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Database Normalization Jobs (NOW HIRING)

ITech Recruiting

Oracle DBA

Jersey City, NJ

$53 - $72/hr

... database normalization - Programming Experience in a higher order language required; - SDLC - Experience Installing Oracle - Experience tuning SQL queries and mentoring programmers in tuning SQL ...

Infojini Inc

DB2 Administrator

Saint Louis, MO

Develop and maintain database schemas to include normalization and de-normalization Monitor Databases for reliability and performance DB2 Database Experience is required. Basic Qualifications: To be ...

AMERICAN SYSTEMS

Database Administrator

Quantico, VA · On-site

$79K - $132K/yr

Strong understanding of proper database normalization, indexing, transaction protection, and locking. * Experience with database modeling and database design tools such as Erwin Data Modeler.

AMERICAN SYSTEMS

Database Administrator

Quantico, VA · On-site

$79K - $132K/yr

Strong understanding of proper database normalization, indexing, transaction protection, and locking. * Experience with database modeling and database design tools such as Erwin Data Modeler.

4pconsultinginc

Data Engineer II

Birmingham, AL · On-site

$107K - $128K/yr

Experience with data modeling and database normalization * Experience working with: * Relational databases * NoSQL systems * Data lakes * Hands-on experience with Spark, Hive, and Airflow.

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How much do database normalization jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for database normalization in the United States is $53.12, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $60.10 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Database Normalization Specialist, and why are they important?

To thrive as a Database Normalization Specialist, you need a solid understanding of database design principles, relational database theory, and strong skills in SQL, often supported by a degree in computer science or a related field. Familiarity with database management systems like MySQL, PostgreSQL, or Oracle, and certifications such as Microsoft Certified: Azure Database Administrator Associate, are valuable. Attention to detail, analytical thinking, and clear communication help ensure efficient data structuring and collaboration with stakeholders. These skills are crucial for optimizing data integrity, reducing redundancy, and supporting scalable, high-performing database systems.

What are some common challenges faced when working with database normalization in large organizations?

A common challenge when applying database normalization in large organizations is balancing data integrity with system performance. As databases grow, highly normalized schemas can lead to complex queries and slower response times, especially when dealing with large volumes of data and multiple joins. Collaborating with other teams, such as application developers and data analysts, is essential to ensure that the design supports both business requirements and technical efficiency. Regular reviews and incremental adjustments are often needed to maintain optimal performance while preserving data consistency.

What is the difference between Database Normalization vs Database Administrator?

AspectDatabase NormalizationDatabase Administrator
Primary RoleDesigning and organizing database structures to reduce redundancyManaging, maintaining, and securing databases
Skills RequiredKnowledge of database design, SQL, data modelingSQL, troubleshooting, performance tuning, security
Work EnvironmentData modeling, design sessions, documentationServer management, user support, system monitoring
CertificationsNone typically required, but knowledge of SQL and data modelingOracle DBA, Microsoft SQL Server certifications, CompTIA Server+

Database normalization focuses on structuring data efficiently within a database, while a database administrator manages the overall health, security, and performance of the database systems. Both roles are essential but serve different functions in the data management lifecycle.

What is database normalization?

Database normalization is a process used in designing relational databases to reduce redundancy and improve data integrity. It involves organizing tables and their relationships according to certain rules, known as normal forms, to ensure that data is stored efficiently and consistently. By breaking down large, complex tables into smaller, related tables, normalization helps eliminate duplicate data and makes it easier to update and maintain the database. This process also helps prevent anomalies during data insertion, update, or deletion. Ultimately, normalization enhances the overall structure and performance of a database.
Infographic showing various Database Normalization job openings in the United States as of May 2026, with employment types broken down into 63% Full Time, 5% Part Time, and 32% Contract. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $110,489 per year, or $53.1 per hour.

Database Engineer/Developer

Futran Tech Solutions Pvt. Ltd.

Whippany, NJ • On-site

Full-time

Posted 17 days ago

Job description

Title: Database Engineer
Location: Whippany, NJ (Remote to start)
Duration: Long Term
Only W2
Key Technology: Database, SQL, AWS Glue
Job Responsibilities:
  • Participate and contribute in the full project life cycle, including gathering requirements, system design, implementation, testing, deployment, and support of applications using PHP, JavaScript - mostly jQuery library.
  • Participate in estimating assigned work effort and be accountable for completion dates
  • Document code so other engineer can reuse and support components in the future.
  • As needed, help and mentor more junior developers on implementation
  • Troubleshoot critical production issues if needed
  • Production release management and support as needed
  • Follow standard software development methodologies and SDLC and Agile practices to produce high quality applications in an efficient manner.
  • Effectively manage multiple project deliverables concurrently

Skills and Experience Required:
  • 5+ years of experience developing SQL Applications
  • ETL experience
  • Experience with DB SQL
  • Conceptual knowledge of database normalization as well as implementation
  • Stored procedure, triggers and functions
  • Agile / Scrum Experience

Preferred:
  • Recent experience working with AWS
  • Experience with AWS Glue, Crawlers, and Lambda

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