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Designs, builds, and maintains scalable data pipelines, lakehouse architectures, and transformations using Apache Spark, PySpark, and cloud data services to enable enterprise analytics.
Builds secure, automated pipelines for threat detection and response using Python and DevOps tools to protect Verizon’s global network and infrastructure.
Build and maintain high-throughput ETL/ELT pipelines, optimize data workflows, and ensure clean, reliable data products using Python, PySpark, SQL, and modern lakehouse tools.
The Software Engineer will develop and maintain geospatial technology for electric utilities, focusing on data pipelines and system evolution. The role involves working in a hybrid environment using Python, C#, and various data engineering tools.
The Senior Data Scientist will build and deploy commercial machine learning models, such as churn prediction and propensity modeling, to drive revenue and customer retention. The role involves end-to-end model lifecycle management using Python, SQL, and AWS within a hybrid work environment.
Designs, builds, and maintains scalable data pipelines, lakehouse architectures, and transformations using PySpark, SQL, and cloud/data tools to power enterprise analytics.
Job Description: ROLE SUMMARY Greenix Pest Control is seeking a Data Warehouse Engineer to own the raw, bronze, and silver layers of our data platform with some duties in gold layer fact and dim modeling, as part of…
Lead Data Engineer responsible for building and evolving the data stack from pipelines to platform, creating infrastructure for product intelligence, financial reporting, and self-serve analytics using technologies like Snowflake, DBT, Airflow, and AWS.
Builds and maintains ETL/ELT pipelines and a cloud data warehouse (e.g., Snowflake/BigQuery) from scratch, ensuring data accuracy, scalability, and usability while collaborating with cross-functional teams.
As a Data Engineer at Xyntrel, you design and build scalable data pipelines and architectures, working with data scientists and business stakeholders to create data-driven solutions.
Builds and maintains scalable data pipelines and AI workflow frameworks for an insurance-focused AI platform, collaborating with ML and product teams to support underwriting and decisioning systems.
Build and own Fleet Manager, a Python-based platform that automates provisioning, testing, and remediation of GPU nodes and network switches at scale for Nscale’s AI GPU cloud.
Data Engineer focused on SAP BW/BW4HANA Data Warehouse and BI projects within a large IT consulting firm, working with clients to implement and maintain data solutions using SAP ecosystem tools.
Lead Data/Analytics Engineer responsible for designing event instrumentation pipelines, building data models, and driving product experiments in a veterinary telemedicine startup. Core tech stack: Snowflake, dbt, Amplitude, Segment, Prefect, and Sigma.
The Data Engineer will design, build, and optimize scalable ELT pipelines and data models using Snowflake, dbt, and Python. The role involves applying software engineering best practices to data development while collaborating with stakeholders to deliver impactful data products.
Build and maintain cloud data platforms on GCP, designing scalable pipelines with dbt, Airbyte, and Prefect while using AI-assisted tools to deliver reliable analytics and reporting for a global connectivity company.
Senior Data Engineer leads the evolution of data infrastructure, building scalable pipelines and platforms for product intelligence, financial reporting, and self-serve analytics in healthcare tech. Focuses on enabling data-driven decisions for clinicians and internal teams using cloud-based tools and cross-functional collaboration.
Builds and maintains scalable data models, pipelines, and semantic layers to bridge data engineering and analytics, ensuring reliable insights during a platform migration.
Staff Product Analyst at Grafana Labs defines KPIs, measures AI-powered observability features, and guides experiments to shape product decisions for Grafana Cloud's AI tools.
Staff AI Product Analyst at Grafana Labs defines KPIs, measures AI-powered observability features, and guides experiments to shape product decisions for Grafana Assistant and Investigations.
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