Job Title: Staff Database Engineer (Contractor) Location: Hybrid, Austin, TX Employment Type: Contract Rate: 70-80/hr on w-2 C2C Status: No C2C or third-party candidates Overview We are seeking a seasoned Staff Database Engineer (Contractor) to design, build, and optimize robust data systems across a complex technology environment. This senior-level engineer will lead initiatives in data architecture, scalable pipelines, and operational excellence, playing a key role in the delivery of data solutions across cloud, real-time, and batch platforms. Key Responsibilities • Data Architecture: Design scalable, high-performance architectures for processing, transforming, and analyzing large-scale data. • Pipeline Development: Build and maintain ETL/ELT pipelines using modern tools for data ingestion from flat files, REST APIs, EHR systems, and streaming sources. • Cloud Infrastructure: Support cloud-based environments (data lakes, warehouses, mesh architectures) for real-time and batch processing. • Stakeholder Collaboration: Work cross-functionally with product, engineering, and data science teams to gather requirements and deliver actionable insights. • EHR Integration: Interface with Electronic Health Records (EHRs) and healthcare data standards to ensure accurate, compliant data integration. • System Operations: Own the logging, monitoring, alerting, and incident response for critical data systems. • Coding & Optimization: Use advanced programming (.NET, Java, or Python) and SQL for development and tuning of robust data services. • Documentation & Standards: Develop architectural frameworks and contribute to internal documentation and best practices. • Mentorship & Leadership: Serve as a technical SME, mentoring junior team members and championing engineering excellence. Qualifications • Experience: 7–10+ years in data engineering, software development, or database systems. • Tool Proficiency: Hands-on experience with SSIS and Azure Data Factory (ADF). • Education: Bachelor’s degree in Computer Science, Engineering, or related field—or equivalent practical experience. • Technical Skills: • Expert in SQL and modern data processing frameworks. • Proficient in one or more programming languages (.NET, Java, Python, etc.). • Strong familiarity with Azure, AWS, or GCP. • Experience with streaming/queuing tools like Kafka, RabbitMQ, or AWS SNS/SQS. • Knowledge of CI/CD, Terraform, and container orchestration (e.g., Kubernetes). • Soft Skills: Strong communication, problem-solving, and collaboration skills. • Architecture Knowledge: Familiar with big data patterns (data lake, warehouse, mesh) and API integrations.