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Splunk Engineer Jobs in Newark, DE (NOW HIRING)

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, you are an integral ... Splunk / Dynatrace / Grafana)â ABOUT US JPMorganChase, one of the oldest financial institutions ...

Backend Java Developer

Newark, DE · On-site

$49.25 - $64/hr

... IntelliJ, Splunk, Dynatrace & Autosys etc o Proficiency in writing complex SQL queries (Oracle/SQL Server) o proficiency in writing complex Unix/Linux scripting o Hands on experience in UI ...

Lead Site Reliability Engineer

Wilmington, DE · On-site

$55.25 - $73.50/hr

... Splunk, etc. * Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins ... Ability to teach new programming languages to team members * Ability to expand and collaborate ...

Java Developer

Wilmington, DE · On-site

$49.50 - $64/hr

Job Summary JPMorgan Chase is seeking an experienced Java Full Stack Developer with strong ... Monitoring and logging tools such as Splunk, ELK, or CloudWatch. * Secure coding practices and ...

Showing results 21-40

Splunk Engineer information

See Newark, DE salary details

$68.4K

$122K

$170.4K

How much do splunk engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for splunk engineer in Newark, DE is $122,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,176.00 and $139,660.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Splunk Engineer?

To thrive as a Splunk Engineer, you need expertise in data analysis, log management, and scripting languages like Python or Bash, often backed by a degree in computer science or related field. Familiarity with Splunk Enterprise, Splunk Cloud, and certifications such as Splunk Certified Power User or Splunk Certified Admin are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you stand out in this position. These skills are crucial for efficiently managing complex data environments, delivering actionable insights, and supporting organizational security and operations.

What is a Splunk engineer's salary?

A Splunk engineer's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in data analysis and security can earn higher compensation, often exceeding $150,000.

Is a Splunk Engineer in high demand?

Splunk Engineers are in high demand due to the increasing need for data analysis, security monitoring, and IT operations management. Skills in Splunk, along with certifications and experience in cybersecurity or system administration, can improve job prospects in various industries.

What are some common challenges Splunk Engineers face when managing large-scale log data environments?

Splunk Engineers working with large-scale log data environments often encounter challenges related to data ingestion bottlenecks, maintaining indexer performance, and ensuring efficient search query execution. Balancing storage management with retention policies and optimizing dashboards for real-time analysis can also be complex. Successful engineers proactively collaborate with IT, security, and development teams to fine-tune data sources, streamline parsing, and implement best practices for scalability, ensuring that Splunk delivers timely and actionable insights.

What is the difference between Splunk Engineer vs Data Analyst?

AspectSplunk EngineerData Analyst
Required CredentialsSplunk certifications, technical degreesStatistics, data analysis certifications, degrees
Work EnvironmentIT/security teams, tech-focused companiesBusiness, marketing, finance departments
Employer & Industry UsageTech, cybersecurity, enterprise ITFinance, healthcare, retail, marketing

Splunk Engineers focus on deploying, configuring, and maintaining Splunk platforms for data monitoring and security. Data Analysts interpret data to generate insights for business decisions. While both roles work with data, Splunk Engineers specialize in technical implementation of Splunk tools, whereas Data Analysts focus on analyzing data to inform strategies.

What is a Splunk Engineer?

A Splunk Engineer is an IT professional who specializes in deploying, configuring, and managing Splunk software for data analysis and monitoring. They are responsible for setting up data ingestion pipelines, creating dashboards, and developing alerts to help organizations monitor their systems and security. Splunk Engineers often work with large datasets to extract meaningful insights, support troubleshooting, and ensure system health. Their expertise is essential for leveraging Splunk’s capabilities in IT operations, security, and compliance.

What job categories do people searching Splunk Engineer jobs in Newark, DE look for?

The top searched job categories for Splunk Engineer jobs in Newark, DE are:

Infographic showing various Splunk Engineer job openings in Newark, DE as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $122,003 per year, or $58.7 per hour.

Lead Software Engineer

J.P. Morgan

Wilmington, DE

Full-time

Medical, Retirement

Re-posted 10 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

  • Design and implement enterprise-grade Machine Learning platforms capable of deploying and running predictive models at scale.
  • Develop web applications using service-oriented and microservices architecture with Java and Python frameworks.
  • Integrate solutions with AWS Cloud Services, including compute, storage, databases, and security components. 
  • Build tools and automation solutions for monitoring, provisioning, and streamlining processes, services, and reporting.
  • Establish comprehensive monitoring and alerting frameworks to ensure optimal performance, scalability, availability, and reliability. 
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. 
  • 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. 
  • Partner closely with Product teams to design, build, and deliver capabilities through agile sprints. 
  • Leverage strong operational insights to recommend improvements to upstream products, processes, and policies that enhance the user experience.
  • Utilize AI agents and emerging technologies to build prototypes for demonstration purposes, presenting to peer groups, business partners, and senior leadership. 
  • Deliver high-quality results within tight deadlines while maintaining a strong focus on code optimization, performance tuning, and engineering best practices.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Experience in building high-volume, low-latency, high-throughput transactional systems.
  • Experience in building microservices using Java/Spring Boot and Python/Fastapi/Flask
  • Experience with AWS services - S3, DynamoDB, ECS, EKS, RDS, Lambda, and ALB/NLB.
  • Experienced with pair programming agents such as GitHub Copilot/Claude code to accelerate prototyping.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. 
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices 
  • Strong knowledge of RDBMS, schema design, SQL, query optimization, indexing, joins, and JDBC.
  • Agile Development experience with SCRUM or similar methodologiesâ
  • Completed AWS Developer or Solution Architect Certificationâ
  • Excellent problem-solving skills and the ability to think critically and creatively

Preferred qualifications, capabilities, and skills

  • Experience in MLOps and building model serving applications
  • Experience with artificial intelligence and machine learning tools and framework in development.â
  • Certification in Databricks
  • Experience in observability and production management tools (ex. Splunk / Dynatrace / Grafana)â

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.