Data Engineer

SignalFire

Data Engineer joining SignalFire’s talent network for VC-backed startups. Building scalable pipelines, data platforms, and trusted data products across AI, fintech, healthtech, and SaaS companies.

Posted 8/5/2026full-time🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines, data models, and cloud-based data platforms while ensuring data quality and governance. Proficient in collaborating with cross-functional teams to translate business needs into effective data solutions.

Highest-signal resume keywords

Data EngineeringPython ProgrammingSQL ProficiencyAWS ExperienceETL Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData ModelingETL DevelopmentData TransformationData Quality AssuranceMachine Learning SupportCloud Data WarehousingDistributed Systems UnderstandingWorkflow OrchestrationData Governance

Soft Skills

CollaborationProblem-SolvingJudgment

Tools & Technologies

SnowflakeBigQueryRedshiftDatabricksAWSGCPAzure

Industry Keywords

Venture-Backed StartupsData InfrastructureData ObservabilityData LineageData Privacy

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudDistributed SystemsETLGoogle Cloud PlatformJavaPythonScalaSQL

About the role

Key responsibilities & impact

Join SignalFire’s Talent Network for Data Engineer roles at VC-backed startups
Design, build, and maintain scalable batch and real-time data pipelines
Develop reliable data models, transformation workflows, and shared datasets
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 with training, feature, and inference data pipelines
Improve data infrastructure performance, scalability, and cost efficiency
Build self-service tools and frameworks for data discovery and use
Implement access controls, privacy safeguards, and data-governance practices
Troubleshoot pipeline failures, data-quality issues, and performance bottlenecks
Help define data architecture and the technical roadmap
SignalFire reviews applications on an ongoing basis and may contact candidates directly when a portfolio-company match exists

Requirements

What you’ll need

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 AWS, GCP, or Azure
Experience with 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 translate business needs into data solutions
Strong judgment regarding reliability, scalability, governance, and infrastructure tradeoffs
Experience in venture-backed startups or rapidly scaling technology companies may be preferred
Required application materials include full name, email, LinkedIn URL, resume/CV, and current or preferred working location

Benefits

Comp & perks

Profile shared with portfolio companies for visibility into exclusive early-stage opportunities
Profile kept on file for future Data Engineering roles across SignalFire’s portfolio
Opportunity to receive recruiting correspondence and potential matching with portfolio companies