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Data Analytics Engineer Jobs in Delaware (NOW HIRING)

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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:
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.

Data Analytics & AI Solutions Engineer

Veranova L P

Wilmington, DE • On-site

$120K - $130K/yr

Full-time

Medical, Retirement, PTO

Re-posted 26 days ago


Job description

Data Analytics & AI Solutions Engineer

Discover Veranova:

At Veranova, we believe people are our most important asset, and we are dedicated to building the most talented workforce in our industry. Our commitment to uncompromising focus on quality, compliance, safety, and excellence in delivery shapes everything we do. We are not just looking for skills; we are seeking innovative individuals who have a mindset open to learning and growth, and a desire to make a difference. Every role at Veranova plays a part in delivering an exceptional customer experience through ownership and integrity.

Veranova is a global leader in the development and manufacturing of complex active pharmaceutical ingredients (APIs) for pharma and biotech customers. With deep technical expertise and impressive flexibility, we develop solutions and processes that support and accelerate innovation.

Join us on our mission to enable current and next-generation therapeutics to improve and save the lives of patients.

Role Overview:

As the Data Analytics & AI Solutions Engineer, you will play a key role in advancing our global data and analytics capabilities across a rapidly scaling CDMO environment. Following significant investments in standardizing systems, processes, and master data globally, the organization is shifting its focus to generating actionable insights, automated KPI reporting, and emerging AI‑enabled capabilities.

In this role, you will design, build, and maintain Power BI dashboards, KPIs, and data models that draw from multiple global systems (ERP, LIMS, QMS, CRM, CMMS and other platforms). You will also support in evaluating, implementing, and operationalizing early‑stage AI use cases, working closely with both business stakeholders and IT teams.

This role may be performed fully remote; however, candidates must be located on the East Coast of the United States, with flexibility for early start times to support UK operations.

Core Responsibilities:

Business Intelligence & Reporting (Primary Focus — 60%)

  • Design, develop, and maintain high‑quality Power BI dashboards, KPI scorecards, and data models.
  • Translate business requirements into well‑structured analytical solutions across manufacturing, supply chain, quality, finance, and commercial areas.
  • Ensure consistency and global alignment on metrics, definitions, and UI/UX standards.
  • Optimize Power BI performance, including DAX calculations, data modeling, and incremental refresh.
  • Partner with business process owners to enable self-service analytics.

Data Engineering & Integration (20%)

  • Extract, model, and transform data from multiple global systems.
  • Support data pipeline development for analytics and reporting.
  • Ensure data quality and reliability across reporting ecosystems.
  • Build shared datasets, semantic models, and standardized structures.

AI Capability Support & Enablement (20%)

  • Help identify and scope early AI use cases.
  • Configure and support AI toolsets such as copilots and embedded SaaS AI.
  • Ensure safe and compliant AI usage in partnership with IT Security.
  • Provide training and documentation for AI-enabled tools.

Qualifications:

  • Bachelor’s degree in relevant field.
  • 3–7 years’ experience in data analytics or BI.
  • Strong Power BI, DAX, Power Query, and modeling skills.
  • Experience with enterprise data sources.
  • SQL and cloud analytics experience (Azure preferred).
  • Understanding of data governance and KPI standardization.
  • Strong stakeholder communication.
  • CDMO or pharmaceutical industry experience preferred.
  • Exposure to AI concepts or tools preferred.
  • Python or similar scripting experience preferred.
  • Familiarity with APIs and ETL frameworks preferred.

Salary Range:

The salary range for this role is $120,000–$130,000 annually. This range represents a good faith estimate of the compensation we expect to offer for this position at the time of posting. Actual compensation will be based on factors such as relevant experience, skills, qualifications, and internal equity. In exceptional cases, compensation may exceed the stated range.

All full-time employees are eligible to participate in our annual incentive bonus program. Bonus targets vary by career level and are based on individual and company performance.

Our Commitment:

  • Health & Wellness: Comprehensive health & wellness benefits. Access to mental health resources and wellness programs. Generous PTO and holiday pay policies.
  • Financial Wellness: Veranova is committed to fair and transparent compensation practices. This includes a competitive base salary, eligibility for performance-based bonuses, and an attractive 401(k) Plan with company match. Salary ranges reflect the scope and expectations of the role, and are based on market data, internal equity, and role-specific factors. Final compensation may vary depending on experience, skills, education, and business needs.
  • Professional Development: Opportunities for continuous learning through LinkedIn Learning, workshops, conferences, and mentorship. Tuition Assistance for Undergraduate and Graduate degree programs.
  • Inclusive Culture: At Veranova, an inclusive culture is integral to our values. We welcome people with diverse experiences and perspectives who share our mission to improve and save lives. Even if you don’t meet every qualification, we encourage you to apply. Veterans, first responders, and those transitioning from military to civilian life bring valuable skills that strengthen our team.

Additional Information:

Applicants for this role must be authorized to work in the United States without further employer sponsorship.

Agency and Search Firm Representatives: Veranova does not accept unsolicited resumes from agencies and/or search firms for this job posting.

For applicants who may require a reasonable accommodation for any part of the application or hiring process due to a disability, you may submit your request by sending an email to talentacquisition@veranova.com in order to confirm your request for an accommodation. Please include the job number, title, and location of role. This option is reserved for individuals who require accommodation due to a disability. Information received will be processed by a U.S. Veranova employee and then routed to a local recruiter who will provide assistance to ensure appropriate consideration in the application or hiring process.

All your information will be kept confidential according to EEO guidelines.

Veranova is an Equal Opportunity Employer. It is the policy of Veranova to provide equal employment access and opportunity to all persons regardless of age, race, color, national origin, religion, sex, sexual orientation, gender identity and/or expression, physical or mental disability, genetic information, citizenship, marital status, veteran status, or any other characteristic protected by federal, state, or local law.

All applications are carefully considered, and your details will be stored on our secure Application Management System. This is used throughout Veranova for the selection of suitable candidates for our vacancies as they arise. Veranova respects your privacy and is committed to protecting your personal information. For more information about how your personal data is used please view our privacy notice.