Data Integration Developer Job Description [Updated for 2025]

In the era of big data, the demand for data integration developers is skyrocketing.

As technology continues to advance, the need for skilled professionals who can effectively merge, manage, and protect our complex data structures is becoming increasingly critical.

But what is the real expectation from a data integration developer?

Whether you are:

• A job seeker trying to understand the core responsibilities of this role,
• A hiring manager outlining the perfect candidate,
• Or simply interested in the intricacies of data integration,

You’ve come to the right place.

Today, we present a fully customizable data integration developer job description template, designed for effortless posting on job boards or career sites.

Without further ado, let’s dive in.

Data Integration Developer Duties and Responsibilities

Data Integration Developers are responsible for managing and unifying large amounts of data from various sources into coherent, usable data sets.

They use their expertise in programming languages and data management tools to ensure the integrity and security of the data.

Their duties and responsibilities include:

• Design, develop, test, and deploy data integration processes between disparate systems
• Understand and translate business needs into data models
• Collaborate with data architects, modelers and IT team members on project goals
• Work with data governance team to ensure compliance with data security and privacy policies
• Perform data analysis of key problem areas to assist in root cause analysis
• Research new opportunities for data acquisition and new uses for existing data
• Create and maintain documentation related to data integration processes and workflows
• Assist in the diagnosis and resolution of system and data issues
• Improve and streamline processes regarding data flow and data quality to improve data accuracy, viability and value

 

Data Integration Developer Job Description Template

Job Brief

We are seeking a dedicated Data Integration Developer to design, build and maintain efficient, reusable, and reliable data pipelines.

Responsibilities include data ingestion, data transformation, and data modeling.

The successful candidate will have a strong understanding of ETL (Extract, Transform, Load) processes and relational database systems.

Our ideal candidate is familiar with the entire data integration life cycle, from data extraction from various sources to transformation and loading into target systems.

Ultimately, the role of the Data Integration Developer is to ensure efficient and accurate flow of data within the company in line with industry standards and company policies.

 

Responsibilities

• Design, build, and maintain efficient, reusable, and reliable data pipelines
• Develop and maintain ETL processes
• Ensure performance, security, and availability of databases
• Prepare data for prescriptive and predictive modeling
• Implement data flow solutions for real-time and batch data processing
• Resolve data-related problems and ensure data quality and integrity
• Perform tests and evaluations regularly to ensure data security, privacy and integrity
• Collaborate with team members and stakeholders to understand and address data needs
• Maintain and support data analytics platforms

 

Qualifications

• Proven work experience as a Data Integration Developer or similar role
• Proficiency in SQL and experience with database technologies (MySQL, MS SQL, PostgreSQL Oracle, MongoDB)
• Experience with ETL tools (such as Informatica, SSIS, Talend)
• Familiarity with big data tools (like Hadoop, Spark, Kafka)
• Knowledge of data warehousing, data modeling and data architecture
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• BS degree in Computer Science, Engineering or relevant field

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Professional development opportunities

 

Additional Information

• Job Title: Data Integration Developer
• Work Environment: Office setting with options for remote work. Some travel may be required for team meetings or project consultations.
• Reporting Structure: Reports to the Data Integration Manager or Data Engineering Manager.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $90,000 minimum to $150,000 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does a Data Integration Developer Do?

Data Integration Developers are IT professionals who work either independently or for various corporations across industries.

Their primary responsibility is to design, code, and test systems that integrate data from various sources into one unified view.

They work closely with other IT professionals, such as Software Developers and Database Administrators, to develop, implement, and maintain the company’s data integration systems.

They also collaborate with business analysts to understand the data requirements of the organization, and devise strategies for data collection, integration, and retention.

Their job involves writing complex SQL queries, scripts, and stored procedures to extract, transform, and load data from different systems.

They also develop and design interfaces, data flows, and data mappings using integration tools.

Data Integration Developers also ensure the accuracy and integrity of data by implementing data quality rules.

They troubleshoot integration issues, and debug and tune the system for optimal performance.

They are often tasked with providing technical documentation of data flows, data models, and system designs for future reference.

They also continually monitor, refine, and report on the performance of the data integration environment.

Data Integration Developers are instrumental in enabling organizations to make data-driven decisions by providing a unified view of data from various sources.

 

Data Integration Developer Qualifications and Skills

A proficient Data Integration Developer should have skills and qualifications that align with your job description, such as:

• Strong technical skills in data integration tools like SQL, ETL, and APIs to extract, transform and load data from different sources.
• Effective problem-solving skills to troubleshoot and resolve data-related issues and ensure the reliability and accuracy of data.
• Expert knowledge in databases and data modeling to design and implement efficient and robust data integration solutions.
• Strong analytical skills to understand business requirements and convert them into data models and integration processes.
• Exceptional communication skills to liaise with stakeholders, understand their needs and explain complex data integration processes in a clear, understandable manner.
• Understanding of data privacy and security principles to ensure the protection of sensitive data during data integration processes.
• Ability to work collaboratively with data scientists, analysts, and other team members to deliver data integration projects.
• Attention to detail in order to ensure the accuracy of data integration and to detect any anomalies or discrepancies in data sets.
• Knowledge of cloud platforms and big data technologies for handling and integrating large volumes of data.

