hatch I.T. is partnering with Via to find a Senior Data Engineer. See details below:
About the Role:
An impressive mission requires an equally impressive Senior Data Engineer.
As a Senior Data Engineer at VIA, you will play a pivotal role in the growth of their solutions.
You will build the foundation that empowers their customers to harness AI for human-centric, data-driven decision-making. You will work cross-functionally with a high-performing team of data professionals, developers, DevOps, and Client Delivery specialists who are already pushing the boundaries of what’s possible with AI.
Individuals who excel in this role are motivated by solving complex data accessibility challenges, holding a high bar for data quality and availability, and improving performance.
About the Company:
At VIA, their mission is to make communities cleaner, safer, and more equitable. VIA believes that by working across organizational boundaries, they can achieve greater collective good than they can individually. VIA overcomes digital barriers to collective action by providing the world’s most secure and simple data and identity protection solutions.
VIA is trusted by the U.S. Department of Defense and Fortune 100 companies around the globe to solve their toughest data and identity protection challenges. Using their Web3, quantum-resistant, passwordless technologies (19 issued patents), VIA protects data against theft, manipulation, and misuse.
Responsibilities:
Design and implement robust, cloud-based data storage solutions, optimizing schemas for multi-tenant environments while ensuring data accessibility and security and a high standard of trust and transparencyDevelop, deploy, and maintain resilient ETL/ELT pipelines for both real-time streaming and batch processing, ensuring seamless data flow from raw ingestion to production-ready applicationsBuild and manage data access layers, including REST APIs and streaming services, to empower downstream usersDrive data governance and best practices: Contribute across teams to recommend tools, processes, and best practices for maintaining data health, integrity, and securitySupport AI operations (MLOps) by managing versioning, containerization, and deployment of AI modelsBuild monitoring and alerting systems to track data health and system performance, proactively identifying and remediating bottlenecks
Qualifications:
Bachelor’s degree or higher in Computer Science, Engineering, or Data Science 5+ years of professional experience in data engineering or a related roleA strong foundation in Python (or equivalent), including testing frameworks (e.g., pytest) and ORMs (e.g., SQLAlchemy) You understand modularity and how to define clear scopes and responsibilities within a large codebaseProven experience architecting scalable relational and non-relational (SQL/noSQL) schemas You manage the end-to-end database lifecycle, from initial design to production maintenanceExpertise in maximizing system performance through advanced query tuning, strategic indexing, and execution plan analysis to eliminate technical bottlenecksExperience with one or more cloud-based databases (e.g., AWS RDS, Azure Database)You are comfortable configuring compute resources, backups, and geolocation requirementsExperience building resilient pipelines using frameworks such as Dagster or Apache Airflow You have a track record of maintaining data health for both real-time streaming and batch processingA strong understanding of how data infrastructure integrates into the broader application architectureExperience with modern software development practices, including version control (Git), CI/CD pipelines, and a commitment to high-quality, maintainable code
Preferred Qualifications:
Experience working with streaming data (e.g., Kafka) or running data models on the edge (e.g., Raspberry Pi, IoT devices)Familiarity with containerization and orchestration tools such as Docker and KubernetesExperience architecting and consuming scalable RESTful APIs using standardized design principles and robust authentication protocolsFamiliarity with blockchain data indexing or privacy-preserving data processing techniquesExperience mentoring junior engineers or leading technical projects within a high-performing team
What does it take to be a successful VIAneer? Let’s break it down, VIAneers are:
Self-motivated and passionate about leaving everything they touch better than how they found itFirm believers that people should love what they do and are eager to build a culture that enables them to do their best workCreative problem solvers who respectfully challenge the status quo in the pursuit of excellencePeople who lead discussions with curiosity and value diverse perspectivesEager to explore new ideas, understand the power of feedback, and constantly seek opportunities to grow and develop their skillsStrong team players who thrive in collaborative environments and celebrate the success of others