Data Engineer

NinjaHoldings

Data Engineer building SQL, Python, and AWS pipelines for NinjaHoldings’ digital banking, lending, and analytics products. Extending machine-learning infrastructure and mentoring junior engineers.

Posted 9/10/2026full-timeRemote • Illinois • 🇺🇸 United StatesMid-LevelSenior💰 $100,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing data pipelines and architectures using SQL and Python, while effectively mentoring junior team members and collaborating with cross-functional teams. Proficient in AWS cloud services and data transformation processes to support analytics and data science initiatives.

Highest-signal resume keywords

Data Pipeline ArchitectureSQL Query AuthoringAWS Cloud ServicesMentoring Junior EngineersProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData Pipeline DevelopmentData TransformationObject-Oriented DesignTest-Driven DesignMessage QueuingStream ProcessingRelational DatabasesData Structures

Soft Skills

Project ManagementOrganizational SkillsIndependent WorkTeam CollaborationMentoring

Tools & Technologies

PostgresMySQLAWS EC2AWS RDSAWS RedshiftAWS GlueAWS S3Data Workflow Management Tools

Industry Keywords

Data EngineeringAnalyticsData ScienceData ArchitectureCross-Functional Teams

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudEC2MySQLPostgresPythonSQL

About the role

Key responsibilities & impact

Supervise junior members of the data engineering team, including guiding, planning, and reviewing the team's work
Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet functional and non-functional business requirements
Extend the machine learning platform by designing tools that interface with cloud services and the existing codebase
Build infrastructure for extracting, transforming, and loading data from a wide variety of sources using SQL, Python, and AWS
Build analytics tools that provide actionable insights into key business performance metrics
Support the needs of the analytics team
Create data-handling tools for analytics and data science team members
Interface with the Development team to create cross-team solutions
Optimize or redesign the company’s data architecture for next-generation products and data initiatives
Mentor and guide junior team members

Requirements

What you’ll need

3+ years of experience in a Data Engineer role
Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
Advanced working SQL knowledge and experience with relational databases, including Postgres and MySQL
Experience with SQL query authoring
Familiarity with a variety of databases
Experience building data pipelines, architectures, and data sets from raw, loosely structured data
Experience with test-driven design and results for repeatable and maintainable processes and tools
Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management
Working knowledge of message queuing, stream processing, and highly scalable data stores
Strong project management and organizational skills
Ability to work independently in a fast-paced, quickly changing environment
Ability to manage several projects simultaneously and understand their impact within a larger system
Experience supporting and working with cross-functional teams in a dynamic environment
Experience managing junior engineers and guiding a team through project planning, execution, and quality control
Experience with object-oriented design in Python
Experience with data pipeline and workflow management tools
Experience with AWS cloud services: EC2, RDS, Redshift, Glue, S3

Benefits

Comp & perks

Competitive salary and benefits package
Flexible, remote work
Fun, fast-paced work environment
Dynamic start-up culture
Ability to make an immediate impact in a growth stage company
Convenient downtown Chicago office located in the heart of the city