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Software Engineer Trading Firm Jobs in Delaware (NOW HIRING)

Genesis10

Senior Software Engineer - Hybrid

Wilmington, DE · On-site

$66.41 - $74.41/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Genesis10 is currently seeking a Senior Software Engineer - Hybrid position with a Global Financial ... Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years ...

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Showing results 21-40

All JobsSoftware Engineer Trading Firm JobsSoftware Engineer Trading Firm Jobs in Delaware

Software Engineer Trading Firm information

See Delaware salary details

$63.6K

$147.7K

$205.7K

How much do software engineer trading firm jobs pay per year?

As of Aug 16, 2026, the average yearly pay for software engineer trading firm in Delaware is $147,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,100.00 and $173,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a software engineer at a trading firm, and why are they important?

To thrive as a Software Engineer at a trading firm, you need strong programming skills (commonly in C++, Python, or Java), a solid understanding of algorithms and data structures, and at least a bachelor's degree in computer science or a related field. Familiarity with low-latency systems, financial market APIs, and experience with tools like Git and Jenkins are typically required, and certifications in finance or technology can be advantageous. Exceptional problem-solving abilities, attention to detail, and the ability to work collaboratively under pressure are key soft skills for this role. These competencies ensure that you can build efficient, reliable trading systems that respond to market demands in real time and support the firm's competitive edge.

What does a software engineer do at a trading firm?

A Software Engineer at a trading firm designs, develops, and maintains software systems that support trading activities. This includes building high-performance trading platforms, developing algorithms for automated trading, and ensuring low-latency data processing. They collaborate closely with traders, quantitative analysts, and other engineers to create solutions that give the firm a technological edge in the markets. Their work often involves using languages like C++, Python, or Java and working with real-time data feeds and large-scale distributed systems. The role requires strong problem-solving skills and a deep understanding of both technology and financial markets.

How does a software engineer at a trading firm typically collaborate with traders and quantitative analysts?

As a Software Engineer at a trading firm, you will frequently work closely with traders and quantitative analysts to design, develop, and refine trading systems. Collaboration often involves understanding trading strategies, implementing algorithmic models, and ensuring low-latency performance. Regular communication is essential, as you may need to quickly adapt code based on market changes or new requirements. This cross-functional teamwork fosters a dynamic environment where your technical skills directly impact trading outcomes and business success.

What is the difference between Software Engineer Trading Firm vs Quantitative Analyst?

AspectSoftware Engineer Trading FirmQuantitative Analyst
Required CredentialsBachelor's/Master's in CS, Engineering, or related fields; coding skillsDegree in Math, Statistics, or Finance; strong analytical skills
Work EnvironmentCollaborative, fast-paced trading floor or tech teamsResearch-focused, data-driven analysis teams
Employer & Industry UsageFinancial firms, hedge funds, trading firmsInvestment banks, hedge funds, asset management
Common Search & ComparisonOften compared for technical skills and coding rolesCompared for analytical and modeling expertise

While both roles operate within trading firms, Software Engineers focus on developing trading systems and infrastructure, whereas Quantitative Analysts primarily build models and analyze data to inform trading strategies. Both roles require strong technical skills but differ in their core responsibilities and focus areas.

What are popular job titles related to Software Engineer Trading Firm jobs in Delaware?

For Software Engineer Trading Firm jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Software Engineer Trading Firm jobs in Delaware look for?

The top searched job categories for Software Engineer Trading Firm jobs in Delaware are:

What cities in Delaware are hiring for Software Engineer Trading Firm jobs?

Cities in Delaware with the most Software Engineer Trading Firm job openings:

Software Engineer Trading Firm jobs near you
Infographic showing various Software Engineer Trading Firm job openings in Delaware as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $147,651 per year, or $71 per hour.

Lead Software Engineer - Databricks

JPMorgan Chase & Co.

Wilmington, DE • On-site

Other

Medical, Retirement

Re-posted 8 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

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-Databricks at JPMorgan Chase within our Corporate Sector's Enterprise Technology team, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
  • Lead the architecture and delivery of high-throughput, low-latency data pipelines on Databricks using Apache Spark (Core, SQL, Structured Streaming), driving performance, reliability, and scalability.
  • Establish and evolve Lakehouse patterns with Delta Lake (ACID transactions, schema evolution, time travel, Z-ordering, compaction) to ensure performant, maintainable data platforms at scale.
  • Own Databricks cluster strategy and configuration, including runtime selection, autoscaling, driver/executor sizing, Spark configurations, init scripts, cluster policies, pools, and instance profiles.
  • Orchestrate and automate pipelines and jobs using Databricks Workflows, integrating with AWS eventing and orchestration services as needed.
  • Design secure ingestion and transformation frameworks leveraging Databricks services, including Delta or unmanaged table design, ingestion task creation, and Airflow DAGs to produce trusted and refined datasets.
  • Enforce data quality, lineage, and governance using Unity Catalog and/or AWS Glue Catalog, embedding expectations and validation directly into pipelines.
  • Drive Spark and Databricks performance engineering and tuning (partitioning and file sizing, AQE, broadcast joins, shuffle tuning, caching, spill/memory control, job right-sizing, and liquid clustering/partitioning keys) to optimize cost and throughput.
  • Build and maintain reusable libraries, frameworks, and APIs in Python and/or Java, ensuring strong unit, integration, and data validation test coverage.
  • Implement CI/CD for data projects using Git-based workflows, Terraform-based infrastructure deployments and environment promotion, and automated releases; champion engineering standards, code reviews, and enterprise-authorized AI-assisted engineering practices (e.g., code review/refactoring, test acceleration, and incident/root-cause analysis) with consistent validation (secure coding, peer review, automated testing) and reuse of proven patterns.
  • 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.
    Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Advanced experience in software engineering and data engineering, including significant production delivery with Apache Spark on Databricks and/or AWS EMR.
  • Advanced hands-on Databricks expertise across Delta Lake, Unity Catalog, Workflows, Repos/notebooks, and SQL Warehouses, including cluster configuration and optimization.
  • Proven ability to architect, build, and operate reliable ETL/ELT data pipelines (batch and streaming), including schema design/evolution, SLAs, and reliability engineering practices.
  • Deep Spark performance tuning skills, with experience diagnosing bottlenecks and optimizing jobs for scalability, cost, and runtime efficiency.
  • Strong programming proficiency in Python and/or Java for data processing, platform tooling, and automation.
  • Strong SQL and analytics data modeling expertise, including dimensional/star schema design and Lakehouse best practices.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (coding, code review, test acceleration, troubleshooting), including setting team expectations and validation standards for correctness, performance, and security of AI outputs.
  • Strong responsible-AI and security-first engineering mindset, including data sensitivity awareness, secure handling of inputs/outputs, roles/instance profiles, secrets management, encryption at rest/in transit, network controls, and adherence to resiliency and security expectations; experience coaching teams on safe, compliant adoption within delivery practices.
  • 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
    Preferred qualifications, capabilities, and skills
  • Experience with Delta Live Tables and advanced governance (catalogs, grants, auditing) in Databricks.
  • AWS networking knowledge (VPC, subnets, routing, security groups) and data egress controls.
  • Experience with Terraform for Infra deployments
  • Cost optimization experience: autoscaling strategies, spot vs on-demand, auto-termination, storage layouts and compaction.
  • Familiarity with Airflow, Genie, Streamlit and React
  • Observability for data systems (freshness/completeness metrics, lineage, SLAs, alerting).
  • Demonstrated leadership in code quality, reviews, testing strategy, CI/CD, and technical mentorship; excellent communication with stakeholders.

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.

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