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Entry Data Engineer Jobs in Philadelphia, PA (NOW HIRING)

Senior Software Engineer- Medical Imaging

Blue Bell, PA · On-site

$117K - $154K/yr

... data integrity risks, workflow gaps, traceability issues, duplicate data entry, manual ... Mentor engineers and analysts, promote knowledge sharing, and strengthen team capability to reduce ...

... make an entry as the immigration employer of record (e.g., STEM OPT training plan, I-20 Form ... programming knowledge Education and Experience Preferred: Master's Degree Minimum of 10 year ...

Building construction, engineering, or equivalent experience, preferred * Must have good ... Proficient with computer applications, data entry, and Microsoft suite of applications * Basic ...

... Data Center IT equipment • Includes but is not limited to scanners, printers (Zebra, etc ... clean room • Proper entry procedures, proper gear, etc.. o Safety protocol for moving IT ...

Engineer

Philadelphia, PA · On-site

$35/hr

... data entry input · Some knowledge and skill in electrical, plumbing, carpentry, mechanical and general maintenance About Us ABM (NYSE: ABM) is one of the world's largest providers of facility ...

New

Manufacturing Engineering

Limerick, PA · On-site

$69K - $89K/yr

Position Summary: The Associate Manufacturing Engineer, supports manufacturing operations by ... Word, basic data entry) required * Willingness to learn manufacturing systems, equipment, and ...

Manufacturing Engineering

Limerick, PA · On-site

$69K - $89K/yr

Position Summary: The Associate Manufacturing Engineer, supports manufacturing operations by ... Word, basic data entry) required * Willingness to learn manufacturing systems, equipment, and ...

Manufacturing Engineering

Limerick, PA · On-site

$69K - $89K/yr

Position Summary: The Associate Manufacturing Engineer, supports manufacturing operations by ... Word, basic data entry) required * Willingness to learn manufacturing systems, equipment, and ...

Manufacturing Engineering

Limerick, PA · On-site

$69K - $89K/yr

Position Summary: The Associate Manufacturing Engineer, supports manufacturing operations by ... Word, basic data entry) required * Willingness to learn manufacturing systems, equipment, and ...

Showing results 41-60

Entry Data Engineer information

See Philadelphia, PA salary details

$11

$19

$28

How much do entry data engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry data engineer in Philadelphia, PA is $19.65, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $22.07 per hour, depending on experience, location, and employer.

What does an entry data engineer do?

An Entry Data Engineer is responsible for assisting in the design, development, and maintenance of data pipelines and databases. They work with raw data, helping to clean, organize, and prepare it for analysis by more senior engineers or data scientists. Their tasks often include writing basic SQL queries, automating data collection processes, and supporting data quality initiatives. Entry-level data engineers typically work under the guidance of more experienced team members to learn best practices and develop their technical skills.

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

To thrive as an Entry Data Engineer, you need a solid understanding of programming (often Python or SQL), data structures, and database fundamentals, typically supported by a relevant degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or Azure), and version control systems like Git is commonly required. Strong analytical thinking, attention to detail, and effective communication help you collaborate with teams and troubleshoot data issues. These skills are crucial to ensure high-quality, efficient data pipelines and enable data-driven decision-making within organizations.

What are some common challenges faced by entry data engineers during their first year on the job?

Entry-level data engineers often encounter challenges such as learning new data pipeline tools, understanding complex legacy systems, and adapting to the fast pace of data-driven environments. Balancing requests from multiple stakeholders and ensuring data accuracy can also be demanding, especially when dealing with large datasets. However, most teams provide mentorship and training to help new hires get up to speed, and collaboration with experienced engineers is encouraged to support skill development.

What is the difference between Entry Data Engineer vs Data Analyst?

AspectEntry Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; knowledge of SQL, Python, ETL toolsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, reporting teams, data visualization tools
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, consulting, retail

Entry Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data to generate insights. Both roles require SQL and data handling skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on analysis and reporting.

What are popular job titles related to Entry Data Engineer jobs in Philadelphia, PA?

For Entry Data Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Entry Data Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Entry Data Engineer jobs in Philadelphia, PA are:

Infographic showing various Entry Data Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,873 per year, or $19.7 per hour.

