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Part Time Data Analytics Engineer Jobs (NOW HIRING)

Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions. * Demo results and deliver concise ...

About The Role Acres is seeking a part-time Data Intern based in Northwest Arkansas to join our ... land analytics. Your work will directly impact the growth of Acres into the default land ...

$29.90/hr

This is a part-time internship position for our Fall rotation, from September 8th, 2025 through ... product engineers. * Develop and create dashboards, by defining the purpose and target audience ...

Although part time data entry staff as well as administrative aide expertise are not necessary, they are very beneficial. Project Benefits Involvement in online and also in-person conversations. If ...

Arsenault is seeking a Data Analyst to join our team in a part-time capacity. Youll be supporting ... Strong knowledge of and experience with reporting packages, databases, programming * Knowledge of ...

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Part Time Data Analytics Engineer information

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$44.5K

$129.7K

$177.5K

How much do part time data analytics engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for part time data analytics 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 does a part time data analytics engineer do?

A Part Time Data Analytics Engineer is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They build and manage data pipelines, use programming languages like Python or SQL, and create dashboards or reports to visualize data trends. Working part time, they may focus on specific projects or support ongoing analytics needs, often collaborating with other team members to ensure data quality and actionable insights.

What are the key skills and qualifications needed to thrive as a part time data analytics engineer?

To thrive as a Part Time Data Analytics Engineer, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI is essential, with certifications in these tools considered advantageous. Excellent problem-solving abilities, attention to detail, and effective communication skills are important soft skills for this role. These skills ensure accurate data analysis, actionable insights, and efficient collaboration, which are critical for delivering value in a part-time capacity.

How does working as a part time data analytics engineer differ from a full time position in terms of team collaboration and project ownership?

As a part-time Data Analytics Engineer, you'll often collaborate closely with full-time team members, focusing on specific tasks or projects that align with your available hours. You may be assigned to support data pipeline development, create dashboards, or perform data cleaning, but typically with a narrower project scope compared to full-time engineers. Communication and documentation are especially important, as you'll need to ensure smooth handoffs and updates for work that continues outside your scheduled hours. This structure provides flexibility but also requires proactive coordination to stay aligned with team goals and deadlines.
More about Part Time Data Analytics Engineer jobs

What cities are hiring for Part Time Data Analytics Engineer jobs?

Cities with the most Part Time Data Analytics Engineer job openings:

What are the most commonly searched types of Data Analytics Engineer jobs?

The most popular types of Data Analytics Engineer jobs are:

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Infographic showing various Part Time Data Analytics Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Analytics Intern

TrinityRail

Dallas, TX • On-site

Part-time

Re-posted 17 days ago


TrinityRail rating

6.3

Company rating: 6.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

139th of 174 rated vehicle equipment hire


Job description

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX. This position will focus on building, deploying, and scaling agentic AI applications and automated workflows across the enterprise. You will contribute to producing AI-first solutions using large language models, agent frameworks, and AI-assisted coding to deliver deployable apps, agents, automated workflows, and AI orchestration.
This role will provide valuable experience working with state-of-the-art enterprise platforms (Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high-impact projects.
What You'll Do:
  • Design, prototype, and deliver agentic systems that plan and execute multi-step business tasks.
  • Build automated workflows and connectors that integrate internal systems and APIs.
  • Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for handoff.
  • Produce code and deployable artifacts using AI-assisted generation.
  • Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions.
  • Demo results and deliver concise handoff docs, runbooks, and impact metrics.

Qualifications
What You'll Have:
  • Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field.
  • Demonstrable experience building AI prototypes or agentic projects (coursework, research, personal projects, or employment).
  • Generate, test, and iterate code (examples: Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub Copilot, OpenAI Codex,
  • Claude Code, Cursor, or similar). Manual coding fluency is helpful but not mandatory.
  • Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent).
  • Strong problem solving and communication skills; ability to present technical work to nontechnical stakeholders.
Preferred / Nice-to-Have
  • Practical experience with model deployment and monitoring basics (packaging/deploying prototypes, logging/observability, basic cost and drift checks).
  • Experience building or working with data/workflow pipelines or orchestration tools or familiarity with the concepts of scheduling and task orchestration.
  • Experience working with unstructured text and retrieval approaches (RAG or index + LLM patterns) for document/question answering.
  • Comfortable integrating services via REST APIs and using secure authentication patterns.

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