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Data engineer
Build and maintain data pipelines and integrations to make waste, energy, and sustainability data accessible and reliable for HVC’s teams using Azure, SQL, and Microsoft Fabric.
Data Engineer
Design and build cloud-based data pipelines for multimodal datasets (video, audio, sensor) to power AI training for next-gen robotics systems.
Senior Azure Data Engineer: Cloud Data Pipelines & PySpark
Design and optimize scalable Azure data pipelines and analytics platforms using Azure Data Factory, Azure Databricks, PySpark, and Python for ETL/ELT solutions.
Data Engineer — Azure Pipelines & Data Lakes
Designs and builds scalable data pipelines, lakes, and warehouses using Azure, IaC, and CI/CD to ingest ERP/API data (structured/unstructured) and prepare it for reporting, collaborating with teams to meet project needs.
Remote Senior Data Engineer — Azure, Spark & ETL
Design and build scalable data pipelines and ETL/ELT processes on Azure and Spark to integrate SAP and other sources, enabling analytics, AI, and automation for a global enterprise.
Data Engineer for FinTech Platform (Airflow, Redshift, dbt)
Build and maintain a fintech data platform using Redshift, Airflow, and dbt, modernizing pipelines and enabling analytics and ML for wealth management.
Senior / Staff data Engineer (Agentic AI)
Design and optimize scalable data pipelines and agentic AI workflows to process structured/unstructured data and enable intelligent automation for analytics and AI initiatives.
Data Engineer (Snowflake/Azure) - Remote
Design and build scalable cloud data pipelines on Snowflake and Azure, using dbt, Airflow, Python, Docker and Kubernetes to power enterprise analytics and decision-making.
Data Engineer
Build and maintain scalable data pipelines on Databricks using PySpark and cloud tech to support investment analytics in a global fintech firm.
DevOps Cloud Engineer
Senior DevOps/Cloud Engineer designs and automates AWS cloud infrastructure, CI/CD pipelines, and observability stacks using Terraform, Kubernetes, and Datadog to improve reliability and performance.
SENIOR FULL STACK DEVELOPER Node.js + React
Build and maintain full-stack web apps using Node.js, React, and AWS, collaborating with global teams to deliver scalable, secure solutions for data-driven business needs.
Data Engineer (AMI)
Designs and maintains scalable data infrastructure for AMI systems, builds pipelines to integrate metering data, and ensures data quality for monitoring and analytics.
Data Engineer (AMI)
Designs, builds, and maintains data infrastructure for AMI data collection, processing, storage, and analytics. Works with cloud technologies, data pipelines, and big data systems like Hadoop and Spark.
Data Scientist
Build and deploy ML models (classification, regression, clustering) for finance, healthcare, and tech clients, then visualize insights and productionize pipelines.
Senior Data Engineer
Senior Data Engineer designs and implements cloud-native data platforms (Microsoft Fabric) for financial clients, building scalable ETL/ELT pipelines, Medallion Architecture, and Power BI solutions while modernizing legacy estates.
Data Engineering Lead
Lead the build-out of scalable ETL/ELT pipelines and a governed data warehouse for an electric-air-taxi startup, ensuring auditable data lineage and clean access layers for engineering and commercial teams.
Full Stack Engineer (Backend Heavy)
Build and scale an AI-driven security platform by designing autonomous agents for threat investigation, response, and automation, while architecting distributed systems for high-scale, multi-tenant security operations.
Applied AI Engineer
Build and improve AI agents that automate cybersecurity workflows like SOC alert triage, threat hunting, and penetration testing using Python, LLMs, and distributed systems.
Quality Assurance Specialist
QA engineer validates ETL pipelines, backend databases, and cloud data platforms (AWS, Databricks, Redshift) using SQL and Python automation to ensure data integrity and accurate reporting.
Data Engineer
Build and own scalable data pipelines, cloud warehouse, and BI tooling using Python, SQL, dbt, Airflow, and Snowflake/BigQuery to turn product signals into business intelligence for a remote-first SaaS and AI company.