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Senior Principal Data Engineer Jobs in Delaware (NOW HIRING)

Sr. Principal Software Engineer

Wilmington, DE · On-site

$121K - $167K/yr

... Principal Software Engineer within their Consumer & Community Banking Operations technology ... data sensitivity, and risk-based governance; ability to advise senior leaders on safe adoption ...

Sr. Data Engineer

Wilmington, DE · On-site

$102K - $139K/yr

Our client is seeking an experienced Senior Data Engineer to join their growing data team. This is a contract-to-hire opportunity offering the chance to work on critical data initiatives, including ...

Data Engineer

Wilmington, DE · On-site

$80 - $85/hr

Role: Senior Data Engineer Duration: 6-12+ months RTH Location: Wilmington, Delaware Interview Process: 2 rounds Must Haves: (Java OR Python), Spark, (AWS OR Databricks), Airflow, Relational ...

Senior Data Engineer

Greenville, DE · On-site

$102K - $139K/yr

Job Summary We are seeking a highly skilled Data Engineer to join a team responsible for building and enhancing a large-scale decision platform that drives customer-focused business decisions. The ...

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Senior Principal Data Engineer information

How does a senior principal data engineer typically collaborate with cross-functional teams on large-scale projects?

Senior Principal Data Engineers often serve as technical leaders, working closely with data scientists, software engineers, product managers, and business stakeholders to design and implement robust data architectures. They facilitate communication across teams to ensure data solutions align with both technical requirements and business goals. Collaboration may involve leading design discussions, reviewing code, mentoring junior engineers, and establishing best practices for data quality and scalability. Their role is crucial in bridging gaps between technical and non-technical teams, ensuring successful project delivery.

What is the difference between Senior Principal Data Engineer vs Lead Data Engineer?

AspectSenior Principal Data EngineerLead Data Engineer
CredentialsAdvanced degrees (MSc/PhD), extensive experienceBachelor's or Master's, significant data engineering experience
Work EnvironmentStrategic, architecture design, cross-team collaborationProject execution, team coordination, technical leadership
Industry UsageUsed in large organizations for high-level technical rolesCommon in tech companies and data-driven industries

The Senior Principal Data Engineer focuses on strategic architecture and high-level technical decisions, often working across teams. In contrast, the Lead Data Engineer manages project execution and team coordination. Both roles require strong technical skills, but the Senior Principal typically has more experience and a broader scope of responsibilities.

What are the key skills and qualifications needed to thrive as a senior principal data engineer?

To thrive as a Senior Principal Data Engineer, you need deep expertise in data architecture, data modeling, distributed systems, and strong proficiency in programming languages like Python, Java, or Scala, often supported by a degree in computer science or a related field. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, GCP), and relevant certifications such as AWS Certified Data Analytics or Google Professional Data Engineer is highly valuable. Leadership, strategic thinking, and excellent communication skills help you guide teams and align data solutions with business goals. These capabilities are crucial for designing scalable, robust data infrastructure and driving data-driven decision-making at an organizational level.

What is a senior principal data engineer?

Senior Principal Data Engineers are experienced professionals who design, develop, and oversee large-scale data systems and architectures for organizations. They lead teams in building robust data pipelines, ensure data quality, and implement best practices for data storage, processing, and security. Their role often involves collaborating with data scientists, analysts, and other stakeholders to support data-driven decision-making. They also mentor junior engineers and help set the technical vision for data engineering projects.
What are the most commonly searched types of Principal Data Engineer jobs in Delaware? The most popular types of Principal Data Engineer jobs in Delaware are:
What are popular job titles related to Senior Principal Data Engineer jobs in Delaware? For Senior Principal Data Engineer jobs in Delaware, the most frequently searched job titles are:
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Sr. Principal Software Engineer

JPMorganChase

Wilmington, DE • On-site

$121K - $167K/yr

Full-time

Re-posted 26 days ago


Job description

Job Summary:
JPMorgan Chase is one of the world's leading financial institutions, and they are seeking a Senior Principal Software Engineer within their Consumer & Community Banking Operations technology organization. The role involves delivering system design, application development, and driving innovation in technology products and portfolios while managing senior stakeholder relationships.
Responsibilities:
• Practical experience delivering system design, application development, testing, and ensuring operational stability
• Advises and leads on the strategy and development of multiple products, applications, and technologies across a portfolio
• Creates novel code solutions and drives the development of new production code capabilities across teams and functions
• Sets strategy and operating standards for agentic AI-enabled engineering across a portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI-orchestrated SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency, and reuse across teams and functions.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Translates highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well-informed decisions about technology advancements
• Drives adoption and implementation of technical methods in specialized fields in line with the latest product development methodologies
• Influences across business, product, and technology teams and successfully manages senior stakeholder relationships
• Stays deeply hands-on—writes production code, reviews code and designs, and leads the implementation of critical paths, migrations, and reliability fixes.
• Establishes repeatable engineering mechanisms (reference implementations, golden paths, libraries, templates, playbooks, SLOs, CI/CD controls) that raise the bar across the organization, including strong instrumentation, alerting, incident response practices, post-incident learning, and measurable reliability improvements.
• Ramps quickly into unfamiliar codebases, languages, and platforms to identify the highest-leverage changes, while coaching engineers through reviews, pairing, forums, and incident learning to scale reusable patterns and standards across teams and functions.
Qualifications:
Required:
• Practical experience delivering system design, application development, testing, and operational stability
• Expert in one or more programming language(s)
• Demonstrated experience designing and scaling agentic AI-enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs.Strong understanding of responsible AI use and control expectations at scale, including security/resiliency implications, data sensitivity, and risk-based governance; ability to advise senior leaders on safe adoption, reuse, and measurable outcomes.
• Demonstrated prior experience with influencing across functions and teams and delivering value at scale
• Experience applying expertise and new methods to determine solutions for complex technology problems across various technical disciplines
• Extensive practical cloud native experience
• Strong engineering judgment and pragmatic decision-making—balances technical excellence with delivery timelines, customer outcomes, and operational risk; proven ability to drive alignment through clear technical artifacts (e.g., design docs/decision records) and data-driven tradeoffs.
Preferred:
• Track record of force-multiplying impact by teaching and enabling others (e.g., forums, playbooks, reference implementations) and delivering reusable frameworks/platform capabilities adopted broadly.
• Experience modernizing and operating complex systems (refactoring/decomposition, test modernization, release safety, observability), with measurable improvements in reliability and delivery performance.
• Experience setting portfolio-level engineering standards and mechanisms that improve developer productivity, quality, and operational outcomes.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.