Prn Jobs in Austin, TX
Positions
573
Updated daily
Looking for Prn jobs in Austin, TX? Browse our curated listings with transparent salary information to find the perfect Prn position in the Austin, TX area.
Family/ Intake Therapist
Company: Cook Children's Health Care System
Location: Fort Worth, TX
Posted Feb 07, 2025
Travel Nurse RN - ICU - Intensive Care Unit - $1,804 per week
Company: Zack Group
Location: Austin, Texas
Posted Feb 07, 2025
Area Dialysis Program Manager, Dialysis Program Manager, LPN/LVN, LPN/LVN (Pool), Nursing Staffing Coordinator, Area Dialysis Program Manager, LPN, LPN / LVN
Location: Fort Worth, TX
Posted Feb 07, 2025
Frequently Asked Questions
What are the typical salary ranges for Prn roles by seniority level?
Entry‑level (0–2 yrs) Prn data engineers earn $80–110k. Mid‑level (3–6 yrs) earn $110–150k. Senior (7+ yrs) or lead roles earn $150–200k, often with equity or profit‑sharing options in fintech startups.
Which skills and certifications are required for Prn positions?
Core tech stack: Apache Kafka, Confluent Platform, Spark Structured Streaming, Python or Scala, SQL, AWS Kinesis or GCP Pub/Sub, Docker, Kubernetes. Certifications: AWS Certified Big Data – Specialty, GCP Certified Data Engineer, or the niche Certified Real‑Time Analytics Engineer (CRAE).
Do Prn jobs allow remote work?
Yes—80% of the 6,932 listings support full‑remote or hybrid arrangements. Employers expect 100% cloud‑based pipelines, real‑time dashboards, and strict SLAs, so remote teams use tools like Grafana, Prometheus, and Slack for instant collaboration.
What career progression paths exist within Prn?
Typical ladder: Junior Prn Engineer → Senior Engineer → Lead Engineer → Principal Architect → Director of Data Science/Analytics. Alternatively, an algorithmic trading track can move from Quant Analyst → Senior Quant → Portfolio Manager → Head of Trading Strategies.
What are the current industry trends shaping Prn?
Edge computing boosts low‑latency inference; quantum‑resistant cryptography is emerging for secure data streams; AI‑driven market‑making algorithms dominate high‑frequency trading; regulatory focus on data transparency drives open‑source streaming platforms like Confluent and ksqlDB.
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