Data Engineer - Customer Data Platforms

Company Description BrainTrust Partners helps brands and leaders navigate an evolving marketplace, understand their customers, and grow revenue. The company offers strategic consulting, data governance, privacy compliance, and delivers applied AI applications, customer data platforms, hybrid cloud infrastructure, and high-performance computing solutions. BrainTrust Partners equips companies with future readiness to address what's next in their industry and marketplace. Role Description This is a contract hybrid role for a hands-on Data Engineer, to architect and deploy customer data infrastructure using Tealium and other data management systems. The role is based in Austin, Texas, supporting clients in the USA, with work-from-home flexibility. You are a technical bridge connecting systems, building the pipelines that turn fragmented customer data into a unified, actionable asset. The Data Engineer will be responsible for designing, developing, and maintaining data pipelines, implementing data governance practices, developing solutions for data integration, and ensuring data quality. Day-to-day tasks include working with cross-functional teams to understand client use cases and other business requirements, performing data analysis, and optimizing data systems for performance and scalability. Qualifications • Data pipeline design and development, data integration, and optimization skills • Experience with data governance, data quality assurance, and privacy compliance • Knowledge of applied AI applications and data discovery • Proficiency in working with hybrid cloud infrastructure and high-performance computing • Strong problem-solving skills and the ability to work collaboratively in cross-functional teams • Bachelor's degree in Computer Science, Engineering, or a related field • Experience in the data engineering field • Experience working with data orchestration systems such as Tealium, Snowflake, and/or AWS is preferred What You'll Do Systems Integration & Implementation • Deploy and configure a customer data platform (CDP) across web, mobile, other client-side and several server-side environments including marketing tools, analytics platforms, CRMs, data warehouses, and business systems • Design and implement data layers that capture customer interactions across all touchpoints • Build and maintain API connections between Tealium and internal/external systems Data Engineering & Pipeline Development • Create real-time and batch data pipelines that route customer data to the right destinations • Design event taxonomies and data schemas that make sense for both technical and business teams • Build data transformations and enrichment logic within Tealium EventStream and AudienceStream • Develop custom connectors and middleware when off-the-shelf integrations won't cut it Quality & Governance • Respect for the strictest of security and privacy protocols in handling, processing, and managing data • Responsible assignment of access to audience and analytics reporting by the client’s agencies and other marketing vendors • Implement data validation, monitoring, and alerting to ensure pipeline reliability • Establish data quality standards and troubleshoot data discrepancies across systems • Document data flows, integration specifications, and system architectures • Ensure compliance with privacy regulations (GDPR, CCPA) in all data processes What You Bring Required Technical Skills • 3+ years of hands-on data engineering experience • Strong proficiency in JavaScript for tag management and data layer implementation • Experience with RESTful APIs, webhooks, and system integration patterns • SQL proficiency and familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift) • Understanding of ETL/ELT concepts and data pipeline orchestration Soft Skills • Curiosity and willingness to challenge legacy business practices and explore new • Ability to explain complex technical concepts to non-technical stakeholders • Problem-solving mindset with attention to detail • Collaborative approach to working with marketing, analytics, and engineering teams • Self-starter who can manage multiple integration projects simultaneously Nice to Have • Experience with cloud platforms (AWS, GCP, Azure) • Familiarity with Python for data processing and automation • Knowledge of mobile SDKs (iOS/Android) and app tracking • Understanding of machine learning pipelines and AI model deployment • Experience with other marketing technology platforms and automation tools Why This Role Matters You'll be instrumental in breaking down data silos and creating a single source of truth for customer data. Your work directly enables better customer experiences, smarter marketing decisions, and ongoing building intellegence efficiencies across our clients’ operations.