using Matillion to support dependable data delivery.</p><p>• Design and manage Snowflake data models that improve accessibility, performance, and scalability for business users.</p><p>• Partner with analytics and reporting stakeholders to prepare datasets that support Tableau dashboards and visual insights.</p><p>• Monitor data processing jobs, troubleshoot failures, and resolve quality issues to maintain trusted data assets.</p><p>• Work within AWS-based environments to support secure, efficient, and scalable data integration processes.</p><p>• Collaborate with cross-functional teams to understand data needs and translate them into practical engineering solutions.</p>
- 2026-05-20T00:00:00Z
- Austin, TX
- onsite
- Temporary / Contract
- 57 - 63 USD / Hourly
- We are looking for a Data Engineer to join a long-term contract opportunity based in Austin, Texas. In this role, you will turn high-level data architecture direction into practical engineering solutions that strengthen a warehouse-first approach and improve how data is collected, transformed, governed, and shared. You will work with technical and business partners to build reliable data foundations that support both operational processes and analytics. This position also plays an important part in elevating internal data engineering practices through clear documentation, reusable standards, and hands-on knowledge sharing.<br><br>Responsibilities:<br>• Convert architectural guidance into scalable data pipeline designs and warehouse implementation patterns that support consistent delivery.<br>• Build and maintain workflows that ingest source data, prepare it for downstream use, and organize it across raw, staging, curated, and consumption layers.<br>• Assess integration approaches and recommend when data should move directly between applications versus through the warehouse for better governance and reuse.<br>• Create repeatable standards for orchestration, transformation, testing, monitoring, documentation, and support handoff.<br>• Develop and support cloud data warehouse solutions using Snowflake, Matillion, DBT, or comparable data engineering tools based on platform needs.<br>• Collaborate closely with integration and cross-functional team members to explain technical choices, guide implementation decisions, and strengthen team capability.<br>• Produce clear documentation covering data flows, lineage, dependencies, architecture decisions, and operational expectations.<br>• Deliver hands-on engineering leadership that enables durable solutions without creating long-term dependency on external support.
- 2026-05-20T00:00:00Z