SecurityScorecard seeks a Senior Data Scientist (5+ years) to develop, evaluate, and deploy machine learning models (Python, scikit-learn, XGBoost, PyTorch, MLFlow) for risk scoring, threat intelligence, and vendor risk assessment. Role involves exploratory data analysis, model validation, collaboration with product and engineering teams, and integration into cloud-based data pipelines (AWS/GCP). Prior cybersecurity experience and familiarity with LLMs/Scala are a plus. No immigration sponsorship provided.

Role owns AI-enabled tooling, conventions, guardrails, and automation across reporting, campaign operations, and measurement. Responsibilities include building and maintaining API integrations and write-capable automations for ad platforms, hardening media-mix modeling and incrementality pipelines, credential hygiene via AWS Secrets Manager, and delivering standardized exec-quality dashboards. Minimum 3 years experience and strong Python and SQL required.

The Home Depot is seeking a Senior Data Scientist for pricing and demand forecasting. The role requires proficiency in deep learning and time series forecasting, development of algorithms and models on large datasets, collaboration with cross-functional partners, project leadership, mentoring, and communicating results to technical and non-technical stakeholders. Minimum 5 years' experience; pay range $90,000–$190,000/year.

Senior AI Full Stack Engineer (remote, LATAM) responsible for developing high-performance big-data applications and cloud-native Azure data pipelines (including ADF), building full-stack applications with React/Angular/Vue and backend services (Node.js/Python/Java), and implementing APIs and microservices. Requires 5+ years experience, strong proficiency in Scala/Databricks/Spark/Python, experience with AI-augmented development (e.g., Vibe Coding), CI/CD and distributed system design; experience with marketing ecosystems (ESP, CDP) is preferred.

Expect to own end-to-end ML components for recommendation and personalization: model design, data preparation, training, evaluation, and production deployment. Role emphasizes distributed training and inference, sequence and foundation-model techniques, low-latency/high-throughput serving, monitoring, and A/B-driven evaluation.

Role to define logical and physical data models, metadata standards, and data product boundaries for unstructured KM content; register and document data products in Databricks Unity Catalog; enforce security/classification and partner with data engineers and KM stakeholders. Must have 5+ years in data/modeling or information architecture and hands-on Databricks/Unity Catalog experience.

The role designs logical and physical models for unstructured and semi-structured knowledge assets, defines data product boundaries and metadata/taxonomy standards, assigns security classifications, and registers data products in Databricks Unity Catalog. Requires 5+ years in data/modeling/architecture, strong Databricks and metadata/catalog experience, and domain knowledge of Knowledge Management or enterprise content.

Oddball seeks a Data Engineer to design, build, and maintain data marts, materialized views, and pipelines in an AWS-hosted data lake for a federal financial regulatory agency. Role requires strong SQL skills, experience with large-scale data infrastructure and PostgreSQL, and familiarity with federal data security/governance (FISMA, NIST 800-53). Position is fully remote; applicants must be authorized to work in the United States. Salary range listed: USD 100,000–140,000 per year.

Coforge seeks a Mid Data Engineer based in Lima (hybrid: 2–3 days/week onsite in Surquillo). Responsibilities include implementing and managing data governance frameworks, developing policies and standards, participating in data quality initiatives (rules and dashboards), and working with platforms such as Databricks and Oracle. Required: minimum 2 years in Data Governance, intermediate knowledge of DAMA-DMBOK, basic knowledge of BIAN/COBIT/DMM, and experience with at least two tools among Collibra, Monte Carlo, SAP HANA or Informatica. Use of generative AI tools like Copilot is mentioned.

Role requires ~3+ years experience in data science/software engineering/finance to build production models and full-stack data solutions, partner with Finance and data engineering teams, drive experimental design and analytics best practices, and deliver BI and financial reporting using tools like SQL, Snowflake/Redshift/BigQuery, dbt, and Looker.

Own and evolve three production analytics platforms (data warehouse ~20PB; event ingestion 6–7B events/day; Airflow orchestration). Deliver three net-new systems: a production cost-attribution pipeline, forecast-driven autoscaling for Trino/dbt, and a production Gen AI (RAG / natural-language-to-SQL) system. Hands-on IC role (~70% coding) requiring experience with large-scale data/traffic, Kafka, Trino, dbt, Airflow, AWS, containers, SQL/Python and production Gen AI.

