Senior Data Governance Controller

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.

Work with Revenue, Product, Engineering, Finance, and Marketing to create reusable data models, semantic models, dashboards, and AI-powered analytics tied to business goals. Requires experience in data analysis/reporting, modern analytics platforms (Microsoft Fabric/Power BI), data modeling, KPI definition, and coding. Preferred experience includes Kusto/KQL, Spark, Airflow, Python, Salesforce, and SaaS/consumption analytics.

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).

The Online Lead Decision Analytics partner with online merchandising, marketing, and ELT to develop KPI frameworks, build and maintain dashboards, and deliver business insights. Requires minimum 6 years' experience, proficiency in Python/R/SQL, BigQuery, Tableau, and experience with predictive/prescriptive analytics; reports to a Senior Manager or above and typically requires 5–20% overnight travel.

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.

Hiring a Mid Data Engineer with 5+ years experience to design and maintain scalable ETL/ELT pipelines into Snowflake, develop and optimize Snowflake and MongoDB data models, implement data quality, observability, lineage and security controls, and automate deployments via CI/CD. Familiarity with dbt, Airflow/Fivetran/Talend/Informatica, Power BI/Tableau and AI/ML data preparation is preferred.

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.