1

Data Integration Developer Jobs (NOW HIRING)

Python Data Integration Developer

Manhattan, NY · On-site

$55.25 - $76.25/hr

Python Data Integration Developer Basic Information * Experience Level: 5-10 years Required Skills * Strong Python 3.x experience for data ingestion and transformation. * DataFrame processing ...

Data/AI/ML Integration Developer Location: New York, NY Role Summary: Create secure, scalable integration pipelines and APIs connecting clinical systems, Snowflake data stores, and AI model endpoints.

Data Integration Engineer Location: Dallas TX Duration: 6 to 12+ Months Technical Skills: * Proficient in Apache Kafka concepts (producers, consumers, topics, partitioning, etc.) * Expertise in ...

Data Integration Developer experienced in migrating DB2| SQL| PostgreSQL Roles & Responsibilities • Extensive experience in data integration, ETL development, and processing data within cloud ...

Krispy Kreme's Data Integration Engineer will be responsible for designing, implementing, and maintaining data integration solutions, creating robust data integration pipelines that connect B2B ...

New

next page

Showing results 1-20

Data Integration Developer information

See salary details

$10

$51

$84

How much do data integration developer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for data integration developer in the United States is $51.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $58.17 per hour, depending on experience, location, and employer.

What is the difference between Data Integration Developer vs Data Engineer?

AspectData Integration DeveloperData Engineer
Required CredentialsBachelor's in CS, IT, or related field; certifications like Talend or InformaticaBachelor's or higher in CS, Software Engineering; certifications in cloud platforms or big data tools
Work EnvironmentCollaborates with data analysts, ETL teams, and business units; often in IT or data teamsWorks on data pipelines, architecture, and infrastructure; in data engineering or data platform teams
Employer & Industry UsageUsed across industries for data migration, integration, and ETL processesUsed in data-heavy industries for building scalable data systems and pipelines

While both roles focus on data handling, Data Integration Developers primarily design and implement data pipelines for integration and ETL tasks, whereas Data Engineers build and maintain the infrastructure and architecture for large-scale data processing. The roles often overlap but differ in scope and technical focus.

What does a Data Integration Developer do?

A Data Integration Developer is responsible for designing, building, and maintaining systems that combine data from different sources into a unified view for analysis and reporting. They work with various data formats and platforms, develop ETL (Extract, Transform, Load) processes, and ensure the accuracy and efficiency of data flow across an organization. Their role often involves collaborating with data architects, analysts, and other IT professionals to support business intelligence and data warehousing initiatives.

What are some common challenges Data Integration Developers face when working with diverse data sources, and how can they be addressed?

Data Integration Developers often encounter challenges when connecting and consolidating data from a variety of sources with different formats, structures, and protocols. Issues like inconsistent data quality, incompatible data schemas, and real-time synchronization can arise. Addressing these challenges typically involves robust data mapping, implementing data validation rules, and using middleware or ETL (Extract, Transform, Load) tools that support multiple data formats. Effective communication with stakeholders and thorough documentation also help ensure smooth integration processes.

What is a data integration developer?

A data integration developer designs and implements processes to combine data from multiple sources into a unified system, often using tools like ETL (Extract, Transform, Load) platforms. They ensure data accuracy, consistency, and accessibility for analytics and business operations, typically working with databases, scripting languages, and data management tools.

What Is a Data Integration Developer?

A data integration developer uses a wide set of skills to support the performance of a data warehouse, from analyzing and managing information to supporting team members and thinking creatively to solve problems. Duties include studying data sources and data models, planning data solutions, delivering data integrations, setting mediated schemas through databases, and mentoring coworkers to follow procedures and answer technical questions. Job qualifications typically include a bachelor’s degree in computer science or software engineering and experience in computer programming and mathematics. Consulting and communication skills are helpful in this career.

Is data integration a good career?

Data integration is a viable career path for those interested in working with data pipelines, ETL tools, and database management. It offers opportunities in various industries, often requiring skills in SQL, scripting, and familiarity with platforms like Informatica or Talend. The role typically involves problem-solving and continuous learning to adapt to evolving data technologies.

Is AI replacing data entry jobs?

AI technology is automating many data entry tasks, which can reduce the need for manual input roles. Data Integration Developers often work with automation tools and AI systems to improve efficiency, but human oversight remains important for complex or error-sensitive data processes.

Which is the hardest field in it?

In the role of a Data Integration Developer, the most challenging aspects often involve managing complex data workflows, ensuring data quality, and integrating diverse data sources accurately. Proficiency in SQL, ETL tools, and understanding data architecture are essential, and troubleshooting data issues can be particularly demanding. Staying updated with evolving technologies and maintaining data security also add to the difficulty of the field.

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

To thrive as a Data Integration Developer, you need strong skills in data modeling, ETL (extract, transform, load) processes, and database management, typically backed by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as proficiency in SQL and relevant certifications, is often required. Analytical thinking, attention to detail, and effective communication are vital soft skills for identifying integration needs and collaborating with cross-functional teams. These skills ensure seamless data flow, accurate reporting, and efficient support of business intelligence initiatives.
What cities are hiring for Data Integration Developer jobs? Cities with the most Data Integration Developer job openings:
What are the most commonly searched types of Data Integration Developer jobs? The most popular types of Data Integration Developer jobs are:
Who are the top companies hiring for Data Integration Developer jobs? The top employers for Data Integration Developer jobs are:
What states have the most Data Integration Developer jobs? States with the most job openings for Data Integration Developer jobs include:
What job categories do people searching Data Integration Developer jobs look for? The top searched job categories for Data Integration Developer jobs are:
Data Integration Developer, Senior

