At The Forefront Of Many Technological Advancements Jobs in Washington DC

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Senior Data Engineer - BankTech

Company: Capital One

Location: Washington DC

Posted Jan 25, 2025

Capital One is seeking a Senior Data Engineer with at least 3 years of experience in application development and 1 year in big data technologies. The role involves collaborating with Agile teams, utilizing various programming languages and cloud-based data warehousing services, and staying updated with tech trends. The ideal candidate should have 5+ years of experience in application development, 2+ years in public cloud, and expertise in distributed data computing tools, NoSQL databases, and UNIX/Linux. The role offers a competitive salary and benefits package, and Capital One is an equal opportunity employer committed to diversity and inclusion.

Frequently Asked Questions

What are the typical salary ranges by seniority for At The Forefront Of Many Technological Advancements roles?
Junior engineers earn $80k–$110k, mid‑level professionals $110k–$160k, senior roles $160k–$210k, and lead/architect positions $210k–$270k. Executive titles can exceed $300k plus equity.
What skills and certifications are required in this category?
Core skills include Python, TensorFlow, PyTorch, and Qiskit for quantum work. Certifications such as AWS Certified Machine Learning, TensorFlow Developer, IBM Quantum, and Certified Kubernetes Administrator add measurable credibility.
Is remote work available for these positions?
Yes, most listings allow full remote or hybrid arrangements. Companies often provide stipends for home‑office equipment and require a reliable 10 Gbps internet connection for edge‑AI development.
What career progression paths exist in this field?
Typical trajectories move from Engineer to Lead Engineer, then to Principal Engineer or Solutions Architect, followed by Director of AI/Edge, and ultimately VP of Emerging Technologies or Chief AI Officer.
What industry trends should professionals in this category watch?
Key trends include the democratization of AI via open‑source frameworks, quantum advantage in cryptography and optimization, edge AI for autonomous systems, and the integration of 5G with low‑latency inference pipelines.

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