Part Time Jobs in Washington DC

91,374 open positions · Updated daily

Looking for Part Time jobs in Washington DC? Browse our curated listings with transparent salary information to find the perfect Part Time position in the Washington DC area.

Frequently Asked Questions

What are typical salary ranges for part‑time tech roles at different seniority levels?
Junior part‑time developers usually earn $25–$35 per hour, mid‑level engineers range from $35–$55, and senior specialists can command $55–$80 plus performance bonuses. Rates fluctuate by tech stack—Python, JavaScript, AWS, and containerization skills often pull the upper end of these ranges.
Which skills and certifications are most valuable for part‑time tech positions?
High‑demand skills include React/TypeScript for front‑end, Python/Django or Node.js for back‑end, Docker/Kubernetes for DevOps, and automated testing with Selenium or Cypress. Certifications such as AWS Certified Solutions Architect, Certified Scrum Master, or Google Cloud Professional Data Engineer enhance credibility and can justify premium hourly rates.
Is remote work common for part‑time tech jobs?
Yes—over 70% of part‑time tech listings offer remote or hybrid options. Companies often require reliable broadband, a quiet workspace, and availability during core business hours (e.g., 9–5 EST) to coordinate with on‑site teams.
Can part‑time work lead to full‑time opportunities?
Many firms use part‑time roles as a trial period; a successful 3‑month contract can transition into a full‑time position with benefits. Building a portfolio of deliverables and maintaining a strong client relationship increases this likelihood.
What are the current industry trends influencing part‑time tech hiring?
Key trends include the rise of micro‑project teams for AI, low‑code platform development, and continuous integration pipelines. Startups and large enterprises alike seek part‑time talent to experiment with new tech stacks without committing to full‑time hires, driving demand for specialists in machine learning, data engineering, and cybersecurity.

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