Verified Job On Employer Career Site Job Summary: Simplex is a late-stage health-tech company focused on integrating AI into their data workflows. They are seeking a Contract DBA / Data Engineer who will own and optimize database platforms while building scalable data pipelines and analytical infrastructure across AWS and Azure. Responsibilities: • 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. • 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. • 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. Qualifications: Required: • 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 environment—excited 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: • 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. Company: 10 years in third party agency and corporate recruiting with a specialization in IT/Engineering placements in high tech companies. Founded in 2012, the company is headquartered in Austin, TX, US, with a team of 0-1 employees. The company is currently Early Stage.