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Data Engineer - Job Opportunity at Stacklogy

United States
Full-time
Senior
Posted: April 13, 2025
Hybrid
USD 120,000 - 165,000 per year based on location and experience requirements

Key Responsibilities

Design and implement scalable data pipelines and ETL processes
Develop and optimize machine learning frameworks
Create and maintain complex SQL queries for large datasets
Build data visualization solutions and dashboards
Collaborate on web development projects using AngularJS

Requirements

Education

Master's Degree in Statistical Analytics, Data Science, or Bachelor's Degree in computer science engineering with 3-5 years experience

Experience

5+ years

Required Skills

AngularJS D3 R Python Machine Learning Dimensionality Reduction Natural Language Processing Tableau/QlikView Informatica Hadoop Hive Spark SQL ETL
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Sauge AI Market Intelligence

Industry Trends

The convergence of data engineering and machine learning engineering roles indicates a shift toward more integrated data teams. Increasing demand for engineers who can bridge the gap between traditional ETL and modern ML operations. Growing emphasis on real-time data processing capabilities and stream analytics

Role Significance

Likely part of a 5-8 person data team, possibly leading 2-3 junior engineers
Senior-level position with significant technical depth, suggesting a role that involves both hands-on development and technical leadership

Key Projects

Enterprise data warehouse optimization and scaling Machine learning pipeline development and deployment Real-time analytics system implementation Cross-functional data platform architecture

Success Factors

Deep understanding of both traditional data engineering and modern ML operations Ability to optimize performance across various data systems Strong architectural thinking and system design capabilities Effective collaboration with data scientists and business stakeholders

Market Demand

Very High - The combination of data engineering and ML expertise is currently one of the most sought-after skill sets in the technology sector

Important Skills

Critical Skills

SQL optimization expertise is foundational given the emphasis on complex query development Python proficiency for both data engineering and ML workflows Machine learning framework experience indicates evolving role beyond traditional data engineering

Beneficial Skills

Web development skills suggest full-stack capabilities are valued Visualization tool experience indicates importance of data communication Hadoop ecosystem knowledge shows enterprise-scale data processing needs

Unique Aspects

Unusual combination of traditional data engineering with modern ML engineering requirements
Strong emphasis on full-stack capabilities including front-end development
Focus on scalable systems suggests rapid growth environment

Career Growth

2-3 years in role before advancement, depending on project success and organizational growth

Potential Next Roles

Lead Data Engineer Data Architecture Manager Head of Data Platform Technical Data Director

Company Overview

Stacklogy

Stacklogy appears to be a technology company focused on data-driven solutions and enterprise systems

Mid-sized technology company based on job requirements and organizational structure
US-based operations with potential for remote work capabilities
Technology-focused environment with emphasis on modern tools and methodologies
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  • Salary estimates and market demand analysis
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  • Critical success factors and key skills
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