Data Engineer

SignalFire

Data Engineer building scalable pipelines, warehouses, and governed data platforms for SignalFire’s VC-backed startup portfolio. Supporting analytics, operational, machine learning, and AI use cases across early-stage technology companies.

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines and data models, with a strong focus on cloud-based data platforms and data governance practices. Proficient in collaborating with cross-functional teams to deliver data solutions that meet business needs.

Highest-signal resume keywords

Data EngineeringPython ProgrammingSQL ProficiencyCloud Platforms (AWS, GCP, Azure)ETL/ELT Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData ModelingETL DevelopmentWorkflow OrchestrationData Quality ToolingDistributed SystemsBatch ProcessingStreaming ArchitecturesMachine Learning SupportData Governance

Soft Skills

CollaborationJudgmentProblem-Solving

Tools & Technologies

SnowflakeBigQueryRedshiftDatabricksAirflowDockerKubernetesTerraformKafkaPostgreSQL

Industry Keywords

Venture-Backed StartupsData InfrastructureData QualityData DiscoveryData Usability

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudDistributed SystemsDockerDynamoDBETLGoGoogle Cloud PlatformJavaKafkaKubernetesMongoDBMySQLPostgresPythonScalaSparkSQLTerraform

About the role

Key responsibilities & impact

Connect exceptional Data Engineers with VC-backed startups actively hiring data engineering talent
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 with training, feature, and inference data pipelines
Improve the performance, scalability, and cost efficiency of data infrastructure
Build self-service tools and frameworks to improve data discovery and usability
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
SignalFire reviews applications on an ongoing basis and may connect candidates with portfolio-company talent partners or leaders

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
Technologies mentioned include Go, Delta Lake, Airflow, Dagster, Prefect, dbt, Fivetran, Airbyte, Kafka, Spark, Flink, Kinesis, Pub/Sub, Docker, Kubernetes, Terraform, Great Expectations, Monte Carlo, Soda, DataHub, OpenLineage, PostgreSQL, MySQL, DynamoDB, MongoDB, and S3

Benefits

Comp & perks

Profile shared with SignalFire portfolio companies for visibility into exclusive early-stage opportunities
Profile kept on file for future Data Engineering roles across the portfolio
Potential access to opportunities that may not be publicly listed