Lead Data Engineer - Advertising

Truelogic; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

100% Remote

Competitive USD Pay

Paid Time Off

Autonomy

Work with US Companies

Job summary

Truelogic Software LLC is seeking an experienced Lead Data Engineer to architect and build scalable data infrastructure powering real-time insights and AI applications.

You will transform static data stores into active, low-latency backends, enabling agentic AI capabilities. You will lead data engineering standards, mentor engineers, and collaborate with ML and product teams in a hybrid Tech/Creative environment.

Qualifications

• 5+ years in Data Engineering: designing, building, and scaling data pipelines.
• Activating data infrastructure for real-time downstream applications beyond batch ETL/ELT.
• Agentic & real-time AI backends: experience with vector databases or RAG at scale.
• Cloud expertise across AWS, GCP, or Azure and modern data stacks.
• Core tech: Python and SQL for real-time data processing and collaboration with ML teams.
• AI workflow mastery: use of AI-assisted development tools and automated engineering workflows.
• Leadership & communication: mentoring engineers and setting standards.
• Located in Latin America.
• Fluent in English.

Responsibilities

• Architect and Activate Data: design, build, and scale high-throughput, low-latency data infrastructure.
• Transform latent stores into active context layers, vector engines, and memory systems.
• Real-time & event-driven pipelines: ingest, stream, and retrieval pipelines for live AI apps.
• Technical leadership & standards: establish data architecture standards, CI/CD, documentation, and data quality.
• Cross-functional collaboration: partner with ML, product, and creative teams to translate requirements into data APIs.
• AI-enabled engineering: leverage AI-powered coding and automated workflows to accelerate development.

Skills

Data engineering

Python

SQL

Cloud platforms (AWS/GCP/Azure)

AI workflows

Leadership

English fluency

Tools

Pinecone

Qdrant

Milvus

pgvector

Snowflake

Databricks

BigQuery

Job description

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 the only technology and creative network with a balance of 50% creative and 50% engineers. Their unique makeup makes us the place where CMOs, CTOs and CIOs come together to drive results for their businesses. They partner with their clients to redefine what is possible to create lasting impact and drive long-term growth.

Job Summary

We are seeking an experienced Lead Data Engineer to architect and build the scalable data infrastructure powering our real-time insights, predictive systems, and dynamic generative AI applications.

We need a true builder—someone whose expertise extends far beyond standard data migrations. The ideal candidate will take enterprise data lakes and warehouses out of their latent, static states and transform them into active, low-latency backends for real-time, agentic AI applications. As a product-minded technologist, you will translate business needs into elegant technical solutions, establish engineering best practices, and lay the foundation for a world-class data organization.

Working cross-functionally in a 50/50 Tech and Creative environment, you will have significant autonomy in technical decision-making and play a pivotal role in shaping our data strategy, engineering standards, and team culture.

Responsibilities

• Architect & Activate Data: Design, build, and scale high-throughput, low-latency data infrastructure connecting cloud data lakes/warehouses to dynamic AI backends and real-time agentic workflows.

• Transform Latent Stores: Operationalize static data repositories into active context layers, vector engines, and memory systems for autonomous AI agents and downstream applications.

• Real-Time & Event-Driven Pipelines: Build real-time ingestion, event-driven streaming, and retrieval pipelines (RAG, vector stores, operational databases) to feed live AI applications.

• Technical Leadership & Standards: Establish data architecture standards, CI/CD, documentation, and data quality best practices while mentoring data engineers.

• Cross-Functional Collaboration: Partner with Machine Learning Engineers, Product teams, Creative Directors, and agency stakeholders to translate client and business requirements into production-grade data APIs and schemas.

• AI-Enabled Engineering: Leverage AI-powered coding, agentic engineering, and modern automated workflows to accelerate development and execution.

Qualifications and Job Requirements

• 5+ years in Data Engineering: Demonstrated experience designing, building, and scaling data pipelines and cloud infrastructure from the ground up.

• Beyond Data Migrations: Proven track record of activating data infrastructure for dynamic, real-time downstream applications rather than focusing solely on batch ETL/ELT or static warehousing.

• Agentic & Real-Time AI Backends: Direct experience building data layers for real-time, event-driven applications, vector databases (e.g., Pinecone, Qdrant, Milvus, pgvector), or retrieval-augmented generation (RAG) at scale.

• Deep Cloud Expertise: Strong experience with major cloud platforms (AWS, GCP, Azure) and modern cloud data stacks (Snowflake, Databricks, BigQuery). Bring your opinions on what works and what doesn't!

• Core Technical Stack: Advanced proficiency in Python and SQL for data processing, real-time pipeline construction, and close collaboration with ML teams.

• AI Workflow Mastery: Experience utilizing AI-assisted development tools, agentic coding, and automated engineering workflows.

• Leadership & Communication: Track record of mentoring engineers and setting engineering standards. Exceptional communication skills suited for a hybrid Tech/Creative culture.

• Located in Latin America.

• Fluent in English.

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.