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Entry Level Spotify Data Science Jobs in Dallas, TX

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

Junior/Entry Level Coder - Remote

Arlington, TX · On-site

$60K - $78K/yr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... We want data science/machine learning/data analyst and Java full stack candidates. Required skills ...

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Entry Level Spotify Data Science information

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How much do entry level spotify data science jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for entry level spotify data science in Dallas, TX is $32.57, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $36.39 per hour, depending on experience, location, and employer.

How much do entry level Spotify data science professionals make?

Entry-level data science professionals at Spotify typically earn between $70,000 and $90,000 annually, depending on location and experience. These roles often require proficiency in programming languages like Python or R and familiarity with machine learning tools and data analysis techniques.

How to become an entry level Spotify data science?

To become an entry-level Spotify data scientist, candidates typically need a bachelor's degree in a quantitative field such as computer science, statistics, or mathematics. Gaining experience with programming languages like Python or R, understanding machine learning concepts, and working with large datasets are essential. Familiarity with data analysis tools, SQL, and a strong foundation in statistics can improve job prospects.

What are the most commonly searched types of Spotify Data Science jobs in Dallas, TX?

The most popular types of Spotify Data Science jobs in Dallas, TX are:

What are popular job titles related to Entry Level Spotify Data Science jobs in Dallas, TX?

For Entry Level Spotify Data Science jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Spotify Data Science jobs in Dallas, TX look for?

The top searched job categories for Entry Level Spotify Data Science jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Entry Level Spotify Data Science jobs?

Cities near Dallas, TX with the most Entry Level Spotify Data Science job openings:

Entry Level Data Engineer

Dallas, TX • On-site

Synergie Systems
Recruiting and Staffing Services • 11 - 50 employees

$113K - $136K/yr

Other

Posted 5 days ago


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.