1

Junior Data Engineer Jobs in Exton, PA (NOW HIRING)

You will also mentor junior data scientists and contribute to the growth of our AI safety research ... Strong programming skills in Python, including experience with data pipelines, large-scale ...

You will also mentor junior data scientists and contribute to the growth of our AI safety research ... Strong programming skills in Python, including experience with data pipelines, large-scale ...

Lead Data Scientist

Chadds Ford, PA · On-site +1

$144K - $250K/yr

... junior Data Scientists. Lead projects as needed or required - (10%) Minimum Qualifications * Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics ...

Lead Data Manager

Conshohocken, PA · On-site

$144 - $176/hr

... Programming, and external vendors. The Lead Data Manager ensures timely and accurate database ... to junior data management staff. Qualifications and Experience • Bachelor's degree in Life ...

New

... Junior Environmental Engineer to provide office and field engineering for a variety of site ... Field activities including data collection, evaluation and documentation. * Limited construction ...

Mentors and develops junior data scientists and analysts. * Establishes and enforces data quality ... Proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow ...

Mentors and develops junior data scientists and analysts. * Establishes and enforces data quality ... Proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow ...

Mentors and develops junior data scientists and analysts. * Establishes and enforces data quality ... Proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow ...

Showing results 21-40

Junior Data Engineer information

See Exton, PA salary details

$32.3K

$69.3K

$105.7K

How much do junior data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for junior data engineer in Exton, PA is $69,297.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,800.00 and $77,200.00 per year, depending on experience, location, and employer.

What is a junior data engineer?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What are the typical responsibilities of a junior data engineer?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.

What are the most commonly searched types of Data Engineer jobs in Exton, PA?

The most popular types of Data Engineer jobs in Exton, PA are:

What job categories do people searching Junior Data Engineer jobs in Exton, PA look for?

The top searched job categories for Junior Data Engineer jobs in Exton, PA are:

What cities near Exton, PA are hiring for Junior Data Engineer jobs?

Cities near Exton, PA with the most Junior Data Engineer job openings:

Infographic showing various Junior Data Engineer job openings in Exton, PA as of August 2026, with employment types broken down into 61% Full Time, and 39% Part Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $69,297 per year, or $33.3 per hour.

Senior AI Scientist

Vangard, Inc.

Philadelphia, PA • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

About the Role

This role sits at the intersection of AI safety research, LLM evaluation, and applied data science. You will design and run adversarial evaluations against production AI agents, develop quantitative frameworks to measure evaluation quality, and translate findings into actionable insights for application teams and business stakeholders. You will also mentor junior data scientists and contribute to the growth of our AI safety research practice.

Responsibilities

  • Design and execute adversarial evaluations of generative AI and agentic systems, probing for safety failures, policy violations, and unexpected behaviors under realistic conditions

  • Apply rigorous experimental design and statistical methodology to AI safety research questions, including evaluation of model robustness and the reliability of automated evaluation systems

  • Develop and validate quantitative frameworks for assessing LLM outputs and measuring evaluation quality at scale

  • Build and maintain data pipelines to process large-scale evaluation outputs, aggregate metrics, and surface trends for research and stakeholder consumption

  • Engage directly with internal stakeholders including application teams, security analysts, and business leaders to explain findings and translate complex analytical results into clear, actionable recommendations

  • Mentor and develop junior data scientists and analysts on the team

  • Stay current with emerging literature in adversarial ML, LLM safety, and AI evaluation; contribute to the team's evolving research agenda

  • Participate in special projects and perform other duties as assigned

Qualifications
  • Minimum 5 years of experience in data science, applied ML research, or AI evaluation roles

  • Hands-on experience with large language models and agentic AI systems, with working knowledge of LLM behavior, failure modes, and safety evaluation techniques

  • Familiarity with adversarial AI concepts including jailbreaks, prompt injection, and model robustness, whether through direct research or applied work

  • Strong programming skills in Python, including experience with data pipelines, large-scale experimentation, and ML libraries such as PyTorch, Hugging Face, or Scikit-learn

  • Solid foundation in statistical reasoning and experimental design: hypothesis formulation, significance testing, and the ability to identify confounds and methodological flaws in existing analyses

  • Experience in financial services, AI safety, trust and safety, or a regulated industry is a strong plus

  • Clear, confident communication skills with the ability to explain technical findings to both research peers and non-technical stakeholders

  • Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field; Master's degree or equivalent research experience preferred

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.