Khan Academy seeks an International Analytics Lead to own KPI reporting (Streamlit), define secure data enclave requirements, enforce data governance, enable local analysts across country teams, and lead cross-cutting analytics projects. Requires 7+ years in data strategy/analytics, expertise in SQL, Python, Google Sheets and visualization tools, and experience working across time zones and cultures. Role is remote (US & Canada) with occasional international travel (1–2x/year).

Join the Platform Data team to lead production data pipelines and streaming systems that power Leadfeeder's product. Responsibilities include designing and operating real-time ingestion, enrichment, processing, and serving layers; owning cloud infrastructure as code; implementing data quality and observability; and partnering with product and ML teams. The role requires 10+ years of data/software engineering experience, strong production-grade Python and SQL skills, deep cloud (AWS) and infrastructure-as-code experience, hands-on experience with streaming (Kafka/Kinesis/Flink/Spark Streaming), modern warehouse/lakehouse technologies (Snowflake/BigQuery/Redshift/Databricks/Athena), and dbt. Candidates must be physically located in Europe and work effectively in a remote environment.

Work on infrastructure, tooling, and paved paths to move production data into a governed medallion architecture for near real-time access. Own and operate a hybrid Databricks and Snowflake architecture, unified storage layer, and platform standards. Required experience includes streaming architectures, large-scale distributed systems, cloud platforms (primarily AWS), IaC, and languages such as Python, Go, Scala/Java.

The Media Monitoring Automation Specialist will migrate manual workflows into automated, human-in-the-loop systems (using tools such as n8n), configure pipelines for content acquisition, validation, tagging, summarization and delivery, maintain SOPs and documentation, monitor and troubleshoot workflow and data quality issues, and support vendor-related processes. The role is remote (Bulgaria), requires up to 10% travel (including an annual company offsite), and the listed gross monthly salary in Bulgaria is approximately 1,200 EUR.

Join NVIDIA's Financial Systems Engineering team to architect event-driven (Kafka) pipelines, design transactional data models, and implement scalable ETL/ELT solutions (Databricks, dbt) for global payment and invoicing systems. The role requires expertise in PostgreSQL-backed REST APIs, Python/Golang/Scala/NodeJS, distributed systems, cloud infrastructure (AWS/GCP/Azure), and container platforms (Docker/Kubernetes).

CrowdStrike is hiring a Senior Software Engineer focused on Generative AI and LLM engineering. The role involves designing and implementing scalable, high-performance distributed systems and data pipelines, translating models into production, optimising workflows, and contributing to AI/security architecture. Required strengths include software development in Go/Rust/Python, experience with cloud environments (AWS), and familiarity with technologies such as Docker, Kubernetes, Kafka, Cassandra and Elasticsearch. This is a remote role based in Romania.

Implement Vault R&D migration projects, including migrating document content and object data from legacy systems to Veeva Vault using Vault API and migration tools; support validation exercises, collaborate with Data Migration Leads and Architects, develop migration tools and contribute to the migration knowledge base. Requires 3+ years with Veeva Development Cloud, customer-facing technical consulting, and implementation/data migration or integration experience; skills in SQL, databases, and REST APIs.

Role to build and operate infrastructure that ingests clickstream, product interaction, and transactional data, handling millions of messages per second with single-second end-to-end latency. The position emphasizes ownership, distributed systems and system design experience, and familiarity with streaming technologies (examples: Kafka, Kinesis, Pulsar, Warpstream). Remote for North America; listed base salary $180,000–$400,000 USD/year.

Lead engineering on Hightouch's streaming infrastructure that ingests clickstream and transactional events and powers real-time personalization. Responsibilities include architecting systems to preserve <1s end-to-end latency at >1,000,000 messages/sec, message deduplication, caching improvements, and enabling zero-downtime deployments while mentoring and leading other engineers.

Develop end-to-end predictive and optimization solutions to support credit underwriting decisions, including data wrangling, feature engineering, model development (classification, regression, clustering), hyperparameter tuning, validation, and deployment/MLOps. Requires 4+ years building and validating credit risk models and familiarity with loan origination systems, credit bureau data, and decisioning engines.

