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Build and own data pipelines and models for a defense-tech platform, using SQLMesh, Palantir Foundry, and AWS Athena to power real-time analytics and AI-driven command systems.
Builds cloud data pipelines and storage systems to ingest, normalize, and deliver real-time robotics telemetry from defense vehicles to analysis tools using Python, Rust, and distributed systems like Spark and Kafka.
Builds and operates cloud data pipelines that ingest, normalize, and stream robotics telemetry from defense vehicles to enable real-time analysis, fleet-wide insights, and AI-driven command systems.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines on Databricks/Spark to transform data into AI-ready datasets for analytics and supply chain solutions in a global logistics company.
Are you interested in how data comes to life? We’re looking for someone who enjoys building things from scratch and seeing their work make a real difference for students, teachers, and professionals. If you like the…
The role in one sentence You will turn a working product into a working customer deployment - connecting APIs and data, debugging environments, shipping reliable services, and keeping the customer confident while you…
Th e Senior Data Engineer is responsible fo r designing, building, and maintainin g the data pipelines, transformation layers, and data models that power the enterprise lakehous e . This role is a technical anchor on…
Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s…
Leads MNTN's Data Platform team, which builds and maintains the internal data infrastructure and tooling (ingestion, transformation, orchestration, observability, governance) used by data engineers, analysts, and data scientists. A hands-on engineering manager role involving roadmap setting, code contributions, hiring, and coaching, with tech like Airflow/Dagster, BigQuery/Snowflake, Kafka, SQLMes
Senior Analytics Engineer at Prefect owns go-to-market analytics: building and maintaining the GTM data model in dbt, modeling the self-serve and sales funnels, attribution, and unit economics, and shipping the reporting layer in Omni. Core stack is dbt, SQL, Python, a cloud warehouse, and GTM systems like Salesforce and Amplitude.
Staff platform engineer on the Prefect Cloud team building and scaling an agentic orchestration platform. Day to day: setting SLOs/error budgets, writing maintainable code, on-call and incident response, and improving reliability and performance of large-scale distributed systems with cloud, Kubernetes, Terraform, and observability tooling like Datadog, Grafana, and Prometheus.
Data engineer at consultancy PALO IT, embedded with a leading insurance client, building cloud data pipelines and lakehouse platforms (Azure, Spark, dbt, Kafka, Airflow, Snowflake) with data quality and governance. The role is explicitly AI-native: daily use of GenAI coding tools like Copilot and Cursor.
Senior data scientist owning data architecture and governance at a consumer-brands company: managing PostgreSQL as the governed source of truth, building ETL/ELT pipelines across MongoDB, Supabase, Firebase and AWS, establishing company-wide data governance and quality protocols, and delivering analytics and ML models. In-person role in Islamabad with 6pm–2am PKT hours.
Designs and maintains scalable data pipelines and warehouses to transform raw data into reliable datasets for enterprise discovery services, using Python, Spark, and cloud-native tools.
Senior machine learning engineer on Apella's Forecasting team, building and maintaining production ML pipelines for automated model retraining, deployment, and serving. Core stack includes Python, Docker/Kubernetes, CI/CD (GitHub Actions, ArgoCD), Terraform/Helm, and orchestrators like Dagster/Airflow in a healthcare (surgical) setting.
Build and own the data pipelines, models, and infrastructure that power Virtualitics' AI-native readiness platform, turning high-volume government and defense data into analysis-ready inputs using Python, SQL, Spark, and AWS. Washington, D.C.-based role with remote flexibility; an active SECRET clearance is required.
Aircall is hiring a Senior Data Infrastructure Engineer in San Francisco to build and run its data platform: migrating off Redshift to an Apache Iceberg lakehouse on S3, owning Flink CDC→Kafka ingestion, dbt-on-Spark via Kyuubi on EKS, Airflow orchestration, governance, observability, and self-service tooling for analytics engineers.
Build and maintain analytics-ready data models using dbt and Snowflake to power PlayStation’s global partner platform, ensuring trusted, scalable datasets for data-driven decisions.
Junior Software Engineer at Trulioo's San Diego office (hybrid, 3 days/week onsite) taking AI agent prototypes for identity verification from proof-of-concept to production. Day to day involves Python backend work, hardening LLM/agent code, building agent evaluations, AWS data pipelines, and production support.
Design and maintain high-throughput data pipelines and lakehouse infrastructure to power large-scale AI model training and inference for aviation software.
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