Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job DescriptionWe are looking for an Integration Engineer to help design, build, and maintain solutions that connect different data sources and platforms. This role will focus on creating reliable data flows, integrating systems through APIs, and supporting customer data initiatives by ensuring information is accurately collected, processed, and made available across platforms.
The ideal candidate has experience working with data integrations, APIs, customer data platforms (CDPs), and modern data technologies. Experience working across different systems, troubleshooting data flows, and collaborating with technical and business teams to deliver scalable solutions is required.
Responsibilities
Design, develop, and maintain integrations between different systems and platforms using APIs and other integration technologies.
Build and support data pipelines that enable the movement and availability of customer data across platforms.
Work with customer data platforms (CDPs) and related technologies to support customer data management and activation initiatives.
Implement solutions for data matching, identity resolution, and the management of customer identifiers across different systems.
Ensure data quality, consistency, and reliability across integrated platforms.
Troubleshoot integration issues and identify opportunities to improve existing processes.
Collaborate with engineering, data, and business teams to understand requirements and deliver effective solutions.
Support secure handling of customer data, including working with encrypted or hashed identifiers.
Required Skills:
Experience building and maintaining production API integrations, including REST APIs, authentication, rate limits, retries, error handling, and scalable integration patterns.
Experience with identity resolution, audience matching, and secure handling of hashed identifiers.
Strong Python and SQL skills, with experience working directly with cloud data platforms such as Snowflake.
Experience designing reusable and scalable integration solutions.
Ability to work independently and take ownership of technical initiatives.
Nice-to-Have Skills:
Experience with Customer Data Platforms (CDPs) or customer data ecosystems.
Experience with marketing platform activation APIs or similar technologies, such as mParticle, Segment, LiveRamp, Braze, or equivalent platforms.
Experience with first-party data activation, audience management, or marketing technology integrations.
Experience working with media, advertising technology, or streaming platforms.
Familiarity with CDP governance and modern data engineering practices.
Our Perks and Benefits:
📚 Learning Opportunities:
Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans, courses, and additional certifications tailored to your role.
Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.
🛫 Travel opportunities to attend industry conferences and meet clients.
👩🏫 Mentoring and Development:
Career development plans and mentorship programs to help shape your path.
🎁 Celebrations & Support:
Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
Company-provided equipment.
⚖️ Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
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What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
