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Company

MyDataProduct · 2 hours ago

Senior Data Product Engineer

United States

Contract

Remote

Senior Level

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Software Development

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Responsibilities

Review structured merge requests (MRs) and make code changes required for successful merges

Develop data product web applications using Flask and other Python-centric tools

Provision and maintain cloud-based infrastructure via Terraform

Engineer and maintain production-grade data pipelines

Leverage Google Kubernetes Engine (GKE), Cloud Storage, and other GCP services to build secure, performant, scalable, reliable, and cost-effective data product solutions

Test, deploy, and maintain Dockerized applications

Interface with local and cloud-based Redis servers

Translate user interface mockups/prototypes into custom HTML, CSS, and JavaScript

Code custom data integrations and data platform features

Document source code, architectural designs, research, development plans, and engineering standards to enable solution modularity, reproducibility, portability, collaboration, and knowledge sharing

Collaborate with teammates using Slack, Figma, Google Meet, and/or other software

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data engineeringData sciencePythonFlaskTerraformGoogle Kubernetes Engine (GKE)DockerRedisHTMLCSSJavaScriptGitAPIsBootstrapCoachability

Required

Comfortable working 100% remotely as part of a distributed team

Excel at independent execution of complex engineering projects

Work products demonstrate a high level of attention to detail and the ability to see the big picture

Aptitude, mindset, and ability to learn quickly

Review structured merge requests (MRs) and make code changes required for successful merges

Develop data product web applications using Flask and other Python-centric tools

Provision and maintain cloud-based infrastructure via Terraform

Engineer and maintain production-grade data pipelines

Leverage Google Kubernetes Engine (GKE), Cloud Storage, and other GCP services to build secure, performant, scalable, reliable, and cost-effective data product solutions

Test, deploy, and maintain Dockerized applications

Interface with local and cloud-based Redis servers

Translate user interface mockups/prototypes into custom HTML, CSS, and JavaScript

Code custom data integrations and data platform features

Document source code, architectural designs, research, development plans, and engineering standards to enable solution modularity, reproducibility, portability, collaboration, and knowledge sharing

Collaborate with teammates using Slack, Figma, Google Meet, and/or other software

Solid conceptual understanding of the complementary value of data engineering, data science, and software engineering in the development of data products

Experience building and deploying data pipelines

Proficiency in functional and object-oriented Python

Experience building full-stack web applications

Experience using Git-based version control in a team setting

Demonstrated ability to write and/or use custom APIs

Familiarity with frontend web frameworks such as Bootstrap

Experience writing modular HTML, CSS, and JavaScript

Practical understanding of software engineering principles, design patterns, and best practices

Effective modular thinking skills evidenced by the ability to break down large, intricate undertakings into a series of smaller self-contained tasks

Excellent written and verbal communication skills

Emotional intelligence and coachability