Direct Hire Authority Dha Jobs in New York City, NY

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Account Supervisor

Company: Creator Deck

Location: New York City, NY

Posted Jan 26, 2025

The Account Supervisor role is a crucial position that involves managing and coordinating projects for various brand partners. Key responsibilities include campaign management, communication and coordination, content oversight and strategy, new business development, and team management. The role requires proficiency in managing timelines, excellent communication skills, an analytical mindset, adaptability, and attention to detail. The salary range is $80K - $120K, and benefits include medical, dental, vision insurance, life insurance, FSA, open time off policy, and a 401K. The company is fully remote, but candidates must reside in specific states.

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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