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Entry Level Data Science Social Good Jobs (NOW HIRING)

Entry Level Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Collaborate with Data Analysts, Data Scientists, Software Engineers, and other stakeholders ... Good problem-solving and analytical skills. Strong communication and willingness to learn.

New

Data Science for Social Good, * Introduction to Data Science for Cybersecurity * Measuring Success * Data Wrangling and Web Scraping, * Data Internships Preparation for Social Impact * Exploring ...

Data Science for Social Good, * Introduction to Data Science for Cybersecurity * Measuring Success * Data Wrangling and Web Scraping, * Data Internships Preparation for Social Impact * Exploring ...

Use your skills and experience for social good . * This is an hourly contract position. * 20 hours ... Ability to translate complex data science jargon into meaningful, actionable insights for technical ...

Data Scientist

Arlington, VA · On-site

$80 - $100/hr

Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.) Required Skills / Experience:

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

... data science solutions. * Present and defend results to leadership audiences, both technical and ... Good mathematic and algorithm background * Strong influencing skills essential. Capable of ...

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Entry Level Data Science Social Good information

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

As of Aug 22, 2026, the average hourly pay for entry level data science social good in the United States is $19.47, 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 are the most commonly searched types of Data Science Social Good jobs?

The most popular types of Data Science Social Good jobs are:

Infographic showing various Entry Level Data Science Social Good job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,504 per year, or $19.5 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.