Delaware

Engineer Jobs in Delaware

23 jobs found

Include remote jobs

7d ago

Senior Data Engineer

Trivosys Technologies LLC Wilmington, DE

Wilmington, DE

7d ago

$90k - $105k/yr Full time Senior Azure Azure Data Factory

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Job Description

Trivosys Technologies LLC is hiring a Senior Data Engineer to deliver enterprise data integration and migration solutions with a focus on Azure, Azure Data Factory, Snowflake, and Salesforce. This role requires hands-on experience implementing Snowflake-to-Salesforce data migration end to end, along with pipeline development, transformation, and migration validation.

Role Overview

In this position, you will design and implement scalable data pipelines, develop ETL/ELT processes, and lead the migration of data from Snowflake to Salesforce. You will ensure data accuracy and integrity across the migration lifecycle by performing extraction, transformation, mapping, cleansing, validation, and reconciliation. You will also integrate Salesforce data architecture with existing enterprise systems and collaborate with stakeholders and engineering teams to deliver successful outcomes.

Key Responsibilities

Design, develop, and implement scalable data pipelines using Azure Data Factory and Snowflake.
Lead end-to-end data migration initiatives from Snowflake to Salesforce.
Build and maintain robust data integration workflows between enterprise data platforms and Salesforce.
Perform data extraction, transformation, mapping, cleansing, validation, and reconciliation.
Develop optimized SQL queries and ETL/ELT processes to support large-scale data movement.
Integrate Salesforce data architecture with existing enterprise data systems.
Ensure data accuracy, consistency, completeness, and integrity throughout the migration lifecycle.
Identify and resolve data quality issues, pipeline failures, and migration-related challenges.
Implement error handling, logging, monitoring, and recovery mechanisms for data pipelines.
Follow enterprise data governance, security, and compliance standards.
Collaborate with business stakeholders, Salesforce teams, architects, and other engineering teams to deliver migration solutions.
Document technical designs, data mappings, migration procedures, and validation results.

Required Qualifications

12–15 years of overall experience in data engineering.
Strong hands-on experience with Microsoft Azure.
Extensive experience developing and managing Azure Data Factory pipelines.
Strong expertise in Snowflake architecture, SQL, and data processing.
Hands-on experience with Salesforce (SFDC) data architecture and integration.
Proven, hands-on experience migrating data from Snowflake to Salesforce.
Strong knowledge of ETL/ELT processes, data mapping, transformation, and reconciliation.
Experience designing scalable data pipelines and enterprise data integration frameworks.
Strong troubleshooting and analytical skills.
Understanding of enterprise data architecture, data quality, and data governance.

Mandatory Technical Requirement

Candidates must have direct experience implementing Snowflake-to-Salesforce data migration solutions. Candidates whose experience is limited to general data engineering, business intelligence, reporting, or analytics, without significant Snowflake-to-Salesforce migration experience, will not be considered a match.

Technologies

Microsoft Azure
Azure Data Factory (ADF)
Snowflake
Salesforce (SFDC)
SQL
ETL
ELT

Compensation, Location, and Schedule

Salary: USD 90,000 - 105,000 per year
Location: Wilmington, DE (onsite)
Work Location: In person
Relocation: Ability to relocate before starting work is required

How to Apply

Interested candidates should submit an updated resume highlighting relevant experience with Azure Data Factory, Snowflake, Salesforce, and completed Snowflake-to-Salesforce data migration projects.

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11d ago

Senior Software Engineer

System One Seaford, DE 🇺🇸 Remote

Seaford, DE

11d ago

$120k - $140k/yr Full time Senior Software Engineer Software Engineering

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Job Description

System One is hiring a Senior Software Engineer for a remote (offsite) role based in Seaford, DE. In this position, you will help build and maintain software applications that meet performance and quality expectations while working closely with cross-functional partners.

You will also play an active role in team execution, from feature definition and delivery to debugging and ongoing improvements. As part of the engineering team, you will contribute to code reviews and mentor junior engineers.

