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Data Engineer - Job Opportunity at Diagonal Matrix Ltd

Remote, US
Full-time, Contract
Senior
Posted: May 3, 2025
Remote
USD 150,000 - 190,000 per year

Benefits

Comprehensive 401(k) retirement planning with competitive matching structure
Premium dental insurance coverage with preventive care focus
Comprehensive health insurance package aligned with industry standards

Key Responsibilities

Lead architecture and implementation of enterprise-scale ETL pipelines driving business intelligence initiatives
Architect and optimize multi-platform database systems supporting cross-functional analytics
Establish and maintain data governance frameworks ensuring organizational compliance and data integrity
Drive performance optimization initiatives across data infrastructure stack
Spearhead cross-functional collaboration to align data architecture with business objectives

Requirements

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Experience

Not explicitly stated, but requirements suggest 5+ years

Required Skills

SQL and database management Python, Scala, or Java Hadoop, Spark, Kafka Snowflake, Redshift AWS, Azure, Google Cloud Data modeling and integration Problem-solving and communication

Certifications

AWS Certified Data Analytics (preferred) Google Professional Data Engineer (preferred)
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Sauge AI Market Intelligence

Industry Trends

Increasing adoption of real-time data processing architectures is driving demand for engineers skilled in stream processing technologies like Kafka and Spark Streaming. Multi-cloud data architecture expertise is becoming critical as organizations adopt best-of-breed solutions across cloud providers. Rising focus on data governance and privacy regulations is elevating the strategic importance of data engineering roles.

Salary Evaluation

The offered salary range of $150,000-$190,000 is competitive for senior data engineering roles, especially for remote positions. This positions at the 75th percentile of market rates, reflecting the comprehensive technical requirements and strategic responsibilities.

Role Significance

Typically part of a 5-8 person data engineering team, with dotted-line relationships to data science and analytics teams of 10-15 members.
Senior-level position with significant architectural and strategic responsibilities, indicating a leadership role in technical decision-making.

Key Projects

Enterprise data warehouse modernization and cloud migration initiatives Real-time analytics pipeline implementation for business intelligence Data governance and compliance framework establishment Cross-platform data integration architecture design

Success Factors

Strong architectural vision combined with hands-on implementation capabilities Ability to balance technical debt with rapid delivery requirements Excellence in stakeholder management across technical and business teams Deep understanding of data scalability and performance optimization principles

Market Demand

Very high demand with sustained growth projected. Current market shows a 35% increase in data engineering positions year-over-year, with remote positions particularly sought after.

Important Skills

Critical Skills

Cloud platform expertise (AWS/Azure/GCP) is essential for modern data architecture design ETL pipeline development skills are fundamental for data integration success Data modeling expertise is crucial for maintaining scalable data structures

Beneficial Skills

Machine learning workflow experience enhances value in AI-driven organizations Data visualization skills facilitate better stakeholder communication DevOps practices knowledge supports efficient pipeline automation

Unique Aspects

Combination of full-time and contract options suggests flexible engagement models
Strong emphasis on cloud-native architectures indicates modern technical stack
Focus on cross-functional collaboration highlights matrix organization structure

Career Growth

Typical progression to lead roles within 2-3 years, architectural positions in 3-4 years, and senior leadership positions in 5-7 years.

Potential Next Roles

Lead Data Engineer with team management responsibilities Data Architecture Leader focusing on enterprise-wide strategy Technical Product Manager specializing in data platforms Chief Data Officer (long-term trajectory)

Company Overview

Diagonal Matrix Ltd

Diagonal Matrix Ltd appears to be a technology-focused organization investing significantly in data infrastructure, suggesting a data-driven operational model.

Company structure and compensation package indicate a well-funded organization, likely in growth phase with strong market position.
Remote-first approach suggests a distributed workforce model with national reach across US markets.
Engineering-driven culture with emphasis on technical excellence and autonomous decision-making, as evidenced by the comprehensive technical requirements and remote work structure.
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  • Salary estimates and market demand analysis
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