Data Engineer

Data Engineer (Remote – U.S.)

Location: Fully Remote

Preferred Regions: Midwest U.S. (Indianapolis, IN or Chicago, IL area preferred)

About the Opportunity

A fast-growing technology company specializing in financial data automation and analytics is seeking a Data Engineer to help design and scale the data infrastructure powering its next-generation platform.

The company develops innovative software that transforms how complex financial and tax-related investment data is extracted, validated, distributed, and analyzed. As the platform expands into advanced analytics, artificial intelligence (AI), and machine learning, data engineering plays a critical role in enabling scalable, high-quality data systems.

This is an excellent opportunity for a Data Engineer with strong cloud and pipeline development experience who wants to work on modern data architecture and help power data-driven product innovation.

Data Engineer Responsibilities

• Design, build, and maintain scalable data pipelines and data architecture supporting operational systems, analytics, and machine learning workloads.
• Develop and manage ETL/ELT data pipelines for large-scale data processing and ingestion.
• Support the evolution of a modern data lakehouse architecture, including implementation and optimization of Snowflake.
• Implement data quality checks, validation frameworks, and monitoring systems to ensure reliable and accurate datasets.
• Build clean, structured datasets that enable machine learning models, predictive analytics, and AI-driven product features.
• Support business intelligence and reporting initiatives using Power BI and other analytics tools.
• Collaborate cross-functionally with product managers, software engineers, data scientists, and AI teams to deliver scalable data solutions.
• Optimize cloud-based data infrastructure to support performance, reliability, and long-term scalability.

Required Qualifications

• 4–8+ years of experience in Data Engineering, Backend Engineering, or a similar data-focused role.
• Strong experience designing and maintaining data pipelines and ETL/ELT workflows.
• Advanced SQL skills and experience with relational data modeling.
• Experience working with cloud data platforms (Azure preferred).
• Knowledge of data reliability, observability, and data quality frameworks.
• Strong communication and collaboration skills in cross-functional engineering environments.

Preferred Experience

• Experience with Snowflake, Azure, SQL Server, and Power BI.
• Familiarity with data lakehouse architecture and modern data platforms.
• Experience supporting machine learning pipelines or AI-enabled applications.
• Ability to balance short-term delivery with long-term data architecture strategy.

Ideal Candidate

The ideal candidate is a data-focused engineer who enjoys building scalable, reliable data infrastructure that powers analytics, machine learning, and data-driven products. You bring an engineering mindset to data platforms, and you are passionate about creating systems that enable smarter insights and automation.

Benefits & Perks

• Fully Remote Work Environment (U.S.)
• Unlimited PTO + Sick Time + Paid Holidays
• Paid Parental Leave
• Comprehensive Health, Dental, and Vision Insurance
• 401(k) Retirement Plan