WHAT WE DOFounded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company.

We consult, design, build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals.

We have 600+ English-speaking engineers based in Latin America and approximately 20 U. S. -based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is customer and employee success. GAP is a woman-owned company headquartered in Austin Texas.

We are a values-based company focused on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning.

Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success. SummaryWe are looking for a Senior Data Engineer to join the Audience Data Management (ADM) team, with a strong focus on data ingestion, staging, data quality, integrations, and operational support of enterprise data platforms and vendors.

In this role, you will support data-driven initiatives across marketing, customer acquisition, and business strategy by ensuring reliable, compliant, and high-quality data pipelines.

You will work hands-on within proprietary marketing and data platforms, contributing to the design, implementation, testing, and execution of data workflows used in production campaigns and analytics.

This position requires close collaboration with cross-functional and cross-geographic teams, including Marketing, Analytics, IT, and external vendors.

You will act as a bridge between business strategy and technical implementation, translating complex

requirements

into scalable data solutions within a regulated environment. EducationBachelor’s Degree in Computer Science, Data Engineering, Information Systems, or a related field. Professional Experience5–8+ years of experience in Data Engineering, Data Management, or Data Platform roles. Proven experience working with large-scale, complex datasets in enterprise environments. Hands-on experience supporting data ingestion, staging, and processing pipelines. Experience collaborating with third-party vendors and cross-functional internal teams. Background working in regulated data environments is highly preferred. Key ResponsibilitiesManage end-to-end data ingestion and staging processes across multiple data sources, including 1st, 2nd, and 3rd party data. Ensure data quality, consistency, integrity, and availability for downstream consumption. Design, support, and maintain data integrations across internal systems, enterprise platforms, and external vendors. Monitor, maintain, and troubleshoot data publishing and processing workflows. Act as a hands-on technical contributor within proprietary marketing and data platforms, coding and testing data scenarios prior to production execution. Provide operational oversight for day-to-day activities of critical data processing vendors. Collaborate closely with Marketing, Analytics, IT, and external partners to support campaign execution and strategic initiatives. Participate in project meetings, technical design discussions, daily scrums, and delivery planning. Ensure compliance with data controls, regulatory

requirements

, security standards, and internal governance policies. Translate business goals and marketing strategies into technical data solutions that support acquisition, retention, and analytics use cases. Required Technical SkillsStrong SQL expertise for data querying, validation, and troubleshooting. Experience working with SAS in data processing or analytics workflows. Hands-on experience with Unix/Linux environments. Experience with Oracle databases and enterprise data platforms. Exposure to cloud-based data environments such as AWS and Snowflake. Familiarity with Big Data technologies (e. g. , Hadoop eco

System

s). Experience with data integrations, APIs, secure data transfer mechanisms, and encryption standards. Understanding of enterprise-scale data pipelines, batch processing, and staging architectures. Experience working within proprietary or highly customized enterprise data platforms. Soft SkillsAdvanced English proficiency (written and verbal). Strong ability to communicate technical concepts to non-technical stakeholders. Highly organized with strong attention to detail and data accuracy. Comfortable working across distributed, cross-functional, and cross-geographic teams. Proactive problem-solver with the ability to operate in fast-paced, high-impact environments. Strong sense of ownership and accountability for data reliability and delivery. At Growth Acceleration Partners, we're an equal opportunity employer committed to building a diverse and inclusive team.

We value everyone's unique background, and we provide equal opportunities regardless of race, color, creed, religion, sexual orientation, gender identity, age, national origin, disability, marital status, veteran status or any other personal right protected by law.

We foster a culture of belonging and strive to provide a welcoming environment where everyone feels safe to contribute and grow.