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Associate Data Engineer Jobs in Wayne, PA (NOW HIRING)

Pwc

AI Engineer

Philadelphia, PA · On-site

$55K - $187K/yr

... Associate & Summary The Opportunity As an AI Engineer, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

JPMorgan Chase & Co

CCB Risk Program Associate

Wilmington, DE · On-site

$57K - $57K/yr

... engineering. * Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis. * In-depth knowledge of advanced machine ...

MSD

Associate Director, Data Analysis

North Wales, PA · On-site

In this Associate Director, Digital Content Data Product Management role, you will be part of the ... S. in Engineering or related field (Business, Computer Science, Engineering, Data Science, etc ...

JP Morgan Chase

CCB Risk Program Associate

Wilmington, DE · On-site

$57K - $57K/yr

... engineering. * Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis. * In-depth knowledge of advanced machine ...

ASCENSUS

Associate UI Engineer

Philadelphia, PA

Data Engineering * Data Science * DevOps Engineering Video Interview Process: As part of our ... Section 1: Position Summary As an Associate Engineer at Ascensus, you will be working in a high ...

ASCENSUS

Associate UI Engineer

Dresher, PA · On-site

Data Engineering * Data Science * DevOps Engineering Video Interview Process: As part of our ... Section 1: Position Summary As an Associate Engineer at Ascensus, you will be working in a high ...

Lincoln Financial

Databricks Engineer and Architect

Radnor, PA · Hybrid

$58.50 - $76.75/hr

... Associate Developer, Data Analytics Specialty, or Databricks certification is a plus. Application Deadline Applications for this position will be accepted through May 15th, 2026 subject to earlier ...

Lincoln Financial

Databricks Engineer and Architect

Radnor, PA · On-site

$58.50 - $76.75/hr

... Associate Developer, Data Analytics Specialty, or Databricks certification is a plus. Application Deadline Applications for this position will be accepted through May 15th, 2026 subject to earlier ...

Lincoln Financial

Databricks Engineer and Architect

Radnor, PA · Hybrid

$58.50 - $76.75/hr

AWS certifications such as SAA, Associate Developer, Data Analytics Specialty, or Databricks certification is a plus. Application Deadline Applications for this position will be accepted through May ...

AllSTEM Connections

Engineering Associate

Wilmington, DE · On-site

$72K/yr

Engineering Associate (R&D / Laboratory) Role Overview We are seeking a motivated Engineering ... Proactively collect, compile, and organize data from various tests for analysis by the engineering ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Wayne, PA

Associate Data Engineer information

See Wayne, PA salary details

$8

$16

$27

How much do associate data engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for associate data engineer in Wayne, PA is $16.98, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $18.08 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in Wayne, PA? The most popular types of Data Engineer jobs in Wayne, PA are:
What are popular job titles related to Associate Data Engineer jobs in Wayne, PA? For Associate Data Engineer jobs in Wayne, PA, the most frequently searched job titles are:
What cities near Wayne, PA are hiring for Associate Data Engineer jobs? Cities near Wayne, PA with the most Associate Data Engineer job openings:
Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Wayne, PA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $35,317 per year, or $17 per hour.

RWE Scientist / Immunology Studies / Remote Work

Pioneer Data

Spring House, PA • On-site

$56K - $56K/yr

Contractor

Re-posted 19 days ago

Job description

Position Details:
Our client, a world-leading Pharmaceutical Company in Spring House, PA is currently looking for an RWE Scientist to join their expanding team.  
 
Job Title: RWE Scientist / Immunology Studies / Remote Work
Duration: 12 months contract, extendable up to 24 Months
Location: Spring House, PA
 
Note:
The client has the right-to-hire you as a permanent employee at any time during or after the end of the contract.
You may participate in the company group medical insurance plan  
 
Job Description:
Senior Manager – Real-World Evidence (RWE), Immunology
Location: Spring House, PA, USA (Fully Remote)
 
About Client Innovative Medicine
At Client, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. 
Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.
 
Position Summary
The Real-World Evidence (RWE) team within Johnson & Johnson Innovative Medicine is seeking a highly motivated Postdoctoral Scientist to join our Data Science & Digital Health (DSDH) Immunology group. 
This global role offers a unique opportunity to apply advanced analytics to real-world data (RWD) and contribute to the generation of evidence that informs clinical development, regulatory strategy, and healthcare decision-making across diverse populations and geographies.
 
Key Responsibilities
Conduct high-impact research using large-scale observational databases and clinical trial data to generate real-world insights.
Design and execute studies in collaboration with global cross-functional teams, including clinical, regulatory, epidemiology, and data science.
Develop protocols, statistical analysis plans, and programming specifications aligned with international standards.
Deliver high-quality outputs including analysis-ready datasets, visualizations, and manuscripts for peer-reviewed publication.
Present findings to internal and external stakeholders, including global scientific and regulatory audiences.
Stay current with global trends in RWE methodologies, data privacy regulations, and health technology assessment.
 
Required Qualifications
Masters in Epidemiology, Biostatistics, Data Science, Public Health, Biomedical Informatics, or a related quantitative discipline. Would prefer a PhD with qualifications.
Experience working with real-world data (e.g., electronic health records, claims, registries) from diverse healthcare systems.
Proficiency in R, Python, or SAS; familiarity with OMOP CDM and OHDSI tools is highly desirable.
Strong written and verbal communication skills in English; additional languages are a plus.
Demonstrated ability to work effectively in multicultural, multidisciplinary teams.
Immunology experience mandatory
Experience in Low-Middle income countries
 
Preferred Qualifications
Experience working with data sources from low- and middle-income countries (LMICs), including national health surveys, regional registries, or community-based studies.
Familiarity with LMIC health systems, including data infrastructure, care delivery models, and public health priorities.
Knowledge of global health policies, including WHO guidelines, international data governance frameworks, and health equity initiatives.
Experience with digital health technologies, such as mobile health platforms, remote monitoring tools, or AI-enabled diagnostics.
Prior collaboration with pharmaceutical companies, including experience in clinical development, regulatory strategy, or health economics and outcomes research (HEOR).
Experience with international regulatory submissions or health authority interactions.
Familiarity with machine learning, causal inference, and advanced statistical modeling.
Prior publications in peer-reviewed journals and presentations at global conferences.