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Become the subject-matter expert for Block's online data projections and event-streaming capabilities — designing the platform, frameworks, and standards others build on
Independently challenge model owners across lending, fraud, and AML: reproduce their results, set and defend the acceptance thresholds, and own the call on whether a model is sound.
Hiring from CanadaCompany-site apply Recently added
You will be part of a small, ambitious team with a large amount of ownership and surface area, contributing directly to the AI-for-Data charter at Instacart.
Help to evolve the enterprise people analytics agenda across key domains (e.g., organizational health, performance, hiring), including cross functional partnerships to align metrics to Instacart’s priorities and providing insights
Help to evolve the enterprise people analytics agenda across key domains (e.g., organizational health, performance, hiring), including cross functional partnerships to align metrics to Instacart’s priorities and providing insights
Own data modeling, integration design, and governance across every engagement; serve as the senior technical authority from pre-sales through delivery.
Own data modeling, integration design, and governance across every engagement; serve as the senior technical authority from pre-sales through delivery.
Hiring from CanadaCompany-site apply Recently added
You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly
You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
Own the technical relationship with Partner SEs, Partner PMs, Partner alliance leadership, and Partner Sales at Snowflake, Databricks, BigQuery, The Trade Desk, and key SIs.
Databricks · Field Engineering - FE Direct Regulated
Eligibility checked Fresh this week
Hiring from USACompany-site apply Recently added
Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.
Databricks · Field Engineering - FE Direct Emerging
Eligibility checked Fresh this week
Hiring from USACompany-site apply Recently added
Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.
Define and own the vision, strategy, and roadmap for data products (e.g., dashboards, data platforms, model features and enhancements, etc) that support data-driven insights, decisioning, and actions.
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Hiring from CanadaCompany-site apply Recently added
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly
Designs, builds, and maintains resilient ETL/ELT pipelines that ingest data from on‑premise systems, AWS services (S3, RDS), and Azure platforms (Blob Storage, Azure SQL)
7–10 years of experience in Data Engineering Strong SQL and programming skills (Python/Scala/Java) Experience with big data tools and cloud data platforms Knowledge of data modeling and schema design Originally posted on Himalayas
Design, implement, and optimize robust, scalable data pipelines using GCP services such as BigQuery, Cloud Dataflow, Cloud Dataproc, and Cloud Composer(or airflow).
Architect, build, and maintain our data model, data pipelines, and data access layer that support our care delivery, operations, and analytics in collaboration with the data platform team.
Design, build and deploy production-grade machine learning and AI systems that power customer-facing analytics, automation, and intelligent product experience.
Design, build, and maintain automated data pipelines that move data from source systems (Salesforce, Xero, Ramp, product databases) into our central data lake and warehouses
Develop, communicate, and execute the long-term strategic objectives for Workiva’s multi-tenant data platform sub-function, ensuring alignment with enterprise-wide objectives
Collaborate with cross-functional partners (Product Managers, Data Scientists, Data Engineers, Software Engineers, Business teams) to build data and Machine Learning products
Serve as the operational backbone of Kobie's data platform, ensuring the ETL/ELT pipelines, dimensional models, and Snowflake environments that power client reporting and dashboards run reliably, at scale, every day.
Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.
Architect the Data Platform – Own the end-to-end design of our data infrastructure. Make the foundational calls on pipeline architecture, data modeling patterns, and platform evolution across Snowflake, dbt, Airflow
Product-Driven Engineering: Design, build, and maintain high-performing rails and javascript applications that power core application features and support our mobile applications
Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines using technologies such as Apache Airflow or Benthos.
Pipeline Development: Design, build, and maintain data pipelines that ingest, transform, and deliver healthcare data (payer files, claims, attribution, eligibility) through staging, transformation, and mart layers.
Design, build, and operate end-to-end data pipelines (batch and near-real-time) that ingest, transform, and deliver data from diverse sources into the enterprise data platform.
Building and maintaining production-grade data pipelines in cloud data warehouses such as Google BigQuery or equivalent, following architectural standards set by the Director of Data and AI.
Define and own the strategic architecture of Foodsmart's data platform, setting the technical direction for scalable, reliable, and governed data infrastructure.
Develop, train, and evaluate ML models (classification, regression, clustering, anomaly detection) and contribute to LLM-based capabilities such as RAG pipelines and prompt evaluation.
Stand up and operate BetMGM's ML platform on AWS (SageMaker Training, Model Registry, Pipelines, Endpoints, Batch Transform) and Snowflake (Snowpark ML, Cortex), with Terraform-managed infrastructure.
Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.
Build and operate data pipelines that move event streams, document metadata, and usage data into our cloud data warehouse (ClickHouse Cloud, Snowflake, Azure)
Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.
Take ownership of undefined problems — dig in, scope the work, and ship solutions, whether that's a pipeline, a dashboard, a tracking implementation, or something we haven't thought of yet
Build, maintain and improve the enterprise data warehouse. Monitor & improve performance, implement patches and upgrades, minimize database downtime and manage parameters to provide fast query responses.
, and designing scalable data lake and data warehouse solutions. Experience across multiple data platforms (Databricks, Snowflake, Azure Data Factory, Synapse, etc.) is a strong advantage. Key Responsibilities 1.
Design, build, and own scalable data pipelines that ingest external and internal data into Snowflake, including automation of file-based ingestion processes.
Design, build, and continuously refine scalable batch and real-time data pipelines using Python, SQL, Spark, Scala, or equivalent technologies, ensuring reliable, efficient
Own the design, architecture, and implementation of complex data engineering initiatives on the team — including advanced pipeline development, data platform architecture
Work in an Azure data warehouse environment, which includes developing database designs and architecture, data modeling and metadata repository creation
Manufacturing 8–10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.
Evolve and streamline Wurl’s data ETL processes, Business Intelligence dashboards (internal and external) enhancement, data workflows (with emphasis on scale, security, maintainability, and validation), data warehousing processes
Senior
AWS
CI/CD
Python
+2
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