Senior Data Platform Engineer

Codevertex Innovations; Northern (KY); Hybrid; USD 140,000 - 200,000; Full time

Job summary

CodeVertex Innovations is seeking a Senior Data Platform Engineer to design scalable data pipelines, transformation layers, warehouse models, and analytics infrastructure. You will turn business needs into reliable execution across analysis, systems work, documentation, and process ownership.

Responsibilities span from discovery through testing and handoff, with cross-functional collaboration across finance, product, analytics, and leadership.

Qualifications

• 4+ years of relevant professional experience.
• Strong practical experience with Data Engineering, SQL, Python, Snowflake, BigQuery.
• Ability to work remotely with ownership, judgement, and clear written communication.
• Comfortable working in documentation-heavy technical or business environments.
• Strong problem-solving ability and professional judgment.

Responsibilities

• Own meaningful workstreams from discovery through execution, documentation, testing, and handoff.
• Translate business needs into practical analysis, systems work, operating procedures, or technical execution plans.
• Maintain high standards for written communication, documentation quality, and process clarity.
• Use evidence, structure, and judgment to improve quality, reliability, and decision-making.
• Handle confidential internal information with appropriate professionalism and care.

Skills

Data Engineering

SQL

Python

Snowflake

BigQuery

Job description

Design scalable data pipelines, transformation layers, warehouse models, and analytics infrastructure.

CodeVertex works across data-heavy and process-heavy business environments where reporting accuracy, workflow visibility, secure systems, and operational clarity matter. The Senior Data Platform Engineer role helps turn business needs into reliable execution, whether through analysis, systems work, documentation, technical delivery, or process ownership.

What you will work on

• Business or technical workflows connected to finance, SaaS, e-commerce, AI, data, or internal operations.
• Structured analysis, documentation, systems improvement, or platform work depending on role scope.
• Cross-functional requests from engineering, analytics, product, finance, operations, or leadership stakeholders.
• Work that requires clear communication, accuracy, and reliable follow-through in a remote environment.

Responsibilities

• Own meaningful workstreams from discovery through execution, documentation, testing, and handoff.
• Translate business needs into practical analysis, systems work, operating procedures, or technical execution plans.
• Maintain high standards for written communication, documentation quality, and process clarity.
• Use evidence, structure, and judgment to improve quality, reliability, and decision-making.
• Handle confidential internal information with appropriate professionalism and care.

Required qualifications

• 4+ years of relevant professional experience.
• Strong practical experience with Data Engineering, SQL, Python, Snowflake, BigQuery.
• Ability to work remotely with ownership, judgment, and clear written communication.
• Comfortable working in documentation-heavy technical or business environments.
• Strong problem-solving ability and professional judgment.

Preferred qualifications

• Experience supporting finance, SaaS, e-commerce, AI, analytics, cloud, or process-heavy business environments.
• Experience working with distributed teams and asynchronous workflows.
• Ability to document process clearly and work well across multiple stakeholder groups.

Compensation and benefits

• Base salary range: $140,000 – $200,000 annually
• Cross-functional exposure across business and technical teams
• Structured, documentation-focused operating environment