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Associate Engineer Jobs in Woonsocket, RI (NOW HIRING)

Senior Cybersecurity Engineer

Boston, MA · On-site

$124K - $170K/yr

Pair with Mid and Associate engineers, run design reviews, give substantive code/config review, and grow the next tier. Quality of output from less senior engineers is part of your scope.

The Associate Field Engineer supports on-site commissioning and system validation by assisting with configuration, testing, and troubleshooting tasks under direct supervision. This entry-level role ...

We are seeking a full-time Associate Software Engineer to join our dynamic and collaborative customer-facing Member Experience team, working on the Member Web. Our ideal candidate is passionate ...

New

Associate Field Engineer

Boston, MA · On-site

$78K - $99K/yr

The Associate Field Engineer supports on-site commissioning and system validation by assisting with configuration, testing, and troubleshooting tasks under direct supervision. This entry-level role ...

Senior Software Engineer

Boston, MA · On-site

$150K - $170K/yr

Mentor and actively develop mid-level and associate engineers through pairing, feedback, and leading by example * Contribute to team-level engineering strategy shaping how we approach testing ...

Be Seen First

Lombardo Associates, Inc. , a nationally recognized environmental engineering firm, is seeking a Senior Project Manager / Engineer to join our high-energy team. About Us: Lombardo Associates is a ...

Veteran-friendly

Urgent

Showing results 21-40

Associate Engineer information

See Woonsocket, RI salary details

$39.8K

$79.2K

$126.5K

How much do associate engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for associate engineer in Woonsocket, RI is $79,184.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $91,000.00 per year, depending on experience, location, and employer.

What is an associate engineer?

Associate Engineers are entry-level engineering professionals who support more experienced engineers in designing, developing, testing, and maintaining various projects in their field. They typically work under supervision and assist with tasks such as drafting technical documents, conducting research, analyzing data, and ensuring compliance with industry standards. Associate Engineers often gain practical experience and training to advance to higher-level engineering roles as they develop their skills.

What are some typical challenges associate engineers face when transitioning from academic projects to industry roles?

Associate Engineers often find the transition from academic projects to industry roles challenging due to differences in project scope, teamwork dynamics, and pace. In industry, you’ll likely work on larger, multi-disciplinary teams where effective communication and collaboration are crucial. Additionally, projects often have stricter deadlines and require adherence to established processes and standards, which may be less emphasized in academic settings. Embracing continuous learning and seeking mentorship from senior engineers can help ease this transition and set you up for success.

What are the key skills and qualifications needed to thrive as an associate engineer, and why are they important?

To thrive as an Associate Engineer, you need a solid grasp of engineering principles, problem-solving abilities, and a relevant bachelor's degree. Familiarity with CAD software, industry-specific tools, and basic project management systems is typically required. Strong teamwork, attention to detail, and effective communication set standout candidates apart. These skills and qualities are crucial for delivering accurate technical solutions and contributing effectively to engineering projects.

What is the difference between Associate Engineer vs Mechanical Engineer?

AspectAssociate EngineerMechanical Engineer
Required CredentialsBachelor's degree in engineering or related field; entry-level certificationsBachelor's degree in mechanical engineering; professional licensure (optional)
Work EnvironmentDesign, testing, and support roles in engineering teams; often in office or lab settingsDesign, analysis, and manufacturing in industrial or construction settings
Employer & Industry UsageEntry-level position across various industries like manufacturing, construction, and techDesign and development roles primarily in manufacturing, automotive, aerospace, and energy sectors

The main difference between an Associate Engineer and a Mechanical Engineer lies in experience and responsibilities. Associate Engineers are typically entry-level, focusing on supporting engineering tasks, while Mechanical Engineers have more experience and handle complex design and analysis responsibilities. Both roles require a bachelor's degree, but Mechanical Engineers often pursue licensure for advanced roles. The choice depends on your experience level and career goals within engineering fields.

How much does an associate engineer get paid?

An associate engineer's average salary typically ranges from $60,000 to $80,000 annually, depending on industry, location, and experience. Entry-level positions may start lower, while those with specialized skills or certifications can earn higher wages. Salaries often increase with experience and additional responsibilities.

What can I do with an associate engineer's degree in engineering?

An associate engineer's degree prepares individuals for entry-level engineering roles such as technician, assistant engineer, or project support staff. These positions often involve tasks like drafting, testing, data analysis, and using tools like CAD software, with opportunities for on-the-job training and certification to advance in engineering fields.

What is the salary of an associate engineer?

The salary of an associate engineer typically ranges from $60,000 to $80,000 annually, depending on factors such as industry, location, and experience. Entry-level positions may start lower, while experienced associates or those with specialized skills can earn higher wages.

What are the most commonly searched types of Engineer jobs in Woonsocket, RI?

The most popular types of Engineer jobs in Woonsocket, RI are:

What cities near Woonsocket, RI are hiring for Associate Engineer jobs?

Cities near Woonsocket, RI with the most Associate Engineer job openings:

Infographic showing various Associate Engineer job openings in Woonsocket, RI as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 31% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $79,184 per year, or $38.1 per hour.

