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Associate Talend Data Integration Jobs in Massachusetts

Deloitte

Senior Manager Data Lead

Boston, MA · On-site

... integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud ... Work You'll Do As an Associate Vice President, AI and Data Solutions on the AI & Data team, you ...

IBM

Data Engineer Intern 2027

Boston, MA · On-site

$60 - $80/hr

High-performing interns have a clear pathway into IBM's Associate Program, launching careers at one ... Data Integrations: Develop skills in writing efficient and reusable programs to cleanse, integrate ...

PTC

Associate Enterprise Integration Engineer

Boston, MA · On-site

$70K - $90K/yr

As an Associate Enterprise Integration Engineer, you will be responsible for assisting in the ... Strong Understanding of EAI design patterns Data Architecture and API concepts * Hands-on ...

Pwc

Data Engineer - Senior Manager

Boston, MA · On-site

$124K - $280K/yr

You will be responsible for developing and implementing data pipelines, data integration, and data ... Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Integrated Resources INC

Data entry associate

Lexington, MA · On-site

$18 - $23.25/hr

Company Description A Few Words About Us Integrated Resources, Inc is a premier staffing firm ... Data entry from batch records into electronic files and GMP systems, including but not limited to ...

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Associate Talend Data Integration information

What is an Associate Talend Data Integration?

Associate Talend Data Integration professionals are entry-level specialists who work with Talend, a leading data integration platform. They are responsible for designing, developing, and managing ETL (Extract, Transform, Load) processes to move and transform data across various systems. Their role often includes data mapping, cleansing, and ensuring data quality, typically under the guidance of more experienced team members. These professionals help organizations leverage Talend's tools to streamline data workflows and enable better business insights. They may also assist in troubleshooting and performance tuning to optimize data integration solutions.

What are the key skills and qualifications needed to thrive as an Associate Talend Data Integration?

To thrive as an Associate Talend Data Integration specialist, you need a solid understanding of data integration concepts, ETL processes, and a degree in computer science or a related field. Familiarity with Talend Data Integration tools, SQL, and experience with databases or cloud platforms are typically required, and Talend certification is highly beneficial. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills ensure accurate data transformations, successful project delivery, and seamless collaboration with business and technical teams.

What are some common challenges faced by an Associate Talend Data Integration, and how can they be addressed?

Associate Talend Data Integration professionals often encounter challenges such as troubleshooting complex data transformation errors, managing large volumes of data efficiently, and adapting to evolving data source requirements. To overcome these, it's important to develop a strong foundation in ETL best practices, actively collaborate with data architects and business analysts for clear requirements, and leverage Talend's documentation and community resources. Regularly reviewing data quality and maintaining clear documentation of processes can also help streamline troubleshooting and foster effective teamwork.

What is the difference between Associate Talend Data Integration vs Data Integration Specialist?

AspectAssociate Talend Data IntegrationData Integration Specialist
CredentialsBasic knowledge of Talend, relevant certificationsAdvanced certifications, experience with multiple tools
Work EnvironmentEntry-level projects, team collaborationComplex data environments, project leadership
Industry UsageEntry-level roles in data teams across industriesMid-level roles with broader responsibilities

The Associate Talend Data Integration role typically involves supporting data integration tasks using Talend, focusing on learning and executing predefined processes. In contrast, a Data Integration Specialist handles more complex projects, requires advanced skills, and often leads initiatives. The associate role is ideal for those starting in data integration, while the specialist position demands deeper expertise and experience.

What are the most commonly searched types of Talend Data Integration jobs in Massachusetts?