 

Data Integration Developer Experience Requirements

Entry-level Data Integration Developers should typically have 1 to 2 years of experience, either through internships, relevant coursework, or part-time roles in data management or IT.

They should have hands-on experience with data integration tools like SQL, ETL, and APIs.

Candidates with 2 to 3 years of experience would typically have been involved in designing and building data integration processes, worked with cross-functional teams to ensure data accuracy and consistency, and have some knowledge of data warehousing concepts.

Those with 4 to 5 years of experience or more should have a deep understanding of data models and structures, as well as proficiency in data integration techniques.

They should be able to troubleshoot and resolve data integration issues, and develop strategies to improve data reliability and quality.

Candidates with over 5 years of experience in the field may be ready for more leadership-oriented roles.

They are expected to lead the design, development and implementation of data integration solutions, and mentor junior developers.

They may also be involved in strategic decision-making regarding data integration and data management policies.

 

Data Integration Developer Education and Training Requirements

Data Integration Developers typically require a bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.

Their coursework should have a strong foundation in databases, data structures, SQL, and programming languages like Java, Python, and XML.

A detailed understanding of data warehousing concepts, ETL (Extract, Transform, Load) process, and business intelligence is highly beneficial.

An advanced degree such as a Master’s or PhD in a related field could be advantageous for certain complex roles or for career advancement.

Given the rapidly evolving nature of technology and data handling, data integration developers are often expected to continuously update their knowledge through professional development courses or certifications.

These may include vendor-specific certifications for tools like Informatica, Microsoft SQL Server Integration Services (SSIS), or Oracle Data Integrator.

Strong problem-solving skills, communication skills, and the ability to translate complex data-related issues into understandable terms for non-technical colleagues are also critical for success in this role.

Relevant work experience, often through internships or entry-level positions, is also commonly required.

 

Data Integration Developer Salary Expectations

A Data Integration Developer can expect to earn an average salary of $92,046 (USD) per year.

However, the actual compensation may vary depending on the individual’s level of experience, technical skills, educational background, and the location of the job.

Certain employers may also offer higher salaries based on the complexity and scope of the data integration projects.

 

Data Integration Developer Job Description FAQs

What skills does a Data Integration Developer need?

Data Integration Developers should have strong technical skills with a background in computer science, including strong proficiency in SQL and working knowledge of programming languages like Python or Java.

They must also be proficient in data integration tools like Informatica, Talend, or Microsoft SSIS.

A deep understanding of data architecture, ETL processes, and data warehousing is crucial.

In addition, they should have strong problem-solving skills and the ability to work collaboratively in a team.

 

Do Data Integration Developers need a degree?

Most Data Integration Developers have a bachelor’s degree in Computer Science, Information Systems, or a related field.

Some positions may require a master’s degree or equivalent experience.

Additional certifications in data integration tools, like Informatica or Talend, can also be beneficial.

 

What should you look for in a Data Integration Developer resume?

Look for a strong educational background in a relevant field, along with proven experience in data integration projects.

Specific experience with ETL tools like Informatica, Talend, or Microsoft SSIS is important.

Knowledge of SQL and programming languages like Python or Java is also key.

Beyond technical skills, look for evidence of good problem-solving skills and team collaboration.

 

What qualities make a good Data Integration Developer?

A good Data Integration Developer is detail-oriented, ensuring the accuracy and integrity of data when integrating different sources.

They are problem solvers who can find efficient solutions to complex data challenges.

Good Data Integration Developers are also excellent communicators, able to explain technical concepts to non-technical stakeholders, and work well in a team setting.

 

What are the daily duties of a Data Integration Developer?

On a typical day, a Data Integration Developer may work on developing, testing, and maintaining ETL processes.

They may spend time analyzing data sources for integration, designing data models, and writing SQL or other codes.

They may also need to troubleshoot and optimize existing data systems.

Additionally, they often collaborate with other IT team members and communicate with stakeholders to understand their data needs and report on project progress or issues.

 

Conclusion

So there you have it.

Today, we’ve given you a sneak peek behind the scenes of the world of a Data Integration Developer.

And guess what?

It’s not just about merging data.

It’s about crafting seamless data structures that fuel our digital world, one integration at a time.

With our comprehensive Data Integration Developer job description template and real-world examples, you’re well-equipped to take the next step.

But why stop there?

Immerse yourself further with our job description generator. It’s your ultimate guide to precision-crafted job listings or tailoring your resume to shine.

Remember:

Every data integration is a part of the larger digital ecosystem.

Let’s build that future. Together.

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