Peterson Holding: Sells Caterpillar equipment and construction technology solutions.
3+ YOEBachelor's in a related field or equivalent, 3+ years data engineering or analytics experience, strong SQL, cloud data platform experience (Snowflake, Microsoft Fabric), Python, Microsoft Power BI, SSIS/Azure Data Factory, and experience building ETL/ELT pipelines and analytics-ready datasets.
Snowflake, Microsoft Fabric, SQL Server Integration Services (SSIS), Microsoft Azure Data Factory, SQL, Python, Microsoft Power BI, Microsoft Dynamics, Spark, PySpark, Microsoft 365
United States or Canada or San Francisco or Toronto
$190k-$220k/yrRemoteFull Time
Owner: AI-powered business management platform for independent restaurants.
5+ YOERequires 5+ years in data or analytics engineering, strong SQL and Python, production Snowflake, dbt and modern orchestration experience, plus reliable systems design and cross-functional communication.
Armanino: Provides accounting, tax, and consulting services to diverse organizations.
6+ YOERequires 6+ years in data, platform, analytics engineering, or cloud operations; 2+ years accounting experience; production cloud platform expertise; BI, CI/CD, Python or PowerShell, SQL, troubleshooting, and cloud fundamentals.
Microsoft Fabric, Snowflake, Databricks, Power BI, Tableau, Git, Python, PowerShell, SQL, Key Vault, Azure OpenAI
StackAI: Build and deploy custom AI agents without writing code.
4+ YOE4+ years building backend services and public APIs; strong REST/OpenAPI skills, observability and distributed tracing, Python and FastAPI, familiarity with TypeScript/Node.js, and analytics-driven metrics and reporting.
United States or North America or San Francisco or Los Angeles or New York City or Washington, D.C. or London or Singapore
RemoteFull Time
TRM Labs: An AI-powered intelligence technology helping organizations investigate crime and disrupt illicit activity.
U.S. citizenship, distributed OLAP or serving-layer operations experience, query tuning, reliable data pipelines, incident response, AI tool proficiency, and on-call ownership are required.
Bellevue or Chicago or Carpinteria or Detroit or New York City or Omaha or Sunnyvale or San Francisco or Washington
$148k-$243k/yrHybridFull Time
LinkedInNASDAQ: MSFT: Professional social network for career development and job recruitment.
12+ YOEBachelor's degree or equivalent practical experience and 12+ years in data or analytics architecture, engineering, or platforms. Requires enterprise data ecosystem, modeling, governance, cloud platform, and stakeholder experience.
Zipline: Operates an autonomous drone delivery system for medical supplies.
5+ YOE5+ years data or software engineering experience with Python or Rust, strong distributed/data-systems background, cloud and orchestration experience, data warehouse and lakehouse knowledge, and production reliability practices.
Ironsite: AI-powered wearable cameras for construction safety and productivity.
5+ YOE5+ years building production mobile experiences; strong React/TypeScript, Node.js, PostgreSQL, and Redis skills; API, integrations, analytics, AWS, and scalable web application experience required.
Senior Staff Data Engineer - Platform Data and Analytics
Kitchener or Toronto or San Francisco or London or New York City
$228k-$314k/yrHybridFull Time
Faire: Online wholesale marketplace connecting independent retailers with unique brands.
Experienced technical leader in data systems with strong SQL and Python, Snowflake/Airflow/Spark experience, data pipeline and warehousing expertise at scale, architecture and governance experience, and leadership/mentorship skills.
CrewAI: Platform for orchestrating collaborative multi-agent AI systems.
Experienced data engineer to own data platform, build pipelines, define trusted metrics, improve instrumentation, and make data self-serve for product and go-to-market teams.
Fanatics: Global digital sports platform for licensed merchandise and betting.
5+ YOE5+ years building personalized content and real-time journeys on marketing platforms (Adobe Experience Platform preferred). Strong HTML/CSS/Handlebars skills, analytics/troubleshooting, stakeholder communication, agile/Jira experience; API and CI/CD experience preferred.
OpenAI: Develops artificial intelligence models and generative AI software services.
Deep production data platform experience; proficiency in large-scale pipeline architecture and Python, Java, or Scala; strong data modeling, architecture, distributed systems, software engineering, quality, observability, and cross-functional delivery skills.
Mill: Provides smart kitchen bins that recycle food waste.
3+ YOE3–5 years operating production data engineering systems; Python, SQL, cloud data warehouses, production pipelines, Infrastructure as Code, CI/CD, and transactional database experience required.
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
8+ YOE8+ years in software or data engineering; strong Python/SQL; experience building data infrastructure, ingestion, storage, orchestration; cloud (AWS, Kubernetes); relational/NoSQL databases; cross-functional collaboration.
Senior Software Engineer; Analytics Compute Platform team
San Francisco, California, United States
$167k-$230k/yrOnsiteFull Time
AmplitudeNASDAQ: AMPL: Digital analytics platform for understanding and optimizing customer behavior.
Proven backend/distributed-systems experience with SQL and query engines, ownership of cross-team projects, and strong collaboration and critical-thinking skills.
Sentry: Developer platform for error tracking and performance monitoring.
4+ YOE4+ years backend/infrastructure experience; strong knowledge of distributed data storage; proficiency in Python; experience with PostgreSQL, ClickHouse, Redis, Memcached, Kafka or RabbitMQ; strong communication skills; located in or willing to relocate to the San Francisco Bay Area.
Halluminate: Building reinforcement learning environments for training AI agents.
Experience building data acquisition, licensing, or operations functions; strong engineering skills; ability to build pipelines and tooling; product judgment; startup adaptability; and client-facing communication skills.