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.
Mecka

Data Engineer, Infrastructure

Mecka

. Own data storage and lifecycle, including site ingestion, object storage layout, retention, tiering, and cost .

Posted 11/11/2026full-timeToronto • CanadaMid-LevelSenior💰 CA$150,000 - CA$185,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in managing data storage and lifecycle, including ingestion, retention, and cost control, while ensuring data governance and compliance. Proficient in building automated quality checks and monitoring systems for large unstructured data environments.

Highest-signal resume keywords
Data Storage ManagementPython ProgrammingSQL ProficiencyInfrastructure-As-CodeCI/CD 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
Data Lifecycle ManagementAutomated Quality ChecksPipeline DevelopmentMonitoring and AlertingData Governance
Tools & Technologies
ContainersEdge-Machine ProvisioningRemote Software DeploymentDashboards
Industry Keywords
Unstructured DataObject StorageVideo DataSensor LogsData Agreements

Tech Stack

Tools & technologies
CloudPythonSQL

About the role

Key responsibilities & impact
  • Own data storage and lifecycle, including site ingestion, object storage layout, retention, tiering, and cost
  • Build a searchable catalog of episode metadata, task labels, operator and robot information, quality flags, and search
  • Build automated quality checks for dropped frames, sync drift, missing streams, and failed or truncated episodes
  • Build dataset export and delivery with expected formats, versioning, and provenance
  • Handle data governance, access control, customer and site data agreements, privacy, and audit trails
  • Run fleet infrastructure, including edge-machine provisioning, remote software deployments and rollbacks, secrets, VPN/connectivity, monitoring, and alerting
  • Control cloud costs and bandwidth as data volume grows
  • Build dashboards to monitor data collection status and progress

Requirements

What you’ll need
  • 4+ years as a data, platform, or infrastructure engineer owning production systems end to end
  • Experience with large unstructured data (video, sensor logs, images) in object storage, not only tabular warehouses
  • Strong Python and SQL
  • Comfortable with infrastructure-as-code, containers, and CI/CD
  • Experience building pipelines with retries, idempotency, backfills, and monitoring

Benefits

Comp & perks
  • Equity
  • Health and wellness benefits
  • Other company programs