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Entry Level Data Engineering Jobs (NOW HIRING)

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Big Data Engineer

New York, NY · On-site

$30 - $40/hr

Entry-Level Data Engineer Job Title: Entry-Level Data Engineer Location: Candidate must be open relocate. Employment Type: Full-time Job Summary We are looking for a motivated Entry-Level Data ...

New

CCS Global Tech

Entry Level Data/AI Engineer

San Diego, CA · On-site

$121K - $146K/yr

Entry-Level Data & AI Consultant PCS Global Tech is a Microsoft Solutions Partner and technology ... engineering, business intelligence, cloud data platforms, SQL development, AI-enabled data ...

SynergisticIT

Junior Data/BI Analyst

Carson City, NV · On-site

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

Inroads

Data Engineer I

Washington, DC · On-site +1

$85K/yr

About the Role We're hiring an entry-level Data Engineer to join our Data Engineering team. You'll take ownership of building reliable ELT/ETL pipelines and strong analytical data models using dbt.

DeFiner Inc

* Work closely with engineering and marketing teams to identify and answer important product ... Collaborate closely with data analysts, data engineers, and business and project stakeholders to ...

SynergisticIT

SQL Developer (Entry-Level)

Baltimore, MD · On-site

$49 - $67/hr

... possible. Entry-level candidates can stand out by showing they understand data movement ... SynergisticIT JOPP is good for junior data engineering candidates because it helps them develop ...

SynergisticIT

Jr. Java Programmer (Remote)

Toledo, OH · On-site

Entry-Level Data Scientist / Java Developer -- Choose a Path With Support If you are applying everywhere but not getting responses, it may be time to stop guessing and start building a structured ...

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

As of Aug 1, 2026, the average hourly pay for entry level data engineering in the United States is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 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.
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What cities are hiring for Entry Level Data Engineering jobs? Cities with the most Entry Level Data Engineering job openings:
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Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.

Big Data Engineer

Tech Consulting

New York, NY • On-site

$30 - $40/hr

Full-time

Medical, PTO

Posted 2 days ago

New

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Job description

Entry-Level Data Engineer

Job Title: Entry-Level Data Engineer

Location: Candidate must be open relocate.

Employment Type: Full-time

Job Summary

We are looking for a motivated Entry-Level Data Engineer to join our data team. In this role, you will help design, build, and maintain data pipelines that support analytics, reporting, and business operations. You will work closely with data engineers, analysts, data scientists, and software developers to ensure data is accurate, reliable, and accessible.

This position is ideal for recent graduates or candidates with internship or project experience in data engineering, computer science, or related fields.

Key Responsibilities

  • Assist in developing and maintaining ETL/ELT data pipelines.
  • Collect, clean, transform, and validate data from multiple sources.
  • Support the design and optimization of databases and data warehouses.
  • Monitor data pipeline performance and troubleshoot issues.
  • Write efficient SQL queries to extract and analyze data.
  • Collaborate with cross-functional teams to understand data requirements.
  • Document data workflows, processes, and technical specifications.
  • Participate in code reviews and follow engineering best practices.
  • Help automate routine data processing tasks.
  • Ensure data quality, integrity, and security.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
  • Basic understanding of SQL and relational databases.
  • Familiarity with at least one programming language such as Python, Java, or Scala.
  • Knowledge of data structures and algorithms.
  • Understanding of ETL/ELT concepts and data modeling fundamentals.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.
  • Willingness to learn new technologies and tools.

Preferred Qualifications

  • Internship or academic project experience in data engineering or analytics.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Exposure to big data technologies like Apache Spark or Hadoop.
  • Experience with version control systems such as Git.
  • Knowledge of workflow orchestration tools (e.g., Apache Airflow).
  • Basic understanding of data warehousing concepts.

Technical Skills

  • SQL
  • Python (preferred)
  • Git
  • Relational databases (PostgreSQL, MySQL, SQL Server, etc.)
  • Basic Linux/Unix commands
  • Excel
  • Cloud fundamentals (AWS, Azure, or GCP)

Soft Skills

  • Problem-solving mindset
  • Attention to detail
  • Communication skills
  • Team collaboration
  • Time management
  • Adaptability
  • Eagerness to learn

Thanks