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Data Analytics Engineer Jobs in Delaware (NOW HIRING)

Analyze complex data sets to identify patterns and trends that will drive business growth ... Experience with SQL, Python, R, or other programming languages commonly used in analytics.

Analyze complex data sets to identify patterns and trends that will drive business growth ... Experience with SQL, Python, R, or other programming languages commonly used in analytics.

Analyze complex data sets to identify patterns and trends that will drive business growth ... Experience with SQL, Python, R, or other programming languages commonly used in analytics.

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Showing results 1-20

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 Jun 23, 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 I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more annually, 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 stock options or bonuses.

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 AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

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 infrastructure 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:
Infographic showing various Data Analytics Engineer job openings in Delaware as of June 2026, with employment types broken down into 60% Full Time, 34% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,828 per year, or $62.4 per hour.

Full-time

Medical, Dental, Vision, Life, PTO

Posted 3 days ago


Job description

When you join Sallie Mae, you become a champion for all students.

We're on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. To help them Start smart. Learn big.

Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. We're changing. Because students need a better way.

We're looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students-and for each other.

This is where diverse backgrounds, beliefs, and perspectives matter. It's where you're empowered to bring your authentic self to work.

Feeling your best allows you to do your best. Our benefits take care of the whole you-from physical and mental to financial and professional. You'll get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more.

We're obsessed with impact and making a real difference. For us, that means putting relationships first, asking "why not?" when tackling challenges, and continuously learning new skills.

Come do more than join something, change something. For students, for future generations, for the future of education.

What You'll Contribute

As the Manager of Data Analytics, you will be responsible for leading a team of data analysts to develop insights that drive business growth and optimization. You will be responsible for analyzing complex data, identifying patterns and trends, and presenting findings to inform decision making at all levels of the organization.

What You'll Do

  • Lead a team of data analysts to develop and implement analytical frameworks to uncover insights and improve business performance.

  • Analyze complex data sets to identify patterns and trends that will drive business growth.

  • Develop models and forecasts to support business planning and decision-making.

  • Present findings and recommendations to senior leadership to influence strategic decision-making.

  • Collaborate with cross-functional teams to understand business objectives and provide insights to inform business strategies.

  • Ensure data integrity and accuracy by monitoring data sources and implementing quality control processes.

  • Stay up-to-date with industry trends and emerging technologies to drive innovation and continuous improvement.

The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role.

What you have

Minimum: Indicate minimum education, skills and experience required.

  • Demonstrated ability to lead and manage analytics projects and deliver high-quality analytics insights and recommendations.

  • Excellent communication skills, with the ability to present complex data in a clear and concise manner to stakeholders at all levels of the organization.

  • Strong problem-solving and critical thinking skills.

  • Demonstrated ability to work collaboratively across departments and functions.

  • Familiarity with data visualization tools such as Tableau, Power BI, or similar.

  • Experience with SQL, Python, R, or other programming languages commonly used in analytics.

Preferred: Indicate "nice to haves" regarding education, skills, and experience.

  • Bachelor's or Master's degree in mathematics, statistics, economics, computer science, or related field.

  • 5+ years of experience in prescriptive and predictive analytics, with at least 2 years of experience managing a team of analysts.

  • Experience in financial services, lending space

  • Experience with leveraging GenAI for reporting and analytics.

The Americans with Disabilities Act

The Americans with Disabilities Act of 1990 (ADA) prohibits discrimination by employers, in compensation and employment opportunities, against qualified individuals with disabilities who, with or without reasonable accommodation, can perform the "essential functions" of a job. A function may be essential for any of several reasons, including: the job exists to perform that function, the employee holding the job was hired for his/her expertise in performing the function, or only a limited number of employees are available to perform that function.

Feeling your best helps you do your best:Our benefits take care of the whole you-so you can build your work around your life (not the other way around!).
  • Competitive base salaries

  • Bonus incentives

  • Generous PTO, Floating Holidays and 12 Federal Holidays observed

  • Support for financial-well-being and retirement401k with employer match

  • Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more

  • Employer paid short-term/long-term disability and basic life insurance

  • Flexible hybrid working arrangements.

  • Paid parental leave and adoption reimbursement programs

  • Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)

  • Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives

  • Tuition Reimbursement and Family Scholarship Programs

  • Career development and training opportunities

Not the right fit? Let us know you're interested in a future opportunity by clickingIntroduce Yourselfin the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click hereto view the U.S. Pay Transparency Policy, here for federal job applicant notices, and here to view the California Employee Privacy Notice.
Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call (855) 756-2007 and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.