The Data Engineer will build scalable data pipelines, develop data warehouse solutions, and define data access standards while managing data integrity and access patterns.
Sumble is building a knowledge graph from web data with a first focus on data for go-to-market teams. We use sources like job posts and resume data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.
Our long-term vision is to become the primary destination for accessing high-quality web data. Try the product at sumble.com.
Our Team
We are a team of 15, including 10 engineers with experience at companies such as Google, Meta, Stack Overflow, and Kaggle.
What we are looking for:
- Building mission-critical, flexible and scalable data pipelines to move and analyze data at scale, with a focus on reliability, data consistency, and data recovery
- Exploring and defining standards for data access and analytics patterns
- Developing data warehouse and data lake solutions that evolve with the size and scale of the company
- Proficiency in SQL, orchestrators, data modeling
Our Tech Stack:
- Languages & Frameworks: Python, FastAPI, React, Typescript
- Cloud Platform: Google Cloud Platform (GCP)
- Databases: PostgreSQL, AlloyDB
- ML/Data: PyTorch, Huggingface, vLLM, Skypilot, Marimo, Prefect
- Infrastructure: Cloud Run
- Design: Figma, Vercel V0
Challenges We Tackle:
- Transforming noisy datasets into high-quality data products
- Running expensive analytics computations efficiently
- Managing the complexity of a growing number of data sources, machine learning models, and large data operations
- Creating a user experience that allows both powerful high-level aggregations AND allows users to also see the granular underlying source data
Requirements
- Located within Americas timezones
Benefits
- Medical, dental, and vision (US)
- 401k (US)
- Target 4 weeks PTO
Top Skills
Alloydb
Cloud Run
Fastapi
Figma
Google Cloud Platform
Huggingface
Marimo
Postgres
Prefect
Python
PyTorch
React
Skypilot
Typescript
Vercel V0
Vllm
Similar Jobs
Healthtech • Other • Social Impact • Software • Telehealth
As a Staff AI Data Engineer, you will build and maintain data pipelines for ML/AI tools, ensuring high-quality datasets and collaborating with data scientists to enhance mental health care.
Top Skills:
AirflowAws EmrAws GlueAws IamAws RedshiftAws S3Aws SagemakerAzure Synapse AnalyticsCloudFormationDagsterDbtDelta LakeGcp BigqueryGcp DataflowIcebergPythonRaySparkSQLTerraform
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
As a Data Engineer II at Fandango, you will design, build, and maintain data pipelines, collaborate with teams, and troubleshoot data issues.
Top Skills:
Apache AirflowAthenaAWSDynamoDBEmrGlueJavaPysparkPythonRedshiftScalaSQL
_0.png)
Edtech • Information Technology • Software
This role involves building and maintaining data pipelines, automating processes, and collaborating with teams to improve data quality and infrastructure.
Top Skills:
AirflowAppflowAWSDbt CoreEc2FivetranGithub ActionsGlueIamLambdaPythonRdsS3SnowflakeTerraform
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
