Build and own a near real-time data streaming and messaging platform for a logistics company. Design event-driven data pipelines, ingestion, processing, models, and APIs; requires advanced Python, SQL optimization, and real-time data systems experience.
162k – 216k/yr
Hybrid5+ YOEData Engineering
About the role
Responsibilities
Design and maintain a robust data streaming and messaging architecture.
Own the near real-time data streaming platform.
Act as a technical liaison to ensure alignment of data strategies with business goals.
Take charge of the entire data landscape, encompassing near real-time data ingestion, sophisticated processing, and efficient data consumption strategies.
Collaborate closely with data stakeholders to simplify and solve complex data challenges, transforming them into scalable and maintainable technical solutions.
Develop and maintain data pipelines, enhance data models, and refine API layers.
Required Qualifications
Data Systems Expertise
Experience with real-time data systems.
Relational table modeling and event-driven pipeline architecture.
Working familiarity with SQL: Query Performance Analysis, Optimization, and Construction.
Python Proficiency
Advanced proficiency coding in Python.
Preferred Qualifications
Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related technical field.
3-5 years of Software Engineering experience, with a preference for backgrounds in event-driven architecture or real-time data streaming.
Demonstrated interest or experience in the freight and logistics industry, with a keen understanding of its data-driven challenges and opportunities.
Strong foundation in data analytics and big data technologies, with the ability to leverage these skills to drive insights and operational efficiencies.
Compensation and Benefits
Competitive Base Salary: $162000 - $216000 (annual base; total compensation includes LTI package, annual company performance bonuses, Long Term Cash Incentive Plan).
Annual Company Bonus.
Long Term Cash Incentive Plan.
401k with Matching.
Hybrid Work Schedule.
Comprehensive Health Coverage.
Employee Stock Purchase Program (15% discount to market value).
Collaborative, Tech-Forward office environment.
Skills
PythonSQLreal-time data systemsEvent-Driven Architecturedata streamingData Pipelinesrelational table modelingdata ingestionbig data technologiesData AnalyticsAPI Development
Designs and maintains near real-time data streaming platforms, data pipelines, and event-driven architectures. Requires advanced Python, SQL expertise, and 3+ years in software engineering focused on data systems.
162k – 216k/yr
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