The most popular types of Talend Data Integration jobs in Massachusetts are:

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For Associate Talend Data Integration jobs in Massachusetts, the most frequently searched job titles are:

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The top searched job categories for Associate Talend Data Integration jobs in Massachusetts are:

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Cities in Massachusetts with the most Associate Talend Data Integration job openings:

Associate Talend Data Integration jobs near you

Associate Engineering Fellow -Process Knowledge & Data Architecture

Takeda Pharmaceutical Company Limited

Cambridge, MA • On-site

Full-time

Re-posted 12 days ago

Takeda Pharmaceuticals rating

7.3

Company rating: 7.3 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

70th of 86 rated pharmaceutical

Job description

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
Job Description
OBJECTIVE:
Synthetic Molecule Process Development (SMPD) is responsible for the development of robust, sustainable and cost-effective processes for the manufacture of new synthetic molecule pharmaceuticals, along with methods for achieving and controlling high standards of purity and quality.
The Associate Engineering Fellow, Process Knowledge & Data Architecture will lead the design and implementation of a scalable, integrated data and knowledge architecture to support process development across SMPD. This role sits at the intersection of process science, data engineering, and digital strategy, enabling model-informed development and AI-driven workflows by transforming fragmented experimental and manufacturing data into structured, reusable knowledge assets.
Working across matrix teams, the individual will define and implement SMPD's data and knowledge strategy, enable data-driven decision-making, model development, and digital workflows, transforming fragmented datasets into a unified, high-value knowledge layer that accelerates development, improves process understanding, and supports lifecycle management.
ACCOUNTABILITIES:
  • Own SMPD's Knowledge Layer: Lead the design, governance, and lifecycle management of structured reaction, process, vessel, and material databases, establishing a unified and reusable process knowledge layer.
  • Architect Connected Data Systems: Design, implement, and govern integrated data architectures linking chemistry, process parameters, scale, equipment attributes, and analytical results across laboratory and manufacturing environments (e.g., ELN, LIMS, PAT, MES).
  • Enable Model-Informed Development: Build and maintain scalable data pipelines that transform laboratory and manufacturing data into reusable assets for mechanistic modeling, development of digital twins, and AI/ML applications.
  • Drive FAIR & Data Standards: Define metadata models, ontologies, and data standards; enable ELN/PAT/TDP ingestion pipelines; and implement FAIR data principles to ensure data is findable, accessible, interoperable, and reusable.
  • Ensure Governance & Compliance: Establish and enforce data governance frameworks, ensuring data quality, traceability, auditability, and lifecycle controls aligned with regulatory expectations (e.g., cGMP, data integrity).
  • Drive Data Integration & Interoperability: Integrate disparate data sources and systems, eliminating silos and enabling a "single source of truth" across process development workflows.
  • Partner Across Functions: Collaborate with Process Development, Modeling, Automation, and Engineering teams to ensure data is generated, captured, and structured to support advanced analytics, modeling, and decision-making.
  • Bridge Science and Digital: Translate process development needs into data architecture and platform requirements, working closely with IT, data engineering, and digital teams to implement scalable, secure, and compliant solutions.
  • Enable Data-Driven Decision Making: Develop data access, visualization, and reporting capabilities (e.g., dashboards) that support project teams and leadership in making informed decisions.
  • Lead Technology Implementation: Support the selection, deployment, and integration of digital platforms (e.g., cloud environments, data lakes, APIs), ensuring scalability and alignment with enterprise architecture.
  • Shape Strategy & Sustainability: Define SMPD's connected data and model roadmap, identify and close architecture gaps, and partner with IT and Digital teams to ensure interoperability and long-term platform sustainability.
  • Own Digital Twin Architecture & Governance: Define model standards, validation frameworks, version control, and lifecycle management for predictive and hybrid models deployed across development and manufacturing.
  • Champion Data Culture & Capability Building: Promote best practices in data management, standards, and reuse; train and support scientists and engineers in adopting digital tools and workflows.
  • Lead External Benchmarking & Best Practices: Stay informed on industry trends, emerging technologies, and regulatory expectations to continuously evolve SMPD's data and knowledge capabilities.
  • Operate in Matrix Teams: Influence and align cross-functional stakeholders to deliver integrated data solutions without direct authority. Operates as a technical leader within matrix teams, influencing stakeholders and driving alignment across functions without direct authority.
  • Proactively identify vendors and builds relationships to gain access to technologies as needed to deliver against goals.
  • Manage key vendor relationships across multiple projects as appropriate, and proactively affects resolution of issues arising at vendors.
  • Represent Takeda and is an active member on pre-competitive collaborations with academic and industrial partners.
  • Responsible for authoring relevant sections of regulatory documents, reports and peer reviewed manuscripts.

