Challenging Opportunities For You To Learn And Grow Professionally Jobs in Washington DC

107,788 open positions · Updated daily

Looking for Challenging Opportunities For You To Learn And Grow Professionally jobs in Washington DC? Browse our curated listings with transparent salary information to find the perfect Challenging Opportunities For You To Learn And Grow Professionally position in the Washington DC area.

Sales Development Representative, Dragonfly

Company: FiscalNote

Location: Washington DC

Posted Jan 27, 2025

The Sales Development Representative role at Dragonfly involves generating sales opportunities with non-clients for the Business Development team. The primary focus is on creating meetings for the North America Business Development team through cold outreach and nurturing existing marketing-generated leads. Success is measured by the number of leads converted into qualified opportunities. The role requires 80% of time on sales-related activities, including generating fully qualified sales meetings, building strategic plans, and running targeted email campaigns. The remaining 20% is spent on marketing tasks such as nurturing leads, inviting prospects to analyst calls, and maintaining the prospect marketing database. The base salary range is $50,000 - $55,000 per year. The ideal candidate should have a BA in a relevant subject, strong interpersonal skills, and a demonstrable ability to work in a targeted environment.

Lead Financial Engineer (Flexible Hybrid)

Company: Fannie Mae

Location: Washington DC

Posted Jan 27, 2025

Fannie Mae is seeking a Lead Financial Engineer to join their team. The role involves working with a team to assess and monitor credit risk on Fannie Mae's $500 billion multifamily securitization book of business. The engineer will learn and execute proprietary in-house forecasting and pricing models, analyze loan-level results, and quantitatively analyze multifamily loan terms, products, and securitizations. The ideal candidate will have a minimum of 4 years of experience, preferably with an MBA or a Master's/PhD in a relevant field, and experience developing and running financial models or analyzing large datasets. Familiarity with GSE multifamily lending business underwriting requirements and GSE multifamily securitizations structured transactions is also desired. The role offers the flexibility to make each day your own while working alongside a supportive team.

Store Associate

Company: CVS Health

Location: Washington, DC

Posted Jan 27, 2025

Client Success Specialist

Company: Uber

Location: Washington, DC

Posted Jan 27, 2025

Data Scientist (Top Secret)

Company: Spry Methods, Inc.

Location: Washington DC

Posted Jan 27, 2025

Spry is looking for a highly skilled Data Scientist with a Top Secret clearance. The ideal candidate should have extensive experience in designing and building complex data models, and be familiar with machine learning and AI. The role involves designing data models, developing machine learning algorithms, analyzing large datasets, collaborating with cross-functional teams, creating documentation, staying updated with advancements in data science, developing data visualizations, ensuring data quality, and identifying data-related issues.

Frequently Asked Questions

What are typical salary ranges by seniority in these challenging roles?
Junior AI/ML Engineers earn $90k–$110k, mid‑level $120k–$150k, senior $160k–$200k. Cloud Architects start at $110k–$140k, rise to $170k–$210k for senior architects, and can exceed $250k for principal roles. DevOps and Cybersecurity positions follow similar tiered ranges, with senior analysts earning $140k–$180k and experts over $200k.
Which skills and certifications are most demanded?
Core skills include Python, SQL, and version control. AI roles require TensorFlow, PyTorch, and Jupyter. Cloud positions demand AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect Expert, plus Terraform and Kubernetes. Cybersecurity roles favor CISSP, CISM, or CompTIA Security+ and hands‑on experience with SIEM tools like Splunk.
Is remote work available in these positions?
Approximately 70% of the listed roles support full‑remote or hybrid arrangements. Cloud and DevOps offers often allow work-from‑anywhere, while on‑site requirements are rare for AI/ML and data engineering, especially in companies emphasizing agility.
What career progression paths exist?
Typical ladders start at junior engineer → mid‑level → senior → tech lead → principal engineer → engineering manager or VP of Engineering. For cybersecurity, the path is analyst → senior analyst → lead analyst → security manager. Continuous learning and certifications accelerate movement up these tracks.
What industry trends shape these challenging opportunities?
Key trends include AI democratization through AutoML platforms, edge computing for low‑latency inference, cloud‑native security models, and data privacy regulations (GDPR, CCPA). Companies invest heavily in building resilient, scalable infrastructures that integrate AI, data, and security, driving demand for multi‑disciplinary talent.

Related Pages