Senior Data Engineer: Lakehouse Pipelines (Remote)

Midwest Startups; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

RSUs

401(k) with match

Medical plan

Dental & Vision

Life insurance

Short-term disability

Mental health resources

Flexible PTO

Parental leave

Job summary

Kin is hiring a Senior Data Engineer to turn raw data into trusted, well-modeled datasets powering reporting and decision-making. You’ll own the modeling layer between sources and analytics teams, collaborating with App Engineering and downstream stakeholders across Finance, Marketing, and Product.

You’ll build scalable pipelines, enforce QA, and mentor peers while aligning with privacy regulations and security controls. This role offers a remote-first environment and strong growth opportunities.

Qualifications

• 4+ years in data engineering, analytics engineering, or dimensional modeling roles.
• Advanced SQL skills across multiple sources to create scalable warehouses or lakehouses.
• Proficiency in Python (Pandas, NumPy) for data transformation and pipeline development.
• Expertise in dimensional modeling, ELT workflows, and modern data architecture patterns.
• Proven ability to model raw, complex data into analytics-ready datasets.
• Experience with Databricks, Snowflake, or Redshift.
• Excellent written and verbal communication with non-technical stakeholders.

Responsibilities

• Design and build scalable, production-grade data pipelines and data models to power downstream analytics and enterprise reporting.
• Implement and enforce data validation, testing, and QA standards across data models to ensure accuracy and reliability.
• Partner with App Engineering to understand source systems and define how raw data should be captured and modeled downstream.
• Collaborate with Analytics Engineering, BI, and business stakeholders to translate ambiguous reporting needs into scalable datasets.
• Ensure data models comply with data security and privacy regulations (GDPR, CCPA, GLBA) through access controls and monitoring.
• Mentor other data engineers on modeling best practices, documentation, and data processing patterns.
• Leverage AI-assisted development tools to improve engineering efficiency, code quality, and observability.

Skills

Advanced SQL

Python (Pandas/NumPy)

Dimensional modeling

ELT / data warehouse design

Data validation & QA

Stakeholder communication

Tools

Databricks

Snowflake

Redshift

Job description

Kin is hiring a Senior Data Engineer to turn raw data into trusted, well-modeled datasets powering reporting and decision-making. You’ll own the modeling layer between sources and analytics teams, collaborating with App Engineering and downstream stakeholders across Finance, Marketing, and Product.

You’ll build scalable pipelines, enforce QA, and mentor peers while aligning with privacy regulations and security controls. This role offers a remote-first environment and strong growth opportunities.