Data Engineer
K1X
full-time
Posted on:
Location Type: Remote
Location: Illinois • United States
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About the role
- 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
- 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.
- An 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
- Unlimited Vacation Policy + Sick Time + Holidays
- Paid Parental Leave
- Fully Remote Opportunity
- Healthcare Benefits and 401K
- Growing Startup Culture
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architectureETLELTdata processingdata qualitySQLrelational data modelingmachine learningdata pipelinesdata lakehouse
Soft Skills
communicationcollaborationengineering mindsetproblem-solvingadaptabilitypassion for dataanalytical thinkingattention to detailtime managementbalancing delivery and architecture