Seeking a Lead Data Engineer with 5+ years experience to design and scale high-throughput, low-latency data infrastructure connecting cloud data lakes/warehouses to real-time AI backends. Responsibilities include building streaming ingestion and retrieval pipelines, operationalizing vector stores and memory systems, establishing data architecture and CI/CD standards, and mentoring engineers. Fluent English required.

Seeking a Lead Data Engineer to architect and implement high-throughput, low-latency data infrastructure connecting cloud data lakes/warehouses to real-time AI backends. Responsibilities include building event-driven ingestion and retrieval pipelines, operationalizing vector stores and memory systems for agentic AI, establishing data architecture and CI/CD standards, and mentoring engineers. Requires 5+ years in data engineering, strong Python and SQL skills, experience with vector databases and cloud data stacks (Snowflake, Databricks, BigQuery, AWS/GCP/Azure), and fluent English.

Seeking a Lead Data Engineer with 5+ years of data engineering experience to architect and operationalize cloud data lakes/warehouses into active, real-time backends (including vector stores and RAG) for agentic AI applications. Role requires strong Python and SQL skills, deep cloud and modern data stack experience (Snowflake, Databricks, BigQuery, AWS/GCP/Azure), technical leadership, and fluent English. Located in Latin America (Mexico City listed); 100% remote.

Seeking a Lead Data Engineer to architect and scale high-throughput, low-latency data infrastructure connecting cloud data lakes/warehouses to real-time AI backends. Responsibilities include building event-driven ingestion and retrieval pipelines (RAG, vector stores), operationalizing static data stores into active context layers, establishing data architecture standards and CI/CD, and mentoring engineers. Requires 5+ years in data engineering, strong cloud and modern data stack experience (Snowflake, Databricks, BigQuery; AWS/GCP/Azure), and advanced Python and SQL skills. Location: Latin America. Fluent English required.

Seeking a Lead Data Engineer to design, build, and scale high-throughput, low-latency data infrastructure that connects cloud data lakes/warehouses to real-time AI backends and agentic workflows. Responsibilities include building event-driven/streaming pipelines, operationalizing vector stores and RAG systems, establishing data architecture and CI/CD standards, and mentoring engineers. Requires 5+ years of data engineering experience, strong Python/SQL skills, experience with vector databases (e.g., Pinecone, Qdrant, Milvus, pgvector), modern cloud data stacks (Snowflake, Databricks, BigQuery) and major cloud providers (AWS/GCP/Azure). Fluent English. 100% remote; compensation paid in USD.

Lead Data Engineer responsible for architecting and operationalizing cloud data lakes/warehouses into active, low-latency backends (including vector stores and RAG) for real-time, agentic AI applications. Role includes building streaming/event-driven ingestion, establishing data architecture and CI/CD standards, mentoring engineers, and collaborating with ML and product teams. Requires 5+ years in data engineering and fluency in English. Remote, located in Latin America.

Design, build, and maintain full-stack features, backend services, integrations, and internal growth tools; implement product analytics, event instrumentation, data pipelines, and A/B experiments; apply statistical inference and causal reasoning to measure marketing and acquisition impact. Requires advanced SQL and scripting in Python or R, experience with API/webhook integrations, and practical experimental-design and analytics instrumentation experience. Employer: Truelogic (nearshore staff augmentation).

Build and maintain production full-stack features, backend services, and internal growth tools; implement product analytics and event pipelines (e.g., PostHog); design and evaluate A/B tests using statistical and causal methods; integrate CRMs, advertising platforms, and third‑party tools via APIs/webhooks; evolve analytical data models and maintain data quality, testing, observability, privacy, and security.

Senior Full-Stack Growth Engineer responsible for building production full-stack features and integrations, implementing product analytics and event pipelines, designing and evaluating experiments (A/B testing), applying statistical and causal inference, and collaborating with product and marketing teams to drive customer acquisition and retention. Role involves API/CRM integrations, data modeling, and ensuring data quality, privacy, and security.

