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Entry Level Data Engineering Jobs in Columbia, SC

City of Columbia, SC

SURVEY PARTY CHIEF

Columbia, SC · On-site

$46K - $58K/yr

Assists in coordinating survey / field data collection with engineers, CADD technicians and other ... Ability to perform specialized technical or entry-level professional work requiring general ...

City of Columbia

RIGHT OF WAY AGENT I

Columbia, SC

$49K - $63K/yr

Under supervision of management, reviews engineering drawings and coordinates necessary changes ... Ability to gather, organize, analyze, examine or evaluate data or information and may prescribe ...

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Entry Level Data Engineering information

See Columbia, SC salary details

$10

$18

$29

How much do entry level data engineering jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for entry level data engineering in Columbia, SC is $18.72, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $20.24 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

While most entry-level data engineering roles do not reach $500,000 annually, senior data engineers with extensive experience, specialized skills in big data tools, and leadership responsibilities can earn this level of compensation, often through a combination of salary, bonuses, and stock options in large tech companies or startups.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency but do not eliminate the core responsibilities of data engineering roles.

What is an Entry Level Data Engineering job?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an Entry Level Data Engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

Can I get a data engineer job with no experience?

Entry level data engineering roles typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level position.

What are the key skills and qualifications needed to thrive in the Entry Level Data Engineering position, and why are they important?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Which is the hardest field in it?

In entry-level data engineering, the most challenging aspects often involve mastering complex data pipelines, understanding distributed systems, and working with large-scale databases. Developing proficiency in tools like SQL, Python, and cloud platforms such as AWS or Azure can also be demanding for newcomers. Building strong problem-solving skills and gaining certifications can help overcome these challenges.
What are the most commonly searched types of Data Engineering jobs in Columbia, SC? The most popular types of Data Engineering jobs in Columbia, SC are:
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What job categories do people searching Entry Level Data Engineering jobs in Columbia, SC look for? The top searched job categories for Entry Level Data Engineering jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Entry Level Data Engineering jobs? Cities near Columbia, SC with the most Entry Level Data Engineering job openings:
Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in Columbia, SC as of July 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $38,947 per year, or $18.7 per hour.
Managed Services - BI Engineer - Senior Associate

Managed Services - BI Engineer - Senior Associate

Pwc

Columbia, SC

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Managed Services - BI Engineer - Senior Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data and Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity.
In this role at PwC, you will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. You will respond effectively to diverse perspectives, using a broad range of tools and methodologies to generate new ideas and solve problems. Your critical thinking skills will help break down complex concepts, and you will develop a deeper understanding of the business context and how it is evolving. Upholding professional and technical standards, you will interpret data to inform insights and recommendations, contributing to the firm's overall business strategies.
Responsibilities
- Developing and implementing innovative business intelligence solutions to optimize client operations and enhance competitive advantage
- Leveraging advanced analytics techniques to drive strategic insights and informed decision-making for clients
- Managing and inspiring teams to deliver quality work while navigating complex situations
- Building and maintaining meaningful client relationships to anticipate and address their needs effectively
- Utilizing tools such as Oracle Business Intelligence and QlikView to enhance data visualization and reporting capabilities
- Analyzing complex data sets to inform insights and recommendations for business performance improvement
- Upholding professional and technical standards in all client engagements
- Collaborating with stakeholders to identify opportunities for continuous process improvement and data quality enhancement
- Applying critical thinking to break down complex concepts and develop a deeper understanding of the business context
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: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Utilizing Business Intelligence and Reporting Tools (BIRT) for data-driven insights
- Developing data pipelines and architecture for seamless data flow
- Excelling in Python and Java programming for advanced analytics
- Leveraging Oracle Business Intelligence (BI) for strategic decision-making
- Implementing QlikView and Spotfire for enhanced data visualization
- Embracing change and fostering creativity in complex environments

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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