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Builds and maintains scalable data pipelines for ingestion, transformation, and orchestration using Spark, Kafka, Airflow, and Informatica, deploying via CI/CD on containerized infrastructure.
Design and maintain scalable AWS data pipelines using PySpark and Python, building ETL/ELT workflows with Glue and Step Functions.
Build and operate high-reliability data pipelines that ingest cardiac device data into a MedTech platform, using Python/TypeScript on AWS with Temporal and Kubernetes.
Designs and implements data architectures on Snowflake and cloud platforms, building ETL/ELT pipelines and collaborating with data teams to deliver digital transformation solutions.
The Data Ops Engineer will work on AI enablement, focusing on data pipelines, modeling, and integrating LLM APIs for Generative AI solutions. The role is 100% remote.
Designs, builds, and maintains scalable data pipelines and automation solutions with a focus on AI, integrating ERP, databases, and APIs to transform and analyze company data.
Builds and maintains large-scale, production data pipelines in AWS using Python, Snowflake/Databricks, and ETL/ELT to support a leading insurance company’s data infrastructure.
Senior Data Engineer builds and maintains large-scale AWS data pipelines for an insurance client using Python, Snowflake/Databricks, and ETL/ELT workflows.
Lead Data/Analytics Engineer owning event instrumentation pipelines (Segment, Amplitude), building data models and metrics layers (Snowflake, dbt, Prefect), and partnering with product managers on experiment design and analysis at a veterinary telemedicine company.
The Senior GCP Data Engineer will design and optimize large-scale data platforms and cloud-native solutions using PySpark, Python, BigQuery, and Kafka. The role focuses on building scalable ETL/ELT pipelines and real-time data processing frameworks within an enterprise environment.
Design and build scalable GCP data pipelines using PySpark, BigQuery, Kafka, and Airflow to process batch and real-time data for analytics and BI.
The Data Engineer will design and maintain scalable ETL/ELT pipelines and data models to support cloud cost visibility and performance insights. The role involves using SQL, Python, and cloud-native tools like AWS and Snowflake to build actionable data systems for cross-functional teams.
Senior Data Engineer building enterprise-scale data platforms using Python, Snowflake, and SQL, focusing on ETL/ELT pipelines, data modeling, performance tuning, and governance.
Designs cloud-native data architectures on Azure to enable analytics and ML, focusing on scalable data lakes and ETL/ELT pipelines with a focus on continuous improvement (Kaizen).
Designs and builds Azure-based data pipelines to ingest, clean, and load data for analytics and ML, collaborating with data scientists and architects.
Lead a small data engineering team to design, build, and scale WeRoad’s cloud-based data platform (BigQuery, dbt, Airflow) for travel experiences, focusing on real-time pipelines, self-service BI, and AI-driven insights across global markets.
The Data Architect designs and builds large-scale batch and real-time data pipelines on the Google Cloud Platform. The role involves managing data processing systems, ensuring security and scalability, and collaborating with business partners to drive data-driven insights.
Designs and implements cloud-native data pipelines, bridges data science and engineering, and optimizes data lakes for analytics/ML using Azure tools like Databricks and Synapse.
Designs and maintains corporate data platforms to enable customer insights using SQL and Python for high-quality, precise projects within deadlines.
Leads a data engineering team to design, build, and maintain scalable data pipelines (batch/real-time) and platforms (Data Lake, DWH) for gambling operations, ensuring data quality, security, and alignment with business goals.
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