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Database Scientist Jobs in Delaware (NOW HIRING)

Dlapiper

Data Scientist

Wilmington, DE · On-site +1

Applies the principles of artificial intelligence, database systems, human/computer interaction ... Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural ...

Agilent

Clinical Affairs Scientist

Wilmington, DE · On-site +1

$105K - $197K/yr

Design and develop databases, Electronic Data Capture (EDC) systems, and case report forms ... Ensure scientific validity of reported results including statistical analysis, tabulation, and ...

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All JobsDatabase Scientist JobsDatabase Scientist Jobs in Delaware

Database Scientist information

See Delaware salary details

$46K

$165.2K

$243.7K

How much do database scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for database scientist in Delaware is $165,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,600.00 and $170,100.00 per year, depending on experience, location, and employer.

What is a database scientist?

A Database Scientist is a professional who specializes in designing, managing, analyzing, and optimizing large volumes of structured and unstructured data stored in databases. They use advanced data science techniques, statistical analysis, and programming skills to extract valuable insights from complex datasets. Database Scientists often work with big data technologies, data warehousing solutions, and machine learning algorithms to help organizations make data-driven decisions. Their responsibilities may also include ensuring data quality, developing data models, and collaborating with other IT and business professionals.

How do database scientists typically collaborate with data engineers and analysts on large-scale projects?

Database Scientists often work closely with data engineers to design, optimize, and maintain data infrastructure that supports advanced analytics and machine learning workloads. They also collaborate with data analysts by providing clean, well-structured datasets and building data pipelines to facilitate insightful reporting and decision-making. Effective communication and a shared understanding of project goals are crucial, as Database Scientists bridge the gap between raw data management and actionable insights. This teamwork ensures data integrity, scalability, and the successful deployment of data-driven solutions.

What are the key skills and qualifications needed to thrive as a database scientist, and why are they important?

To thrive as a Database Scientist, you need a strong background in database management, data modeling, and advanced analytical techniques, often supported by a degree in computer science, statistics, or a related field. Familiarity with SQL, NoSQL databases, big data platforms (like Hadoop or Spark), and certifications such as Microsoft Certified: Azure Data Scientist Associate are typically required. Strong problem-solving, communication, and critical thinking skills help translate complex data insights into actionable business strategies. These skills are crucial for effectively managing, analyzing, and leveraging data to drive informed decision-making and innovation.

What is the difference between Database Scientist vs Data Analyst?

AspectDatabase ScientistData Analyst
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; knowledge of SQL, Python, RBachelor's or Master's in Statistics, Data Analysis, or related fields; proficiency in Excel, SQL, visualization tools
Work EnvironmentResearch-focused, often in tech or data-driven companies, developing models and algorithmsBusiness-focused, analyzing data to generate reports and insights for decision-making
Employer & Industry UsageTech firms, research institutions, large enterprises with complex data needsRetail, finance, marketing, and other industries requiring data interpretation

While both roles involve working with data, a Database Scientist primarily develops advanced data models and algorithms, often in research or technical environments. In contrast, a Data Analyst focuses on interpreting data to provide actionable insights for business decisions. Understanding these differences helps in choosing the right career path or job search focus.

Database Scientist jobs near you

Database Administrator

New Castle, DE • On-site

Northern Base
See more jobs at Northern Baseexternal

Full-time

Posted 13 days ago

Job description

Hiring Alert | Database Administrator – PostgreSQL & Data Engineering

Location: New Castle, DE / Jersey City, NJ / Tampa, FL (Onsite)

Employment Type: Full-Time

Visa Type: USC / GC / GC-EAD Only

Interview Mode (Final Round): In-Person Interview

Experience Required: 8–12 Years

Must-Have Skills:

PostgreSQL Database Administration

Advanced SQL Development & Optimization

Complex Queries, Joins & Subqueries

Views, Stored Procedures, Functions & Triggers

Execution Plan Analysis & Query Performance Tuning

Index Optimization

Locking, Blocking & Long-Running Transaction Resolution

PostgreSQL Installation, Configuration, Patching & Upgrades

Backup & Recovery

Point-in-Time Recovery (PITR)

Replication, High Availability & Failover

Capacity Planning & Storage Management

Database Monitoring & Routine Maintenance

Database Security & Compliance

Roles, Privileges & Authentication

Encryption & Auditing

Data Protection

Relational Database Design

Conceptual, Logical & Physical Data Modeling

Entity-Relationship Diagrams, Schemas, Tables & Constraints

Normalization & Denormalization

Referential Integrity & Data Quality

Data Profiling, Analysis & Reconciliation

ETL Development & Data Integration

Data Mapping, Cleansing & Transformation

Deduplication, Validation & Error Handling

Incremental Loads & Change Data Capture (CDC)

Large-Volume Batch Processing

Production Support & Root Cause Analysis

Data Lineage, Metadata & Operational Documentation

Preferred Experience:

PostgreSQL Administration across Development, Test & Production

Enterprise Database Architecture

ETL Workflow Scheduling & Production Support

Performance Optimization for Large Data Volumes

Database Disaster Recovery & Recoverability Testing

Data Engineering & Application Integration

Collaboration with Application, Architecture, Infrastructure, QA & Business Teams

Controlled Release Management

Operational Runbook Development

Strong Analytical & Problem-Solving Skills

Bachelor’s Degree in Computer Science or related field