Owner of end-to-end Databricks lakehouse architecture (Delta Lake, Unity Catalog, Workflows) across major clouds; responsible for batch and streaming pipelines, Spark performance optimization, governance, CI/CD, and mentoring data engineers. Preferred 8+ years data engineering experience with 4+ years on Databricks. Salary CA$115,000–CA$150,000; employer willing to sponsor eligible work visas in Canada.

Build and optimize real-time data pipelines and backend services, develop and deploy ML models for fraud detection, produce production-ready features, and collaborate with platform/backend engineers. Technologies and practices mentioned include PyTorch, Scikit-learn, Go, SQL, Docker, Kubernetes, CI/CD, observability, and work with device/behavioral data and privacy/security requirements. Role is remote and open to candidates in UK, Germany, Ireland, Spain, Poland, Bulgaria, or Lithuania.

Work on multimodal and content embeddings, contextual and behavioral relevance, knowledge graph embeddings, and user intent modeling using LLMs/VLMs. Responsibilities include building data and inference pipelines, evaluating features, running experiments, ensuring system reliability and scalability, and collaborating with cross-functional teams.

Join Reddit's Ads Foundational Representations team to design, implement, evaluate and deploy embeddings and ML features for ads, posts and users. Responsibilities include developing embedding models (NLP/CV/multimodal), working with local and 3rd-party LLMs/VLMs (extraction, evaluation, prompt tuning, fine-tuning), building data processing and inference pipelines, performing qualitative and quantitative evaluations and experiments, and ensuring reliability and scalability of ML systems. Required: 5+ years end-to-end ML experience and experience building NLP or CV models and integrating them at scale; experience with PyTorch or TensorFlow. Preferred: experience with Python, Airflow, BigQuery, Ray, Kubernetes, Kafka, GCP, ads or recommender/search systems and tech leadership.

Role focuses on building and productionising GenAI solutions that leverage LLMs (e.g., GPT series), prompt engineering and prompt chains, model and prompt evaluation, retrieval-augmented generation architectures (vector DBs, embeddings, document chunking), data extraction (e.g., PDFs), and continuous performance monitoring. Requires applying software engineering best practices including CI/CD, testing, ETL/data pipelines, load testing and MLOps to ensure reliability in production.

Remote US-based role owning how member data flows into and through Braze, designing segmentation and campaigns across email/push/in-app/SMS, building and analyzing A/B and multivariate tests, and collaborating with Engineering and Data to evolve schema and systems. Requires deep Braze expertise, hands-on use of AI tools, experience with event-based data models, and strong project management.

Senior RWE/RWA Analyst Programmer (remote) responsible for designing and coding R and SQL programs, cleaning and validating real-world data from sources such as Optum and Flatiron, implementing analyses per RWE protocols, and developing dashboards/reports. Requires an MS in a related field, at least 7 years of RWD/RWE experience, fluency in R and SQL, and familiarity with healthcare coding systems; SAS/Python experience is advantageous.

Role responsible for designing and operating canonical customer datasets that unify CRM, marketing, billing, product telemetry, and support data; building enrichment, deduplication, entity resolution, validation, monitoring, drift detection, and lineage; and preparing structured and unstructured data for downstream AI workflows (RAG, embeddings, agents). Requires 3+ years building production pipelines for ML/LLM systems and experience with Python, SQL, cloud infrastructure, and orchestration tools. Salary range provided: €67,000–€106,000 EUR (base).

Lead the design and implementation of ETL/ELT data pipelines and a cloud data warehouse (Matillion, Snowflake on AWS). Combine hands-on development (Python, SQL) with technical leadership: architect the data platform, mentor engineers, enforce code quality, integrate AI/ML data needs, and collaborate with Data Science, Analytics, Product and DevOps teams. Bilingual English and Spanish required.

BetterUp is hiring a Senior Analytics Engineer to architect, build, and maintain data products (dbt models, ELT pipelines, Looker explores/visualizations) on a modern data stack (Snowflake). Responsibilities include building reliable pipelines, driving analytic strategy and self-service BI, improving observability/lineage/stewardship, contributing to data security, mentoring engineers, and integrating AI capabilities (pipeline monitoring, automated quality checks, AI-assisted insights). The role requires a minimum of 5+ years relevant experience and advanced SQL, dbt and Looker experience; location is hybrid in the United States (San Francisco, Austin, New York City, Washington, DC metro).

