Mid Data Engineer

Senior Data Architect role (remote, based in LATAM/Bogota) to translate business requirements into scalable data platform architectures, guide engineering teams, run discovery workshops, evaluate cloud data platforms and third-party integrations, and integrate AI/ML capabilities. Requires 7+ years of software or data engineering experience (2+ years in architecture), proficiency in Python and SQL, experience with Snowflake/Databricks/BigQuery/Redshift, data governance and security, and capabilities in technical pre-sales and stakeholder-facing architecture presentations.

Truelogic is hiring a Senior Data Engineer to build and scale data pipelines, ingestion, transformation, storage, and serving for advertising and marketing data (GA4, ad platforms, CRMs, CDPs). The role partners closely with ML teams to support model training and serving, establishes data engineering standards and monitoring, and mentors engineers. Requires 5+ years in data engineering, proficiency in Python and SQL, experience with cloud data platforms (AWS/GCP/Azure), and advanced English (B2+). Fully remote (LatAm) with compensation paid in USD.

The role joins a product team to design and implement machine learning solutions embedded in software products, collaborate with UX/engineering/product management, perform performance tuning, testing, monitoring, and some data engineering. Preferred skills include Python, ML libraries (TensorFlow, PyTorch, scikit-learn), GCP (Vertex AI, BigQuery), SQL, CI/CD, Node.js and front-end familiarity. Travel typically 5–20% overnight. Minimum 1 year of relevant work experience. Pay range listed: $90,000–$170,000 (annual, as stated for listed states).

Coforge busca un Senior Data Governance Controller basado en Perú (modalidad híbrida) para implementar y fortalecer el modelo de gobierno y calidad de datos. Responsabilidades incluyen definir y seguir reglas de calidad, gestionar trazabilidad/linaje y metadata, coordinar con Data Owners/Stewards, seguir incidencias y controles, levantar requerimientos y participar en diagnósticos AS-IS y roadmaps. Se pide mínimo 3-5 años de experiencia en gobierno y calidad de datos, conocimiento de DAMA-DMBOK, SQL y técnicas/herramientas de data profiling y gestión de metadata.

Encora (posting references Coforge) is hiring a Senior AI Engineer in Costa Rica (hybrid). The role requires 3–5 years in data engineering or similar, building and maintaining ETL/ELT pipelines, modeling and maintaining data warehouse tables/data marts, developing analytics dashboards and reports, and implementing data validation and quality controls. Preferred experience includes cloud data platforms (AWS/Azure/GCP), Python or R, Tableau or Power BI, and Agile/JIRA.

Netguru seeks a Senior Analytics Engineer on a freelance B2B contract (remote, Europe) to build a CDDP6 regulatory report. Responsibilities include designing, developing and deploying production-grade dbt models and SQL transformations in Google BigQuery, clarifying requirements with the Product Manager, following analytics engineering standards (modular SQL, automated tests, documentation), and owning delivery. Required: hands-on dbt experience, advanced SQL, Git/GitHub, and good English. Preferred: BigQuery/GCP experience, payments/fintech domain knowledge, and EU/UK regulatory reporting experience.

Partner with Research Scientists to implement models, run large-scale experiments, and productionize research prototypes. Responsibilities include building multimodal data pipelines, distributed training and RL orchestration (e.g., Ray), simulation and replay infrastructure, benchmarking, and integrating capabilities into Datadog products. Role expects proficiency in Python, an additional systems language (Rust/C++/Go), ML frameworks (PyTorch/JAX), containerization, orchestration, and GPU acceleration.

Lead development of versioned benchmark suites and graders for long-horizon agents handling finance workflows. Run and report benchmark suites across models and agent versions, design rubrics and programmatic checks (including LLM-as-judge), and turn evals into reward functions and RL environments to inform post-training and production decisions. Requires hands-on LLM eval experience, strong Python and software engineering, SQL and large-dataset experience, RL/post-training knowledge, and statistical judgment.

Lead design and implementation of simulation, evaluation, and data infrastructure for Level 4 autonomous driving and robotics, including data formats (Protobuf, Arrow, Parquet, MCAP), high-performance pipelines, APIs, workflows, and observability. Requires 15+ years in software engineering focused on distributed, data-intensive systems and proficiency in Go, Python, or Java.

Responsible for configuring and maintaining mappings in the integration platform (transforms, formulas, conditional logic, filters, literal values), validating results, diagnosing mapping issues, documenting specifications and test evidence, and enabling internal teams. Works with AMS/CRM integrations, APIs, authentication, and supports onboarding, data conversion, troubleshooting, and technical escalation.