Experienced Data Engineer responsible for designing, developing, and maintaining data frameworks and ETL pipelines for an Operational Data Store/Enterprise Data Lake. Key technologies include Python, SQL, DBT, Apache Airflow, Snowflake/Redshift, CI/CD and source control. Role focuses on marketing data (campaigns, leads, funnel, revenue attribution), stakeholder partnership with Analytics/Sales/Marketing, and ensuring data quality and scalable architectures.

Lead RWD strategy and data access across selected European markets, developing client-facing proposal materials, executing regional RWD acquisition strategies, managing vendors and partnerships (EMR/EHR, claims, registries, specialty data), ensuring governance and ROI, and aligning RWD approaches with regulatory guidance such as EMA. Role requires senior hands-on RWD experience, cross-functional collaboration, and leadership.

Hire for a Senior Data Analyst to establish reconciliation foundations across internal systems and external partners—designing pipelines, anomaly rules, AI/ML-based matching, and data quality frameworks. Requires 5+ years in data analytics/data engineering/financial data, deep SQL and Python, experience with Snowflake and/or Databricks, familiarity with ACH/payment settlement processes, and experience with anomaly detection and probabilistic matching. Role is remote within the United States (except Hawaii).

Lead and contribute to data engineering projects: design, build and maintain high-quality data pipelines, implement best practices, partner with stakeholders, participate in on-call support, perform code reviews, and collaborate with Data Science and cross-functional engineering teams. Required expertise includes Spark, big data tools (EMR, Kafka), cloud (AWS), Python/Scala, SQL, ETL, and orchestration tools such as Airflow.

Sardine seeks a senior backend-focused Software Engineer based in India (remote-first, specific cities listed) with 7+ years of web backend experience. Responsibilities include designing, building, and maintaining scalable APIs and backend services, contributing to data pipelines and internal tooling, collaborating with product and engineering teams, and producing technical documentation. Preferred skills include Golang, data engineering, PostgreSQL, GCP (Dataflow, BigQuery), and experience in fintech/fraud prevention.

Point is hiring a Senior Data Scientist to design, train, deploy, and monitor machine learning models, develop time-series forecasts and dashboards, maintain high-quality datasets, and partner with cross-functional teams. Requires ~4–5 years experience, strong Python (Pandas/NumPy), ML toolkit experience (scikit-learn, PyTorch/TensorFlow a plus), SQL, and familiarity with BI tools (Tableau/Sigma/Power BI).

Contractor mentor role supporting learners in Udacity's School of Data. Requires 5+ years of relevant technical experience and proficiency in Python and/or SQL, data analysis and modeling, ETL and data pipelines, data visualization tools (e.g., Pandas, NumPy, Tableau/Power BI), and familiarity with databases and data warehousing. Responsibilities include 1:1 mentoring, technical deep-dive presentations, and group Q&A sessions.

Lead design and implementation of robust ETL/data pipelines from APIs, cloud databases, and third-party systems; use dbt and Snowflake for modeling and transformation; implement monitoring, CI/CD, testing, and best practices; mentor team members and collaborate with engineering, product, and analytics. Requires 6+ years experience.

The role owns vector stores for RAG, the feature store for training and inference, and graph data structures modeling applicants/products/decisions. Responsibilities include data discovery and profiling, building AI-ready datasets with lineage and freshness SLAs, evaluating retrieval/feature quality, and partnering with ML engineers and governance teams. Requires 4+ years of relevant experience and strong skills in Python, SQL, Databricks, vector & graph technologies, and embedding/LLM tooling.

Sardine is hiring a Data Platform Engineer based in Brazil (remote) to build scalable, data-intensive applications including ETL and streaming pipelines, high-performance APIs, and scalable storage (e.g., Bigtable, BigQuery, ElasticSearch). The role requires 5+ years of experience and strong hands-on skills with technologies such as Apache Flink/Beam/Spark, Go/Python/Java, SQL/NoSQL, AWS or GCP, Docker, Kubernetes, and CI/CD.