Key Facts

Remote From:

Illinois (USA)

Full time

Senior (5-10 years)

English

Hard Skills

Other Skills

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Decision Making
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Adaptability
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Dealing With Ambiguity

Roles & Responsibilities

5+ years of software engineering experience, with at least 3 years focused on integration, platform, or infrastructure work
Proficiency in at least one backend language commonly used in data-intensive systems (Python, Go, Java); proficiency in two or more languages strongly preferred
Hands-on experience with cloud platforms (AWS strongly preferred) including compute, storage, networking, and managed services
Experience building and operating data pipelines (ETL/ELT), including schema management and data quality monitoring

Requirements:

Unify a diverse ecosystem of analytics applications into a coherent, scalable platform
Act as connective tissue across applications, making pragmatic decisions about when to consolidate and when to preserve the right tool for the job
Collaborate with engineering leads and data teams to design, implement, and operate platform integration components
Leverage AI-assisted development tools as part of the workflow and contribute to platform design decisions in ambiguity

Quantix, Inc.

About Quantix, Inc.

Quantix is an IT workforce management services provider that prioritizes people and purpose for growth. Pioneering the road map for changing the culture in the IT services industry. Quantix believes in unleashing the power of human potential, embracing diversity, and helping people and organizations thrive in reshaping our economy and the world. Quantix is on a mission to set a new standard for business to create a more inclusive reality for individuals and teams by supporting organizations that create the type of workplace where people feel motivated to contribute in a way that fuels bottom-line growth. Since 2002 we've been providing contract, contract-to-hire and direct hire services to a wide range of clients. We provide individual consultants, project management, project teams and executive management placements.

Founded: 2018

Company size: 51 - 200

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Job description

Title: Platform Integration Engineer
Location: 100% Remote
Type: Contract (possibility of conversion)
Duration: 12 months
Start: ASAP

Job Description: We are looking for a Platform Integration Engineer to join our engineering team and take on one of our most strategically important challenges: unifying a diverse ecosystem of analytics applications under a coherent, scalable technology platform.
Our analytics landscape has grown organically across multiple teams and products. The result is a collection of powerful but siloed tools — each with its own technology stack, data contracts, and deployment patterns. You will be the connective tissue that brings these applications together, making pragmatic decisions about when to consolidate and when to preserve the right tool for the right job.
This role is for an engineer who is energized by ambiguity, skilled at reading distributed systems, and opinionated (but flexible) about platform design. You will work directly with engineering leads and data teams, and you will be empowered to use AI-assisted development tools as a first-class part of your workflow.

Required Qualifications

5+ years of software engineering experience, with at least 3 years focused on integration, platform, or infrastructure work
Proficiency in at least one backend language commonly used in data-intensive systems (Python, Go, Java, or similar); proficiency in two or more languages strongly preferred
Hands-on experience with cloud platforms (AWS strongly preferred) including compute, storage, networking, and managed services
Experience building and operating data pipelines (ETL/ELT), including schema management and data quality monitoring
Working experience with AI-assisted development tooling in a professional engineering context
Strong written communication skills — able to produce clear architecture decision records (ADRs), runbooks, and design documents

Preferred Qualifications

Experience evaluating and rationalizing heterogeneous technology stacks — i.e., inheriting systems you didn’t design and making them work together
Familiarity with analytics or ML platform tooling (e.g., Airflow, dbt, MLflow, Spark, or SaaS equivalents)
Experience with API gateway management, service mesh, or distributed tracing tooling
Background working with both structured (SQL) and semi-structured (JSON, Parquet, Avro) data at scale