Contract DBA / Data Engineer
Contract DBA / Data Engineer
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Job Description
This role is ideally hybrid and based in Austin TX. This is Contract / Contract To Hire.
Our client is a late-stage health-tech company that is looking to bring AI into their data workflows. If doing DBA work while leveraging AI Tools and automations is of interest wed love to talk!
As a DBA / Data Engineer you will own and optimize our database platforms while building scalable data pipelines modeling systems and analytical infrastructure across AWS and Azure. Youll work at the intersection of data reliability pipeline scalability and AI automationhelping power a high-performing data-driven diagnostic platform.
This role requires someone who can bring deep expertise in database operations and modern data engineering practices while embracing an AI-first mindset to automate and enhance performance observability and efficiency across the data stack. You will be a critical hands-on contributor who builds and maintains the foundational infrastructure that enables our product and engineering teams to move fast securely and intelligently.
Responsibilities:
Database Ownership & Engineering
- Lead operational management of PostgreSQL and MySQL databases hosted in AWS (RDS Aurora) and Azure.
- Ensure database availability performance backups replication and disaster recovery.
- Continuously optimize database queries and indexing to support product performance at scale.
- Implement AI-augmented tooling and automation for monitoring tuning and routine database maintenance.
Data Engineering & Infrastructure
- Design build and maintain scalable data pipelines that support real-time and batch processing.
- Develop data integration workflows across internal and external data sources including APIs and partner systems.
- Support data lake and warehouse infrastructure optimizing for performance and cost-efficiency.
- Define and enforce best practices for data quality lineage and schema governance.
- Enable analytics AI and product teams by delivering trusted well-structured datasets and models.
AI-First Enablement
- Identify opportunities to incorporate AI into data workflows (e.g. anomaly detection data validation pipeline optimization).
- Champion adoption of AI-based tools and automation across database and data engineering operations.
- Experiment with and integrate modern AI agents copilots and models to accelerate data workflows.
Requirements:
- 5 years of experience in a combined Database Administration and/or Data Engineering role.
- Deep experience administering PostgreSQL and MySQL in production cloud-native environments.
- Strong experience building and scaling data pipelines with tools like Airflow DBT or similar.
- Hands-on skills with AWS (including RDS Aurora S3 Glue Lambda) and familiarity with Azure data services.
- Proficient in Terraform and modern CI/CD tools (e.g. GitLab CI/CD).
- Strong scripting ability (e.g. Python Bash) for automation and workflow orchestration.
- Committed to working in an AI-first environmentexcited by rapid learning and tool integration.
- Detail-oriented problem solver who values performance scalability and reliability.
- Collaborative communicative and comfortable in a fast-paced high-growth environment.
Preferred Qualifications:
- AWS or Azure certifications.
- Experience with stream processing (e.g. Kafka Kinesis) and real-time data architecture.
- Familiarity with observability stacks like Prometheus Grafana or Datadog.
- Exposure to security compliance and auditing frameworks (HIPAA SOC2 etc.).
- Passion for modern AI tooling and its impact on data infrastructure and engineering workflows.
#ZR
Employment Type
Contract