Data Integration Developer, Senior

Blue Shield of California

Oakland, CA • On-site

Full-time

Medical, Vision

Posted 7 days ago


Blue Shield Of California rating

8.4

Company rating: 8.4 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

101st of 261 rated insurance


Job description

Your Role 

The Data Services and solutions team is responsible for design, development, test, deployment and operation of large enterprise data warehouse/BI data solutions using cloud technologies. The Full Stack Data Engineer, Senior will report to the Manager, Data Services and Solutions. Your role will focus on integrating security and automation throughout the software development lifecycle (SDLC), with an emphasis on writing clean, maintainable code and building infrastructure that supports CI/CD pipelines, automated testing, and cloud-native delivery. You'll implement and enforce DevSecOps best practices tailored for Azure, contribute to infrastructure as code, and work closely with developers, testers, and cloud engineers to ensure code is secure, scalable, and production-ready from day one. This role requires a hands-on engineer who thrives in a collaborative environment and is passionate about code quality, automation, and secure cloud development. 

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

About Stellarus and the Ascendiun Family of Companies

Stellarus, launched in January 2025, is designed to scale innovative healthcare solutions that support customers in creating a health care experience deserving of their family, friends, and neighbors.    
Stellarus is part of a family of organizations that is overseen by a nonprofit corporate entity named Ascendiun. The Ascendiun Family of Companies also includes Blue Shield of California and its subsidiary, Blue Shield of California Promise Health Plan and Altais, a clinical services company. 

Stellarus' vision is to empower its customers to create a healthcare experience that is worthy of their family, friends, and neighbors. Stellarus' objective is to offer innovative, modern, scalable solutions that challenge the health care status quo. This very closely aligns with Blue Shield of California's vision by using innovation to improve quality, affordability, and experience for members.   

To achieve our mission, we foster an environment where all employees can thrive and contribute fully to address the needs of the various communities we serve. We are committed to creating and maintaining a supportive workplace that upholds our values and advances our goals.

Our Values: 

At Stellarus, our core values of agility, trust, drive, courage and service shape our approach to developing innovative product offerings.

    Our Workplace Model: 

    We believe in fostering a workplace environment that balances purposeful in-person collaboration with flexibility - providing clear expectations while respecting the diverse needs of our workforce. Our workplace model is designed around intentional in-person interaction, collaboration, connection, creativity and flexibility:

    • For most teams, this means coming into the office two days per week.

    • Employees living more than 50 miles from an office location, out of state employees, and employees in certain member-facing roles should work with their manager to determine in-office time based on business need.

    • For employees with medical conditions that may impact their ability to work in-office, we are committed to engaging in an interactive process and providing reasonable accommodations to ensure their work environment is conducive to their success and well-being.

    The Company reserves the right to require more presence in the office based on business needs, and requirements are subject to change with periodic reviews.

        Physical Requirements:

        Office Environment - roles involving part to full time schedule in Office Environment. Based in our physical offices and work from home office/deskwork - Activity level: Sedentary, frequency most of work day.

        Please click here for further physical requirement detail. 

        Equal Employment Opportunity:

        External hires must pass a background check/drug screen. Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status or disability status and any other classification protected by Federal, State and local laws.

        Your Knowledge and Experience 

        • Bachelor's degree or equivalent experience.
        • Requires a minimum of 5 years of relevant.
        • Strong experience in design, coding, integration, and deployment on Windows and/or Linux platforms.
        • Expertise in cloud platforms (preferably Azure; AWS/GCP acceptable) and related services (ADLS, Synapse, Data Factory).
        • Proficiency in SQL and Python, with strong scripting/automation skills.
        • Hands-on experience with modern data stack tools: dbt, Snowflake or Databricks, BigQuery, Airflow or Tidal.
        • Solid knowledge of data modeling (Data Vault 2.0), data integration, data architecture, warehousing, and data quality.
        • Familiarity with CI/CD pipelines (Bitbucket, GitHub Actions) and Infrastructure as Code tools (Ansible).
        • Familiarity with Collibra for data quality and governance.
        • Implement testing frameworks and validation processes for data pipelines.
        • Optimize performance and reliability of data workflows across development, testing, and deployment.
        • Working knowledge of networking/security protocols (LDAP, Active Directory) and API integrations.
        • Unix/Linux command-line proficiency and shell scripting.
        • Understanding of Agile methodologies, and enterprise cloud integration.
        • Excellent communication skills for translating technical deliverables.
        • Preferred: Healthcare industry experience and Epic software knowledge.
        • Awareness of data governance, security standards, and production certification processes.

        #LI-FB1

        Your Work 

        In this role, you will: 

        • Build data pipelines: Create, maintain, and optimize workloads from development to production for specific use cases, with a focus on cloud-native solutions and modern frameworks.

        • Develop the most efficient and cost-effective implementation, leveraging reusable features where possible 

        • Drive operational excellence, including but not limited to Incident Management, process automation leveraging AI and ensuring smooth deployments for your technology products/platform features.

        • Have the capability to leverage AI across development, testing, and deployment stages to drive innovation, reduce operational overhead, and enhance product quality.

        • Monitor and manage software configuration changes to anticipate and address data reliability and customer satisfaction issues, leveraging cloud monitoring tools and practices.

        • Coordinate sustaining support for multiple application platforms or business processes, ensuring seamless integration and operation in a cloud environment.

        • Apply significant knowledge of IT and healthcare industry trends. 
        • Work in agile/DevSecOps pod model alongside solution leads, data modelers, analysts, business partners and other developers in delivery of data

        • Support of monitoring and tuning application code to assure optimal availability, performance and utilization of resources

        • Provide technical expertise working with Analysts and Business Users to implement complex and varied functional specifications into technical designs


        What Blue Shield Of California employees say

        Pay

        Benefits

        Hours and flexibility

        Workplace

        Get the full story on Breakroom