Senior Data Engineer

Opinov8; USA; Remote; USD 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

Remote work

Learning & development

Zusammenfassung

Opinov8 is seeking a data engineer to build the data foundations behind a sports performance assessment product. The platform processes short smartphone-recorded exercises with computer vision to produce measures and rankings, helping connect individuals with organizations looking for data-informed talent insights.

You'll own production data models, pipelines, and services, working closely with product, engineering, AI, and business teams as the product evolves.

Qualifikationen

• Five to seven or more years in data engineering, ML engineering, or another data-intensive role.
• Strong Python skills, including modular design, testing, and maintainable software structure.
• Solid SQL skills and experience designing analytical schemas.
• Hands-on experience building production data pipelines and services.
• Strong experience with AWS and cloud-based data architectures.
• Familiarity with CI/CD, monitoring, logging, and deployments; comfortable with messy data and changing requirements.
• Clear English communication and experience collaborating across teams; interest in sports and performance analytics.

Aufgaben

• Define and maintain data models for users, events, and performance.
• Build and operate production pipelines, data services, and jobs on AWS.
• Establish trusted definitions for key product and business metrics, and organize data for funnel, activation, and retention analysis.
• Choose practical approaches for storing, processing, and serving data; assess additional platforms when they offer clear value.
• Design an architecture that can grow with the product, AI capabilities, and data volume without unnecessary complexity.
• Improve pipeline performance, scalability, and cloud costs; write maintainable Python code.

Kenntnisse

Python

SQL

AWS

CI/CD

Monitoring

Tools

BigQuery

Snowflake

Databricks

Jobbeschreibung

Role overview

Build the data foundations behind a sports performance assessment product. The platform processes short smartphone-recorded exercises with computer vision to produce measures and rankings, helping connect individuals with organizations looking for data-informed talent insights. You'll own production data models, pipelines, and services, working closely with product, engineering, AI, and business teams as the product evolves.

Responsibilities

• Define and maintain data models for users, events, and performance.


• Build and operate production pipelines, data services, and jobs on AWS.


• Establish trusted definitions for key product and business metrics, and organize data for funnel, activation, and retention analysis.


• Choose practical approaches for storing, processing, and serving data; assess additional platforms when they offer clear value.


• Design an architecture that can grow with the product, AI capabilities, and data volume without unnecessary complexity.


• Improve pipeline performance, scalability, and cloud costs; write maintainable Python code.

Requirements

• Five to seven or more years in data engineering, ML engineering, or another data-intensive role.


• Strong Python skills, including modular design, testing, and maintainable software structure.


• Solid SQL skills and experience designing analytical schemas.


• Hands-on experience building production data pipelines and services.


• Strong experience with AWS and cloud-based data architectures.


• Familiarity with CI/CD, monitoring, logging, and deployments; comfortable with messy data and changing requirements.


• Clear English communication and experience collaborating across teams; interest in sports and performance analytics.

Nice to have

• Experience in a fast-paced or early-stage product environment.


• Familiarity with tools such as BigQuery, Snowflake, or Databricks.

Benefits and work setup

• Remote work with flexible conditions and collaboration across locations.


• Ongoing learning and development opportunities.