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.

Genetic Counselor

Company: City of Hope

Location: Duarte, CA

Posted Jan 25, 2025

Software Engineer

Company: Addison Group

Location: Cupertino, CA

Posted Jan 25, 2025

Manager Programs 2

Company: Northrop Grumman

Location: Palmdale, CA

Posted Jan 25, 2025

Clinical Nutrition Manager IV

Company: Sodexo

Location: San Antonio, TX

Posted Jan 25, 2025

Pharmacy Intern

Company: CVS Health

Location: San Dimas, CA

Posted Jan 25, 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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