Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
ShippyPro

Data Platform Engineer – Mid-level

ShippyPro

. Read and assess existing CI/CD pipelines to determine whether tasks require adaptations of established patterns .

Posted 9/21/2026full-timeRemote • United StatesJuniorMid-Level💰 €33,000 - €43,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in CI/CD pipeline management, infrastructure-as-code, and data governance standards. Proficient in Python and SQL, with a strong ability to collaborate across data engineering, backend, and infrastructure teams.

Highest-signal resume keywords
CI/CD Pipeline ManagementInfrastructure-As-Code (IaC)Python ProficiencySQL ProficiencyDocker Experience

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
CI/CD Pipeline ManagementInfrastructure-As-Code (IaC)PythonSQLDockerData Engineering StandardsGovernance StandardsTemplate Repository ManagementDocumentation WritingAccess Control
Soft Skills
CollaborationProblem-SolvingIndependence
Tools & Technologies
AWSAI Tools (Copilot, Claude, Cursor)
Industry Keywords
Data EngineeringBackend DevelopmentInfrastructure

Tech Stack

Tools & technologies
AWSCloudDockerPythonSQL

About the role

Key responsibilities & impact
  • Read and assess existing CI/CD pipelines to determine whether tasks require adaptations of established patterns
  • Extend infrastructure-as-code following repository patterns
  • Apply data engineering and governance standards to new services, including naming conventions, access control, and retention
  • Build self-serve tooling, including a template repository with CI, IaC, and governance pre-wired
  • Create modules that make new pipelines a one-command job
  • Write documentation that answers common questions without requiring engineer assistance
  • Own the access-request flow for data resources
  • Own the template repository and IaC modules, including the roadmap and documentation
  • Collaborate across data engineering, backend, and infrastructure within the Data & AI team
  • Report to the Data Team Leader

Requirements

What you’ll need
  • Independently owned a deployment path end to end, including writing the pipeline, fixing production issues, and documenting the runbook
  • Ability to open unfamiliar code, explain what it does, and identify likely issues
  • Approximately 2 years of professional experience
  • Proficiency in Python and SQL for daily work
  • Experience with Docker
  • Cloud exposure; AWS should not be a new concept
  • Comfort working across data engineering, backend, and infrastructure
  • Ability to use AI tools such as Copilot, Claude, or Cursor and defend the correctness of generated output
  • No frontend development experience required; this is not a frontend role
  • No ML research or model-training experience required

Benefits

Comp & perks
  • Meal vouchers (office or remote)
  • Mental health support & fitness benefits
  • Yearly learning budget and AI tools
  • Remote flexibility with expenses-paid trips to HQ for team meetups
  • No clock-in/out policy
  • One-time home office allowance
  • Birthday Time Off — one extra day off
  • Career Growth Program with clear growth paths, structured goals, and continuous feedback
  • International team