Individual-contributor senior engineering role responsible for designing, building, and operating merchant and advertiser data marts and the underlying lakehouse substrate (Hive → Iceberg migrations, dbt, Trino, Airflow, Kafka, AWS). Owner of data cataloging, PII classification, GDPR/CCPA deletion propagation, access policy enforcement (Trino + CloudSentry) and production support; reports to the Engineering Director on the Shopping data platform.

Join Hudl's Athlete Performance group to design and implement large-scale, real-time systems that combine live video and biomechanical streams, solve data synchronization and ML inference challenges, and deliver full-stack web features. The role involves collaborating with cross-functional teams (Engineering, QA, Product, Design, Scrum), mentoring engineers, iterating rapidly, and working with a tech stack that includes C#/Node, React, TypeScript, MongoDB/SQL/Elasticsearch and AWS.

Join GitHub's Elasticsearch team to design, build, and operate large-scale Elasticsearch clusters and search infrastructure powering Issues, PRs, Projects, and Discussions. Responsibilities include API design, index management and repair, scaling and availability, mentoring, on-call incident response, CI/CD, and collaboration with cross-functional teams. Qualifications call for substantial experience with Elasticsearch (6+ years noted), general-purpose languages (examples: Go, Ruby, Rust; 6+ years noted), and technical leadership (1+ year noted).

Lead and mentor a team of data platform and ML operations engineers, own the reliability and scalability of the internal data warehouse, and oversee ML lifecycle components including experimentation, training pipelines, deployment, and production monitoring. Requires a minimum of 5 years professional experience in data/ML/software engineering and at least 2 years leading relevant teams; hands-on experience across data infrastructure and ML systems is required.

Lead strategic engineering initiatives to improve how product teams build, operate, and evolve services on Datadog's Observability Data Platform. Design and build scalable platform capabilities (including cost intelligence, operational intelligence, self-service tooling, and reusable services), provide technical leadership and mentorship across teams, participate in on-call rotation, and drive platform reliability and observability. Requires experience with large-scale SaaS/cloud platforms, distributed systems, and backend technologies such as Java and Go; familiarity with Kafka and Kubernetes is mentioned.

On-site Data Engineer role based in DoiT's Tel Aviv office working on Attribute™. Responsibilities include developing and operating ETL and data pipelines, backend features, and service maintenance (GCP-based). Requires 3+ years experience and practical experience with Python, Spark/PySpark, Pub/Sub, Terraform, and CI/CD. Familiarity with eBPF, SaaS production environments, and optional C++/C# experience noted as bonuses.

Remote Cloud Data Architect role supporting a VA multi-cloud data and analytics platform. Responsibilities include owning and documenting cloud data architecture (primarily Azure/Azure Databricks), leading modernization and migration efforts, implementing governance/security/compliance for sensitive PII/PHI (including FISMA and NIST 800-53), enabling AI/ML workflows and model deployment, and collaborating with engineers, analysts, and VA stakeholders. Applicants must be authorized to work in the United States. Stated U.S. salary range: $150,000 - $180,000.

CrowdStrike seeks a hands-on Principal/Staff-level Data/AI Platform Engineer to architect, implement, and operate large-scale data platforms powering LLMs, RAG, and agentic systems. The role requires 5+ years in data/platform engineering (with 3+ years on AI/ML platforms), deep experience in LLM engineering, distributed systems, MLOps/DataOps, and production-grade tooling across cloud, streaming, and orchestration technologies. US base salary range: $195,000–$290,000/year.

Senior architect role responsible for end-to-end AEP/RT-CDP solution design, data ingestion (batch and streaming), XDM schema design, identity resolution, integrations with Adobe Experience Cloud products and enterprise systems, data governance and privacy compliance (GDPR/CCPA), technical leadership, and performance/security optimization. Typical experience: 8+ years IT with 3–5+ years in AEP/RT-CDP or enterprise CDP architecture.