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Talend Developer Jobs in Atlanta, GA (NOW HIRING)

Aimpoint Digital

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117K - $155K/yr

... * DevOps experience preferred * Experience working with cloud data warehouses (Databricks ... Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc ...

Sarian, Inc.

Enterprise Data Architect

Atlanta, GA · On-site

Strong solution implementation experience (platform engineering, developer experience) * Data ... Knowledge and experience across different data platform such as Databricks, Snowflake, Talend, dbt ...

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Talend Developer information

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How much do talend developer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for talend developer in Atlanta, GA is $59.43, according to ZipRecruiter salary data. Most workers in this role earn between $55.48 and $65.87 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Talend Developer, and why are they important?

To thrive as a Talend Developer, you need strong skills in data integration, ETL processes, and a solid understanding of SQL and databases, typically supported by a degree in computer science or a related field. Proficiency with the Talend suite of tools, knowledge of cloud platforms, and certifications such as Talend Data Integration Certification are highly valued. Analytical thinking, problem-solving abilities, and effective communication help you collaborate with teams and address complex data challenges. These skills ensure efficient data management, project success, and the ability to meet organizational data goals.

What Is the Job Description of a Talend Developer?

A Talend developer works with enterprise and product architects, program owners, and engineers to bring big data projects into production. Responsibilities include designing, developing, and documenting Talend ETL processes, technical architecture, data pipelines, and performance scaling using tools to integrate Talend data and ensure data quality in a big data environment. You administer Talend software for large-scale data integration and advise and support each client along the way. Other duties include informing source system owners of any data quality problems, performing data requirements analyses, assisting with data flow, data mapping, and more.

What is the difference between Talend Developer vs Data Engineer?

AspectTalend DeveloperData Engineer
Required SkillsProficiency in Talend, ETL processes, SQL, data integrationProgramming (Python, Java), data architecture, ETL, cloud platforms
CertificationsTalend certifications, data management certificationsCloud certifications (AWS, GCP), data engineering certifications
Work EnvironmentData integration projects, ETL development, data migrationBuilding data pipelines, data architecture, large-scale data processing
Industry UsageUsed mainly in data integration and migration projectsUsed in data infrastructure, big data, and analytics platforms

While Talend Developers focus on designing and implementing data integration solutions using Talend tools, Data Engineers build and maintain scalable data pipelines and infrastructure, often using a broader set of programming languages and cloud technologies. Both roles are essential in data management but differ in scope and technical focus.

What are Talend Developers?

Talend Developers are IT professionals who specialize in using Talend, a popular open-source data integration platform, to design, develop, and manage data integration processes. They are responsible for extracting, transforming, and loading (ETL) data from various sources, ensuring data quality, and supporting business intelligence and analytics activities. Talend Developers often work with databases, cloud environments, and other data tools to help organizations efficiently manage and leverage their data assets.

What are some common challenges a Talend Developer may face when working with large-scale data integration projects?

Talend Developers working on large-scale data integration projects often encounter challenges such as handling complex data transformations, ensuring data quality, and optimizing ETL job performance. Managing dependencies across multiple data sources and maintaining clear documentation can also be demanding, especially when collaborating with cross-functional teams. Staying updated with Talend’s evolving features and best practices is essential to deliver efficient, scalable solutions and meet project timelines.
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Talend Developer jobs near you
Infographic showing various Talend Developer job openings in Atlanta, GA as of June 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,620 per year, or $59.4 per hour.

Senior Data Engineer 2026 - US,UK

Aimpoint Digital

Atlanta, GA • On-site, Remote

$117K - $155K/yr

Full-time

Posted 14 days ago

Job description

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.

You will:

  • Become a trusted data and AI advisor to our clients, from data owners and analytic users to executive stake holders helping them translate business questions into AI-ready data architectures
  • Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries
  • Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, orchestration jobs, and analytic layers that support LLM-driven analytics, natural language querying, and agent-based workflows
  • Build and evolve semantic and analytical layers that power tools like Snowflake Cortex, Databricks Genie, BI platforms, and emerging AI Copilots
  • Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native orchestration frameworks to deliver scalable solutions, and credentialize your skills with certifications
  • Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to support AI and analytics use cases
  • Design modern data models with an emphasis on metrics layers, knowledge graphs, and semantic consistency for AI consumption
  • Write production-ready code in SQL, Python, and Spark, following software engineering tools and best-practices such as Git and CI/CD
  • Apply AI-assisted data engineering techniques for data exploration, quality checks, schema generation, documentation, lineage, and transformation acceleration
  • Contribute to the evolution of our AI-forward data engineering and infrastructure practice, including internal accelerators, patterns, and client-ready architectures
  • Collaborate with analytics, data science, and ML project teams to productionize AI-enabled analytics, features, and inference pipelines. Note: You will not be developing machine learning models or algorithms

Who you are:

We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.

As a Senior Data Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.

  • Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experienced at partnering with business stakeholders, explaining technical concepts clearly, and shaping solutions around real business outcomes
  • Passionate about modern data engineering and AI trends, including LLM powered analytics, semantic layers, vectorized data access, and metadata-driven architectures
  • Strong written and verbal communication skills required
  • 3+ years working with relational databases and query languages
  • 3+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
  • 3+ years data modeling (e.g. star schema, entity-relationship)
  • 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
  • 2+ years' experience with dbt Core and/or dbt Cloud preferred
  • Experience enabling or accelerating data platform engineering workflows with AI tools such as Codex, Claude, Copilot, Snowflake Cortex Code, and/or Databricks Genie Code preferred
  • Comfortable working independently on individual workstream, owning end-to-end delivery from design through production
  • Expertise in software engineering concepts and best practices
  • DevOps experience preferred
  • Experience working with cloud data warehouses (Databricks, Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse)preferred
  • Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.)preferred
  • Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
  • Experience working with Apache Spark preferred
  • Experience preparing data for analytics and following a data science workflow to drive business results preferred
  • Consulting experience strongly preferred
  • Willingness to travel

We are actively seeking candidates for full-time, remote work within the US and UK. Atlanta and London applicants will have the opportunity to work in our regional offices.

Employment Type: FULL_TIME

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