Data Engineer

1 Month ago • 2-5 Years

Job Summary

Job Description

As a Data Engineer at Domo Inc., you will be essential in building and maintaining strong, scalable data pipelines that support financial analytics solutions and AI-driven insights. You will work with data scientists, BI analysts, engineers, and sales teams to design data workflows that convert complex financial data into actionable business intelligence. You will design, develop, and optimize data pipelines, ingest, process, and model large and diverse financial datasets, ensuring data accuracy and performance. You will implement data validation, monitoring, and quality assurance frameworks within data workflows. You will continuously improve data platform reliability, security, and efficiency in a fast-paced environment.
Must have:
  • Experience as a Data Engineer within AI data platforms.
  • Proficient in Python programming.
  • Strong understanding of financial analytics concepts.
  • Experience in SQL and relevant database technologies.
  • Bachelor’s or Master’s degree in computer science or related discipline.
  • Excellent problem-solving skills and attention to detail.
Good to have:
  • Experience working with AI/ML data pipelines or platforms.
  • Previous work experience at a BI or AI data platform company.
  • Knowledge of regulatory and compliance considerations in financial data handling.

Job Details

COMPANY OVERVIEW

Domo's AI and Data Products Platform lets people channel AI and data into innovative uses that deliver a measurable impact. Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI.

POSITION SUMMARY

This role is required to be in office 5 days a week.

As a Data Engineer at Domo Inc., you will play a critical role in building and maintaining robust, scalable data pipelines that support financial analytics solutions and AI-driven insights. You will collaborate with data scientists, BI analysts, engineers and sales teams to architect data workflows that transform complex financial data into actionable business intelligence.

KEY RESPONSIBILITIES

  • Design, develop, and optimize data pipelines and ETL processes for our AI-driven financial analytics and BI platforms. 
  • Ingest, process, and model large and diverse financial datasets, ensuring data accuracy and performance. 
  • Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions. 
  • Implement data validation, monitoring, and quality assurance frameworks within data workflows. 
  • Work with cloud-native technologies (AWS, GCP, or Azure) and leverage big data tools to support real-time and batch data processing. 
  • Continuously improve data platform reliability, security, and efficiency in a fast-paced environment. 
  • Document data practices, workflows, and contribute to knowledge sharing within the team. 

JOB REQUIREMENTS

  • Bachelor’s or Master’s degree in computer science, Engineering, Information Systems, or related discipline. 
  • 2-5 years of experience as a Data Engineer, preferably within AI data platforms, financial services, or BI environments. 
  • Proficient in Python programming. 
  • Strong understanding of financial analytics concepts, including market data, portfolio analysis, risk metrics, and trading workflows. 
  • Experience in SQL and relevant database technologies (relational and NoSQL). 
  • Excellent problem-solving skills and attention to detail. 
  • Strong interpersonal and communication skills with a collaborative team-oriented mindset. 

Preferred Qualifications

  • Experience working with AI/ML data pipelines or platforms. 
  • Previous work experience at a BI or AI data platform company. 
  • Knowledge of regulatory and compliance considerations in financial data handling. 

LOCATION: American Fork, UT

BENEFITS: https://www.domo.com/company/careers/culture 

Domo is an equal opportunity employer.

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