Software Engineer: Data and Integrations (Remote)

M3USA•Fort Washington, PA

1h•Remote

About The Position

The Data & Integrations Engineer is a Central Services role currently focused on M3 USA's clinical trials business, responsible for data pipelines, system integrations, and custom software solutions. This position requires a fast-learning, adaptable generalist who can own the full technical stack, from infrastructure-as-code to Lambda functions to reporting, with limited technical guidance. The work spans ELT pipelines, Tableau reporting, AWS Lambda functions, infrastructure management with Pulumi, third-party integrations, and AI-powered process automation. The ideal candidate excels at translating business needs into pragmatic technical solutions and is comfortable working around imperfect vendor systems. As a Central Services position, responsibilities may evolve to support other M3 USA businesses over time, so it’s a great opportunity for a versatile engineer who values variety and growth.

Requirements

SQL
Python
AWS (Lambda, S3)
infrastructure-as-code (Pulumi/Terraform)
REST APIs
Tableau
generative AI coding tools (e.g., Claude Code, GitHub Copilot)
Startup or small-team experience - comfortable as the sole engineer with limited technical guidance.
Pragmatic problem-solver - works around imperfect systems rather than waiting for ideal conditions.
Strong written communication - documents solutions clearly for non-technical audiences.
Breadth over depth - comfortable across many technologies rather than specializing in one.
Adaptable - energized by evolving responsibilities and new challenges.

Nice To Haves

Snowflake
dbt
Fivetran
TypeScript
Google Analytics/GTM
LLM APIs (Claude, OpenAI)
healthcare/clinical trials experience

Responsibilities

Develop AWS Lambda functions, APIs, and web applications to support business operations.
Integrate third-party SaaS platforms into business workflows, developing creative solutions to work around vendor limitations.
Manage cloud infrastructure using Pulumi.
Build and maintain ELT pipelines to integrate and transform data across platforms.
Support Tableau dashboards and ensure data quality for business-critical reporting.
Design and implement AI-powered automation to improve operational efficiency.
Evaluate and integrate LLM APIs into business processes.
Work with product managers and business stakeholders to understand requirements and deliver solutions.
Participate in code review and maintain readable, well-documented code.