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Riverside, California, United States
Remote only
At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.
Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.
By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.
Our client is a global technology and creative network that brings together engineering and creative expertise in equal measure to help businesses drive innovation, digital transformation, and long-term growth. As part of a leading global marketing and communications group, the company combines strategy, design, and technology to deliver end-to-end digital experiences and solutions. Its portfolio includes partnerships with some of the world's most recognized brands across industries such as technology, finance, media, sports, and consumer goods.
We are seeking a hands-on Senior Data Engineer to build scalable data infrastructure to support data-driven insights and predictive and generative AI models. The Senior Data Engineer will lead technical workstreams, contribute to defining data engineering best practices, and mentor other engineers while collaborating closely with Machine Learning Engineering teams and cross-functional stakeholders to solve complex data challenges.
Design, build, and scale data pipelines and infrastructure for ingestion, transformation, storage, and serving
Collaborate with the Machine Learning Engineering team to support model training, evaluation, and serving
Identify opportunities to improve team processes, tooling, and ways of working
Contribute to thought leadership, internal knowledge sharing, and community of practice efforts
Translate business needs into elegant, product-minded data solutions that drive measurable business value
Integrate marketing data sources (GA4, advertising platforms, CRMs, CDPs) into reliable, well-modeled datasets
Establish data engineering standards, documentation, and monitoring practices for data quality and reliability
Apply AI-powered coding, agentic engineering, and AI-enabled workflows to accelerate delivery
Must have
5+ years of data engineering experience with a strong track record of ownership and impact, including building data pipelines and infrastructure from the ground up.
Deep expertise in cloud data platforms, with clear, well-reasoned opinions on which work best and why
Proficiency in Python and SQL for data processing and ETL
Experience building and deploying data workloads in cloud environments (AWS, GCP, or Azure)
Strong product orientation, with the ability to identify opportunities, prioritize initiatives, and deliver measurable business value
Hands-on experience with AI-powered coding, agentic engineering, and AI-enabled workflows
Proven experience mentoring others, establishing engineering standards, and contributing to a culture of learning
Familiarity with marketing data ecosystems (GA4, advertising platforms, CRMs, CDPs)
Solid software engineering fundamentals: version control, testing, code review, and CI/CD
Strong communication skills, with the ability to work with every technical level at an organization that is 50/50 tech and creative
Experience working in complex, ambiguous projects from definition through delivery
Advanced English (B2 or higher)
Nice to Have
Experience with data governance, privacy compliance, and security best practices
Experience integrating AI/ML capabilities into data pipelines, with exposure to GenAI applications
Familiarity with MLOps tooling (MLflow, SageMaker, Vertex AI) and vector databases or RAG patterns
Experience working across multiple verticals or client types
Track record of advocating for and implementing process improvements
100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.
Apply now!