
Job Overview
Location
Indiana, USA
Job Type
Full-time
Category
Data Engineer
Date Posted
February 26, 2026
Full Job Description
đź“‹ Description
- • Join Farseer Inc. as a Senior Data Engineer and play a pivotal role in constructing the foundational data platform for our revolutionary enterprise software stack. Farseer is on a mission to redefine how businesses operate by building an AI-native core that will serve as the underlying database and operating system for critical applications, starting with finance and expanding across the entire operational spectrum. Our vision is to empower humans to build enterprise software with AI, creating intuitive, fast, and user-friendly tools that solve real business problems, transforming finance teams into proactive strategists and eventually rebuilding the entire enterprise nervous system.
- • In this greenfield opportunity, you will be instrumental in shaping our data platform from the ground up. This is not about maintaining existing infrastructure; it's about architecting and building a scalable, robust system that will power Farseer's future growth. You will focus on two key areas: building data pipelines for real customers and contributing to the development of the data platform itself.
- • For customer implementations, you will be responsible for extracting data from diverse sources including ERP systems, databases, APIs, and spreadsheets. You will meticulously transform and validate this data, ensuring its accuracy and integrity before it enters Farseer's sophisticated calculation engine. A critical part of this process involves generating UAT reports that demonstrate the precise alignment of data with its source systems. You will collaborate directly with client finance and IT teams, gaining a deep understanding of their unique data landscapes and requirements. Each successful implementation will not only serve our clients but also contribute to the platform's evolution, making subsequent integrations faster and more efficient.
- • Concurrently, you will contribute to the core data platform architecture and development. This involves designing and building the infrastructure that enables scalability and reliability. Key components you will help develop include declarative pipeline definitions, robust schema validation mechanisms, a reusable connector library, efficient orchestration systems, comprehensive freshness monitoring, proactive alerting, and eventually, a customer-facing user interface for monitoring dataset health. This is a chance to make an outsized impact on a small, growing team, influencing the direction and technical choices of a critical platform.
- • You will leverage your expertise to tackle complex data challenges, ensuring that Farseer's data infrastructure is not only functional but also a competitive advantage. This role demands a proactive approach to problem-solving, a keen eye for detail, and a passion for building high-quality, scalable systems. You will be at the forefront of innovation, using cutting-edge technologies and methodologies to create a data platform that is both powerful and user-friendly.
- • The ideal candidate thrives in an environment where they can build, iterate, and innovate. You will have the autonomy to explore new solutions and the responsibility to see them through to production. Your work will directly impact the success of our clients and the trajectory of Farseer. If you are energized by the prospect of building something new, solving challenging problems, and working with a talented team dedicated to transforming enterprise software, this role is for you. We are looking for individuals who are not afraid to ask 'why' and are driven to find the best possible solutions, contributing to a culture of continuous improvement and technical excellence. Your contributions will be essential in establishing Farseer as the leader in AI-native enterprise software.
🎯 Requirements
- • Production-quality Python development experience.
- • Meaningful experience building data pipelines or data platform infrastructure (extraction, transformation, validation, loading).
- • Comfort working directly with clients to understand systems, discuss data requirements, and present results.
- • Understanding of the data platform problem space, including orchestration (e.g., Dagster, Prefect, Airflow), extraction frameworks (e.g., DLT, Airbyte, Fivetran), data validation (e.g., Great Expectations, Soda), and columnar formats (e.g., Parquet, DuckDB, Arrow).
- • Experience navigating cloud infrastructure (GCP, AWS) and running systems in production (monitoring, alerting, debugging).
- • Familiarity with using AI tools (e.g., LLMs) to enhance productivity in coding, debugging, or prototyping.
🏖️ Benefits
- • Competitive salary and equity package.
- • Comprehensive health, dental, and vision insurance.
- • Generous paid time off and holidays.
- • Opportunity to work remotely.
- • Significant impact on a foundational product in a fast-growing startup.
- • Professional development and learning opportunities.
Skills & Technologies
About Farseer Inc.
Farseer is a technology company focused on developing advanced AI solutions for the financial industry. Their platform leverages machine learning and data analytics to provide predictive insights and automate complex financial processes. Farseer aims to empower financial institutions, including hedge funds, asset managers, and investment banks, with tools to enhance trading strategies, optimize risk management, and improve operational efficiency. By offering a sophisticated yet accessible suite of AI-driven products, Farseer is positioned to transform how financial markets operate, enabling clients to gain a competitive edge through data-driven decision-making and intelligent automation.
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