Full Stack Data Engineer

BioIntelliSense, Inc

. Develop and implement data pipelines and cloud-native applications .

Posted 9/18/2026full-timeRemote • United StatesMid-LevelSenior💰 $75,000 - $80,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and implementing data pipelines and cloud-native applications, with a strong focus on creating scalable REST APIs and maintaining automated ETL/ELT processes. Proficient in Python and SQL, with familiarity in cloud platforms and CI/CD practices to support clinical workflows.

Highest-signal resume keywords

Python ProgrammingSQL FundamentalsETL/ELT Pipeline DevelopmentCloud Platforms (AWS/GCP)CI/CD Pipeline Familiarity

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline DevelopmentCloud-Native Application DevelopmentREST API CreationData ValidationData Transformation

Soft Skills

Strong Communication SkillsCollaborative WorkIndependent WorkCapacity to Interpret Abstract InstructionsWillingness to Learn

Tools & Technologies

DatabricksTerraform

Industry Keywords

Clinical WorkflowsAutomated ETL/ELTData Quality Checks

Tech Stack

Tools & technologies

AWSCloudETLGoogle Cloud PlatformPythonSQLTerraform

About the role

Key responsibilities & impact

Develop and implement data pipelines and cloud-native applications
Create scalable REST APIs and web applications supporting clinical workflows and internal tools
Design and maintain automated ETL/ELT pipelines to ingest, clean, and transform clinical data
Implement data validation and quality checks for clinical workflows and reporting
Collaborate with technical leads, product, and cross-functional teams
Participate in the engineering on-call rotation to ensure service availability and uptime
Apply software development best practices through commercial deployment

Requirements

What you’ll need

Bachelor’s degree in Computer Science or Engineering
Experience developing software applications, including internships or academic projects
Strong written and oral communication skills
Ability to work independently and collaboratively
Strong capacity to interpret and execute abstract instructions
Willingness to learn and contribute to product improvements
Solid knowledge of Python
Solid understanding of SQL fundamentals, including joins and aggregating data from relational databases
Preferred: Familiarity with cloud platforms such as AWS/GCP
Preferred: Familiarity with ETL/ELT pipelines, data transformations, and platforms such as Databricks
Preferred: Familiarity with Terraform and CI/CD pipelines

Benefits

Comp & perks

Career growth tailored to individual goals