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Data Engineer Data Analyst Jobs in Delaware (NOW HIRING)

Clariant

$69K - $92K/yr

Onsite Clariant is currently looking for an Environmental Engineer - Data & Compliance to support the Catalyst Business Unit at facility in Louisville, KY. In this role, you will help strengthen ...

Td

Data Scientist III - FCRM Risk Modeling

Wilmington, DE · On-site

$96K - $155K/yr

Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that ...

Acro Service Corp

DE · On-site

The incumbent provides technical assistance, conducts data collection and analysis, and documents findings. Responsibilities include evaluating the effectiveness of operations in meeting established ...

City National Bank

Data Quality Analyst

Newark, DE · On-site

$87K - $138K/yr

DATA QUALITY ANALYST WHAT IS THE OPPORTUNITY? The Data Quality Analyst will be responsible for testing data accuracy and performing data analysis and record keeping in order to improve quality of ...

Capital One

Lead Data Engineer (Bank Tech)

Wilmington, DE

$99K - $131K/yr

Lead Data Engineer (Bank Tech) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative ...

Arka Infotech Inc

Data Architect

Wilmington, DE · On-site

$61.75 - $79.50/hr

Wilmington, DE Length: 2 years F2F REQUIRED - 5-7 years prior data analyst experience required - 5+ years experience with Financial Services clients, coordinating others work while involved with ...

Iff

AI & Data Scientist

Wilmington, DE · On-site

At least five years of experience in data science, analytics, data engineering or digital transformation roles. * Strong expertise in data architecture, data modeling and modern data science ...

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Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in Delaware?

For Data Engineer Data Analyst jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in Delaware look for?

The top searched job categories for Data Engineer Data Analyst jobs in Delaware are:

What cities in Delaware are hiring for Data Engineer Data Analyst jobs?

Cities in Delaware with the most Data Engineer Data Analyst job openings:

Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Delaware as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 81% In-person, 7% Hybrid, and 12% Remote job distribution.

Data Owner Vice President - Corporate Sector

JPMorgan Chase & Co.

Newark, DE • On-site

Full-time

Medical, Retirement

Re-posted 17 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 499 frontline employees who took The Breakroom Quiz

72nd of 174 rated banks

Job description


JPMorganChase's Chief Data and Analytics Office is accelerating the firm's data and analytics journey-strengthening data quality, integrity, and security while enabling insights that improve decision-making, productivity, and risk management.
As a Data Owner Lead, Vice President at JPMorganChase within the Corporate Finance and Treasury and Chief Investment Office Chief Data Office (part of Corporate Finance and Corporate Controllers), you will coordinate across data providers and data consumers to ensure business data is clearly defined, fit for purpose, and well governed. You will drive execution of data strategies, improve end-to-end data quality and controls, and help embed a strong, risk-aware data culture that supports innovation and business outcomes.
Job responsibilities
  • Implement data strategies and plans that support business operations and strategic objectives
  • Manage project execution, milestones, and delivery timelines while identifying and mitigating risks, bottlenecks, and inefficiencies
  • Partner with stakeholders to define business data meaning, purpose, and appropriate classification using clear metadata
  • Document requirements for data sourcing, content, and quality, coordinating with technology and business partners to deliver timely and accurate data
  • Develop and oversee processes to identify, monitor, and mitigate data risks across the data lifecycle, including protection, retention, storage, use, and quality
  • Support analytics and data products by identifying, approving, and governing data integrated into analytics platforms
  • Communicate, track, and resolve data issues in a timely and consistent manner to maintain data integrity and trust

Required qualifications, capabilities and skills
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field
  • 6+ years of experience in data management, data governance, risk management, analytics, or a related field
  • Demonstrated leadership experience managing delivery timelines and driving outcomes across multiple stakeholders
  • Strong knowledge of data governance and data lifecycle management, including data protection, data quality, and data classification
  • Strong analytical and problem-solving skills, with ability to translate complex data topics into clear business actions
  • Strong communication skills, including ability to present to both technical and non-technical audiences and senior stakeholders
  • Experience building effective partnerships and influencing across teams to deliver large-scale data initiatives

Preferred qualifications, capabilities and skills
  • Experience with cloud-based data platforms and technologies (such as Amazon Web Services, Microsoft Azure, or Google Cloud)
  • Familiarity with advanced analytics, machine learning, or artificial intelligence in a business context
  • Working knowledge of query or analytical programming languages
  • Experience leading data-enabled change initiatives that improve business processes and efficiency

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.
Global Finance & Business Management works to strategically manage capital, drive growth and efficiencies, maintain financial reporting and proactively manage risk. By providing information, analysis and recommendations to improve results and drive decisions, teams ensure the company can navigate all types of market conditions while protecting our fortress balance sheet.

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