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Entry Level Database Engineer Jobs (NOW HIRING)

... work with you. Entry Level Software Engineer Responsible for full life cycle application ... Design relational databases, maintenance and integration with C/C++ applications. Develop web ...

... and database management skills to optimize data solutions - Leveraging Apache Airflow and Apache ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... and database management skills to optimize data solutions - Leveraging Apache Airflow and Apache ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Database Engineer information

See salary details

$60.5K

$122.1K

$167.5K

How much do entry level database engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for entry level database engineer in the United States is $122,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $140,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Database Engineer vs Database Administrator?

AspectEntry Level Database EngineerDatabase Administrator
Required CredentialsBachelor's in Computer Science or related field, basic SQL knowledgeBachelor's in Computer Science, Information Systems, or related; certifications like Oracle DBA or Microsoft SQL Server
Work EnvironmentDevelopment teams, data projects, software companiesIT departments, data centers, enterprise environments
Employer & Industry UsageTech companies, startups, consulting firmsLarge corporations, financial institutions, healthcare
Common Search & ComparisonYesYes

Entry Level Database Engineers focus on developing and optimizing databases, often working with developers and data analysts. Database Administrators manage, maintain, and secure existing databases, ensuring performance and data integrity. While both roles require knowledge of SQL and database systems, their responsibilities and work environments differ, with engineers more involved in creation and design, and administrators in ongoing management and troubleshooting.

What are some common challenges new Entry Level Database Engineers face, and how can they overcome them?

Entry Level Database Engineers often face challenges such as understanding complex database architectures, optimizing queries for performance, and troubleshooting data inconsistencies. Working closely with senior engineers and participating in code reviews can help you learn best practices quickly. It's also beneficial to familiarize yourself with the company's specific database management systems and regularly practice writing and optimizing SQL queries. Proactively seeking feedback and leveraging online resources can accelerate your learning curve and help you become a valuable team member.

What are the key skills and qualifications needed to thrive as an Entry Level Database Engineer, and why are they important?

To thrive as an Entry Level Database Engineer, you need a solid understanding of database concepts, SQL, and basic programming, often supported by a bachelor's degree in computer science or a related field. Familiarity with relational database management systems (such as MySQL, PostgreSQL, or Oracle), basic data modeling tools, and sometimes certifications like Oracle Certified Associate are valuable. Strong analytical thinking, attention to detail, and effective problem-solving set candidates apart in this role. These skills and qualifications ensure data integrity, efficient query performance, and smooth collaboration with development teams.

What does an Entry Level Database Engineer do?

An Entry Level Database Engineer is responsible for assisting in the design, implementation, and maintenance of database systems. Their duties often include writing queries, performing data backups, helping optimize database performance, and ensuring data integrity and security. They typically work under the guidance of senior engineers and may also help troubleshoot database issues and support other teams with data-related tasks. This role is a foundational position that provides hands-on experience with various database technologies and best practices.
More about Entry Level Database Engineer jobs
What cities are hiring for Entry Level Database Engineer jobs? Cities with the most Entry Level Database Engineer job openings:
What are the most commonly searched types of Database Engineer jobs? The most popular types of Database Engineer jobs are:
What states have the most Entry Level Database Engineer jobs? States with the most job openings for Entry Level Database Engineer jobs include:
Infographic showing various Entry Level Database Engineer job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 81% Full Time, 1% Part Time, 1% Temporary, and 15% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $122,112 per year, or $58.7 per hour.
Tax Innovation & Delivery Experience - Data Engineering - Senior Associate

Tax Innovation & Delivery Experience - Data Engineering - Senior Associate

Pwc

Chicago, IL

$77K - $214K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Engineering

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Tax Innovation & Delivery Experience - Data Engineering - Senior Associate, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, grow your personal brand, and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role within our Tax practice, you will leverage advanced technologies and techniques to transform raw data into actionable insights, enabling informed decision-making and driving business growth. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. By interpreting data to inform insights and recommendations, you will contribute to the broader objectives of your projects and understand how your work fits into the overall strategy. This position offers a chance to develop a deeper understanding of the business context and how it is evolving.
Responsibilities
- Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis
- Implementing data pipelines, integration, and transformation solutions to convert raw data into actionable insights
- Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for scalable data engineering tasks
- Building and maintaining data architecture to support client-focused analytics initiatives
- Optimizing database performance and security using best practices in database administration
- Developing data models and validation processes to enhance data quality and reliability
- Collaborating with teams to anticipate client needs and deliver tailored data solutions
- Navigating complex data challenges and leveraging analytical thinking to solve problems
- Mentoring junior team members and guiding them in technical and professional growth
- Upholding professional standards and reinforcing the firm's code of conduct in all engagements
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Utilizing Azure Data Factory and Databricks for data engineering projects
- Developing data architecture and integration strategies for complex systems
- Excelling in analytical thinking and critical problem-solving
- Navigating ambiguity while building meaningful client relationships
- Mentoring junior team members in data engineering methodologies
- Interpreting data to inform strategic insights and recommendations

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $77,000 - $214,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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