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Senior Talend Developer Jobs in New York (NOW HIRING)

Senior ETL Developer

Manhattan, NY ยท On-site

$105K - $115K/yr

Design, build, and optimize ETL/ELT pipelines using tools like Informatica, Talend, SSIS, DataStage ... Collaborate with Data Analysts, BI Developers, Data Scientists, and Business Teams * Understand ...

BI Architect

Iselin, NJ ยท On-site

Mentor junior BI developers and analysts. * Required Skills & Qualifications Technical Skills ... Experience with ETL tools (e.g., Talend, Informatica) and data modeling (Star/Snowflake schemas)

BI Architect

Iselin, NJ ยท On-site

Mentor junior BI developers and analysts. * Required Skills & Qualifications Technical Skills ... Experience with ETL tools (e.g., Talend, Informatica) and data modeling (Star/Snowflake schemas)

Associate Data Engineer

Bridgewater, NJ ยท On-site

$75K - $95K/yr

Working under guidance from senior team members, the Associate Data Engineer develops ETL/ELT ... Airflow, Data Factory, Informatica, Talend, SSIS, or equivalent data integration tools. * Exposure ...

... engineering, developer experience) - Data modelling and architecting skills including strong ... Snowflake, Talend, dbt, Data Virtualization tools - Demonstrated experience in Big Data, data ...

Showing results 21-40

Senior Talend Developer information

What is a senior Talend developer?

Senior Talend Developers are experienced IT professionals who specialize in using Talend, a leading data integration and management platform, to design, develop, and maintain complex data solutions. They are responsible for building and optimizing data pipelines, integrating data from various sources, and ensuring data quality and consistency. In addition to technical expertise, they often mentor junior developers, participate in architectural decisions, and collaborate closely with business stakeholders to deliver data-driven solutions that meet organizational needs.

What are the key skills and qualifications needed to thrive as a senior Talend developer?

To thrive as a Senior Talend Developer, you need strong expertise in data integration, ETL processes, and a solid background in computer science or related fields. Proficiency in Talend Data Integration Suite, SQL databases, and familiarity with big data platforms and cloud services are typically required, with Talend certifications being a significant asset. Excellent problem-solving abilities, attention to detail, and strong communication skills help in translating business requirements into scalable data solutions. These skills ensure efficient data workflows, high-quality deliverables, and successful collaboration across technical and business teams.

What are some common challenges faced by senior Talend developers when integrating data from multiple sources?

Senior Talend Developers often encounter challenges such as handling inconsistent data formats, ensuring data quality across disparate systems, and optimizing job performance during large-scale data migrations. Collaboration with business analysts and database administrators is key to understanding source and target requirements and resolving conflicts. Additionally, staying updated with the latest Talend features and troubleshooting complex ETL processes are ongoing aspects of the role.

What is the difference between Senior Talend Developer vs Data Engineer?

AspectSenior Talend DeveloperData Engineer
Required CredentialsExperience with Talend, SQL, ETL toolsExperience with data pipelines, SQL, cloud platforms
Work EnvironmentData integration projects, ETL developmentBuilding data infrastructure, pipelines, and architecture
Employer & Industry UsageIT, finance, healthcare, retailTech companies, finance, e-commerce, analytics
Common Search & ComparisonYesYes

The main difference between a Senior Talend Developer and a Data Engineer lies in their focus areas. Senior Talend Developers specialize in designing and implementing ETL processes using Talend tools, while Data Engineers build and maintain the broader data infrastructure and pipelines. Both roles require strong SQL skills and experience with data integration, but Data Engineers often work with a wider range of tools and cloud platforms. Employers in various industries seek both roles for data management and analytics projects.

What are the most commonly searched types of Talend Developer jobs in New York?

The most popular types of Talend Developer jobs in New York are:

What job categories do people searching Senior Talend Developer jobs in New York look for?

The top searched job categories for Senior Talend Developer jobs in New York are:

Infographic showing various Senior Talend Developer job openings in New York as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 66% In-person, and 34% Remote job distribution.

Senior Data Engineer with MDM experience

Realtech Services

New York, NY โ€ข On-site

$116K - $157K/yr

Full-time

Re-posted 10 days ago


Job description


We are seeking a highly skilled and experienced Senior Data Engineer specializing in Master Data Management (MDM) to join our data team. The ideal candidate will have a strong background in designing, implementing, and managing end-to-end MDM solutions, preferably within the financial sector. Candidate will be responsible for architecting robust data platforms, evaluating MDM tools, and aligning data strategies to meet business needs.
Responsibilities:
Lead the design, development, and deployment of comprehensive MDM solutions across the organization, with an emphasis on financial data domains.
Demonstrate extensive experience with multiple MDM implementations, including platform selection, comparison, and optimization.
Architect and present end-to-end MDM architectures, ensuring scalability, data quality, and governance standards are met.
Evaluate various MDM platforms (e.g., Informatica, Reltio, Talend, IBM MDM, etc.) and provide objective recommendations aligned with business requirements.
Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively.
Implement data integration pipelines leveraging modern data engineering tools and practices.
Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer.
Build and optimize data processing solutions using Kafka, Databricks, Snowflake, Azure Data Factory (ADF), and related technologies.
Design microservices, especially utilizing GraphQL, to enable flexible and scalable data services.
Ensure compliance with data governance, data privacy, and security standards.
Support CI/CD pipelines for continuous integration and deployment of data solutions.
Requirements:
12+ years of experience in data engineering, with a proven track record of MDM implementations, preferably in the financial services industry.
Extensive hands-on experience designing and deploying MDM solutions and comparing MDM platform options.
Strong functional knowledge of reference data sources and domain-specific data standards.
Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer.
Familiarity with CI/CD practices, tools, and automation pipelines.
Ability to work collaboratively across teams to deliver complex data solutions.
Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).
Preferred, but not required:
Familiarity with financial data models and regulatory requirements.
Experience with Azure cloud platforms
Knowledge of data governance, data quality frameworks, and metadata management.