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People Architects is proud to recruit a Data Operations Engineer- a critical, hands-on role that sits at the intersection of data, engineering, and operations for our partner Avatar Fleet.

Avatar, a remote-native, purpose-driven company helping fleets solve one of transportation’s biggest challenges through technology that improves driver recruiting, compliance, and safety. Team members are drawn to the mix of flexibility, genuine care for employee well-being, strong career development, and the chance to do meaningful work that helps shape an industry that truly needs change.

This is not a traditional data analyst role, and it is not a large-scale platform data engineering position. It is a high-ownership, engineering-adjacent role for someone who enjoys taking messy, real-world data and turning it into clean, reliable, production-ready systems that teams can trust.

The Role:

As the Data Operations Engineer, you will own customer data onboarding and operational data workflows end-to end, allowing the core engineering team to stay focused on product development.

In this role you’ll work across SQL, Python, spreadsheets, CSVs, and ETL tooling to ingest, transform, validate, and maintain customer data inside a SaaS platform. If you enjoy solving data puzzles, building leverage through automation, and being the person who quietly makes everything work better, this role is built for you.

What You’ll Do:

Lead customer data onboarding, including mapping, cleansing, transforming, and importing data from competitor platforms, spreadsheets, and ad-hoc sources
Build and maintain repeatable ingestion processes and scripts using Python, SQLAlchemy, and Postgres
Partner with Customer Success Managers to define data requirements and onboarding timelines
Translate messy, inconsistent customer data into clean internal schemas with accuracy and consistency
Maintain a library of reusable migration utilities, validation scripts, and automation tools
Own internal and external reporting requests requiring SQL or data extraction
Perform one-time data cleanups, corrections, and backfills directly in the SaaS database
Investigate data anomalies and support engineering with root-cause analysis
Improve and maintain ETL pipelines to reduce manual engineering work
Build lightweight automations to streamline recurring operational workflows

Qualifications (Required and Preferred):

Strong SQL skills (Postgres preferred)
Comfort working with large, messy Excel, Google Sheets, and CSV datasets
Python proficiency (SQLAlchemy strongly preferred)
Experience designing data transformations, mappings, and validations
Solid understanding of ETL principles, automation, and scripting
Ability to interpret data models and navigate relational schemas
High attention to detail and a strong data quality mindset
Clear communicator with both technical and non-technical partners
Experience with Python-based migration or ETL frameworks
Familiarity with SaaS data structures, multi-tenant databases, or systems like CRM, ATS, or LMS platforms
Experience building reusable internal tools for data operations
Exposure to Git and basic DevOps workflows
Comfort troubleshooting and working in production-like environments

Benefits

Full Health insurance
PTO
Company paid holidays
Phone Stipend
401K with match

We are committed to a diverse and inclusive workplace. People Architect and our clients are equal opportunity employers and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Applicants for employment with any of People Architect’s clients will ever be asked to provide money (even if reimbursable) as part of the job application or hiring process.

no external agencies/3rd parties.

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Data Operations Engineer