Data Engineer VC Backed Startups
San Francisco, CA - USA
Job Summary
This is not an application for a specific job. Instead this is a way to get on the radar of VC-backed startups that are actively hiring Data Engineering talent. If you have any questions please direct inquiries to .
At SignalFire we partner with top early-stage startups that are shaping the future of technology. Our portfolio spans 200 innovative companies across AI cybersecurity healthtech fintech developer tools and enterprise SaaS.
Were looking to connect with exceptional Data Engineers who are excited about building scalable data infrastructure developing reliable pipelines and enabling teams to make better decisions with trusted data.
By joining SignalFires Talent Network your profile will be shared with our portfolio companies giving you visibility into exclusive early-stage opportunities that may not be publicly listed.
Were looking for engineers who are:
Passionate about building reliable scalable data systems and infrastructure
Experienced in transforming complex datasets into trusted accessible data products
Excited to establish data foundations in fast-moving startup environments
Comfortable partnering with engineering product analytics and machine learning teams
Interested in improving how data is collected modeled governed and used across an organization
Design build and maintain scalable batch and real-time data pipelines
Develop reliable data models transformation workflows and shared datasets for analytics and operational use cases
Build and manage cloud-based data warehouses lakehouses and data platforms
Integrate data from product customer financial and third-party systems
Establish standards for data quality testing lineage observability and documentation
Partner with analytics product engineering and business teams to understand data requirements
Support machine learning and AI applications by developing dependable training feature and inference data pipelines
Improve the performance scalability and cost efficiency of data infrastructure
Build self-service tools and frameworks that make data easier to discover and use
Implement appropriate access controls privacy safeguards and data-governance practices
Troubleshoot pipeline failures data-quality issues and performance bottlenecks
Help define the companys broader data architecture and technical roadmap
While each startup has its own hiring criteria many Data Engineer roles in our network look for:
3 years of experience in data engineering software engineering analytics engineering or a related technical role
Strong programming skills in Python Java Scala or a similar language
Advanced proficiency in SQL and experience designing scalable data models
Experience building and maintaining production ETL or ELT pipelines
Familiarity with cloud platforms such as AWS GCP or Azure
Experience with modern data warehouses or lakehouse platforms such as Snowflake BigQuery Redshift or Databricks
Knowledge of workflow orchestration transformation and data-quality tooling
Understanding of distributed systems data storage formats and batch or streaming architectures
Ability to collaborate with technical and non-technical stakeholders to translate business needs into data solutions
Strong judgment around reliability scalability governance and infrastructure tradeoffs
Experience in venture-backed startups or rapidly scaling technology companies may be preferred
Languages: Python SQL Java Scala Go
Warehouses & Lakehouses: Snowflake BigQuery Redshift Databricks Delta Lake
Pipelines & Transformation: Airflow Dagster Prefect dbt Fivetran Airbyte
Streaming & Processing: Kafka Spark Flink Kinesis Pub/Sub
Cloud & Infrastructure: AWS GCP Azure Docker Kubernetes Terraform
Data Quality & Observability: Great Expectations Monte Carlo Soda DataHub OpenLineage
Databases & Storage: PostgreSQL MySQL DynamoDB MongoDB S3
Submit your application to join SignalFires Talent Ecosystem.
We review applications on an ongoing basis to identify strong candidates.
If theres a match a SignalFire talent partner or a leader from one of our startups may reach out directly.
No match yet Well keep your profile on file for future Data Engineering roles across our portfolio.
Required Experience:
IC