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Data Platform Lead Engineer - Production Pipelines
Lead a team to design and maintain scalable data pipelines using Databricks, DBT, and Airflow for reliable analytics and self-service BI.
Staff Data Platform Engineer
Build and scale a unified data platform for a telecom-as-a-service company, integrating data lakes, warehouses, and real-time pipelines using Spark, Airflow, and Kubernetes.
Senior Data Science Engineer I
Build and maintain healthcare data pipelines and models in Python/SQL, unifying multi-source datasets for analytics and products in a price-transparency platform.
Senior Azure Data Platform Engineer
Designs and maintains Azure-based data pipelines, warehouses, and Databricks solutions, then builds Power BI dashboards to turn data into business insights.
Data Engineer
Designs and builds cloud data pipelines in Snowflake using Airflow and dbt, optimizing SQL queries and ETL/ELT workflows for enterprise-scale analytics.
Senior Snowflake Data Engineer | Airflow & dbt Specialist
Designs and optimizes cloud data platforms using Snowflake, Airflow, and dbt, building enterprise-scale pipelines and automating workflows with Python.
Azure Data Platform Engineer – Big Data & Pipelines
Build and maintain Azure-based data pipelines and big-data workflows using Data Factory, while contributing to front-end components in a Scrum team.
Senior Quant Data Scientist - Financial Data Pipelines
Build and maintain financial data pipelines and run quantitative analyses to support investment strategies using Python and SQL.
Data Engineer
Designs and maintains scalable data pipelines and ETL processes to collect, process, and store logistics data for analytics and reporting.
Data Engineer - Cloud Pipelines
Build and maintain cloud-based data pipelines for batch and streaming analytics, using Python, SQL, Kafka, Airflow, and GCP/AWS services to power business insights and ML at a fast-growing Q-commerce platform.
Senior Data Engineer - Build Scalable ML Data Pipelines
Design and maintain scalable data pipelines for AI and analytics in a fintech firm, collaborating with data scientists to support financial infrastructure.
Data Engineer
Designs and maintains scalable data pipelines and cloud-native platforms to ensure reliable, high-quality data for analytics, BI, and AI use cases using SQL, Python, and Azure.
Data Engineer
Build and maintain Python-based data pipelines in Prefect to ingest API and telemetry data into PostgreSQL, automate reporting, and improve the energy-infrastructure data platform.
Data Engineer: Pipelines, APIs & Platform Automation
Builds and maintains data pipelines and APIs for an energy-focused data platform using Python and SQL.
Liquidity Portfolio Analytics Engineer - Data Pipelines
Build and maintain data pipelines and production-grade code for a liquidity model at a sovereign wealth fund, integrating financial data systems.
QA Engineer: Data Pipelines & AI APIs
QA Engineer validates AI-powered data pipelines and APIs for UAE financial clients, automating tests and ensuring data integrity from source to consumer.
R&D AI/ML Software Engineer — Data Pipelines & MLOps
Builds and deploys AI/ML systems, focusing on data pipelines, RAG or agentic workflows, and backend services for mission-focused AI capabilities.
AI/ML Engineer - Multi-Agent Systems & Data Pipelines
Build AI-native workflows and scalable multi-agent systems using Node.js, Python, and LLM frameworks like LangGraph/LangChain.
Senior Data Science Engineer: Healthcare Data Pipelines
Build and maintain scalable healthcare data pipelines and analytics solutions using ETL/ELT, Airflow, and cloud platforms like S3/Redshift.
Data Analytics Engineer — Build Big Data Pipelines on GCP
Build and maintain scalable data pipelines on Google Cloud Platform using BigQuery, Dataform, and Dataplex to support analytics across business units.