What You’ll Do

Design, develop, and maintain high-quality software applications.
Collaborate with cross-functional teams to define, design, and ship new features.
Ensure performance, quality, and responsiveness of applications.
Identify and correct bottlenecks, and fix bugs.
Mentor junior team members and contribute to code reviews.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field.
Proven software development experience, preferably in a senior role.
Strong proficiency in relevant programming languages and frameworks.
Excellent problem-solving skills and attention to detail.
Ability to work both independently and collaboratively in a remote environment.

Compensation

USD 120,000 - 140,000 per year.

Benefits

Medical
Dental
Vision
Spending accounts
Life insurance
Voluntary plans
Participation in a 401(k) plan

Work Model and Schedule

Work Model: Remote – offsite
Hours: 40.0

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12d ago

Senior Data Engineer (F/H)

SFEIR Delaware

Delaware

12d ago

Full time Senior Ai Engineer Artificial Intelligence

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Job Description

Contexte : Senior Data Engineer (F/H) pour concevoir et industrialiser des data platforms et des cas Data et IA sur Google Cloud (hybride).

Responsabilités

Architecturer des pipelines data robustes avec Python, SQL, dbt et Airflow
Travailler avec BigQuery, Snowflake, Databricks, Kafka et des briques MLOps
Concevoir la Data Quality, la gouvernance, l’observabilité, l’orchestration et l’optimisation des coûts
Construire des plateformes de données fiables, performantes et évolutives
Contribuer à l’industrialisation des usages IA et Data (Data/AI)
Transformer des datasets complexes en produits data exploitables
Expérimenter de nouveaux usages de l’IA appliqués à la Data (y compris LLM)
Développer des plateformes Data & AI cloud-native sur Google Cloud
Mettre en place des pipelines batch et temps réel à forte volumétrie
Industrialiser des architectures MLOps et LLMOps
Concevoir des systèmes RAG connectés aux données métiers
Intégrer l’IA générative dans des workflows analytics et data engineering
Participer à des projets mêlant Data, IA, Cloud et Software Engineering
Construire des plateformes de données pour les grands acteurs de l’assurance
Accélérer les workflows data
Construire des assistants IA connectés aux données métier
Développer des usages RAG et agents IA
Industrialiser des solutions IA concrètes

Exigences

Architecturer des pipelines data robustes avec Python, SQL, dbt et Airflow
Maîtriser BigQuery, Snowflake, Databricks, Kafka ou des outils MLOps
Penser Data Quality, gouvernance, observabilité, orchestration et optimisation des coûts
Construire des plateformes de données fiables, performantes et évolutives
Participer à l’industrialisation des usages IA et Data
Transformer des datasets complexes en produits data exploitables
Expérimenter des usages de l’IA appliquée à la Data
Comprendre ce qu’il se passe sous le capot (pas seulement lancer des jobs)

Technologies

Python
SQL
dbt
Airflow
BigQuery
Snowflake
Databricks
Kafka
MLOps
Data Quality
Gouvernance
Observabilité
Orchestration
Optimisation des coûts
Google Cloud
Vertex AI
Docker
Kubernetes
APIs LLM
RAG
LLMOps
GenAI

Localisation et organisation

Localisation : Delaware (hybrid)
Localisation : Niort
Rythme : 2 à 3 jours par semaine selon les contextes clients
Mode de travail : hybride, avec télétravail ancré dans la culture
Logique d’équipe : équilibre entre proximité d’équipe et flexibilité

Process de recrutement

Premier échange avec Justine Thiriet
Entretien RH personnalisée
PlayOffs techniques avec des Sfeirien(ne)s
Rencontre avec l’équipe business
Échange final avec le management local

Informations complémentaires

Des échanges réguliers avec ton Engineering Manager
Formations et certifications Google Cloud, Kubernetes et Cloud Native
Accès privilégié aux retours d’expérience issus des partenariats Google Cloud et Anthropic
Communauté Data, IA et Cloud active
Talks, meetups, labs et formations internes toute l’année
Accès à RAISE, plateforme GenAI interne multi-LLM
Culture du partage, de l’architecture et du craft
Revalorisation de salaire chaque année

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25d ago

Vice President, Lead Analytics Engineer

JPMorganChase Newark, DE

Newark, DE

25d ago

Full time Manager Analytics Big Data

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Job Description

Join JPMorgan Chase in Newark, DE as a Lead Analytics Engineer within Risk Management and Compliance (RM&C) Data Analytics & Intelligent Automation. In this onsite role, you will own delivery against an analytics engineering roadmap on Databricks, shaping an end-to-end Lakehouse approach that emphasizes governance, self-service analytics, and executive-ready reporting.

