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Data Engineer Government Jobs in Delaware (NOW HIRING)

INENT INC

Chef / IaaS Engineer

Wilmington, DE

... government, education and other industries. Job Title: Chef / IaaS Engineer Location: Wilmington ... Modern Hadoop and Spark based data warehouse. Modern frameworks like Spring Boot/Integration/Batch ...

Dupont

Quality Engineer

Newark, DE · On-site

$70K - $90K/yr

Demonstrated experience in quality auditing, data analysis and use of statistical process control ... US government agency. #LI-DP1 Join our Talent Community to stay connected with us! DuPont is an ...

USM

Openstack Engineer

Wilmington, DE

... SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings ... We are a project-driven firm that reliably meets the IT needs of our State and Government customers ...

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Showing results 1-20

All JobsData Engineer Government JobsData Engineer Government Jobs in Delaware

Data Engineer Government information

See Delaware salary details

$44.5K

$129.8K

$177.7K

How much do data engineer government jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data engineer government in Delaware is $129,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $137,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Engineer Government position, and why are they important?

A successful Data Engineer Government needs strong skills in data architecture, data integration, and programming languages like SQL and Python, usually backed by a degree in computer science or a related field. Familiarity with big data technologies (such as Hadoop or Spark), ETL tools, and certifications like AWS Certified Data Analytics are highly valuable. Excellent problem-solving, attention to detail, and the ability to communicate complex information clearly enhance performance in this position. These abilities are crucial for building secure, efficient data systems that support government decision-making and comply with regulatory standards.

What types of projects do Data Engineers typically work on in government agencies?

Government Data Engineers often work on large-scale data integration, data warehouse development, and the creation of automated pipelines to consolidate and secure public sector information. Projects can include developing platforms for analyzing public records, supporting policy research with reliable datasets, or improving the accessibility of open data for citizens and internal teams. You will frequently collaborate with data analysts, IT staff, and policy experts to ensure data solutions meet both technical requirements and regulatory standards. These projects are impactful, as they help improve public services, streamline government operations, and enhance transparency.

What is a Data Engineer Government job?

A Data Engineer in government is responsible for designing, building, and maintaining data pipelines and infrastructure to support public sector analytics and decision-making. They work with large datasets, ensuring data is collected, stored, and processed efficiently while complying with government regulations and security standards. Their role often involves integrating diverse data sources, optimizing data workflows, and collaborating with analysts and policymakers to derive meaningful insights for public services and policy development.

What are the most commonly searched types of Data Engineer Government jobs in Delaware? The most popular types of Data Engineer Government jobs in Delaware are:
What are popular job titles related to Data Engineer Government jobs in Delaware? For Data Engineer Government jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Engineer Government jobs in Delaware look for? The top searched job categories for Data Engineer Government jobs in Delaware are:
Data Engineer Government jobs near you
Infographic showing various Data Engineer Government job openings in Delaware as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,828 per year, or $62.4 per hour.
Software Engineer III-Databricks

Software Engineer III-Databricks

JPMorgan Chase & Co

Wilmington, DE • On-site

$55.75 - $75/hr

Full-time

Medical, Retirement

Posted 8 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

 
As a Software Engineer III - Databricks at JPMorgan Chase within the Corporate Sector's Enterprise Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. 

Job responsibilities

  • Provides technical leadership across design, development, and troubleshooting for complex, multi-domain solutions; establish engineering standards and best practices for the team 
  • Writes secure, high-quality code in Python and/or Java; conducts reviews and mentors engineers to raise code quality and maintainability
  • Builds data pipelines using Databricks ETL
  • Builds and productionizes cloud-based ML pipelines; drive model deployment and operationalization in collaboration with Data Science and SRE/Platform teams 
  • Owns MLOps workflows; coordinates infrastructure and production changes with SRE; ensures resiliency, observability, and security across the ML lifecycle 
  • Applies SDLC tooling and automation to improve delivery velocity and reliability; champion CI/CD and cloud-native best practices 
  • Partners with Product Owners and business stakeholders to translate requirements into scalable solutions aligned to CCB Finance objectives 
  • Fosters a team culture of diversity, opportunity, inclusion, and respect; model proactive learning in AI/ML and emerging technologies 
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness
  • 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 3+ years applied experience 
  • Hands-on experience in software engineering, system design, application development, testing, and operational stability 
  • Proficiency in Python; strong grounding in secure data practices
  • Hands-on Databricks experience across Delta Lake, Unity Catalog, Workflows, Repos/notebooks, and SQL Warehouses, including cluster configuration and optimization
  • Cloud engineering experience building ML pipelines and deploying models to production with AWS services such as ECS, EMR, Lambda, EC2, SageMaker
  • Experience with PySpark, Kafka, Terraform, and Kubernetes for data processing, streaming, IaC, and container orchestration 
  • Database experience with Oracle and/or Cassandra
  • Familiarity with CI/CD, application resiliency, security best practices, Agile/Scrum methodologies, and SDLC automation tools 
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

Preferred qualifications, capabilities, and skills

  • Background with machine learning frameworks, MLOps practices, and end-to-end ML lifecycle management (feature pipelines, model registry, monitoring, drift detection) 
  • Experience with the Python ML ecosystem (pandas, NumPy) and platforms such as Databricks for data engineering and model development at scale 
  • Experience with ERWIN for data modeling
  • Familiarity with TensorFlow
  • Familiarity with data modeling and query optimization
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

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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