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Data Platform Engineer
Design and build scalable data platforms and AI systems for enterprises, using AWS/Azure services, Python, and modern data architectures like data mesh/fabric.
Data Platform Engineer
Build and maintain Kafka-based data pipelines and infrastructure for Verifone’s global payment systems, ensuring high availability and performance for billions of annual transactions.
Mid-Level Data Engineer (Python/ AWS)
Build and maintain cloud-based data pipelines and APIs in Python and AWS, enabling reliable data access and integration for teams.
Data Engineer (Azure | Databricks | MS Stack)
Designs and builds scalable data pipelines on Azure and Databricks, using the Microsoft stack to deliver analytics solutions for clients.
Lead Data Engineer: Databricks, Python & AWS
Lead a data engineering team building scalable pipelines on Databricks and AWS using Python, ensuring robust data workflows for clients.
Lead Data Engineer / Data Tech Lead
Lead a team to design and deliver scalable data platforms, pipelines, and warehouses using cloud tools like AWS/Azure/GCP, while mentoring engineers and shaping best practices for reliable, secure data solutions.
Senior Python Backend Engineer: AI-Driven Real-Time Insights
Build scalable Python/FastAPI backend services and AI-driven data pipelines that power real-time investment insights using columnar databases like ClickHouse or Snowflake.
Analytics Engineer I: Build Scalable Data Pipelines
Build and maintain scalable data pipelines for a fintech company, ensuring data accuracy and compliance while collaborating with finance teams using SQL and cloud data warehouses.
Data Manager
Lead a team of 7–8 data professionals to build and maintain scalable data models and transformation workflows using dbt and cloud data warehouses like Snowflake.
Senior Data Analytics Manager
Lead BI infrastructure, build scalable data models, and deliver insights using Airbyte, dbt, Snowflake, and Metabase to drive data-first decisions at a fast-growing B2B SaaS compliance platform.
Cleared Hybrid Data Engineer (5418)
Designs and maintains scalable data pipelines and cloud-based data warehouses to power AI, analytics, and reporting for a defense-focused IT contractor.
*reputed company Full Stack Data Engineer – Web & reputed company Application Development at ar[...]
Build and maintain data warehouses, ETL pipelines, and data models for a media company using SQL, Python, Java, Hadoop, and cloud databases.
AWS Data Platform Engineer - Japanese Bilingual
Builds and maintains AWS-based data pipelines and warehouses using EMR, Glue, Kinesis, RedShift, and DynamoDB, plus open-source tools like Airflow and dbt.
Data Platform Engineer (AU Construction, Hybrid)
Own and evolve the Microsoft Fabric platform, enforcing medallion architecture, security, and cost controls while partnering with analysts and engineers to deliver reliable data products.
AWS Glue Data Engineer
Designs and maintains AWS Glue-based ETL pipelines using Python and PySpark to integrate and process data across AWS services like S3, Redshift, and Lambda.
Data Engineer II
Designs and builds production-grade data pipelines and dimensional models in Snowflake/Redshift, enforcing data quality and mentoring junior engineers.
Analytics & Insights Manager
Locala is the world’s leading commerce media platform, leveraging consumer insights and location data to increase brand awareness, drive consumers to store, and deliver smarter business outcomes. Our proprietary…
Senior Manager, Commercial Reporting Strategy
Collegium Pharmaceutical is building a leading, diversified biopharmaceutical company committed to improving the lives of people living with serious medical conditions. We have a leading portfolio of responsible pain…
DATA ENGINEERING
Build and maintain scalable, secure data pipelines and cloud infrastructure (AWS, Snowflake) to feed analytics and ML models, ensuring data quality and governance.
Sr Data Engineer
Build and maintain Asevia’s data platform, integrating AI agents and RAG pipelines with Python, Dagster, and TypeScript to turn raw data into internal tools and customer-facing products.