What you’ll do

Architect and implement end-to-end pipelines on Databricks using Delta Live Tables (DLT), Delta Lake, and Unity Catalog to support governance, lineage, and access controls.
Build ingestion and integration pipelines in Python and PySpark, consuming JPMC data products into the Lakehouse; use Alteryx and Prophecy as feeder tools where appropriate.
Design a governed self-service layer in Databricks SQL, including curated semantic models, intuitive views, and controlled exposure for business-led exploration.
Partner with data product owners and data architects to ensure governance, including cataloging, lineage, ownership, and entitlements.
Advise on cloud analytics strategy by onboarding new Databricks users and citizen developers, defining enablement patterns, required entitlements, technical requirements, and governance.
Communicate effectively with senior, non-technical stakeholders, translating data into actionable narratives and decisions.
Deliver executive-ready dashboards and self-service analytics using Tableau and/or Sigma on Databricks-served data.
Use AI tooling such as GitHub Copilot to accelerate development while maintaining independent technical ownership and validating AI-generated code and documentation.

What we’re looking for

Degree or certification in Computer Science, Information Systems, Data Engineering, or a related field, with 7–8+ years of data and analytics engineering or BI experience in a regulated environment.
Hands-on, independent proficiency in ETL and pipeline design, development, testing, and operations.
Hands-on, independent proficiency in Advanced SQL, including writing, optimization, and troubleshooting.
Hands-on, independent proficiency in Python and PySpark, with production-grade implementation experience.
Hands-on, independent proficiency in Databricks Lakehouse architecture, including pipelines, Delta Lake, and Unity Catalog.
Hands-on, independent proficiency in enterprise visualization/BI with Tableau and/or Sigma.
Strong schema and modeling experience for integrated datasets, with practical knowledge of data mesh concepts.
Strong written and verbal communication for senior audiences.
Comfort operating in controlled environments, including change management and access controls with Git, Jules, and ServiceNow.
Customer-centric delivery experience, including requirement negotiation, adoption enablement, and building self-service or citizen-developer platforms.
Experience implementing semantic layers and governed BI models, ideally with Databricks SQL.
Demonstrated experience implementing a Databricks strategy in an enterprise environment, including operating model, governance, onboarding or enablement, and scalable adoption patterns.

Technologies

Databricks, Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks SQL, Databricks Genie, Alteryx, Prophecy, Snowflake, Tableau, Sigma, Python, PySpark, GitHub Copilot, Git, Jules, ServiceNow, AWS

Benefits

Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Preferred qualifications and capabilities

Experience with a secondary platform: Snowflake, Redshift, Oracle, SQL Server, or PostgreSQL.
Hands-on Alteryx and/or Prophecy experience.
AWS experience, especially supporting Databricks.
Prior experience supporting Risk, Compliance, Finance, or Audit functions.
Experience shaping platform strategy, defining standards, or leading an analytics engineering CoE.

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25d ago

Senior Lead Software Engineer Java/Python

JPMorganChase Wilmington, DE

Wilmington, DE

25d ago

Full time Backend Developer Manager Python

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Job Description

JPMorganChase is hiring a Senior Lead Software Engineer to lead end-to-end delivery of cloud-native software solutions in Finance Technology (RAPIDS). This role provides technical coaching across multiple teams while building backend, full-stack, data, and AI/ML capabilities on AWS and Databricks.

Role Overview

As a senior engineering leader, you will set the direction for engineering execution and serve as a technical owner for key services. You will guide teams in scaling enterprise-authorized AI-assisted engineering practices and automation across the Software Development Life Cycle to improve throughput, quality, and operational outcomes.

