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Data Engineer

Apolis
  • πŸ‡ΊπŸ‡Έ United States
  • On-site
  • Mid level
  • 1 week ago
  • $50 – $53 / hour

Data Engineer

Location: Seattle, WA – Remote
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Job Overview

We are seeking an experiencedData Engineer with deep expertise in building and supportingbatch, distributed, and real-time data pipelines and highly available data capabilities.

The ideal candidate will have strong experience designingfault-tolerant, self-healing, adaptive, and highly accurate data processing pipelines, along with the ability to troubleshoot complex data and software issues and optimize queries across large-scale datasets.

Key Responsibilities

  • Design, build, and supportbatch, distributed, and real-time data pipelines.
  • Develop highly available and scalable data engineering solutions.
  • Buildfault-tolerant, self-healing, adaptive, and accurate computational pipelines.
  • Provide technical consultation and lead the implementation of complex data engineering programs.
  • Develop, maintain, and support assigned data systems and projects.
  • Create and maintain comprehensivetechnical documentation for systems and projects.
  • Tune and optimize queries operating againstbillions of rows of data in distributed query environments.
  • Performroot cause analysis (RCA) to identify and implement permanent resolutions for software and business process issues.
  • Troubleshoot performance, reliability, and data quality issues across data pipelines and systems.
  • Collaborate with technical and business stakeholders to deliver reliable data solutions.

Required Qualifications

  • Strong experience in theData Engineering domain.
  • Hands-on experience withbatch and distributed data processing.
  • Experience building and supportingreal-time data pipelines.
  • Strong understanding of highly available and scalable data systems.
  • Experience developingfault-tolerant and self-healing data pipelines.
  • Experience working withdistributed query engines and very large datasets.
  • Strongquery optimization and performance tuning skills.
  • Proven experience performingroot cause analysis and resolving complex technical issues.
  • Ability to provide technical consultation and lead complex implementations.
  • Strong documentation and communication skills.

Key Skills

  • Data Engineering
  • Batch & Distributed Processing
  • Real-Time Data Pipelines
  • Data Pipeline Architecture
  • Fault-Tolerant Systems
  • Self-Healing Pipelines
  • Distributed Query Engines
  • Query Optimization
  • Performance Tuning
  • Large-Scale Data Processing
  • Root Cause Analysis
  • High Availability
  • Data Accuracy & Reliability
  • Technical Documentation

Work Requirements

  • Location: Seattle, WA – Remote
  • Start Date: Immediate
  • Background Check: Mandatory

Data Engineer Β· Apolis

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