Direct Hire Authority Dha Jobs in San Francisco, CA

444,914 open positions · Updated daily

Looking for Direct Hire Authority Dha jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Direct Hire Authority Dha position in the San Francisco, CA area.

Solution Consultant, Revenue Cycle

Company:

Location: Los Angeles, CA

Posted Feb 06, 2025

Team Manager

Company:

Location: San Marcos, TX

Posted Feb 06, 2025

Operations Manager-CA

Company: CVS Health

Location: San Rafael, CA

Posted Feb 06, 2025

Welder - 3rd Shift

Company: Eaton

Location: Santa Ana, CA

Posted Feb 06, 2025

Patient Care Technician

Company: DaVita

Location: Escondido, CA

Posted Feb 06, 2025

Emergency Department Technician

Company: Banner Health

Location: San Tan Valley, AZ

Posted Feb 06, 2025

Frequently Asked Questions

What are typical salary ranges by seniority for Direct Hire Authority DHA roles?
Entry‑level (0–2 years): $70,000–$90,000. Mid‑level (3–5 years): $90,000–$120,000. Senior (6+ years): $120,000–$160,000. Lead/Manager: $160,000–$200,000.
What skills and certifications are required for Direct Hire Authority DHA positions?
Must‑have skills: Python, SQL, Airflow, dbt, Snowflake, Kubernetes, Terraform. Certifications: AWS Certified Big Data – Specialty, Google Cloud Professional Data Engineer, Snowflake SnowPro Core, Databricks Certified Data Engineer Associate.
Is remote work available for Direct Hire Authority DHA roles?
Approximately 85% of DHA listings offer fully remote or hybrid options. Remote roles typically require 9‑5 UTC+0 alignment, flexible hours, and proficiency with collaboration tools like Slack, Teams, and GitHub.
What are common career progression paths within Direct Hire Authority DHA?
Data Engineer → Senior Data Engineer → Lead Data Engineer → Data Ops Manager → Director of Data Operations. Each step adds responsibilities in architecture, team leadership, and strategic data governance.
What industry trends are shaping Direct Hire Authority DHA roles?
Growing adoption of serverless data warehouses (Snowflake, BigQuery), real‑time streaming (Kafka, Pulsar), AI‑driven data catalogs, increased focus on data privacy (GDPR, CCPA), and demand for cross‑functional data science integration.

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