Data Engineer

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:

• Bachelor's (Required)

Experience:

• Python: 5 years (Required)
• PostgreSQL: 5 years (Required)
• AWS: 3 years (Required)
• Microservices: 3 years (Required)

Work Location: Remote