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Builds and maintains scalable data pipelines to extract, transform, and integrate data from multiple sources into a cloud data warehouse, ensuring reliability and performance for analytics and decision-making.
The Data Engineer will design and maintain data pipelines, ETL processes, and data architectures to provide insights for engineering teams. The role involves working with SQL, Python, and various cloud-based data storage and visualization tools to support IoT infrastructure development.
The Senior Clinical Data Engineer will build and maintain scalable data pipelines using Databricks, PySpark, and AWS to support clinical research and medical device data initiatives. This role involves collaborating with cross-functional teams to ensure data quality and consistency for statistical analysis and reporting.
The Senior Lead Data Engineer will design and build scalable, low-latency streaming data platforms and pipelines using technologies like Flink, Spark, Kafka, and cloud-based data warehouses. The role involves leading engineering teams in an agile environment to deliver robust data solutions that support financial services.
Data Engineer on the IoT Infrastructure Software team at Silicon Labs in Budapest, analyzing complex datasets and building ETL pipelines, dashboards, and data solutions using SQL, Python, and AWS services.
The Data Engineer will build and maintain ETL/ELT pipelines to ingest high-volume network and customer data into an AWS-based data lake. The role focuses on data modeling, transformation using dbt, and ensuring data quality and reliability for analytics across the organization.
This is a 3-month contract role for a Data Engineer to build data pipelines for decision-making and data science applications. The role requires expertise in Python, SQL, Snowflake, and Azure DataBricks, with a focus on cloud platforms and DataOps practices.
The Senior Fullstack Engineer will lead the design and development of an enterprise SaaS human services system using React, Java, and GraphQL. The role involves building scalable microservices, managing API integrations, and mentoring junior team members in a remote environment.
Cloud AI/ML Engineer at Evernorth (Cigna Group) in Hyderabad, operationalizing ML models into production-ready batch jobs using Python, PySpark, and AWS within an agile team.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
Data Architect managing and optimizing data storage, pipelines, and ETL processes using AWS services (S3, RDS, Redshift, DynamoDB, Glue, Lambda), Databricks with Delta Lake/Spark, and Informatica IDMC for data governance and integration.
Lead/Principal-level Data/AI Architect at BCG Platinion advising clients on modern data architectures, governance frameworks, and AI-ready strategies across cloud platforms (AWS, Azure, GCP, Snowflake, Databricks) with a focus on strategic guidance rather than hands-on implementation.
The Data Architect will lead a data transformation project for a Lloyd's of London insurance client, focusing on modernizing data platforms and governance using PostgreSQL and SQL. This is a 3-6 month contract role based in London.
The Data Architect will lead the evolution of enterprise data platforms and drive transformation initiatives for a leading insurance organization. The role requires expertise in SQL, PostgreSQL, and modern data platforms like Snowflake or Databricks within the London Market insurance sector.
Cloud AI/ML Engineer operationalizing machine learning models into production batch jobs using Python, PySpark, and AWS within an agile team at a large healthcare services organization.
Mid-level Data Engineer building high-volume data processing pipelines using Redshift, Athena, Iceberg, Spark, and Airflow for Ookla's internet performance data platform.
Senior Data Engineer building high-volume data processing pipelines on Redshift, Athena, Iceberg, Spark, and Airflow to support data scientists analyzing global internet performance data.
Designs and governs data architecture for AI-ready datasets, pipelines, and analytics at a leading consumer-finance company, focusing on cloud platforms and financial data domains.
Builds and maintains geospatial data infrastructure to track Amazon’s environmental impact (carbon, water, waste) by designing pipelines, automating ETL/ELT processes, and enabling risk assessments using AWS tools and Python/Scala/Java.
Build and ship data pipelines and platform capabilities for Amazon Ads' reporting data layer, processing 40B records/day on a Lakehouse architecture with Java, Python, TypeScript (AWS CDK), Spark, Iceberg, and AWS services.
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