The Data 360 Technical Architect role in Salesforce Professional Services delivers technical solutions centered on Data 360/Data Cloud, data management, integrations, and identity resolution. The role requires experience with Salesforce and CDP platforms, data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery), ETL/data transformation, and familiarity with AI-related data integration concepts such as RAG and vector databases. Candidate must be client-facing, able to advise customers, manage multiple strategic clients, and travel when needed (expected <50%).

Seeking a Senior Data Modeller based in Latin America (remote for legal LATAM residents). Responsibilities include designing and maintaining conceptual/logical/physical enterprise data models, developing dimensional models (star schemas) optimized for Snowflake and Power BI, defining entities/relationships/grain/naming standards, and supporting consolidation to a Snowflake on AWS platform. Required: 7+ years in data modelling/data warehousing, advanced SQL, Snowflake, cloud data platforms (AWS or Azure), BI tooling (Power BI or similar), ETL/ELT knowledge, and advanced/fluent English.

Seeking a Lead Data Engineer based in Latin America (remote for legal LATAM residents). Requires 8+ years in data engineering including 2–3 years in lead/staff roles. Responsibilities include leading a team, owning end-to-end data platform architecture, driving migration from Snowflake/SSIS to Azure Databricks and DBT, implementing Terraform IAC, CI/CD, and ensuring scalability, reliability and data quality. Industry experience in insurance or financial services is preferred.

Join EnergyHub's Data Science and Power Systems Intelligence team to develop and improve energy forecasting models, control and optimization algorithms, and production-grade software. Work with large distributed energy datasets, build data pipelines, monitor operational models, and present results to stakeholders. Requires strong machine learning, optimization, Python, and data engineering experience.

Maropost seeks a Senior Software Engineer (Data Engineer) to design and build scalable data engineering services: ingestion pipelines (CDC, Kafka/Pulsar), centralized analytics warehouse, data models/materialized views, APIs, and multi-tenant data governance. Requires 5+ years building/operating large-scale distributed systems or data engineering solutions, strong SQL and experience with analytical warehouses (ClickHouse, BigQuery, Snowflake/Redshift), streaming tools (Debezium, Flink, Dataflow), Go and Python, and familiarity with GCP and Terraform. Comfortable with on-call duties and production ownership.

Senior Data Engineer role in Lima, Perú (modalidad híbrida). Responsibilities include leading data migration projects from on‑premise to cloud, analyzing Sandbox processes, designing data engineering solutions, and ensuring data quality and availability. Required: minimum 4 years in data migration projects, experience with Oracle (on‑premise to cloud) and ERP Cloud; experience with cloud environments and data pipeline optimization is desirable.

Lead modernization of corporate data infrastructure: design, build, and scale robust ETL pipelines into a cloud data warehouse (with AWS S3 ingestion), establish rigorous reconciliation, data quality, and monitoring (Workato/Tines) to support SOX compliance, and set data engineering best practices (CI/CD, version control, orchestration). Requires 7+ years of relevant experience and experience with ERPs (e.g., NetSuite) or financial platforms and iPaaS tools is a strong plus. Listed base salary range: $180,200–$252,300 USD per year.

Technical leader responsible for designing, implementing, and operating semantic infrastructure and platform capabilities that enable telemetry modeling, schema evolution, and semantic interoperability across Datadog products. Responsibilities include driving technical direction, partnering with engineering and product teams, mentoring engineers, participating in on-call rotations, and resolving complex production incidents.

Lead full lifecycle data engineering work: requirements, design, development, deployment and monitoring of data transformations and automated workflows using Python, DBT, Apache Airflow and cloud data platforms (e.g., Snowflake, Redshift). Require 3+ years experience, marketing data domain knowledge (campaigns, leads, funnel, revenue attribution), CI/CD and source control expertise, and collaboration with analytics, sales and marketing stakeholders.

Lead and scale enterprise data architecture and strategy, define and execute complex data migrations and ETL into test/UAT/production, provide data services and consulting (readiness, BI/dashboarding, governance), support commercialization of AI analytics offerings, and build the Data Strategy & Services operating model. Requires 7+ years of progressive leadership in data architecture, analytics, BI, or data strategy and eligibility to work in the United States without sponsorship.

Remote (Canada) senior Research Engineer on STRIKE responsible for owning the research-to-production pipeline: building detection content (YARA, Sigma, STIX), platform components (distribution servers, sandbox orchestration, ingestion), schema and standards adoption (STIX 2.1, TAXII 2.1), and production LLM integrations with retrieval and eval harnesses. Requires 5+ years hands-on engineering experience with threat intelligence or detection engineering, production Python and TypeScript/Node development, cloud (AWS), data pipelines, and practical experience with STIX/TAXII/MISP and detection tooling. SecurityScorecard does not provide immigration sponsorship for this position.

