Senior Software Engineer & Tech Lead - Data Analytics

Tive

United States

Hybrid

USD 130,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Autonomy to build
Global team
Competitive equity

Job summary

Tive is seeking a Senior Software Engineer in the United States to mentor a team of full stack engineers while contributing as a strong individual contributor on a large-scale data processing and analytics system. You will help build a platform that delivers monitoring, analysis and predictions for shipments across the supply chain.

Ideal candidates have expertise in C# and Python, data modeling, SQL/NoSQL databases, and cloud-based DevOps in AWS.

Qualifications

  • Experience with big data streaming platforms such as AWS Kinesis or Apache Kafka.
  • Experience with multi-tier web application development.
  • Experience with AWS hosting environments and DevOps.
  • Superb abstraction and design skills.
  • Understanding of data modeling and relational databases.
  • Expertise with server side languages such as C# and Python.
  • Expertise with databases such as SQL Server, Postgres, and MongoDB.
  • Working knowledge of Agile development methodologies such as Scrum.

Responsibilities

  • Mentor a team of full stack software engineers.
  • Contribute as an individual contributor to develop scalable data processing and analytics systems.
  • Lead by example while developing software and tackling tasks.
  • Coordinate efforts as the team builds a data processing and analytics platform.
  • Foster strong relationships with remote peers across time zones.

Skills

Big data streaming platforms
Multi-tier web apps
AWS hosting/DevOps
Abstraction and design
Data modeling & relational databases
C# & Python
SQL Server, Postgres, MongoDB
Agile/Scrum
Docker/Kubernetes
ASP.NET Core & Angular
HTML/CSS/JavaScript/TypeScript

Tools

Docker
Kubernetes

Job description

Tive is seeking a Senior Software Engineer in the United States to mentor a team of full stack engineers while contributing as a strong individual contributor on a large-scale data processing and analytics system. You will help build a platform that delivers monitoring, analysis and predictions for shipments across the supply chain.

Ideal candidates have expertise in C# and Python, data modeling, SQL/NoSQL databases, and cloud-based DevOps in AWS.

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