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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 for Critical For Us To Understand roles by seniority?
<p><strong>Junior:</strong> $70‑$90k</p><p><strong>Mid‑Level:</strong> $90‑$120k</p><p><strong>Senior:</strong> $120‑$160k</p><p><strong>Lead/Director:</strong> $160‑$200k</p>
What skills and certifications are most valuable?
<p><strong>Technical:</strong> Python, R, SQL, Tableau, Power BI, AWS Data Analytics, GCP BigQuery.</p><p><strong>Certifications:</strong> ISO 27001 Lead Implementer, CCA (Certified Compliance & Ethics Professional), GDPR Practitioner, AWS Certified Data Analytics Specialty.</p>
Is remote work common in this category?
<p>Many companies offer full‑remote or hybrid options. Tech firms, FinTechs, and government contractors frequently support remote teams, provided secure data access and compliance controls are in place.</p>
What career progression paths exist?
<p>Start as a <strong>Policy Analyst</strong> or <strong>Data Analyst</strong>, advance to <strong>Senior Analyst</strong>, then to <strong>Lead Analyst</strong> or <strong>Manager of Data Governance</strong>, and finally to <strong>Director of Compliance & Data Strategy</strong> or <strong>Chief Data Officer</strong>.</p>
What industry trends are shaping Critical For Us To Understand roles?
<p>RegTech adoption, AI ethics frameworks, real‑time data compliance, and the rise of causal inference models for policy impact analysis are driving demand. Companies increasingly invest in automated policy monitoring tools and cross‑functional data‑policy teams.</p>

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