EDUCATION, EXPERIENCE AND SKILLS:
Education and Experience:
Required:
  • PhD in Chemical Engineering, Chemistry, Data Science, or related field with 7+ years of relevant experience, or
  • MS with 13+ years, or BS with 15+ years of relevant experience.
  • Strong expertise in data architecture, data modeling, and data integration, preferably within pharmaceutical R&D or manufacturing environments.
  • Experience working with scientific data systems (e.g., ELN, LIMS, MES) and integrating laboratory and manufacturing datasets.
  • Proven experience designing scalable data platforms and pipelines, including cloud-based architectures (e.g., AWS, Azure) and modern data stacks.
  • Strong understanding of data governance, metadata management, and FAIR data principles.
  • Experience enabling analytics, modeling, or AI/ML applications through structured data frameworks.
  • Understanding of pharmaceutical process development and/or manufacturing workflows, including CMC and cGMP considerations.
  • Demonstrated ability to work in cross-functional, matrix environments, influencing stakeholders across scientific and technical domains.
  • Strong communication skills, with the ability to translate complex technical concepts into actionable insights for diverse audiences.

Optional (Preferred Qualifications)
  • Experience with ontologies, knowledge graphs, or semantic data models
  • Experience supporting digital twins, advanced process control, or hybrid modeling
  • Track record of driving enterprise data initiatives or platform deployments
  • Experience with regulatory data integrity requirements (e.g., ALCOA+)

Knowledge and Skills:
  • Analytical and Problem Solving Skills - Able to troubleshoot critical issues or problems using appropriate information and, determine causes and possible solutions
  • Teamwork -- Ability to work well on global cross-functional teams.
  • Communication Skills -Able to express oneself clearly and concisely within team; documents issues and/or concerns concisely with colleagues; adjusts communication style as appropriate for the audience; timely and effectively communicates with senior management; technical writing skills to support authorship and approval of internal technical documents
  • Organization - Exercises good time management and prioritization skills to balance multiple project and departmental objectives
  • Technical - Subject matter expertise in a specific scientific area or areas. Demonstrated ability to successfully contribute across multiple scientific endeavors
  • Knowledge Sharing - Ability to capture knowledge within the organization; improves solutions, processes, and deliverables through use of information; improves information capital by contributing experience, theories, deliverables, and models for others to use
  • Resource Management -Project management skills; ability to manage one's time within individual, departmental, and corporate goals and timelines; management of internal and external resources (vendors)
  • External Involvement - Demonstrated involvement in professional community evidenced by presentation of scientific posters or lectures at professional conferences or events. Interacts with external vendors for projects
  • Leadership Skills - Develops and uses knowledge and interpersonal skills to appropriately influence and guide others towards the accomplishment of department/function goals and objectives.

TRAVEL REQUIREMENTS:
May require approximately 10% travel.
Takeda Compensation and Benefits Summary
We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
For Location:
Cambridge, MA
U.S. Base Salary Range:
$154,400.00 - $242,550.00
The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.
For information about our benefits, please click here.
EEO Statement
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.
Locations
Cambridge, MA
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time
Job Exempt
Yes
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

What Takeda Pharmaceuticals employees say

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About Takeda Ventures

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Industry

Investment clubs and venture capital companies, pharmaceutical product wholesalers and pharmaceutical and medicine manufacturing

Company size

1 - 10 Employees

Headquarters location

San Diego, CA, US

Social media

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