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Data Analytics Engineer Jobs in Delaware (NOW HIRING)

Agilent

Advanced Data Analyst

Wilmington, DE · On-site +1

$74K - $139K/yr

Collaborate across IT, data engineering, and business teams to align on data architecture and priorities. * Act as a trusted advisor to drive data literacy and adoption of new analytics platforms

Agilent

Advanced Data Analyst

Wilmington, DE · On-site

$74K - $139K/yr

Collaborate across IT, data engineering, and business teams to align on data architecture and priorities. * Act as a trusted advisor to drive data literacy and adoption of new analytics platforms

H Vac

Senior Data Engineer

Newark, DE

$103K - $140K/yr

Senior Data Engineer Essential Duties and Responsibilities: * * Actively work with business and ... Build Data models and assist the BI Analyst to offer data-driven insights * Design data models and ...

New

Tech Impact

Data Engineer Fellowship

Wilmington, DE

$40/hr

Our mission is to develop novel data and analytics approaches that can disrupt the status quo and ... As a Data Engineer, you will work with our partners to develop and deploy production-grade ...

Mwe

Pricing Data Engineer

Wilmington, DE

$110K - $169K/yr

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ... Develop and manage data pipelines and queries to support pricing analysis and reporting * Modernize ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Delaware

Data Analytics Engineer information

See Delaware salary details

$44.5K

$129.8K

$177.7K

How much do data analytics engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data analytics engineer 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.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

What are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Delaware? The most popular types of Data Analytics Engineer jobs in Delaware are:
What are popular job titles related to Data Analytics Engineer jobs in Delaware? For Data Analytics Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Delaware look for? The top searched job categories for Data Analytics Engineer jobs in Delaware are:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Delaware as of July 2026, with employment types broken down into 1% Internship, 92% Full Time, 5% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $129,828 per year, or $62.4 per hour.
Marketing Analytics Vice President Card Data Analytics

Marketing Analytics Vice President Card Data Analytics

JPMorgan Chase & Co

Wilmington, DE

Full-time

Medical, Retirement

Posted 7 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

60th of 150 rated banks

Job description

Join our Card Data & Analytics Team as a Quant Analytics Vice President and play a pivotal role in shaping the future of our credit card business. This position offers significant career growth, skill development, and the opportunity to drive impactful business decisions through advanced marketing analytics. You'll collaborate with talented colleagues and contribute to innovative solutions that enhance customer engagement and business performance. 

As the Quant Analytics Vice President withing the card data analytics, you will lead the delivery of analytics and insights to inform strategies and drive critical business decisions related to digital marketing, customer journeys, segmentation, and targeting. You will work closely with cross-functional teams, leverage data from large SQL and AWS databases, and communicate findings to stakeholders to translate insights into measurable actions. You will partner across the credit card organization to understand business needs, create solutions, and champion analytics best practices. Your leadership will support long-term data models and facilitate holistic, cross-functional learning, ensuring high data quality and reduced redundancy. 

You will have the opportunity to collaborate with analytic and non-analytic groups, influence marketing strategy and investment decisions, and drive the adoption of best practices in data and analytics. This role is ideal for an innovative leader who thrives in a dynamic environment and is passionate about leveraging data to deliver measurable business outcomes. 

Job responsibilities 

  • Establish and foster partnerships across the organization to understand marketing objectives and business requirements 

  • Lead the creation and execution of solutions to pull and combine data from multiple sources for customer behavior analytics, campaign measurement, and reporting 

  • Analyze customer journeys, digital engagement, and campaign performance to identify actionable insights 

  • Develop and implement customer segmentation and targeting strategies to optimize marketing effectiveness 

  • Communicate insights to senior leaders via written and oral presentations, influencing marketing strategy and investment decisions 

  • Collaborate with analytic and non-analytic groups to facilitate holistic, cross-functional learning 

  • Champion data and analytics best practices across the marketing organization 

  • Translate business needs into data models supporting long-term marketing solutions 

    • Facilitate the creation of data models using best practices to ensure high data quality and reduced redundancy 

    Required qualifications, capabilities, and skills 

    • Master's degree in a relevant quantitative field (e.g., Statistics, Economics, Marketing Analytics, Mathematics, Engineering, Computer Science, or related fields) 

    • 6+ years of industry experience in marketing analytics roles (e.g., digital analytics, campaign measurement, customer insights) 

    • 6+ years of work experience across a broad range of analytics platforms, languages, and tools (Snowflake, Alteryx, SAS, Tableau, Python, Excel Pivot, etc.); hands-on experience using big data platforms required 

    • Strong communication skills with the ability to convey complex information in an understandable, compelling, and persuasive manner to business partners 

    • Innovative thinking capability to help internal clients define marketing problems, create solutions, and execute implementation 

    • Expert knowledge in quantitative methods for marketing analytics, including customer segmentation, targeting, and digital analytics 

    Preferred qualifications, capabilities, and skills 

    • Financial services experience, especially in credit card marketing analytics 

     
     

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

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.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

What JPMorgan Chase & Co. employees say

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