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Solutions Architect Data/AI (Pre-Sales)
Pre-sales Principal Solutions Architect for Data & AI (hired via LaunchCode for a partner consulting firm) helping enterprise clients modernize on Microsoft Azure. Day to day: lead technical discovery, design Azure data/analytics/ML and generative AI solutions, write proposals, run demos and PoCs, and partner with sales to win large enterprise engagements.
IC3 - Data Engineer
Designs, builds, and maintains scalable data pipelines, ETL processes, and cloud data architectures (lakes, warehouses, streaming) for Spin, while mentoring junior engineers. Core stack is Python, SQL/NoSQL, Spark, Kafka, and AWS/GCP; requires 3-4 years of data engineering experience.
Data Architect
On-site Data Architect role at Clapham Junction, South West London, designing scalable, secure data architectures, data platforms/lakes/lakehouses, and ETL/ELT solutions, and building data roadmaps aligned to business and regulatory needs. Prior experience in financial services or a regulated industry is preferred.
Security Architect, Applied Field Engineering
Senior security architect on Snowflake's Applied Field Engineering team, driving customer-facing engagements on secure architecture across identity, data, and infrastructure in the Snowflake AI Data Cloud — including secure GenAI/Agentic AI adoption with Cortex, SIEM/log analytics, IAM/RBAC, and compliance. Core tech: SQL, Python, OAuth, Kubernetes, observability.
AI DevOps Engineer-Dallas or Mokena-GC or US Citizen required
The AI DevOps Engineer will design, build, and maintain the cloud and hybrid infrastructure required to support enterprise AI agents and model workloads. This role focuses on implementing MLOps, CI/CD pipelines, and secure integrations across Atkore's manufacturing and business platforms.
Analista de Dados | Curitiba - PR
On-site Data Analyst at Planning in Curitiba/PR (PJ contract): builds and maintains the company's Data Lake, integrates data from multiple sources, creates ETL/ELT pipelines, and develops reports and dashboards to support business areas. Core stack: SQL, Power BI, Python, and cloud platforms (Azure, AWS or GCP).
Machine Learning Engineer
Machine Learning Engineer on Viking's Data Platforms & Solutions team in Los Angeles, designing, deploying, and operating production ML systems for demand forecasting, pricing, inventory, and recommendations. Core stack is Python, SQL, Spark, Databricks, and MLflow with a strong MLOps focus.
Software Engineer, Data Engineering
Software Engineer on DoorDash India's Data Engineering team in Hyderabad, building and scaling the data infrastructure behind reporting, analytics and decision-making. Day to day: designing large-scale data models and ETL pipelines for the Data Lake/Warehouse using Python/Kotlin/Scala, Airflow, Spark, Presto and streaming tech like Kafka and Flink.
Data Engineer
Data Engineer at DoorDash's São Paulo engineering hub, building and scaling large-volume data pipelines, models, and warehouse architectures that power reporting, analytics, marketing, and financial decision-making. Core stack includes Python/Java, Airflow, Spark, Kafka, Snowflake/Redshift, and AWS/GCP; interviews are conducted in English.
Software Engineer, Data Platform
Software engineer on DoorDash's Core Data Platform team, building and scaling data ingestion, compute, and governance infrastructure (Spark, Flink, Kafka, Airflow, lakehouse tech) that powers analytics and real-time personalization. Must be based in or willing to relocate to the Bay Area, Seattle, or NYC.
Analytics Engineer
Analytics Engineer at DoorDash in São Paulo who designs and maintains data models, ETL/ELT pipelines, and self-service dashboards (Tableau/Sigma, Snowflake) to power reporting and KPI measurement across the company.
Senior Software Engineer, Data Engineering
Senior Data Engineer at DoorDash building and scaling large-scale data pipelines, data models, and Data Lake/Warehouse architecture that power reporting, product analytics, marketing, and financial reporting. Core stack: Python/Java, Airflow, Spark, Kafka/Flink, Snowflake/Redshift on AWS/GCP. Hybrid role requiring presence in SF, Sunnyvale, or Seattle.
Senior Analytics Engineer
Build and scale DoorDash's analytics layer: design data models and ETL/ELT pipelines, define business KPIs, and deliver reliable self-service reporting/dashboards using tools like Sigma, ThoughtSpot, and Looker on Snowflake. Core stack is SQL, Python/Scala, and modern data warehousing.
Data Solution Architect
Designs and leads enterprise data platforms, data lakes/warehouses and AI-powered analytics (including Agentic BI) at CityFibre, the UK's largest independent full fibre network. Core stack: Snowflake (Cortex, Snowpark), AWS (Bedrock, SageMaker), Python, Spark, LLM/RAG and vector search. Hybrid role, office at least two days a week.
Principal Data Engineer
Principal Data Engineer at Careington International (onsite in Frisco, TX) designs, builds, and optimizes scalable data pipelines and the company's Azure-based data platform, including a medallion-architecture (Bronze/Silver/Gold) data lake for eligibility, claims, and provider network data feeding analytics and AI/ML. Core stack: SSIS, Azure Data Factory, Python, SQL Server.
Senior Software Engineer, Spark Platform
Senior engineer setting the multi-year technical direction for DoorDash's in-house Apache Spark platform on Kubernetes — owning the runtime, remote shuffle service, scheduler, and reliability for data, analytics, and ML workloads at large scale. Also mentors the team, partners on hiring/roadmap, and leads cross-team architecture decisions.
Software Engineer, Data Engineering
DoorDash is hiring a Data Engineering Software Engineer to build and scale large-volume data pipelines, models, and warehouse/lake infrastructure that power reporting, analytics, marketing, and financial decision-making. The stack centers on Python/Java, SQL, Spark, Kafka/Flink, Airflow, Snowflake/Redshift/PostgreSQL on AWS/GCP, with proficiency in AI coding tools expected.
Data Architect
Designs scalable, secure data architectures and builds data platforms, data lakes/lakehouses and ETL/ELT solutions for a financial-services (regulated) organisation in London, translating business and regulatory requirements into technical roadmaps.