Data Engineer

Jobtailor; United States; On-site; USD 110,000 - 150,000; Full time

Job summary

SignalFire’s Talent Network is seeking Data Engineers for exciting roles at VC-backed startups. You will design, build, and maintain scalable batch and real-time data pipelines, develop reliable data models and transformations, and manage cloud data warehouses and data platforms.

You will collaborate with analytics, product, engineering, and business teams to understand data requirements, ensure data quality and governance, and support ML training and inference data pipelines across diverse

Qualifications

• 3+ years of experience in data engineering or related technical role
• Strong Python and SQL skills with production ETL/ELT experience
• Experience with scalable data models and cloud data warehouses
• Familiarity with AWS, GCP, or Azure and data governance basics
• Knowledge of data quality, lineage, and observability practices
• Experience supporting ML workflows with data pipelines
• Ability to translate business needs into data solutions

Responsibilities

• Design and maintain scalable batch and real-time data pipelines
• Develop reliable data models, transformations, and datasets
• Build and manage cloud-based data warehouses and data platforms
• Integrate data from product, customer, financial, and third-party systems
• Establish data quality, testing, lineage, observability, and documentation standards
• Collaborate with analytics, product, engineering, and business teams
• Support ML applications with training, feature, and inference data pipelines
• Improve data infrastructure performance and cost efficiency
• Build self-service data discovery tools and governance processes

Skills

Data Engineering

Python Programming

SQL Proficiency

ETL Pipeline Development

Cloud Data Warehousing

Data Modeling

Data Quality Assurance

Workflow Orchestration

Data Governance

Distributed Systems

Tools

Snowflake

BigQuery

Redshift

Databricks

AWS

GCP

Azure

Job description

• 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

• 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

Core Competencies

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 Engineering
• Python Programming
• SQL Proficiency
• AWS Experience
• ETL Pipeline Development

ATS Optimization Keywords

Hard Skills

• Data Pipeline Design
• Data Modeling
• ETL Development
• Data Transformation
• Data Quality Assurance
• Machine Learning Support
• Cloud Data Warehousing
• Distributed Systems Understanding
• Workflow Orchestration
• Data Governance

Soft Skills

• Collaboration
• Problem-Solving
• Judgment

Industry Keywords

• Venture-Backed Startups
• Data Infrastructure
• Data Observability
• Data Lineage
• Data Privacy

Tools & Technologies

• Snowflake
• BigQuery
• Redshift
• Databricks
• AWS
• GCP
• Azure