ZipRecruiter

Log In

1

Associate Engineering Jobs in Worcester, MA (NOW HIRING)

SharkNinja

Mechanical Engineering Manager

Needham, MA

$113K - $156K/yr

Headquartered in Needham, Massachusetts with more than 4,100 associates, the company's products are ... Senior Manager, R&D Biomechanical Engineering -- Shark Beauty & Personal Care About Us SharkNinja ...

Qualcomm

Engineering Technician

Boxborough, MA · On-site

$19.78 - $29.68/hr

Preferred Qualifications: • Associate's degree in Computer Science, Mathematics, Electrical Engineering, or related field. • 1+ year of experience with general computer skills and Microsoft ...

SharkNinja

Engineering Manager, R&D

Needham, MA · On-site

Headquartered in Needham, Massachusetts with more than 4,100 associates, the company's products are ... Senior Manager, R&D Biomechanical Engineering -- Shark Beauty & Personal Care About Us SharkNinja ...

previous page

Showing results 41-60

All JobsAssociate Engineering JobsAssociate Engineering Jobs in Worcester, MA

Associate Engineering information

See Worcester, MA salary details

$41.4K

$82.5K

$131.7K

How much do associate engineering jobs pay per year?

As of Aug 25, 2026, the average yearly pay for associate engineering in Worcester, MA is $82,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $94,800.00 per year, depending on experience, location, and employer.

What does an associate engineer do?

An Associate Engineer is an entry-level professional who assists in designing, developing, and maintaining engineering projects. They work under the supervision of senior engineers, helping with technical tasks such as drafting plans, conducting tests, and collecting data. Their responsibilities may also include troubleshooting issues, preparing reports, and ensuring projects comply with industry standards. Associate Engineers typically work in fields like civil, mechanical, electrical, or software engineering.

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

To thrive as an Associate Engineer, you need a solid understanding of engineering principles, problem-solving skills, and typically a bachelor's degree in engineering or a related field. Familiarity with industry-standard software such as AutoCAD, SolidWorks, or MATLAB, and sometimes certifications like EIT (Engineer-in-Training), are commonly required. Strong teamwork, adaptability, and effective communication are soft skills that help you stand out in this role. These skills and qualities are vital for successfully executing technical tasks, collaborating on projects, and supporting senior engineers in achieving organizational goals.

What are some typical challenges associate engineers face when transitioning from academic projects to real-world engineering teams?

Associate Engineers often find that moving from academic projects to professional engineering teams involves adapting to faster-paced timelines, working within established processes, and collaborating with colleagues from various disciplines. Unlike academic work, where projects might be more theoretical or self-directed, real-world engineering requires balancing multiple tasks, following industry standards, and communicating effectively to ensure project success. Over time, most associate engineers develop strong problem-solving and teamwork skills, which are essential for advancement and continued success in the field.

What is the difference between Associate Engineering vs Mechanical Engineering?

AspectAssociate EngineeringMechanical Engineering
Required CredentialsAssociate degree or diploma, some certificationsBachelor's degree in Mechanical Engineering, licensure often not required initially
Work EnvironmentEntry-level, technical support, manufacturing, constructionDesign, analysis, research, manufacturing, often more autonomous
Employer & Industry UsageConstruction firms, manufacturing companies, government agenciesEngineering firms, manufacturing, aerospace, automotive industries

Associate Engineering roles typically require an associate degree and focus on technical support and implementation tasks. Mechanical Engineering positions usually demand a bachelor's degree and involve design, analysis, and problem-solving responsibilities. Both roles are essential in engineering projects but differ in education level, scope, and responsibilities.

What can I do with an associate engineering degree?

An associate engineering degree prepares individuals for technician, technologist, or support roles in fields such as civil, mechanical, electrical, or industrial engineering. Graduates can work in design, testing, maintenance, or manufacturing environments, often using tools like CAD software and adhering to safety standards. The degree can also serve as a stepping stone to further education or certifications in specialized engineering areas.

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 experience, location, and industry. 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 Engineering jobs in Worcester, MA?

The most popular types of Engineering jobs in Worcester, MA are:

What are popular job titles related to Associate Engineering jobs in Worcester, MA?

For Associate Engineering jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Associate Engineering jobs in Worcester, MA look for?

The top searched job categories for Associate Engineering jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Associate Engineering jobs?

Cities near Worcester, MA with the most Associate Engineering job openings:

Associate Engineering jobs near you
Infographic showing various Associate Engineering job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $82,456 per year, or $39.6 per hour.

Associate Scientific Technical Engineer II, PDS&T CMC

Waltham, MA • On-site

AbbVie
Scientific Research and Development Services • 10K+ employees

8.7

Company rating: 8.7 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

14th of 86 rated pharmaceutical

People enjoy working here

Good employer

Paid breaks

Learn more about AbbVieexternal

$65K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

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
AbbVie logo

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

View All AbbVie Jobs

What AbbVie employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply