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Entry Level Data Annotation Analyst Jobs (NOW HIRING)

Entry Level Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Job Title: Entry Level Data Engineer Location: Dallas, TX Job Type: Only W2 We are looking for an ... You will work with experienced data engineers and analysts to build, maintain, and improve data ...

New

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Job Summary We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills ...

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Entry Level Data Annotation Analyst information

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$61

How much do entry level data annotation analyst jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level data annotation analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Annotation Analyst vs Data Labeling Specialist?

AspectEntry Level Data Annotation AnalystData Labeling Specialist
Required CredentialsHigh school diploma or equivalent; some roles may prefer basic technical skillsHigh school diploma; familiarity with labeling tools often preferred
Work EnvironmentOffice or remote; collaborative with data teamsRemote or on-site; focused on labeling tasks
Employer & Industry UsageTech companies, AI firms, research institutionsAI companies, data service providers, tech firms
Search & Comparison IntentUnderstanding entry-level roles in data annotationComparing similar data labeling roles

The Entry Level Data Annotation Analyst and Data Labeling Specialist roles are similar in requiring basic technical skills and working within AI or tech industries. The analyst role may involve more data analysis and quality checks, while the specialist focuses on labeling data accurately. Both positions are suitable for those starting in data annotation careers and often share similar work environments and employer types.

More about Entry Level Data Annotation Analyst jobs

What cities are hiring for Entry Level Data Annotation Analyst jobs?

Cities with the most Entry Level Data Annotation Analyst job openings:

What are the most commonly searched types of Data Annotation Analyst jobs?

The most popular types of Data Annotation Analyst jobs are:

What states have the most Entry Level Data Annotation Analyst jobs?

States with the most job openings for Entry Level Data Annotation Analyst jobs include:

Infographic showing various Entry Level Data Annotation Analyst 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Entry Level Data Engineer

Synergie Systems

Dallas, TX • On-site

$113K - $136K/yr

Other

Posted 2 days ago

New


Job description

Job Title: Entry Level Data Engineer

Location: Dallas, TX

Job Type: Only W2

Job Description:

We are looking for an enthusiastic and detail-oriented Entry-Level Data Engineer to join our data team. You will work with experienced data engineers and analysts to build, maintain, and improve data pipelines and data infrastructure.

This is a great opportunity for someone who has a strong foundation in SQL and Python and wants to develop their career in data engineering.

Responsibilities:

Develop and maintain ETL/ELT data pipelines.

Extract, transform, and load data from databases, APIs, files, and other sources.

Write and optimize SQL queries for data processing and analysis.

Use Python to automate data-processing and engineering tasks.

Perform data validation, quality checks, and troubleshooting.

Work with relational and cloud databases.

Assist in building and maintaining data warehouses and data lakes.

Monitor data pipelines and investigate data-quality or pipeline issues.

Collaborate with Data Analysts, Data Scientists, Software Engineers, and other stakeholders.

Document data pipelines, processes, and technical solutions.

Follow best practices for data security, reliability, and scalability.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, Engineering, Data Science, or a related field, or equivalent practical experience.

Strong knowledge of SQL.

Basic to intermediate Python programming skills.

Understanding of relational databases and database concepts.

Basic understanding of ETL/ELT concepts and data pipelines.

Familiarity with Git/version control.

Good problem-solving and analytical skills.

Strong communication and willingness to learn.