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No Experience Data Engineer Jobs (NOW HIRING)

Data Engineer

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

Data Engineer We are seeking an experienced Data Engineer to join our team and contribute to the design, development, and optimization of data solutions supporting enterprise-level initiatives. The ...

Data Engineer

Manhattan, NY · Remote

$126.20K - $151.60K/yr

6 Month Fixed-Term Contract UK-wide Remote About the role We are seeking an experienced Data Engineer to support the delivery of a Master Data Management (MDM) initiative and associated data ...

Data Engineer

Miami, FL · On-site

$109.50K - $131.50K/yr

Description We are looking for an experienced Data Engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, you'll create algorithms and ...

Data Engineer

San Diego, CA · On-site

$121.60K - $146K/yr

RIVO is seeking an experienced Data Engineer to join our Data team and help build upon the ... Benefit from a schedule with no evening or weekend work - enjoy your weekends for relaxation and ...

Data Engineer

Albuquerque, NM · On-site

$111K - $133.30K/yr

No Job Number: R0237241 Location: Albuquerque,NM,US Share job via: Share Data Engineer The ... We need an experienced data engineer like you to help our clients find answers in their data to ...

Data Engineer

Manhattan, NY · On-site +1

$105K - $145K/yr

Experienced Data Engineer: 2+ years of experience working with data infrastructure, ETL processes, and large-scale datasets. * Proficient in SQL & Python: Strong knowledge of SQL for querying and ...

Azure Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Atlanta, GA Remote Duration : Long-Term We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful data systems. Overall, you'll ...

Data Engineer

Fayetteville, NC · On-site

$77.50K - $176K/yr

No Job Number: R0236980 Location: Fayetteville,NC,US Share job via: Share Data Engineer The ... We need an experienced data engineer like you to help our clients find answers in their data to ...

Data Engineer

Richmond, VA · On-site

$113.30K - $136.10K/yr

Richmond, VA Duration: 6 Months Role Overview We are seeking an experienced Data Engineer with strong expertise in Apache Spark-based ETL pipelines and real-time data processing. The ideal candidate ...

Data Engineer

Manhattan, NY · On-site +1

$126.20K - $151.60K/yr

Data Engineer Hiring Location: Gurugram, India (Work From Home Role) | Experience: 3-6 Years | Employment Type: Full-time Company Profile NPS Prism is a market‐leading, cloud‐based CX ...

We are seeking a highly skilled and experienced Data Engineer to join our team and play a critical role in building and maintaining our data infrastructure. As a Data Engineer, you will work with ...

Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

The Indianapolis Colts are seeking an experienced Data Engineer to play a key role supporting the organization's data ecosystem, contributing to the development, maintenance, and optimization of data ...

Data Engineer

Indiana, PA · On-site

$104.60K - $125.70K/yr

The Indianapolis Colts are seeking an experienced Data Engineer to play a key role supporting the organization's data ecosystem, contributing to the development, maintenance, and optimization of data ...

Data Engineer

Manhattan, NY · On-site +1

$105K - $145K/yr

Experienced Data Engineer: 2+ years of experience working with data infrastructure, ETL processes, and large-scale datasets. * Proficient in SQL & Python: Strong knowledge of SQL for querying and ...

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No Experience Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do no experience data engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for no experience data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a No Experience Data Engineer, and why are they important?

To thrive as a No Experience Data Engineer, you need a strong understanding of data structures, SQL, and basic programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, and cloud platforms (e.g., AWS, Google Cloud) is highly beneficial, and obtaining entry-level certifications can be helpful. Strong problem-solving abilities, attention to detail, and a willingness to learn are critical soft skills for those starting out in this field. These skills and qualities enable newcomers to efficiently manage, process, and analyze data, laying a solid foundation for growth in data engineering roles.

What are some effective ways for entry-level Data Engineers to quickly gain practical experience and contribute to their team?

As an entry-level Data Engineer, you can quickly gain practical experience by volunteering for small-scale data projects, assisting with data pipeline maintenance, and exploring internal documentation. Collaborating closely with senior engineers and asking for feedback accelerates learning and helps you understand best practices. Participating in code reviews and pair programming sessions also enhances your technical and teamwork skills, making it easier to contribute meaningfully to your team’s objectives.

What are 'No Experience Data Engineers'?

No Experience Data Engineers are individuals who are entering the field of data engineering without prior professional experience in the role. They may have relevant educational backgrounds or have completed certifications and personal projects, but are seeking entry-level positions to gain practical, on-the-job experience. These roles typically involve learning to build and maintain data pipelines, manage databases, and work with big data tools under the guidance of more experienced engineers. Employers look for foundational skills in programming, SQL, and an understanding of data systems, even if the candidate has not previously worked as a data engineer.

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 managing complex systems and understanding business needs remain critical even as AI tools assist with routine tasks.

What engineering jobs pay $500,000?

High-level engineering roles such as senior data engineers, software engineers, and engineering managers can reach or exceed $500,000 annually, especially with experience, bonuses, and stock options. These positions often require advanced skills, certifications, and leadership responsibilities in technology companies or financial firms.

What is the difference between No Experience Data Engineer vs Data Engineer?

AspectNo Experience Data EngineerData Engineer
Required CredentialsBasic understanding of data concepts, entry-level certificationsDegree in Computer Science or related field, advanced certifications often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time professional roles in tech or data teams
Employer & Industry UsageStartups, companies hiring entry-level data rolesTech companies, finance, healthcare, and large enterprises
Search & Comparison IntentYesYes

The main difference between a No Experience Data Engineer and a Data Engineer lies in experience and qualifications. The No Experience Data Engineer is typically an entry-level role suited for those just starting, often requiring basic data knowledge and certifications. In contrast, a Data Engineer usually has relevant experience, a degree, and advanced skills, working in more complex environments. Both roles are essential in data-driven organizations, but they differ significantly in responsibilities and expectations.

More about No Experience Data Engineer jobs
What cities are hiring for No Experience Data Engineer jobs? Cities with the most No Experience Data Engineer job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most No Experience Data Engineer jobs? States with the most job openings for No Experience Data Engineer jobs include:
What job categories do people searching No Experience Data Engineer jobs look for? The top searched job categories for No Experience Data Engineer jobs are:
Infographic showing various No Experience Data Engineer job openings in the United States as of May 2026, with employment types broken down into 33% Full Time, 33% Temporary, and 34% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

Veracity

Minneapolis, MN • On-site

$119.50K - $143.50K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Data Engineer

We are seeking an experienced Data Engineer to join our team and contribute to the design, development, and optimization of data solutions supporting enterprise-level initiatives. The successful candidate will work on large-scale data processing, transformation, and analytics using cutting-edge cloud and ETL technologies.

Responsibilities:

  • Design, build, and maintain scalable data pipelines on GCP (Google Cloud Platform).
  • Develop and optimize queries in BigQuery to support analytics and reporting.
  • Implement data transformation and ETL workflows using Ab Initio.
  • Work with Teradata to integrate and manage large datasets.
  • Ensure data quality, integrity, and security across all solutions.
  • Collaborate with data architects, business analysts, and application teams to meet business requirements.
  • Contribute to performance tuning, error handling, and automation of data processes.

Required Skills:

  • Strong hands-on experience with GCP and BigQuery.
  • Proficiency in Ab Initio ETL development.
  • Experience working with Teradata databases.

Desired Skills:

  • Experience with Java or Python for data processing and automation.
  • Prior work in Finance or Banking domain is a plus.