Senior Software Engineer- Medical Imaging

410 ICR United States USA

Blue Bell, PA

$117K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Job description

Job Description: Senior Software Engineer - Medical Imaging ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster. As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers. Position Summary The Senior Engineer, Clinical Trial Technology and Medical Imaging Applications is a specialized role within the Production Set-up team. This role is responsible for designing, developing, configuring, validating, and supporting project-specific analysis applications used to support clinical trial endpoints, medical imaging workflows, centralized review, and clinical research operations. The successful candidate must understand how clinical trial protocols, Independent Review Charters, imaging workflows, eCRFs, clinical databases, assessment criteria, sponsor requirements, and operational processes translate into reliable technology solutions that support global study execution. The ideal candidate combines deep expertise in clinical trial technology, medical imaging, software engineering, regulated SDLC practices, quality, regulatory expectations, and operational management. This individual must be able to independently prioritize work, make sound technical decisions based on study-specific needs, reduce technical debt, and ensure applications are fit for purpose for sponsors, sites, readers, adjudicators, data management, and operational teams. What You Will DoClinical Trial Application Development Design, develop, configure, enhance, and maintain project-specific applications that support clinical trial endpoints, imaging review, operational workflows, and sponsor deliverables. Translate complex clinical, scientific, protocol, operational, and data requirements into technical specifications, application logic, workflows, reports, and user-facing functionality. Develop solutions that support medical imaging, centralized review, endpoint assessment, clinical data capture, study management, reader workflows, adjudication, and operational oversight. Partner with Production Set-up, Product, IT, Data Management, Quality, Clinical Operations, and sponsor-facing teams to ensure applications meet study needs and customer expectations. Support application modernization initiatives, workflow automation, reusable framework development, and reduction of legacy technical debt. Medical Imaging, Central Review, and Independent Review Workflows Develop and support systems used in support of: Blinded Independent Central Review, eligibility review, endpoint review, reader assignment, discrepancy management, adjudication, consensus workflows, and audit trail requirements. Review and interpret clinical trial protocols, imaging manuals, and Independent Review Charters to ensure application design aligns with study-specific endpoint definitions, assessment rules, review workflow, timing expectations, and blinding requirements. Support workflows for image transfer, de-identification, reconciliation, quality control, storage, viewing, measurement, review, archival, and data delivery. Ensure solutions support sponsor, site, reader, adjudicator, medical monitor, and operational management needs across global clinical studies. End-to-End Data Management Consistency Design technology solutions that enable consistent end-to-end data flow across protocol requirements, eCRFs, clinical databases, imaging platforms, assessment applications, operational reports, and sponsor deliverables. Ensure alignment between imaging data, clinical data, assessment results, reader decisions, adjudication outcomes, data exports, and downstream reporting outputs. Identify and mitigate data integrity risks, workflow gaps, traceability issues, duplicate data entry, manual reconciliation burden, and inconsistent endpoint reporting. Partner with Data Management and operational stakeholders to improve data mapping, edit checks, data review workflows, reconciliation processes, and study-specific standards. Support consistent application behavior across sponsor, study, therapeutic area, protocol, and criteria-specific requirements. SDLC, Quality, Validation, and Governance Lead and support all phases of the software development lifecycle, including requirements, solution design, development, testing, validation, UAT, deployment, release management, production support, and continuous improvement. Maintain traceability between protocol requirements, Independent Review Charter requirements, business requirements, functional specifications, technical design, test scripts, validation evidence, and training materials. Develop and maintain SDLC governance materials, technical documentation, SOP and work instruction inputs, training materials, knowledge repositories, and reusable standards. Support risk assessments, impact assessments, root cause analysis, CAPA activities, audit readiness, validation documentation, and regulated change control. Ensure systems and applications align with applicable quality and regulatory expectations, including GxP, GAMP 5, 21 CFR Part 11, ICH-GCP, EU Annex 11, HIPAA, GDPR, and internal quality requirements. Process Improvement and Operational Excellence Lead process improvement initiatives focused on quality, standardization, scalability, operational efficiency, delivery predictability, and reduction of rework. Identify workflow bottlenecks, hidden dependencies, technical debt, single-resource dependencies, knowledge gaps, and application risks that may impact study delivery. Develop reusable development standards, criteria-specific build standards, application templates, testing frameworks, training content, and operational playbooks. Support portfolio-level governance, prioritization, capacity planning, delivery tracking, and leadership reporting for project application development activities. Drive improvements that enable faster study start-up, stronger requirements clarity, consistent delivery, improved data quality, and better sponsor and stakeholder experience. Sponsor, RFI, and Cross-Functional Support Provide technical input for RFIs, sponsor assessments, client audits, demonstrations, solution design discussions, and feasibility reviews. Serve as a senior technical advisor to Production Set-up, Operations, Product, Quality, Data Management, and leadership teams. Communicate complex technical, clinical, imaging, and regulatory concepts clearly to technical and non-technical stakeholders. Mentor engineers and analysts, promote knowledge sharing, and strengthen team capability to reduce single-source dependency. Your ProfileRequired Qualifications and Experience Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering, Clinical Informatics, Information Systems, Life Sciences, or a related discipline. Advanced degree preferred. Significant