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The Senior Data Engineer will design, build, and maintain scalable data pipelines and infrastructure using Snowflake and Fivetran. The role involves collaborating with cross-functional teams to ensure data reliability, security, and performance for analytics and predictive modeling.
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 large-scale data platform development, build resilient Python-based ETL pipelines using Snowflake, Postgres, Airflow, and dbt, enforce SDLC best practices, and ensure data security/compliance for an airline.
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.
Own and scale the analytics layer for a production finance platform, building ETL pipelines, governed data models, and self-serve tools using SQL, Python, and dbt.
The Principal Data Platform Architect advises enterprises on designing Snowflake’s Cloud Data Platform, bridging technical and business needs. They lead sales cycles, deliver demos, and collaborate with customers to architect scalable data solutions using Snowflake’s tools and multi-cloud technologies.
Data Analyst at CapTech designs data models, builds ETL pipelines, and visualizes insights to help clients solve business problems using SQL, Python/R, and modern BI 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.
Builds and maintains data models/transformations for credit decisions, pricing, portfolio analysis, and investor reporting using Snowflake/dbt, bridging analysts, engineers, and stakeholders to improve data reliability and usability.
Builds cloud-based data platforms and pipelines to enable business insights, designing architectures and integrating data from multiple sources (including streaming) for clients across industries. Uses modern tools like Snowflake, Databricks, and Azure Data Factory to deliver iterative, value-driven solutions.
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.
NexVenture is partnering with an exceptional, best‑in‑class data team to hire an Analytics Engineer - a newly created role for someone who enjoys building clear, dependable data models and shaping best practice across…
Builds and maintains data pipelines using Snowflake, dbt, and Fivetran to enable analytics and reporting with Power BI, ensuring scalable and cost-efficient cloud solutions for data-driven decision-making.
Designs and builds Renesas’ enterprise data platform on Azure Databricks, Unity Catalog, and Delta Lake, shaping data ingestion, modeling, and governance for SAP/manufacturing domains while ensuring scalability, security, and data quality.
Senior engineer builds and optimizes Salesforce-based revenue systems for a SaaS company, integrating tools like HubSpot and Snowflake to create scalable, API-first GTM platforms.
Designs and builds scalable Snowflake data pipelines using SQL, Python, Snowpark, and dbt to modernize ELT/ETL workflows and optimize performance and costs.
Build and maintain dbt/Snowflake finance data pipelines that power accounting reporting and automation, ensuring reliability, performance, and auditability at scale.
Senior Analytics Engineer builds and maintains data models and metrics using SQL, Python, DBT, and GCP to drive business decisions and product improvements at a cloud application platform company.
Build and maintain data models using DBT, SQL, and Python on GCP/AWS to create business metrics and insights, collaborating cross-functionally in a fully remote, global team at a cloud application platform company.
Designs, builds, and maintains a cloud-based M&O platform for logistics data observability, reliability, and automation, using Azure, Kubernetes, CI/CD pipelines, and monitoring tools.
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