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Associate Talend Data Integration Jobs in Boston, MA

Novartis

Clinical Data Engineering Lead

Cambridge, MA · On-site

Novartis Biomedical Research is searching for a visionary Associate Director to lead Clinical Data ... • Integrate advanced tools and AI/ML-ready infrastructure to support predictive modeling ...

Novartis

Clinical Data Engineering Lead

Cambridge, MA · On-site

$176K - $327K/yr

Novartis Biomedical Research (NBR) is searching for a visionary Associate Director to lead Clinical ... Integrate advanced tools and AI/ML-ready infrastructure to support predictive modeling, multimodal ...

Warrior Sports, Inc.

Director, Data Products

Boston, MA · On-site

$198.90 - $258.30/hr

... modeling, data integration patterns, BI/semantic layers, experimentation/measurement, and ... associates to ensure that employment, training, compensation, transfer, promotion and other terms ...

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 ...

NorthEastern

Postdoctoral Research Associate

Boston, MA · On-site

$60K - $85K/yr

The Postdoctoral Research Associate will receive professional development training, gain valuable ... data integration, systems biology, biophysics, and drug discovery and maintain knowledge of ...

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Showing results 21-40

All JobsAssociate Talend Data Integration JobsAssociate Talend Data Integration Jobs in Boston, MA

Associate Talend Data Integration information

See Boston, MA salary details

$11.9K

$90.6K

$142.3K

How much do associate talend data integration jobs pay per year?

As of Aug 12, 2026, the average yearly pay for associate talend data integration in Boston, MA is $90,571.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,400.00 and $102,700.00 per year, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Associate Talend Data Integration jobs in Boston, MA? For Associate Talend Data Integration jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Associate Talend Data Integration jobs in Boston, MA look for? The top searched job categories for Associate Talend Data Integration jobs in Boston, MA are:
Associate Talend Data Integration jobs near you
Infographic showing various Associate Talend Data Integration job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $90,571 per year, or $43.5 per hour.

Adjunct Instructor in Data Management, Integration, and Applied Analytics

Brandeis University

Waltham, MA • On-site

$6.5K/mo

Part-time

Re-posted 20 days ago

Job description

Brandeis University's Online Information Technology Management Program is seeking an Adjunct Faculty member for RITM 125 Data Management, Integration, and Applied Analytics for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Information Technology Management.
This course focuses on enterprise data lifecycle management, data modeling, integration workflows, and applied analytics. Students work with data from multiple sources to design structures and processes that support decision-making, quality, and accessibility.
Core Course Responsibilities Summary
  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.
  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.
  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.
  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:
  • Required:
    • Master's degree in Data Science, Information Systems, Computer Science, Data Engineering, Business Analytics, or a closely related field
    • Minimum 3 years of professional experience in enterprise data management, data integration, analytics, or data architecture
    • Demonstrated expertise in data modeling, database design (SQL and NoSQL), ETL/ELT workflows, and data lifecycle management
    • Experience working with analytics tools or programming languages used in applied analytics (e.g., Python, R, SQL, Power BI, Tableau)
    • Minimum 1 year experience developing asynchronous online courses for adult learners in higher education
    • At least 1 year of teaching or training experience (preferably online/asynchronous)
    • Experience with online instruction
    • Excellent communication and teaching skills in an online learning environment.
  • Preferred:
    • Doctorate (PhD or DBA) in Data Science, Information Systems, Computer Science, Analytics, or related field
    • 5+ years of experience in data architecture, enterprise analytics strategy, data governance, or business intelligence leadership
    • Professional experience as a Data Architect, Data Engineer, Analytics Director, BI Lead, or Enterprise Data Strategist
    • Experience with enterprise data governance frameworks and data quality management practices
    • Industry certifications such as Certified Data Management Professional (CDMP), AWS Data Analytics, Azure Data Engineer Associate, Google Professional Data Engineer, or equivalent
    • Prior online teaching experience at the graduate level
    • Knowledge of global learner personas and culturally responsive pedagogy
    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Interested candidates should submit:
A cover letter highlighting relevant qualifications and teaching experience.
A current CV or resume.
Contact information for three professional references.
Application review begins June 1, 2026 though we will continue to accept submissions on an ongoing basis.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
Compensation for this positon is: $6573.15
Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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