The position combines full-stack software engineering with quantitative analysis to implement marketing and growth infrastructure: backend services, web apps, API and CRM integrations, event-driven pipelines, instrumentation (e.g., PostHog), and A/B testing. The role emphasizes data quality, causal inference, and collaboration with product, design, and marketing teams; work is offered 100% remotely.

The role combines end-to-end full-stack development with quantitative analysis: architect and ship production features and internal growth tools; implement event tracking, analytics instrumentation, and event-driven data pipelines; integrate advertising platforms, CRMs, and third-party tools via APIs/webhooks; and design and evaluate A/B tests using statistical inference and causal reasoning to measure marketing and product impact.

Designs and implements full-stack features, backend services, internal growth tools, and integrations (APIs, webhooks, CRMs). Implements event tracking and product analytics, builds event-driven data pipelines and analytical models, and designs/evaluates A/B tests using statistical and causal methods. Requires strong SQL and scripting (Python/R) skills and experience with data quality, observability, and secure integrations. Role is 100% remote and compensation paid in USD.

Remote Senior Data Engineer role (based in Santo Domingo) requiring 5–7 years of data engineering experience. Responsibilities include designing and maintaining scalable ETL pipelines, working extensively with PySpark and Databricks (including AutoLoader), optimizing performance and cloud compute costs, enforcing data quality/governance, and collaborating with engineering and business teams.

The role is for a Senior Data Engineer working remotely from Brazil to design, build, and optimize large-scale ETL pipelines using PySpark and Databricks (including AutoLoader). Requires 5+ years of data engineering experience, strong skills in pipeline performance tuning, compute cost optimization, data quality and governance, and cross-functional collaboration.

The role requires 5–7 years of data engineering experience designing, building, and maintaining scalable ETL pipelines and performing complex data transformations. Core technologies include PySpark and Databricks (including AutoLoader) with emphasis on performance tuning and compute cost optimization. The position is remote and involves cross-functional collaboration with engineering and business teams to ensure data quality, governance, and reliable production pipelines.

Hiring a Senior Data Engineer with 5–7 years of experience to design, build, and maintain scalable ETL pipelines and data transformations for a marketing-focused product (MMM/scenario planning). Core technologies: PySpark, Databricks (including AutoLoader). Responsibilities include pipeline architecture, performance tuning, cost optimization, cross-functional collaboration, troubleshooting, and enforcing data quality and governance. Role is 100% remote and compensated in USD.

Hiring a Senior Data Engineer with 5–7 years experience to build scalable ETL pipelines and perform complex data transformations using PySpark and Databricks (including AutoLoader). Responsibilities include pipeline architecture, performance and cost optimization, troubleshooting, and enforcing data quality and governance. Role is 100% remote, compensation paid in USD.

Contract role (3 months, remote) for a Senior Data Analyst / Data Manager to produce executive insights, build and maintain Looker/LookML models, design dashboards, ensure data quality, and develop predictive models using BigQuery and related tools. Requires 4+ years experience, advanced SQL in BigQuery, and strong Looker/LookML expertise.

Senior Data Analyst / Data Manager (3-month fixed-term, remote) supporting a US fitness and wellness company. Responsibilities include building and documenting LookML models, writing advanced SQL in Google BigQuery, creating and maintaining Looker dashboards, auditing data sources and pipelines, and developing predictive models. Required: 4+ years in data analytics/BI/data engineering, advanced SQL/BigQuery, Looker/LookML; preferred: Python (pandas, matplotlib), Tableau, Jupyter, AWS.

Contract (3 months, possible renewal) remote Senior Data Analyst / Data Manager to produce executive insights, build and document LookML models, design dashboards in Looker, and write/optimize advanced SQL in Google BigQuery. Requires 4+ years experience, strong BigQuery/SQL and Looker/LookML skills; Python, Tableau, and predictive modeling experience preferred.