Associate Scientific Technical Engineer II, PDS&T CMC

AbbVie

Worcester, MA • On-site

$65K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

14th of 86 rated pharmaceutical


Job description

Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck. The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain.
We here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products. Through our deep collaboration with PDST scientists we are boldly reimagining how AbbVie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI.
This position is a highly technical, AI-native role responsible for designing, building, and operating production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem.
This role is embedded inside PDST and works at the frontier of pharmaceutical data engineering. You will integrate and harmonize data from the full spectrum of manufacturing and development systems - including MES, historians, LIMS, QMS, ERP, and instrument platforms - and transform it into reliable, governed, semantically rich data assets that data scientists, process engineers, and AI systems can actually use.
  • Enterprise-scale scope: Enterprise-scale biologics portfolio spanning clinical, commercial, and lifecycle stages
  • Building AI playbook for the future: First-in-AbbVie and first-in-biologics analytical approaches; you build the AI playbook for the future
  • Growth and Impact: Direct impact on regulatory submissions, commercial readiness, and manufacturing decisions through deep cross-functional exposure to manufacturing, quality, regulatory, and scientific leadership
  • Mission: Every model you build helps ensure safe, reliable medicines reach patients at scale

Responsibilities:
Data Ingestion & Integration
  • Design and implement scalable, robust data ingestion pipelines that connect CMC and manufacturing source systems - including MES (Manufacturing Execution Systems), process historians, LIMS, QMS, ERP platforms, and instrument data sources - to centralized and federated data environments.
  • Build connectors, adapters, and integration layers that handle the heterogeneous data formats, protocols, and latency profiles characteristic of pharmaceutical manufacturing environments.
  • Support both batch and real-time/streaming data patterns, selecting appropriate architectures based on use case requirements.

Data Harmonization & Semantic Modeling
  • Develop and maintain harmonized data models and ontologies that bring consistency to CMC and manufacturing data across sites, systems, and modalities.
  • Execute semantic mapping efforts that align source system fields, units, and identifiers to enterprise data standards and scientific meaning.
  • Collaborate with process scientists, analytical chemists, and manufacturing engineers to ensure data models accurately reflect domain reality.

Data Quality, Observability & Governance
  • Implement automated data quality controls, validation frameworks, and anomaly detection mechanisms across pipeline layers.
  • Build and maintain data lineage documentation and metadata infrastructure, enabling full traceability from source system to AI model input.
  • Establish pipeline observability practices - monitoring, alerting, SLA tracking - to ensure data product reliability in production.
  • Support data governance practices aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards.

AI/ML Enablement & Data Product Development
  • Architect and deliver governed, versioned, reusable data products purpose-built for AI/ML consumption, including feature stores, curated datasets, and vector-ready data layers for RAG and LLM applications.
  • Partner closely with data scientists, ML engineers, and process modelers to understand model data requirements and translate them into reliable, scalable data infrastructure.
  • Accelerate AI program delivery by eliminating data bottlenecks - not by workarounds, but by solving root causes structurally.

Platform & Operational Enablement
  • Contribute to the design and evolution of PDST's cloud-based data platform, including lakehouse architecture, data cataloging, access control, and compute infrastructure.
  • Write and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems.
  • Support platform onboarding of new CMC data domains and manufacturing sites, ensuring consistent application of standards and patterns.
  • Provide operational support for production data pipelines, maintaining uptime and data freshness commitments.

Stakeholder Engagement & Scientific Leadership
  • Influence technical decision-making without formal authority - earning trust through scientific rigor, transparent methodology, and demonstrated business impact.

Qualifications
Required:
  • Bachelor's Degree in Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a closely related technical field plus 2 years' experience OR Master's Degree with 0 years' experience.
  • Respective years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments.
  • Expert-level proficiency in Python for data engineering tasks - pipeline development, transformation logic, data validation, and automation.
  • Strong SQL skills across modern analytical and transactional databases; comfort with both ANSI SQL and platform-specific dialects.
  • Demonstrated experience with cloud data platforms (AWS, Azure, or GCP) and modern data stack components - including tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents.
  • Develop ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, and cloud-native services (e.g., AWS Glue, Azure Data Factory).
  • Implement master data management (MDM), metadata management, and data cataloging solutions to ensure proper data lineage, accessibility, and compliance.
  • Set and enforce standards for API development and data integration (REST, GraphQL, OData), enabling seamless integration using microservices architectures.
  • Design logical, physical, and conceptual data models using modeling tools (e.g., Erwin, PowerDesigner, dbt).
  • Ownership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes - not just outputs.
  • Solution-architect instinct: you think before you build, consider the full landscape of available approaches, and choose tools based on fit-for-purpose reasoning rather than familiarity or trend.
  • Scientific integrity: you build models you can explain, defend, and improve - and you apply the same standard to the work of others.
  • Influence through credibility: you earn the confidence of scientists, engineers, and quality professionals by being right, being clear, and being useful - not by title or volume.
  • Bias for impact: you are drawn to problems where the stakes are high and the analytical opportunity is real, and you are energized rather than intimidated by ambiguity.

Preferred:
  • Experience in pharmaceutical, biotech, or other regulated life sciences manufacturing environments.
  • Familiarity with GxP data principles, 21 CFR Part 11 compliance, or data integrity requirements in regulated industries.
  • Prior exposure to manufacturing source systems such as MES, process historians (e.g., OSIsoft PI/AVEVA), LIMS, QMS, or ERP platforms
  • Experience building data infrastructure for AI/ML programs - including feature engineering pipelines, model training datasets, or vector/embedding data layers for RAG architectures.

Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our short-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013