Lead and grow a Data Insights Platform engineering team at GitLab, owning planning, architecture, and delivery for ingestion, buffering, enrichment, replication (Postgres-to-ClickHouse / Siphon CDC), ClickHouse-backed storage, Query API integrations, and classic search. Partner with product, design, infrastructure, and other engineering teams to ensure reliability, scalability, security, observability, and operability across GitLab.com, Dedicated, Self-Managed, and Cells deployments; hire and coach engineers and drive technical decisions for high-throughput, multi-component data systems.

Hopper is hiring a Lead for Finance Analytics & Enablement AI/ML to own finance data warehouse strategy and governance, BI/reporting, GCP cost optimization, and Finance AI automation. The role partners with FP&A, accounting and engineering, manages a team (4 engineers + 1 manager), establishes data pipelines and AI foundations, supports audits and controls, and requires 15+ years' experience, strong SQL/Python/GCP skills, and familiarity with LLMs and observability tools like Looker, Amplitude, and Datadog.

Own the finance data warehouse strategy, governance and execution; build and lead a reporting Center of Excellence; create and implement the Finance AI automation roadmap; establish data pipelines and AI model foundation; optimize GCP infrastructure costs; manage a team of engineers and a finance/strategy manager; and support data governance and audit controls. Requires 15+ years' experience.

Hopper is hiring a Lead, Finance Analytics & Enablement AI/ML to own finance data warehouse strategy, BI/reporting, GCP cost optimization, finance AI automation, data pipelines, and governance. The role manages a team (4 engineers, 1 finance/strategy manager), partners with FP&A and accounting, supports audits and internal controls, and reports to the CFO. Required technical skills noted include SQL, Python, GCP, and data science; familiarity with LLMs, prompt design, Looker, Amplitude and Datadog is described as relevant.

Twilio seeks a Staff Analytics Engineer for GTM Data Science & Analytics to design and implement a centralized business data layer in dbt, develop automated reconciliation and quality checks, codify and align key sales and finance metrics with stakeholders, mentor team members, and investigate complex data anomalies. Requires a minimum of 8 years' relevant experience and strong SQL, dbt, and data quality/testing expertise.

Twilio is hiring a Staff Business Intelligence Engineer to own and evolve the company's BI tools and platform, design scalable dashboards and reports, architect agentic AI solutions for natural-language querying and automated insights, and partner with data engineers and business stakeholders to deliver reliable data products. Role is remote and based in India; requires 7+ years in BI or analytics and at least 2 years in a senior/staff IC role.

Launch Potato is hiring a Lead BI Developer / Lead Data Analyst to own end-to-end reporting from raw data ingestion through dashboards for marketing verticals. The role requires a minimum of 7 years in business intelligence or analytics, strong SQL skills, experience with LookML (or Power BI/Tableau), and proven ownership of reporting and performance marketing optimization. The position is remote with the listed location United States and focuses on standardizing reporting, delivering retrospective analyses, and partnering with Yield, Paid Media, and Account Management teams.

Launch Potato seeks a Lead BI Developer/Manager with a minimum of 7 years in BI or analytics to own end-to-end reporting from raw data ingestion through dashboards. The role requires expert SQL, experience with messy third-party data, LookML (or Power BI/Tableau) development, reporting ownership, and close partnership with Yield, Paid Media, and Account Management to deliver retrospective analyses and optimize campaign/conversion performance.

Launch Potato seeks a Lead BI Developer to own end-to-end reporting infrastructure and analytics for credit cards, banking, and marketplace verticals. Requires minimum 7 years in BI/analytics, expert SQL, experience with messy/unstructured third‑party data, advanced LookML (or Power BI/Tableau) development, and strong focus on reporting ownership, performance‑marketing optimization, and stakeholder partnership.

Launch Potato seeks a Lead BI Developer/Analytics Manager to own reporting infrastructure and standardize dashboards across credit cards, banking, and marketplace verticals. Responsibilities include extracting insights from unstructured data, architecting LookML (or equivalent) models, partnering with Yield, Paid Media, and Account Management, delivering retrospective analyses across experiments/creatives/offers, and driving adoption and data literacy. Minimum 7 years' BI/analytics experience with exposure to performance or affiliate marketing is required.