Direct Hire Authority Dha Jobs in Washington DC

47,740 open positions · Updated daily

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

Pharmacy Intern

Company: CVS Health

Location: Washington, DC

Posted Jan 27, 2025

Strategic Account Executive-Fed/Gov

Company: Smartsheet

Location: Washington, DC / Remote

Posted Jan 27, 2025

Global Government Affairs Manager

Company: SpaceX

Location: Washington, DC

Posted Jan 27, 2025

Training Manager

Company: Sodexo

Location: Washington, DC

Posted Jan 27, 2025

Patient Care Technician

Company: DaVita

Location: Washington, DC

Posted Jan 27, 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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