Senior Data Engineer

HugeInc; United States; Remote; USD 32,000 - 54,000; Full time

Job summary

Huge is seeking a Senior Data Engineer to design and operate cloud-based data pipelines and analytics solutions across digital platforms. The role focuses on data collection, transformation, and analytics integration using Adobe Experience Cloud technologies.

You will work with cross-functional teams to translate requirements into reliable data solutions, improve data quality, and enable scalable analytics workflows, with a strong emphasis on data governance and AI-enabled enhancements.

Qualifications

• 5+ years of experience in Data Engineering or analytics implementation.
• Experience with cloud-based data solutions and data pipelines.
• Hands-on experience with Adobe Experience Cloud: Analytics, Launch; CJA is valued.

Responsibilities

• Build and maintain cloud-based data pipelines and transformations.
• Implement analytics solutions with Adobe Analytics, Launch, and CJA.
• Translate requirements into tracking strategies and technical specs.
• Support data modeling, validation, and reporting processes.
• Collaborate with cross-functional teams to integrate data sources.

Skills

GCP

SQL

JavaScript

Python

Adobe Analytics

Adobe Launch

Adobe Customer Journey Analytics

Data Modeling

ETL/ELT

Data Warehousing

Data Governance

AI / Agentic Engineering

Tools

Adobe Analytics

Adobe Launch

CJA (Adobe)

Job description

Location: This position is remote within Colombia.

About Technology.

Technology at Huge is powered by a global practice of creative technologists-spanning Engineers, QA specialists, Business Analysts, Data Scientists, and ML Architects,we look beyond standard patterns to build resilient, enterprise-grade systems. We combine deep engineering rigor with innovation at the edge of agentic AI, modern data stacks, and cloud infrastructure. We don't wait for industry standards to set themselves; we engineer the intelligent systems that turn audacious strategic vision into production-ready reality.

The role.

Huge is looking for a Senior Data Engineer with experience in cloud-based data solutions and analytics implementation. This role combines data engineering fundamentals with Adobe Experience Cloud technologies to support data collection, tracking, transformation, and analytics across digital platforms.

You'll work closely with technical and business teams to translate requirements into reliable data solutions, improve data quality, and support scalable analytics workflows.

What you'll be doing.

• Build and maintain data pipelines, transformations, and integrations using cloud technologies, SQL, and Python.
• Implement and support analytics solutions using Adobe Analytics, Adobe Launch, and Adobe Customer Journey Analytics (CJA).
• Develop tracking strategies, event collection plans, and technical specifications based on business and measurement requirements.
• Support data modeling, data validation, data quality, and reporting processes.
• Work with cloud-based data architectures, including GCP, to support scalable and reliable data workflows.
• Collaborate with cross-functional teams to integrate data sources and connect analytics implementation with broader data engineering needs.
• Identify opportunities to improve data governance, pipeline performance, and operational efficiency.
• Explore opportunities to incorporate AI-driven solutions into data engineering and analytics workloads.

What we'd like to see.

• 5+ years of experience in Data Engineering, Analytics Implementation, or a related field, with hands-on experience building and maintaining data solutions.
• Experience with GCP and cloud-based data solutions, including data pipelines, transformations, orchestration, and scalable architectures.
• Hands-on experience with Adobe Experience Cloud, particularly Adobe Analytics and Adobe Launch. Experience with Adobe Customer Journey Analytics (CJA) is highly valued.
• Strong proficiency in SQL and JavaScript, with experience using Python for data processing, automation, or pipeline development.
• Solid understanding of data warehousing, data modeling, ETL/ELT processes, data structures, and data quality validation.
• Ability to translate business requirements into tracking strategies, measurement plans, and technical specifications.
• Understanding of data governance, performance optimization, and reliable data solutions.
• Exposure to AI / Agentic Engineering and the integration of AI-driven solutions into data workflows is a plus.
• Strong English communication skills (B2/Upper-Intermediate or higher), with the ability to collaborate effectively with technical and business stakeholders.
• Comfortable working in fast-paced, cross-functional environments, bridging data engineering, analytics, and implementation.

If the selected candidate holds a degree in Engineering or a related profession, they must present their professional license. To verify your degree requires this license, please visit www.copnia.gov.co and https://www.consejoprofesional.org.co/.

About Huge.

Huge is an independent, human-first AI-native design and technology company. We make things that matter by bringing AI, people, design and technology together as one system. With more than 1,000 design and technology experts working in hub cities around the world, including Bogotá, Chicago, Ho Chi Minh City, London, Los Angeles, Medellín, New York, San Francisco, and Washington, DC, we partner with some of the world’s most ambitious brands, including Google, NBCU, PepsiCo, Vail Resorts, Atlantic Health, and Candescent. Learn more at hugeinc.com.

Huge is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if you're parenting the next generation of innovators, we firmly believe that our work is at its best when everyone feels free to be their most authentic self.

Huge is an equal opportunity employer (EOE). We strongly support diversity in the workforce. We are committed to an inclusive, barrier-free recruitment and selection process and work environment. If you are contacted for a job opportunity, please advise us of any accommodation needed to ensure you have access to a fair and equitable process. Any information received relating to accommodation will be addressed confidentially.

Workers shall not be required to pay employers' or agents' recruitment fees or other related fees for their employment. If any such fees are found to have been paid by workers, such fees shall be repaid to the worker.

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