Senior Data Engineer (Python / AWS / EKS / PostgreSQL)
Polaris I/O — Remote (U.S. only) | Full-time
About the company
Polaris I/O provides the world’s only integrated go-to-customer platform that combines transformation services, industry insights, and powerful technology to enable B2B companies to protect, retain, and grow large accounts. Our platforms take an outside-in approach to improving commercial health, utilizing executive buyer insights to inform the orchestration of commercial activities that improve relationships, maximize growth, and scale beyond our engagement. Polaris I/O is an Equal Opportunity Employer.
Role Summary
Polaris I/O is hiring a Senior Data Engineer to help build and scale our event-driven microservice data pipeline powering our CRM Integration Platform. This platform enables reliable, high-quality data exchange with client systems such as Salesforce, Microsoft Dynamics, and Matrix.
Our stack includes:
· Python microservices (FastAPI)
· AWS SQS + EventBridge
· Kubernetes (EKS)
· Aurora PostgreSQL
· Configuration-driven workflows using YAML
This role is hands-on and technical — you will build production systems that run at scale.
What You’ll Do:
Microservice Development
· Build/maintain Aurora PostgreSQL data models using SQLAlchemy + Alembic
· Implement pipelines for:
· normalization
· deduplication
· data hygiene
· enrichment
· record matching
· Tune PostgreSQL performance (query optimization, indexing, partitioning)
Cloud & Integration
· Build cloud-native pipelines using AWS SQS, EventBridge, EKS, Lambda, Aurora PostgreSQL
· Integrate with CRMs to extract/process/reinsert standardized datasets
· Improve observability using structured logging + monitoring
What We’re Looking For (Must-Haves)
· 7+ years software engineering experience
· 5+ years hands-on Python
· Production experience with:
o PostgreSQL performance tuning
o AWS event-driven services (SQS, EventBridge, etc.)
o Kubernetes / EKS
· Experience with FastAPI, async Python
· Experience with SQLAlchemy, Alembic, Pydantic
· Strong debugging skills in distributed cloud systems
· Strong written and verbal communication in English (role includes documentation and collaboration with U.S.-based teams/clients)
Work Authorization Requirement (Required)
· Candidates must be legally authorized to work in the United States without the need for current or future employer sponsorship, including but not limited to 'STEM OPT' applicants.
Work Expectations
· Work Hours - This is a full-time position that requires employees to be online, actively engaged during standard business hours, and available for occasional after-hours support.
· Exclusivity Requirement - Candidates must not engage in employment or contract work with other companies while employed by Polaris I/O. We are seeking dedicated team members committed to contributing to our mission and goals.
· Work Authorization - This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
Compensation & Benefits:
· Salary range: $125,000 – $150,000
· Medical, dental, vision insurance
· Generous PTO
· Professional growth opportunities
Application Instructions (Important)
To be considered, you must answer the application questions directly.
Applications missing these responses will not be reviewed.
Job Type: Full-time
Pay: $125,000.00 - $150,000.00 per year
Benefits:
- Dental insurance
- Health insurance
- Paid time off
- Vision insurance
Application Question(s):
- Would you be willing to attend in-person meetings (up to a couple of times / year) with other Polaris staff at the company offices, with reimbursement of necessary travel expenses?
- Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status, 'STEM OPT' applicants)?
- In 4–6 sentences, describe the most complex event-driven pipeline you built (tools + scale + challenges).
- Describe one PostgreSQL performance issue you solved. What was the root cause and what was the fix?
- Provide one example of how you ensured reliability in an event-driven system (idempotency, retries, dedupe, ordering, DLQs, etc.).
- In your answer to this question, include the word “Aurora” and explain how you’ve used YAML or configuration-driven workflows in production.
Education:
Experience:
- Python: 5 years (Required)
- PostgreSQL: 5 years (Required)
- AWS: 3 years (Required)
- Microservices: 3 years (Required)
Work Location: Remote
