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Senior AI/Data Engineer (Snowflake, GenAI)
Build and operate Snowflake-based data platforms that power GenAI and advanced AI use cases at enterprise scale, integrating vector search, RAG, and agent workflows.
Senior Data Engineer On-Premises Data Platforms @ Jacobs
Design, build, and maintain enterprise-scale data pipelines in on-premises and hybrid environments, integrating data from databases, legacy systems, and APIs using SQL, Python, Spark, and ETL/ELT tools.
Data Engineer @ Mindbox Sp. z o.o.
Design and maintain scalable data pipelines and infrastructure, ensuring data integrity and enabling analytics across cloud platforms like AWS, GCP, or Azure.
Data Engineer with Databricks (Aviation Industry)
Build and maintain big-data pipelines for European air-traffic systems using Databricks, Spark, Kafka, and Oracle; ensure data quality and industrialize production environments.
Senior Data Engineer - Full remote - Contractor
Senior Data Engineer builds and maintains a cloud-based data platform using Azure, Databricks, and Synapse Analytics to ingest, transform, and deliver data for reporting and APIs.
Snowflake Data Engineer for Cloud & AI
Senior data engineer builds and maintains Snowflake pipelines, migrates on-prem data to the cloud, and optimizes models for performance and cost.
Remote Mid-Level Data Engineer: Azure/GCP, ETL Pipelines
Designs and builds cloud-based ETL pipelines and data infrastructure on Azure/GCP, working on migrations and modernizations for global clients.
Senior Snowflake Data Engineer—Transformation & Governance
Designs and maintains Snowflake transformation layers for risk model datasets using SQL, Snowpark, and Airflow, ensuring governance and scalable data pipelines.
Akamai Technologies Senior II Backend / Big Data Engineer
Designs and builds scalable big-data pipelines and microservices on Akamai’s cloud platform, using Java/Scala/Python, Spark/Flink, Kafka, and storage systems like Postgres and Delta Lake.
Senior Data Engineer (Azure | Databricks)
Senior Data Engineer builds and optimizes scalable ETL pipelines on Azure and Databricks, migrating legacy data to cloud Data Lake and ensuring Data Governance.
Senior Data Engineer (Hadoop, Spark)
Build and maintain scalable data pipelines using PySpark, Hadoop, and Airflow in a DevOps environment, collaborating with analysts and engineers to deliver high-performance solutions.
Data Engineer III @ Box Inc.
Build and maintain scalable data pipelines on GCP to power analytics and AI features for Box’s content-management platform, using BigQuery, Spark, and Python.
Data Engineer: Spark, Scala & Data Lakes (Hybrid)
Designs and maintains scalable data pipelines using Apache Spark and Scala for a global consulting firm, focusing on ETL workflows and big-data infrastructure.
Data Engineer Technical Leader (Relocation to Poland)
Lead a team to design and build scalable data pipelines and platforms using Spark/Scala, Airflow, and cloud tools, while mentoring engineers and ensuring regulatory compliance.
Big Data Engineer (junior/mid)
Build and optimize data pipelines using Spark, Hadoop, and Scala to detect fraud and financial crime for a global bank.
AWS Data Engineer - Talent Pool
Designs and maintains scalable AWS data pipelines using S3, Glue, Lambda, Redshift, and EMR to integrate and deliver data for analytics and reporting.
Senior Data Engineer (Hadoop, Spark)
Build and maintain scalable data pipelines using PySpark, Hadoop, and Airflow in a hybrid Agile environment, collaborating with analysts and engineers to deliver high-performance ETL solutions.
Senior Data Engineer: Big Data & Cloud Analytics
Builds and optimizes big-data pipelines using Spark, Azure, and Databricks to deliver analytics and dashboards in Power BI for a global product team.
Big Data Engineer (junior/mid)
Build and maintain big-data pipelines (Spark, Hadoop, Elasticsearch) to detect fraud and financial crime for a global bank, using Scala and Java/C#.
AI Data Engineer (Snowflake + AI)
Build AI-powered data workflows in Snowflake for a bank: integrate LLMs via Cortex, design RAG pipelines, and ship Streamlit features that help engineers and business users query and analyze financial data.