Senior Data Engineer

Federato

Senior Data Engineer building scalable data pipelines and frameworks for Federato's AI-native platform. Collaborating with cross-functional teams to enhance machine learning capabilities and feature delivery.

Posted 7/22/2026full-timeRemote • 🏈 Anywhere in North AmericaSenior💰 $160,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining scalable data pipelines using SQL and Python, while enforcing engineering best practices across AI/ML initiatives. Proven ability to collaborate with cross-functional teams to deliver impactful data products and manage complex data infrastructure.

Highest-signal resume keywords

Data EngineeringETL Pipeline DevelopmentSQL ProficiencyPython ProgrammingCloud Infrastructure (AWS, GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data InfrastructureScalable Data PipelinesVersion ControlCI/CD PracticesDbt Testing StrategiesAirflowDagsterPrefectTypescriptPrompt Engineering

Soft Skills

CollaborationProblem-SolvingAdaptabilityStakeholder Engagement

Tools & Technologies

AWSGCPTerraformObservability Tooling

Industry Keywords

AI/MLData QualityEngineering Best Practices

Tech Stack

Tools & technologies

AirflowAWSCloudETLGoogle Cloud PlatformPythonSQLTerraformTypeScript

About the role

Key responsibilities & impact

Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines that enable the Product Support team to deliver compelling user-facing features
Contribute to architecture decisions, observability tooling, and data quality initiatives that keep our platform robust and maintainable.
Contribute to a scalable internal framework for managing prompt engineering pipelines and other AI workflows.
Enforce and elevate engineering best practices across the AI/ML org, including code quality, testing, and documentation.

Requirements

What you’ll need

5+ years of experience in data engineering, backend engineering, or related roles with a focus on data infrastructure.
Proven experience designing and maintaining scalable data pipelines (e.g., using Airflow, Dagster, or Prefect).
Experience with software development practices like version control, CI/CD, or dbt testing strategies.
Strong proficiency in SQL and Python, with bonus points for Typescript (or similar) experience
Comfort working with version control, CI/CD systems, and cloud infrastructure (e.g., AWS, GCP, Terraform).
Comfortable navigating ambiguity and working closely with business stakeholders to understand their data needs.
Proven track record of designing high-impact data products and pipelines in fast-paced environments.

Benefits

Comp & perks

Total compensation package includes stock options
Additional perks