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Leads quality engineering for cloud applications, mobile platforms, and data systems at an AI-driven robotics company, designing automation frameworks and validation strategies in Python.
Designs and optimizes Snowflake-based data platforms, builds ETL/ELT pipelines, and ensures performance, security, and governance for enterprise data warehousing.
Builds and maintains data pipelines, analytics models, and dashboards using dbt, Snowflake, Python, and Looker to turn business data into actionable insights and self-service reporting.
Build and modernize a cloud-based data platform for analytics and ML, designing scalable pipelines, warehouses, and governance to enable real-time enterprise reporting and self-service access.
Designs and builds ETL/ELT pipelines and optimizes data workflows using Python, SQL, Airflow, Spark, and ClickHouse/PostgreSQL for Moscow’s digital city-management systems.
Build and scale AI-powered agent systems and backend services for a climate-focused SaaS platform using Python, Django, and AWS, with LLM frameworks like LangGraph and LangChain.
Build and maintain data pipelines, integrate data for analytics, and automate ML training/scoring using Snowflake, Python, and MLOps.
Design and negotiate global employee benefits packages, shifting Pebl’s model from allowances to high-margin insurance plans while managing 70+ vendor renewals and integrating benefits into their AI-powered HR platform.
Design and negotiate global employee benefits packages, shifting from allowance models to revenue-generating insurance plans while managing 70+ vendor renewals and integrating benefits into Pebl’s AI-powered HR platform.
Senior Data Engineer builds and scales Python-based ELT/ETL pipelines, data warehouses, and DataOps practices for high-growth client products using tools like dbt, Airflow, and Snowflake.
Build and maintain scalable data pipelines on AWS using PySpark, Snowflake, and Apache Iceberg to power analytics and business decisions in KKR’s insurance systems.
Build and maintain scalable data pipelines on AWS for KKR’s insurance systems using Apache Iceberg, Spark, and Snowflake to power analytics and business decisions.
Build and maintain secure, scalable ETL pipelines for large banking clients, ensuring reliable data delivery for business use cases using tools like Spark, Kafka, and cloud platforms.
Builds and maintains scalable backend data pipelines (ELK/Kafka) for a DoD modernization project, focusing on real-time analytics, API development, and cloud-native infrastructure (AWS/OpenShift) to improve operational visibility and decision-making.
Build and optimize cloud-based data pipelines and Snowflake data warehouses, designing scalable ETL/ELT workflows and ensuring high-quality data delivery for enterprise clients.
Modern Data Platform Architect/ Technical Team Lead (m/f/d) Location: DEU - HH - HAMBURG Time Type: Full time Job Description Job Description: We are looking for an experienced Modern Data Platform Architect /…
Build and maintain ELT data pipelines for game and product data using dbt, Google BigQuery, Python, and SQL in a remote startup role.
Build and maintain Power BI dashboards and SQL queries to analyze KIPP Texas’s academic, financial, and operational data, migrating from Tableau to Power BI.
Senior data engineer builds and maintains scalable ETL/ELT pipelines, data lakes, and cloud platforms to process structured/unstructured data for mission-driven projects like fraud detection and healthcare.
Build and maintain scalable data pipelines and ETL workflows to organize disparate data for analytics and mission-driven projects using Python, Java, or C++.
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