Challenging Opportunities For You To Learn And Grow Professionally Jobs in San Francisco, CA

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Looking for Challenging Opportunities For You To Learn And Grow Professionally jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Challenging Opportunities For You To Learn And Grow Professionally position in the San Francisco, CA area.

Spot Welder II (Swing Shift) Temporary

Company: Vantedge Medical

Location: San Jose, CA

Posted Sep 05, 2025

Our teams work in unison, collaborating and problem-solving to serve the manufacturing needs of the top Medical Original Equipment Manufacturers (OEMs) around…

Senior Accountant (Hybrid)

Company: CV Resources

Location: San Diego, CA

Posted Sep 04, 2025

Backfill core accounting staff rotating to the implementation team. 5+ years of progressive accounting experience, preferably in healthcare, nonprofit, or…

Data Analyst

Company: Hill International, Inc

Location: San Diego, CA

Posted Sep 04, 2025

Performs data analysis and compiles technical reports and findings. Development of thorough test plans, ensuring proper functioning of reports and data…

Mid-Level Data Scientist

Company: BRS

Location: San Antonio, TX

Posted Sep 05, 2025

Bachelor’s Degree, preferably in STEM field such as math, statistics, data science, engineering, IT, or computer science. 3+ years of related experience.

Game Security Analyst (Apex Legends)

Company: Electronic Arts

Location: Los Angeles, CA

Posted Sep 05, 2025

Excellent communication skills, especially translating between individuals with and without strong technical knowledge. Experience with anti-cheat technologies.

HVAC Install Lead

Company: ASI Hastings

Location: San Diego, CA

Posted Sep 05, 2025

Licenses: Valid HVAC technician license and driver’s license. Skills: Strong technical knowledge, excellent problem-solving abilities, attention to detail, and…

Data Analyst - Business Analyst

Company: Super Micro Computer

Location: San Jose, CA

Posted Sep 05, 2025

Utilize tools such as MS Office (Excel, Word, PowerPoint), Smartsheet, and other business analysis tools to document and present findings.

Staff Data Scientist

Company: Intuit

Location: San Diego, CA

Posted Sep 04, 2025

Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.

Frequently Asked Questions

What are typical salary ranges by seniority in these challenging roles?
Junior AI/ML Engineers earn $90k–$110k, mid‑level $120k–$150k, senior $160k–$200k. Cloud Architects start at $110k–$140k, rise to $170k–$210k for senior architects, and can exceed $250k for principal roles. DevOps and Cybersecurity positions follow similar tiered ranges, with senior analysts earning $140k–$180k and experts over $200k.
Which skills and certifications are most demanded?
Core skills include Python, SQL, and version control. AI roles require TensorFlow, PyTorch, and Jupyter. Cloud positions demand AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect Expert, plus Terraform and Kubernetes. Cybersecurity roles favor CISSP, CISM, or CompTIA Security+ and hands‑on experience with SIEM tools like Splunk.
Is remote work available in these positions?
Approximately 70% of the listed roles support full‑remote or hybrid arrangements. Cloud and DevOps offers often allow work-from‑anywhere, while on‑site requirements are rare for AI/ML and data engineering, especially in companies emphasizing agility.
What career progression paths exist?
Typical ladders start at junior engineer → mid‑level → senior → tech lead → principal engineer → engineering manager or VP of Engineering. For cybersecurity, the path is analyst → senior analyst → lead analyst → security manager. Continuous learning and certifications accelerate movement up these tracks.
What industry trends shape these challenging opportunities?
Key trends include AI democratization through AutoML platforms, edge computing for low‑latency inference, cloud‑native security models, and data privacy regulations (GDPR, CCPA). Companies invest heavily in building resilient, scalable infrastructures that integrate AI, data, and security, driving demand for multi‑disciplinary talent.

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