Enhance Our Capabilities 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

Typical salary ranges by seniority
Entry‑level (0‑2 yrs) starts at $90‑$110k, mid‑level (2‑5 yrs) $110‑$140k, senior (5‑10 yrs) $140‑$170k, principal/lead >$170k. These ranges reflect roles like Platform Enablement Engineer, Data Ops Lead, and AI Capability Architect.
Required skills and certifications
Core competencies include Kubernetes, Terraform, Python, CI/CD (GitHub Actions, GitLab), and cloud expertise (AWS Certified Solutions Architect – Associate/Professional, Azure Fundamentals). Advanced roles demand knowledge of Data Mesh, ML Ops frameworks, and security best practices.
Remote work availability
Over 80% of Enhance Our Capabilities listings permit fully remote or hybrid arrangements. Companies prioritize distributed teams and provide VPN, cloud dev environments, and asynchronous communication tools.
Career progression paths
Typical ladder moves from Platform Engineer → Senior Engineer → Lead Engineer → Principal Engineer → Technical Fellow. Parallel tracks include Product Enablement Lead or Data Ops Lead, each with cross‑functional responsibilities.
Industry trends for Enhance Our Capabilities
Key trends are the rise of serverless event‑driven architectures, increased use of GitOps for infrastructure, and the convergence of AI with DevOps (MLOps). Organizations are investing in low‑code platform enablement to speed innovation.

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