A
Data Engineer
Apolis
- πΊπΈ United States
- On-site
- Mid level
- 1 week ago
- $50 β $53 / hour
1 week ago
Data Engineer
Location: Seattle, WA β 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 β Remote
- Start Date: Immediate
- Background Check: Mandatory
Data Engineer Β· Apolis