Senior Data Engineer

Position Title: Senior Data Engineer
Location: Remote (US Only) Experience Level: 5+ years
Type: Full-time
Salary: $160,000-$190,000 Equity: Competitive Token Grants

Position Overview

Our client is seeking a highly skilled Data Engineer with a strong background in developing algorithms for ETL (Extract, Transfer, Load), data parsing, categorization, and labeling/tagging across multiple data types—including structured and unstructured sources like images, audio, video, and natural language. This role is ideal for someone with a deep interest in data infrastructure, federated and edge computing, and ontology architecture, and who thrives in a fast-paced, collaborative environment.

Key Responsibilities

• Design, build, and maintain robust ETL pipelines that support high-volume, multi-type data ingestion and transformation.

• Develop and optimize parsing and tagging algorithms—both rule-based and AI-driven—for numeric, categorical, tabular, visual, and natural language data.

• Collaborate on the design and implementation of data ontologies and metadata structures to enable scalable and intelligent data systems.

• Work closely with cross-functional teams to support federated and edge computing data strategies.

• Maintain clean, well-documented, and efficient code and contribute to internal repositories and documentation.

• Communicate technical decisions and trade-offs effectively with both technical and non-technical stakeholders.

Qualifications

• 5+ years of experience as a Data Engineer with a focus on ETL and parsing systems.

• Bachelor’s degree in Data Engineering, Data Science, Computer Science, or equivalent hands-on experience (certifications, open-source contributions, GitHub projects).

• Experience working with diverse data types (e.g., structured tables, time series, images, audio, video, and text).

• Excellent technical communication skills, both written and verbal.

• Strong problem-solving skills and the ability to contribute to a high-velocity team environment.

• Prior experience with Databricks or a similar cloud-based data platform.

• Master’s degree in Data Science, Computer Science, or a related field.

• Proven innovation in ETL workflows, parsing methods, or data ontology frameworks.

• Demonstrated work in federated/edge computing scenarios or semantic web technologies.