Data Engineer

SignalFire

Data Engineer building scalable pipelines, data platforms, and trusted datasets for SignalFire’s VC-backed startup portfolio. Supporting analytics, machine learning, governance, and infrastructure growth across early-stage technology companies.

Posted 8/5/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines and cloud-based data platforms, with a strong focus on data quality, governance, and collaboration across teams. Proficient in programming and data modeling, with experience in machine learning and AI applications.

Highest-signal resume keywords

Data Pipeline DevelopmentCloud-Based Data WarehousingSQL ProficiencyETL/ELT Pipeline ManagementCollaboration with Stakeholders

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingJava ProgrammingScala ProgrammingSQLData ModelingETLELTData Quality ToolingWorkflow OrchestrationDistributed Systems

Soft Skills

CollaborationStrong Judgment

Tools & Technologies

AWSGCPAzureSnowflakeBigQueryRedshiftDatabricks

Industry Keywords

Data EngineeringAnalytics EngineeringData GovernanceData InfrastructureMachine LearningAI ApplicationsVenture-Backed Startups

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudDistributed SystemsETLGoogle Cloud PlatformJavaPythonScalaSQL

About the role

Key responsibilities & impact

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
Develop training, feature, and inference data pipelines supporting machine learning and AI applications
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 access controls, privacy safeguards, and data-governance practices
Troubleshoot pipeline failures, data-quality issues, and performance bottlenecks
Help define broader data architecture and technical roadmaps
Submit an application to SignalFire’s Talent Ecosystem
Work with SignalFire talent partners or portfolio-company leaders if a potential match is identified
Maintain profile consideration for future Data Engineering roles across the portfolio

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 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
LinkedIn URL required
Resume/CV required; PDF format preferred
Current or preferred working location required on the application
Must provide consent for SignalFire to collect, store, process, and potentially share submitted information with portfolio companies
Must consent to communications from SignalFire

Benefits

Comp & perks

Profile visibility into exclusive early-stage opportunities across SignalFire’s portfolio companies
Potential consideration for full-time, fractional/interim, and advisory opportunities
Ongoing consideration for future Data Engineering roles across the portfolio
Ability to request updates or removal of submitted information at any time
Occasional SignalFire communications, newsletters, insights, or community-event invitations (with opt-out option)