Data Engineer

K1X

Data Engineer building scalable pipelines and lakehouse infrastructure for K1x’s digital K-1 tax platform. Enabling machine learning, reporting, and analytics through reliable data systems.

Posted 8/10/2026full-timeRemote • Illinois • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and maintaining scalable data architectures, with a strong focus on building robust ETL/ELT pipelines and ensuring data quality for analytics and machine learning workflows. Proficient in leveraging cloud-based data platforms, particularly Azure, and tools like Snowflake and Power BI to support data-driven decision-making.

Highest-signal resume keywords

Data EngineeringETL/ELT WorkflowsSQL ProficiencyCloud-Based Data PlatformsData Quality Monitoring

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 Architecture DesignETL/ELT Pipeline DevelopmentSQLRelational Data ModelingData Quality ChecksMachine Learning WorkflowsData ProcessingData ValidationData Monitoring

Soft Skills

Strong CommunicationCollaboration Skills

Tools & Technologies

SnowflakeAzurePower BISQL Server

Industry Keywords

Data Lakehouse StrategyAnalytics Use CasesOperational WorkloadsAnalytical WorkloadsML Workloads

Tech Stack

Tools & technologies

AzureCloudETLSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable data architectures supporting operational, analytical, and ML workloads
Contribute to the evolution of K1x’s data lakehouse strategy, including adoption of Snowflake
Develop and maintain robust ETL/ELT pipelines for large-scale data processing
Implement data quality checks, validation, and monitoring
Enable machine learning workflows with clean, well-structured datasets
Support analytics and reporting use cases including Power BI
Partner with Product, Engineering, and AI teams on data solutions

Requirements

What you’ll need

4–8+ years of experience in data engineering or backend engineering with a data focus
Strong experience building data pipelines and ETL/ELT workflows
Proficiency with SQL and relational data modeling
Experience with cloud-based data platforms, Azure preferred
Understanding of data quality, reliability, and monitoring
Strong communication and collaboration skills
Engineering mindset applied to data platforms
Passion for building scalable, reliable data foundations
Interest in enabling ML and analytics-driven products
Experience or familiarity with Snowflake, SQL Server, Azure, and Power BI
Comfort balancing near-term delivery with long-term architecture

Benefits

Comp & perks

Unlimited Vacation Policy + Sick Time + Holidays
Paid Parental Leave
Fully Remote Opportunity
Healthcare Benefits and 401K
Growing Startup Culture