experience in software engineering, clinical trial technology, medical imaging technology, healthcare technology, or regulated software development environments. Demonstrated experience supporting clinical research, CROs, pharmaceutical or biotechnology organizations, medical imaging providers, imaging core labs, centralized review organizations, or clinical technology vendors. Direct experience supporting centralized imaging review organizations and blinded independent review workflows, including BICR, endpoint adjudication, reader workflows, discrepancy resolution, and imaging review operations. Experience reviewing and translating clinical trial protocols, imaging manuals, Independent Review Charters, data collection requirements, and sponsor requirements into application functionality and technical solutions. Experience supporting systems or applications used for medical imaging, centralized review, endpoint assessment, clinical data capture, data reconciliation, and operational reporting. Strong experience working within regulated SDLC, validation, quality, and change control frameworks. Ability to independently assess competing priorities, make decisions based on study-specific risk and operational need, and deliver high-quality technical solutions with limited oversight. Technical and Domain Skills Programming and Engineering: Python, Java, SQL, REST APIs, JavaScript or related web technologies, database design, application architecture, workflow automation, source control, CI/CD, and release management. Workflow and BPM: BPM or workflow orchestration experience required; Camunda BPM experience strongly preferred. Clinical Trial Systems: EDC, eCRF design, clinical databases, clinical data review systems, CTMS, study management tools, operational reporting, data exports, and clinical data integrations. Medical Imaging Systems: DICOM standards, image transfer workflows, imaging archives, imaging viewers, image QC, reader platforms, annotation and measurement tools, central review platforms, and AI-enabled imaging solutions. ICON-Relevant Technology Context: Experience applicable to Production Set-up and project application build environments, EDC/eCRF/database integrations, workflow automation, criteria-specific application standards, and sponsor-specific study configurations. Validation and Compliance: Computer System Validation, risk-based validation, UAT, traceability matrices, test scripts, validation evidence, audit trails, GxP, GAMP 5, 21 CFR Part 11, ICH-GCP, EU Annex 11, HIPAA, and GDPR. Data and Reporting: Data mapping, data reconciliation, edit checks, endpoint data consistency, data exports, operational dashboards, sponsor reporting, and downstream data delivery standards. Therapeutic Area and Assessment Criteria Experience Working knowledge of imaging and endpoint assessment criteria across therapeutic areas is strongly preferred, including but not limited to: Oncology: RECIST 1.1, iRECIST, irRECIST, mRECIST, Lugano, Cheson, LYRIC, RANO, PCWG3, and volumetric assessments. Cardiac assessments, including quantitative imaging endpoints and study-specific measurement rules. MSK, GI, Neuro, and other specialty imaging workflows and criteria-specific review methodologies. AI-assisted imaging analysis, quantitative imaging, segmentation, volumetric analysis, radiomics, or machine learning enabled imaging workflows in regulated clinical research environments preferred. Preferred Qualifications 8 + years of experience working for or supporting imaging CROs, medical imaging core labs, independent review organizations, eClinical technology providers, or clinical trial technology vendors. Experience with sponsor-facing solution design, technical feasibility assessment, RFI/RFP support, client audits, and regulatory inspection support. Experience creating or maintaining criteria-specific standards, reusable build components, study configuration standards, application design patterns, and operational training materials. Experience leading modernization initiatives, workflow automation, technical debt remediation, and process improvement within clinical trial technology environments. Experience mentoring technical team members and building organizational knowledge management practices. Key Competencies Deep understanding of clinical trial operations, medical imaging workflows, endpoint assessment, and regulated clinical technology delivery. Ability to translate complex clinical, operational, scientific, and regulatory requirements into practical application solutions. Strong independent decision-making, prioritization, analytical thinking, and problem-solving skills. Strong quality mindset with focus on data integrity, traceability, compliance, audit readiness, and customer satisfaction. Ability to influence cross-functional stakeholders and communicate clearly across technical, operational, clinical, quality, and sponsor-facing audiences. Commitment to process improvement, standardization, knowledge sharing, automation, and scalable delivery practices. Role Expectations Act as a senior technical contributor and domain expert for project-specific clinical trial application builds. Ensure solutions are aligned with protocols, Independent Review Charters, assessment criteria, data requirements, sponsor expectations, and operational workflows. Improve consistency across project builds by applying reusable standards, criteria-specific templates, and SDLC governance practices. Support Production Set-up leadership by identifying delivery risks, technical gaps, process inefficiencies, and opportunities for modernization. Help ensure applications support reliable, traceable, end-to-end data management from study setup through review, adjudication, reporting, and delivery. Travel Willingness to travel as required, approximately 15%, based on business, sponsor, audit, training, or project needs. #LI-SB7 #LI-Remote Employment with ICON is contingent upon having the legal right to work in the country where the role is based. Rewards & Benefits ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development. Benefits may include: Competitive base salary and performance related incentives Health and wellbeing programmes including medical, dental, and vision coverage where applicable Retirement and pension plans Life assurance and disability coverage Employee assistance programmes and wellbeing resources Learning and development opportunities through structured training and career pathways Benefits may vary depending on role and location. Visit our careers site to read more about the benefits ICON offers. Inclusion and Accessibility ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported. If you require reasonable accommodations during the recruitment process, please let us know or submit a request here. Are you a current ICON Employee? Please click here to apply