Software Engineer – Data Workflows

Woven Planet

. Build and optimize end-to-end data workflows from collection to user-facing tools .

Posted 7/24/2026full-timeAnn Arbor • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing data workflows, developing APIs, and implementing testing strategies. Proficient in Python, SQL, and cloud computing, with strong communication skills to convey technical concepts effectively.

Highest-signal resume keywords

Python DevelopmentSQL Data Schema DesignCloud Computing (AWS, Azure, Google Cloud)Data Ingestion and ETL PipelinesMicroservice Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend Web ServicesData Pipeline DevelopmentAPI DevelopmentData ModelingAutomation PipelinesTesting StrategiesPerformance OptimizationInfrastructure as Code (Terraform)NoSQL Database SystemsTechnical Documentation

Soft Skills

Problem-SolvingDebuggingWritten CommunicationVerbal CommunicationCollaboration

Industry Keywords

AD/ADAS SystemsData Analytics ApplicationsCode ReviewsSoftware LifecycleUser Experience Optimization

Tech Stack

Tools & technologies

AWSAzureCloudDynamoDBETLNoSQLPythonSQLTerraform

About the role

Key responsibilities & impact

Build and optimize end-to-end data workflows from collection to user-facing tools
Create efficient data models and automation pipelines for AD/ADAS systems
Develop robust APIs to support data analytics applications
Implement comprehensive testing strategies to ensure application reliability
Communicate technical concepts and data findings effectively to non-technical team members and leadership
Collaborate closely with the Product team and internal customers to optimize workflows and user experience.
Work with other engineers to promote best practices, conduct code reviews, and ensure consistency and quality across the codebase
Write clear technical design documents and system documentation.
Deliver features through the full software lifecycle including requirements gathering, design, implementation, testing, documentation, release, and maintenance.

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
3+ years of professional software development experience in backend web services and data pipelines.
Technical Expertise
Experience with Python in a web and data context
Experience with SQL and data schema design.
Experience with data ingestion and ETL pipelines.
At least 1 year experience with cloud computing (AWS, Microsoft Azure, or Google Cloud)
Familiarity with NoSQL database systems such as DynamoDB.
Soft Skills
Strong problem-solving and debugging capabilities.
Strong written and verbal communication skills, including technical designs and documentation.
Preferred Qualifications
Experience with microservice and serverless cloud architectures.
Experience with performance optimization techniques in various database systems.
Experience with infrastructure as code (e.g., Terraform).

Benefits

Comp & perks

Excellent health, wellness, dental and vision coverage
A rewarding 401k program
Flexible vacation policy
Family planning and care benefits