Senior Data Engineer / $160k–$200k + Equity / 100% Remote

Talantir; United States; Remote; USD 160,000 - 200,000; Full time

Benefits offered by this job

Equity

Remote work

Job summary

Talantir is seeking a Senior Data Engineer to design and scale data pipelines and distributed systems within a backend-focused data platform. This 100% remote role emphasizes Python development and robust production-grade data movement in AWS for a SaaS environment.

You will work with event-driven or streaming architectures, PostgreSQL at scale, and data infrastructure designed from the ground up. Equity is offered along with a base salary and remote work across the United States.

Qualifications

• Experience building data pipelines in production environments.
• Experience with event-driven or streaming systems (SQS, Kafka, or similar).
• Designing data infrastructure in AWS from the ground up.
• Strong experience with PostgreSQL or other relational databases at scale.

Responsibilities

• Build and scale data pipelines in production environments.
• Work with event-driven or streaming systems (SQS, Kafka, or similar).
• Design and evolve data infrastructure in AWS for scale.
• Develop backend services or microservices supporting data movement.
• Collaborate with SaaS or product-focused engineering teams.
• Operate within high-throughput data systems.

Skills

Backend development

Data pipelines

Distributed systems

Python

Data modeling

Tools

AWS

PostgreSQL

SQS

ECS

Docker

Job description

Senior Data Engineer / $160k–$200k + Equity / 100% Remote

Job Overview

I’m excited to share that I’m actively working with a leading IT management SaaS company that is continuing to scale out its core data platform. They are looking to bring on a Senior to Staff level Data Engineer to help build and scale the systems that move and process large volumes of data across their platform.

This is a backend-focused role centered around data pipelines, system design, and distributed architecture in AWS. You will need to be strong in Python and comfortable operating in high-scale production environments.

• Built and scaled data pipelines in production environments
• Worked with event-driven or streaming systems (SQS, Kafka, or similar)
• Designed data infrastructure in AWS from the ground up
• Strong experience with PostgreSQL or other relational databases at scale
• Built backend services or microservices that support data movement
• Experience working in SaaS or product-focused engineering teams
• Operated within high-throughput or high-volume systems

What will make you standout:

• Have built data platforms or pipeline systems from scratch
• Have worked with large-scale data processing (millions or billions of records)

Location: 100% Remote - CA, CO, CT, FL, GA, KS, MA, MD, ME, NJ, NC, NY, OR, TN, TX, VA, and WA

Salary: $160k-$200k base salary / stock options

Tech Stacks:

• Python
• SQL
• AWS
• PostgreSQL
• SQS
• ECS
• Docker

As a professional company, we gladly welcome applications from persons of any age and background and do not intend to discriminate with advert text and terminology.