Key Responsibilities

Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers working on basic to moderately complex tasks
Be accountable for decisions that affect team resources, budget, tactical operations, and execution of processes and procedures
Set and scale operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes, including measurable expectations such as throughput, defect reduction, and reliability
Ensure consistent validation, security, resiliency, and reuse of proven patterns
Use knowledge of Software Development Life Cycle toolchains, including enterprise-authorized AI-assisted development and automation capabilities, to increase efficiency and support capacity unlock initiatives with a focus on reusing existing firm technology assets
Ensure effective collaboration across teams and stakeholders
Identify and mitigate issues to execute the book of work, escalating issues when necessary
Provide input to leadership on budget, approach, and technical considerations to improve operational efficiency and functionality for the team
Lead end-to-end design and development from requirements through production deployment and support
Act as a technical owner for key components and services, driving architecture, code quality, performance, resilience, and security
Build and maintain backend services using Java/Python, including Spring, and modern API patterns
Deliver full stack capabilities with front-end development in React and integration with backend APIs
Design and implement data pipelines and processing solutions using Databricks (Spark-based patterns) and cloud data services
Build cloud-native solutions on AWS, leveraging services such as EMR, Glue, ECS/EKS, RDS, Lambda, and Step Functions
Design, integrate, and operationalize AI/ML and LLM-powered features (for example retrieval workflows, copilots/assistants, and automation) with engineering rigor including testing, monitoring, and governance alignment

Required Qualifications

Formal training or certification on software engineering concepts and 5+ years of applied experience; plus 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise
Experience leading teams of technologists
Ability to guide and coach teams on execution aligned to strategic initiatives
Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance and ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs and outputs
Strong understanding of responsible AI in engineering workflows, including data sensitivity, resiliency and security implications, and control expectations, with the ability to coach managers and influence leaders on safe scaling patterns
Experience with hiring, developing, and recognizing talent
Strong hands-on coding experience with Java and/or Python, including Spring for backend service development
Full stack development experience, including React and modern web development practices
Practical cloud-native engineering experience, including deployment and operations on AWS
Experience with AWS (EMR, Glue, ECS/EKS, RDS, Lambda, Step Functions)
Experience with data engineering/ETL and distributed processing, including Databricks (Spark, jobs/workflows, Delta patterns)
In-depth knowledge of the services industry and their IT systems

Preferred Qualifications

Experience working in a large Banking or Financial Services Technology environment

Technology Focus

Java, Python, Spring
React
Databricks, Spark
AWS: EMR, Glue, ECS, EKS, RDS, Lambda, Step Functions
AI/ML, LLM

Benefits

Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Base salary determined based on the role, experience, skill set, and location
Eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity

Team Information

Corporate Functions at JPMorganChase cover diverse areas including finance and risk, human resources, and marketing. These corporate teams support the company by helping set businesses, clients, customers, and employees up for success.

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29d ago

Senior Software Engineer

State of Delaware Dover, DE

Dover, DE

29d ago

Full time Backend Developer Senior Angular

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Job Description

The State of Delaware’s Department of Technology & Information (DTI) is seeking a Senior Software Engineer in Dover, DE (hybrid) to support complex, multi-tier government systems. In this role, you will plan and deliver software end to end, from requirements and design through coding, testing, debugging, integration, and documentation, while working within a multidisciplinary team.

You will also evaluate user requests for new programs, enhancements, and system integration needs, including off-the-shelf solutions, and help drive feasibility, cost, and timing decisions through research and detailed estimates.

Responsibilities

Lead planning, requirements, design, coding, testing, debugging, system integration, and documentation for software components in complex, multi-tier government systems
Evaluate user requests for new programs, modifications to existing programs, and integration of off-the-shelf products
Conduct research and gather relevant data to determine feasibility, appropriateness, and required cost and time
Prepare detailed estimates to support approval to proceed
Prepare detailed program specifications
Develop software according to approved specifications, and test and debug programs to deliver quality applications
Create system and user documentation
Monitor ongoing program and system performance
Provide training and mentor less experienced team members
Report to the Application Development Manager for the specific application area

Minimum Requirements

Minimum 2 years’ experience supervising a team of technical developers
Minimum 4 years’ experience developing large-scale public facing dynamic Java web applications (Java SDK, Java EE) including the complete software development lifecycle
Minimum 4 years’ experience developing Spring Boot and Angular Java Web applications