SecurityScorecard seeks a Senior Research Engineer for its STRIKE Threat Intelligence team to own the research-to-production path: turning findings into detection rules, distributed feeds, scoring inputs, and platform APIs. The role requires 5+ years hands-on engineering with prior experience building production systems that consume or emit threat intel, strong skills in Python and TypeScript/Node, familiarity with STIX/TAXII/MISP/MITRE ATT&CK, practical experience with YARA/Sigma and LLM-backed systems, and experience with cloud, containers, and CI/CD.

Join STRIKE as the engineering counterpart to threat research, owning delivery from research outputs (malware findings, indicators, behavioral patterns) to production artifacts (detection rules, distributed feeds, schema-constrained outputs). Requires 5+ years engineering experience with threat intel or detection engineering, production experience with STIX/TAXII and detection tooling (YARA, Sigma), strong Python and TypeScript/Node skills, cloud and pipeline experience (AWS, containers, CI/CD), and experience shipping systems that use language models.

Senior engineer to own and modernize data-intensive backend systems and low-latency streaming pipelines that capture, aggregate, and deliver workout telemetry. Requires 5+ years building and operating production backend services, deep proficiency in Node.js and TypeScript, hands-on AI/LLM experience, and experience with AWS (Lambda, ECS, S3, RDS/Postgres), streaming technologies (Kafka/Kinesis), and infrastructure as code (Terraform). Candidate must be authorized to work in the United States without sponsorship.

Launch Potato seeks a Lead Applied Scientist to own the full data science engine for a priority vertical (starting with Insurance). The role is hands-on across problem framing, model building and validation, deployment handoff to ML engineering, and performance monitoring with a focus on ROAS and paid-media/adtech modeling. Required: 5+ years in applied data science, experience deploying ML in AWS, and expertise in Python, SQL, reinforcement learning/multi-armed bandits, recommendation/ranking systems, LTV and monetization modeling. Remote within the United States.

Manage and perform exploratory and confirmatory analytics on clinical trial and biomarker data (genomics, proteomics, imaging, flow cytometry, RWD). Design and implement statistical and ML models (time-to-event, longitudinal, multivariate), build reproducible data engineering pipelines and cloud-based solutions, and collaborate with biostatistics, translational and clinical scientists to support regulatory and project decisions.

Nagarro seeks an Associate Principal Engineer in Data Architecture (remote, India) with 9+ years' experience. The role requires strong data and enterprise architecture expertise in financial services (Risk, Finance, Treasury, Compliance, Transaction Banking, Capital Markets), knowledge of regulatory reporting frameworks (FINREP, ILAAP, CCR, STE, TTR), enterprise data modelling (FSLDM, BIRD), and hands-on experience with platforms such as Databricks, Snowflake and governance tools like Collibra. Responsibilities include defining and governing enterprise data architecture, leading domain data modelling, enabling data governance forums and supporting regulatory reporting and transformation initiatives.

ClickUp is hiring a Staff Data Engineer (locations: United States and Canada) to define and drive the technical roadmap for its data platform. The role requires owning architecture and design decisions for scalability, cost, reliability, and developer experience, building pipelines with AWS serverless services, Snowflake and dbt, maintaining infrastructure for AI/ML workloads (LLMs, feature pipelines, model monitoring), and mentoring senior engineers. Qualifications include significant data/backend engineering experience with at least 3 years at a senior/staff level and expertise in AWS, Terraform/CDK, Snowflake, dbt, SQL, Python, orchestration tools (Airflow/Dagster/Prefect), CI/CD, and streaming/event-driven systems.

Twilio is hiring an MDM Data Specialist (L2)/Data Steward to own the integrity of master data (Customer and Product), manage golden records, oversee matching and merging, define and monitor data quality KPIs, perform root-cause analysis and remediation, implement automated profiling/cleansing, and support data governance. Requires 3–5 years in data management or stewardship and strong SQL and MDM knowledge. Role is remote and based in India.

End-to-end responsibility for a scaling data platform: design, build and maintain Airflow pipelines, manage Snowflake warehouse, implement dbt transformations, operate platform services on Kubernetes/EKS, provision infrastructure with Terraform, write SQL/Python for ETL, manage PostgreSQL sources, adopt CDC with Debezium, and implement observability with Datadog. Requires 5+ years experience in data engineering and strong hands-on expertise with Snowflake, dbt, Airflow, Python, SQL, Kubernetes, and Terraform.