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Own the identity, access, and deployment layer for dbt’s enterprise platform, shaping SSO, RBAC, and multi-tenant migrations while expanding cloud and regional coverage.
Resident Solutions Architect designs and implements dbt-based data pipelines for enterprise customers, ensuring reliable data transformation and adoption of modern data stack tools.
Senior Full-Stack Engineer on the Cloud Clients team at Fivetran/dbt Labs, building AI-native developer experiences across dbt Studio (browser), the VS Code extension, and the CLI workspace runtime using Python, TypeScript, React, and Kubernetes.
Own the developer workflow for dbt Cloud’s IDE, AI coding assistant, CLI, and VS Code extension, shaping next-gen AI-assisted analytics engineering tools.
Customer Solutions Architect drives post-sales adoption and expansion for Fivetran’s data-movement platform, advising enterprise customers on architecture and scaling their data pipelines.
Build internal tools and data pipelines that give R&D leaders real-time insights into engineering efficiency and product development, using TypeScript, Python, React, and BigQuery on GCP.
Senior Data Engineer at Hinge (the dating app) builds and maintains big-data ETL pipelines, the analytics data warehouse, and data models that power reporting, analytics, and ML for company-wide decision-making. Core stack includes Python, SQL, Airflow, dbt, Kafka, Kubernetes, AWS (S3, Redshift), and GCP (BigQuery, Dataflow).
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st…
Build and maintain data models and pipelines for Anduril’s AI-powered defense systems, using SQLMesh, Palantir Foundry, and Apache Iceberg to create reusable analytics that drive real-time decision-making.
Build and maintain data pipelines and models to transform HR data into clean, analytics-ready datasets for workforce insights and decision-making.
Build and lead Anduril’s data models and analytics infrastructure, turning raw military-operations data into real-time, AI-powered decision tools using Palantir Foundry, SQLMesh, and Apache Iceberg.
Lead Grupo Aspasia's data engineering function from scratch: design the data architecture (ingestion → Snowflake → dbt → Power BI), build and manage the team, and deliver governed, reliable pipelines integrating sources like Salesforce, Moodle, ERP and ad platforms. Needs ~4-7 years in data engineering with some team leadership.
Data Engineer at atmira in Valencia building and maintaining data ingestion and ETL/ELT pipelines on AWS: processing data in Amazon S3, modeling tables and datamarts in Amazon Redshift, writing SQL queries and procedures, and supporting deployments, code reviews and backlog work. Stack includes Python, PySpark/Spark, Talend and Power BI.
Senior Data Engineer builds and owns SQL/Python data pipelines that power Plaid's data lake and warehouse, ensuring data quality and performance for company-wide analytics. The stack includes DBT, Airflow, Redshift, Snowflake, Databricks, Spark, and Kafka, integrating with Golang applications.
Build full-stack web apps and microservices for a genetic-testing platform using React, TypeScript, Python, FastAPI, Snowflake, and AWS; collaborate on scalable APIs and data pipelines.
The Data Engineering Lead (BI Analytics & DWH) designs scalable BI and data warehouse solutions, builds ETL pipelines and data models, and develops interactive Power BI/Tableau dashboards. Core stack includes SQL Server/SSIS, Python, Azure Databricks, and cloud warehouses, while mentoring junior BI developers.
Senior data & integration engineer with 7+ years of experience building scalable data pipelines, ETL/ELT workflows, and API integrations. Day to day, they develop optimized SQL, integrate data from REST/Microsoft Graph APIs, and deliver cloud data solutions on Azure or AWS to support AI, automation, and enterprise data initiatives.
Lead Pine Labs' data engineering function in Noida (office-based, 5 days/week): build and scale real-time pipelines with Kafka/MSK, Debezium and Apache Pinot, run data lakes on S3 with Iceberg, Glue and Athena, and ship Java/Python data tooling on AWS (ECS/EKS, Terraform) while mentoring engineers.
Designs, builds, and maintains large-scale data pipelines, ETL processes, and data warehouse architectures, handling data migration and integration from multiple sources. Core stack is SQL, Python, Hadoop/Spark, and AWS services including Redshift, S3, Glue, EMR, Kinesis, and Lambda.
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