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Full Time Talend Developer Jobs in Dallas, TX (NOW HIRING)

Irving, TX (Onsite) Employment Type: Full-Time Visa Type: USC / GC Only ✅ Must-Have Qualifications: ✔ 8-22 years of experience in Data Engineering and Databricks Development ✔ Strong hands-on ...

Irving , TX / Tampa,FL / Jersey City , NJ(onsite) Job Type: Full time Must Have Technical ... Proficiency in data integration platforms such as Apache Spark or Talend * Big Data: Experience of ...

Denodo Lead Developer

Plano, TX · On-site

$56.50 - $74/hr

W2/Full Time Role Job Summary We are seeking an experienced Denodo Lead Developer to lead the ... Oracle, SQL Server, PostgreSQL, MySQL * ETL tools such as Informatica, Talend, SSIS, or DataStage

Full Time Talend Developer information

See Dallas, TX salary details

$8

$61

$88

How much do full time talend developer jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for full time talend developer in Dallas, TX is $61.14, according to ZipRecruiter salary data. Most workers in this role earn between $57.07 and $67.79 per hour, depending on experience, location, and employer.

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

To thrive as a Full Time Talend Developer, you need expertise in ETL processes, data integration concepts, and proficiency with Talend Data Integration tools, often supported by a degree in computer science or a related field. Familiarity with databases (SQL/NoSQL), cloud platforms, and relevant certifications like Talend Data Integration Certification are highly beneficial. Strong problem-solving skills, attention to detail, and effective communication set exceptional Talend Developers apart. These skills ensure efficient data processing, robust integration solutions, and collaboration with cross-functional teams to meet business data needs.

What is a full time Talend developer?

A Full Time Talend Developer is a professional who specializes in using Talend, a popular data integration and management tool, to design, develop, and maintain data pipelines and ETL (Extract, Transform, Load) processes for organizations. Working full time means they are dedicated employees, typically working 35-40 hours per week, as opposed to part-time or contract roles. Their responsibilities include integrating various data sources, ensuring data quality, troubleshooting data issues, and collaborating with other IT teams to support business intelligence and analytics needs.

What is the difference between Full Time Talend Developer vs Data Integration Specialist?

AspectFull Time Talend DeveloperData Integration Specialist
CredentialsTypically requires Talend certifications, SQL, and data management skillsOften requires similar certifications, SQL, and data tools knowledge
Work EnvironmentWorks in IT teams, developing ETL processes using TalendWorks in data teams, focusing on integrating data across systems
Industry UsageCommon in finance, healthcare, retail, and tech sectorsUsed across various industries requiring data integration

Both roles involve data integration and often require similar skills and certifications. The Full Time Talend Developer specifically focuses on developing and maintaining ETL processes using Talend software, while the Data Integration Specialist may work with multiple tools and focus more broadly on data flow and system integration. The choice depends on the specific tools and responsibilities preferred by the employer or job seeker.

What are some typical challenges full time Talend developers face when working on large-scale data integration projects?

Full Time Talend Developers often encounter challenges such as managing complex data mappings, optimizing ETL workflows for performance, and ensuring data quality across multiple sources. Collaborating with data architects, business analysts, and QA teams is essential to understand requirements and validate outputs. Additionally, maintaining and updating Talend jobs to accommodate evolving business needs can require strong problem-solving skills and a proactive approach to documentation and testing.
What are the most commonly searched types of Talend Developer jobs in Dallas, TX? The most popular types of Talend Developer jobs in Dallas, TX are:
What are popular job titles related to Full Time Talend Developer jobs in Dallas, TX? For Full Time Talend Developer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Full Time Talend Developer jobs in Dallas, TX look for? The top searched job categories for Full Time Talend Developer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Full Time Talend Developer jobs? Cities near Dallas, TX with the most Full Time Talend Developer job openings:
Infographic showing various Full Time Talend Developer job openings in Dallas, TX as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $127,166 per year, or $61.1 per hour.

Snowflake Developer || Westlake, TX || Rhode Island || Fulltime

Smart IT Frame

Westlake, TX • On-site

Full-time

Re-posted 14 days ago


Job description

Role: Snowflake Developer 

Location: Westlake, TX,  Rhode Island

Position : Fulltime Only
Visa :-  GC , GC EAD , H4 EAD, H4, USC , L2EAD 

Job Description:

We are seeking a highly skilled Snowflake Developer to join our data engineering/analytics team. The ideal candidate will design, develop, and optimize scalable data models, pipelines, and transformations in Snowflake using dbt (data build tool). This role requires strong SQL expertise, data modeling knowledge, and the ability to work closely with business and analytics teams to deliver clean, reliable, and well-documented data solutions.

Key Responsibilities

·                Bachelor’s degree in Computer Science, Information Systems, or a related field.

·                3–6 years of hands-on experience with Snowflake in a data engineering or analytics environment.

·                Proficiency in SQL and dbt for data transformation and modeling.

·                Strong understanding of data warehousing concepts, including star/snowflake schemas and dimensional modeling.

·                Experience with ETL/ELT design patterns and data pipeline orchestration tools (e.g., Airflow, Azure Data Factory, Prefect).

·                Experience in performance tuning, data partitioning, and cost optimization in Snowflake.

·                Excellent problem-solving, analytical, and communication skills