Coforge is hiring a Lead Data Engineer to lead and mentor a team, own end-to-end data platform architecture, design scalable data pipelines and models, and drive a migration strategy from Snowflake/SSIS to Azure Databricks and dbt. Required skills include strong Python, DBT, Snowflake, Azure Databricks, Terraform, advanced SQL, CI/CD and Git, experience with large-scale data transformations, and familiarity with insurance/financial domain concepts.

Gremlin seeks a Data Scientist, AI/ML to analyze millions of chaos engineering experiments and build ML systems that detect, classify, explain, and remediate failures. Responsibilities include pretraining/fine-tuning models, developing scalable data pipelines and feature stores for training and real-time inference, and applying techniques such as causal inference, graph ML, time-series modeling, and reinforcement learning. The role requires 5+ years of professional experience building and productionizing machine learning systems; the position is remote and based in the US and does not offer visa sponsorship.

Encora is hiring a Developer based in Scottsdale, AZ. The role specifies experience with Oracle, Teradata or Hadoop.

SAS Developer role for Encora located in Scottsdale, AZ. Full job description not provided.

Coforge busca un Ingeniero de Datos Senior ubicado en Lima, Perú (híbrido). El rol implica diseñar e implementar CDC desde on‑premise a cloud usando PySpark, construir ingestión basada en Apache Kafka, desarrollar pipelines batch y streaming, asegurar monitoreo/trazabilidad y documentar soluciones. Se solicita experiencia avanzada en Python, GCP (Dataproc, Managed Airflow, Pub/Sub), Databricks, Apache Spark y Apache Kafka.

Senior technical role in Singapore to analyse requirements, design and implement data movement and integrations (APIs, SFTP, batch, file-based) across enterprise data platforms (Informatica, Cloudera). Work includes data mapping/transformation, SQL and Python scripting, integration reliability, monitoring, and preparing structured and unstructured data for GenAI workflows (document ingestion, RAG, embeddings). Requires ~10 years experience.

Fully remote role for candidates based in South Africa. Lead complex clinical data engineering projects: implement data receipt agreements, design data ingestion procedures using SAS/Workbench/SQL/R, create reconciliation checks and offline listings, aggregate data from multiple sources, maintain documentation and regulatory compliance (ICH-GCP, 21 CFR Part 11, SOPs), mentor teams, and act as a client-facing subject matter expert.

Lead multi-quarter technical initiatives for Tempo, owning architecture and operational outcomes for ingestion, storage, query, and metrics. Work cross-functionally with product and sibling teams, mentor engineers, participate in on-call and incident response, and contribute to the Tempo open-source project.

Parexel seeks a Senior Clinical Data Engineer based in South Africa (fully remote) to support global clinical trials. The role includes programming and configuring data ingestion (SAS, Workbench, R, SQL), performing reconciliation checks and custom reports, aggregating and managing external data, ensuring compliance with SOPs and regulations (ICH-GCP, 21 CFR Part 11), maintaining study documentation, leading programming teams, and driving process improvements. Applicants must reside in South Africa and be legally authorized to work there.

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 is hiring a Senior Software Engineer (Data Engineer) to build and maintain scalable data ingestion pipelines, centralized analytics warehouse, data models/materialized views, and supporting backend APIs. Requires 5+ years of backend or data engineering experience, strong SQL and data modelling skills, experience with streaming/CDC (Kafka, Debezium, Flink), modern analytical warehouses (ClickHouse, BigQuery, Snowflake, Redshift), proficiency in Go and Python, and familiarity with GCP and infrastructure-as-code (Terraform).

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 and scale enterprise data architecture and data strategy across product verticals; design and oversee complex data migrations (ETL), data readiness, BI/dashboarding, third-party integrations, and agentic AI capabilities. Partner with Product, Engineering, Sales, and Customer Success; manage client-facing professional services, commercialization of premium analytics offerings, and maintain continuity for legacy accounts. Requires 7+ years of progressive leadership experience in data architecture, enterprise analytics, BI, or data strategy.

Join STRIKE as an engineering counterpart to threat researchers to own the pipeline from findings to production artifacts (detection rules, feeds, APIs). Requires 5+ years engineering experience with threat intelligence, production systems that consume/emit threat intel, strong Python and TypeScript/Node skills, working knowledge of STIX/TAXII/MISP/MITRE ATT&CK, hands-on YARA and Sigma experience, and experience shipping systems using language models. Remote role tied to Pittsburgh, PA; company states it does not provide immigration sponsorship for this position.

Join STRIKE to own the research-to-production pipeline: build and maintain platform components (distribution servers, sandbox orchestration, ingestion, agent runtimes), produce detection content (YARA, Sigma, STIX), drive STIX/TAXII adoption, and ship model-driven and traditional workflows. Requires 5+ years of engineering experience with threat intelligence or detection engineering, production-level Python and TypeScript, cloud and CI/CD experience, and hands-on experience with threat intel standards and detection tooling.

Join STRIKE as the engineering counterpart to threat research, owning delivery from research outputs (malware findings, indicators, behavioral patterns) to production artifacts (detection rules, feeds, APIs). The role requires production experience with threat intel data, detection tooling (YARA, Sigma, STIX), cloud and CI/CD infrastructure, and shipping systems that use language models with retrieval, schema validation, and eval harnesses.

Join SecurityScorecard's STRIKE team to own the research-to-production path: implement detection rules, distributed feeds, pipeline hooks, and platform integrations. Requires 5+ years engineering experience with threat intelligence or detection engineering, production experience with Python and TypeScript/Node, familiarity with STIX/TAXII/MISP/MITRE ATT&CK, applied language-model systems experience, and cloud/container/CI-CD knowledge. Remote (Washington, DC). No immigration sponsorship provided. Estimated total compensation range $140,000–$180,000.

iFIT is hiring a Senior Software Engineer for its Data Services team (remote, US) to own ingestion, aggregation, streaming, integrations, and content delivery systems. The role requires 5+ years building production backend services, deep Node.js and TypeScript proficiency, experience with streaming/event-driven systems (Kafka/MSK, Kinesis), AWS (Lambda, ECS, RDS/Postgres, S3, MongoDB), infrastructure as code with Terraform, and hands-on AI/LLM development. Responsibilities include leading multi-milestone initiatives, owning reliability (SLOs, observability, on-call), and modernizing data pipelines. Compensation listed: $130,000–$160,000 USD/year.

Hands-on role responsible for the full data science lifecycle: framing business problems with stakeholders, building and validating models, and working with ML engineering through deployment and monitoring. Requires 5+ years in applied data science with experience in paid/performance marketing, AWS-based ML deployments, Python, SQL, and techniques such as bandits, recommender/ranking systems, and LTV modeling. Primary metric: ROAS.

Hands-on lead role owning data science end-to-end for a priority vertical (starting with Insurance): problem framing, modeling, deployment handoff to ML engineering, monitoring, and driving ROAS and lead quality improvements. Requires 5+ years applied data science experience and multi-year experience building and deploying ML solutions in AWS; strong Python and SQL skills and experience with reinforcement learning, recommendation/ranking systems, LTV and funnel/monetization optimization.