Direct Hire Authority Dha Jobs

672,703 open positions · Updated daily

High demand for data‑ops talent in cloud‑native environments is driving an unprecedented surge in Direct Hire Authority DHA openings. The 1,219 positions listed today reflect the industry’s shift toward real‑time analytics, automated pipeline orchestration, and data‑driven product innovation. Companies are actively seeking professionals who can build scalable pipelines on Snowflake, Databricks, and Kubernetes, and who can deliver insights across AI‑powered dashboards.

Roles within the DHA category include Data Engineer, Data Architect, ETL Specialist, Data Ops Engineer, and Business Intelligence Analyst. Typical responsibilities span end‑to‑end pipeline development, Airflow DAG maintenance, dbt model creation, Snowflake schema design, and performance tuning for high‑volume workloads. Agencies often require proficiency in Python, SQL, Airflow, dbt, and Terraform, along with experience in cloud services such as AWS, GCP, or Azure.

Salary transparency is crucial for DHA professionals because it enables direct comparison of offers from multiple recruiters, ensures parity with industry benchmarks, and supports informed negotiation. Knowing the exact pay range for a Senior Data Ops Engineer or a Lead Data Architect helps candidates prioritize roles that align with their career goals and financial expectations.

Corporate Health Nurse

Company: JPMorganChase

Location: New York, NY

Posted Aug 15, 2025

License & education requirements: Current license to practice as a registered nurse in the state(s) of employment/practice; if eligible, multi-state/ compact RN…

TechnicianI, Injection Mold

Company: Leviton Manufacturing

Location: Bothell, WA

Posted Aug 15, 2025

This position requires 20% clerical and planning and 80% material handling, production assembly machine operations, and/or walking and assisting production…

Principal Software Engineer- PIM

Company: H‑E‑B

Location: San Antonio, TX

Posted Aug 15, 2025

Expert knowledge in system and data architecture, data modeling, and design and capable of architecting and designing at the application or service level using…

RN Labor and Delivery PT Nights

Company: Baylor Scott & White Health

Location: Irving, TX

Posted Aug 15, 2025

A current and valid nursing license. Specialized field of study should be nursing. Must have BLS certification or get it within 30 days of starting in this role…

Lead-Security Officer

Company: Ascension

Location: Austin, TX

Posted Aug 15, 2025

Serve as team leader for assigned security officers to ensure a safe environment for staff and visitors. Investigate, document, and manage security incidents…

Monitor Technician

Company: Kaiser Permanente

Location: Los Angeles, California

Posted Aug 15, 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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