Technologies

Java, Java SDK, Java EE
Spring Boot, Angular
SOAP, REST, API
Microsoft Office

DTI and Work Model

DTI is Delaware’s central IT organization committed to providing technology services and collaborative solutions for Delaware, working to improve the lives of Delawareans through advanced technologies that innovate government services
DTI offers a hybrid work policy for employees whose job duties are conducive to working remotely

Selective Requirement

Applicant must possess a high school diploma or GED

Preferred Qualifications

Bachelor’s degree preferred, with emphasis in Computer Science, Information Technology, Telecommunications, Networks, Security, I/T Discipline, or a related field
Professional certifications commensurate with advanced to expert technical capabilities
Minimum 4 years’ experience in web application security standards and best practices for developing secure web applications
Minimum 4 years’ experience in maintenance, configuration, and security of applications, databases, SOAP, REST, API, and other middleware
Minimum 4 years’ experience in IT industry standards and best practices for systems and software development
Minimum 1 year of experience working with Microsoft Office applications and virtual meeting tools

Benefits

Group Health Plan
Dental Plan
Vision Plan
Prescription
Flexible Spending (Health and Dependent Care)
Long & Short Term Disability Insurance
Group Universal Life Insurance
Accident & Critical Illness Insurance
Health Management Programs
21 paid vacation days
15 paid sick days
13 paid holidays
Up to 12 weeks paid Parental Leave
Tuition reimbursement up to $4,000 annually
State funded learning opportunities, mentor programs, and professional development opportunities
Employee Assistance Program, including Professional Counseling Services, Legal Services, and Financial Services
Employer & Employee Funded Pension Plan and an Employee Funded Retirement Savings Plan

Conditions of Hire

Satisfactory fingerprint based criminal background check administered by the Delaware State Police is required as a Condition of Hire
Applicants must be legally authorized to work in the United States
DTI participates in the Federal E-Verify system and will provide Form I-9 information to confirm authorization to work in the U.S.
DTI does not provide employment-based sponsorship
New hires are required to report to the Statewide New Employee Orientation (SNEO) on their first day of employment

Selection Process

Applications and supplemental questionnaires are evaluated based on a rating of education, training, and experience as they relate to the job requirements
Applicants must provide complete and accurate information, including dates of employment, job title, and job duties
After submitting the application online, future correspondence will be sent via email

Accommodations

Accommodations are available for applicants with disabilities in all phases of the application and employment process
Individuals who use TDD may request auxiliary aid or service by calling (800) 232-5470 or by visiting delawarerelay.com
For ADA accommodations or general applicant support, call (302) 739-5458 or email jobs@delaware.gov

Selection Plan: Ongoing application review.

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1mo ago

Radio Frequency Engineer

R&D Manufacturing Company Newark, DE

Newark, DE

1mo ago Closed

Full time Electrical Engineering Antennas Design Engineering

This position is no longer accepting applications (closed Oct 18, 2026).

Job Description

Role overview: RF/Microwave Engineer for onsite development and packaging of RF front-ends supporting transmit and receive systems.

Design & simulation: Create and simulate RF/microwave antenna designs, including integration with LNAs/MPAs that can be cascaded within a compact module package for higher RF gain
Millimeter-wave module layout: Produce design layouts for millimeter-wave up-conversion modules
Integration & packaging: Integrate and package millimeter-wave up-conversion modules in coordination with team members
Testing & diagnosis: Test, characterize, and troubleshoot operational issues across RF/microwave circuits
System optimization: Work with teammates to optimize overall system performance
Continuous improvement: Stay current on leading technical innovations and apply them to improve design and operations

Requirements

Compliance: Must comply with ITAR requirements
Experience: 2+ years in RF/microwave simulation and characterization
Education: BS and/or master’s degree in electrical engineering with an EM background
Simulation tools: Competent with HFSS or equivalent high-frequency microwave circuit simulation tools
Characterization equipment: Experience using VNAs, PSGs, and ESAs
Problem solving: Able to troubleshoot and problem solve independently
Collaboration: Good communication skills and a team working mindset