Data Engineer
6 - 10 years
Indianapolis, IN
Full-time
Remote
1 month ago
About the role
We are K1x. Our platform powers the first fully digital K-1, transforming how alternative investment tax data is extracted, validated, distributed, and analyzed. Trusted by leading institutional investors, fund administrators, and accounting firms, K1x replaces manual, error-prone workflows with scalable, intelligent software. k1x.io
As our platform evolves toward deeper analytics, insights, and AI-driven capabilities, data engineering is becoming a foundational pillar of our product and technology strategy.
About The Role
We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product features.
This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be responsible for creating reliable, scalable, and high-quality data systems that enable downstream ML models, reporting, and embedded analytics.
What You'll Do
Requirements
Who You Are
It's Truly a Match If You Have
Benefits
As our platform evolves toward deeper analytics, insights, and AI-driven capabilities, data engineering is becoming a foundational pillar of our product and technology strategy.
About The Role
We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product features.
This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be responsible for creating reliable, scalable, and high-quality data systems that enable downstream ML models, reporting, and embedded analytics.
What You'll Do
- 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
Who You Are
- 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
It's Truly a Match If You Have
- 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
Skills
EngineeringIT Services and IT Consulting