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.

Senior Backend Software Engineer

Company: Checkr

Location: San Francisco, CA

Posted Jan 25, 2025

Product Manager, Brand Ads

Company: TikTok

Location: San Francisco, CA

Posted Jan 25, 2025

Premium Protein Specialist

Company: Sysco

Location: San Dimas, CA

Posted Jan 25, 2025

Merrill Private Wealth Supervision Manager

Company: Merrill

Location: San Francisco, CA

Posted Jan 25, 2025

Principal Engineer, Mobile, Earner

Company: Uber

Location: San Francisco, 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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