Senior Data Engineer - Advertising

Truelogic; United States; À distance; USD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

100% Remote Work

Highly Competitive USD Pay

Paid Time Off

Work with Autonomy

Work with Top American Companies

Résumé du poste

Truelogic Software LLC is seeking a hands-on Senior Data Engineer to build scalable data infrastructure, supporting data-driven insights and AI models. You will lead technical workstreams, define data engineering best practices, and mentor engineers while collaborating with ML teams and cross-functional stakeholders to solve complex data challenges.

The role emphasizes data pipelines, cloud platforms, and marketing data ecosystems, with a strong product orientation and English proficiency.

Qualifications

• 5+ years of data engineering experience with ownership and impact.
• Deep expertise in cloud data platforms; can argue trade-offs.
• Proficiency in Python and SQL for data processing and ETL.
• Experience deploying data workloads in AWS, GCP, or Azure.
• Strong product orientation; can translate needs into data value.
• Hands-on with AI-powered coding and AI-enabled workflows.
• Mentoring experience and establishing engineering standards.
• Familiarity with marketing data ecosystems (GA4, CRMs, CDPs).
• Solid software engineering fundamentals: VCS, testing, code reviews, CI/CD.
• Strong communication across a tech/creative org.
• Ability to work on complex, ambiguous projects; English at B2+.

Responsabilités

• Design, build, and scale data pipelines and infrastructure.
• Collaborate with ML engineering for model training and serving.
• Identify opportunities to improve processes and tooling.
• Contribute to knowledge sharing and communities of practice.
• Translate business needs into data solutions with measurable value.
• Integrate marketing data sources into well-modeled datasets.
• Establish data engineering standards, docs, and data quality monitoring.

Connaissances

Data pipelines

Cloud data platforms

Python

SQL

Cloud platforms awareness

Product mindset

AI-powered coding

Mentoring

Marketing data ecosystems

Software engineering fundamentals

Communication

English proficiency

Outils

MLflow

SageMaker

Vertex AI

Description du poste

About Truelogic

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

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.

Job Summary

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.

Responsibilities

• 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

Qualifications and Job Requirements

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

What We Offer

• 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.

Why You’ll Like Working Here

• 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.