Principal Data Engineer

6 days ago

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Logo of Hypergiant

Hypergiant

Hypergiant is an Accelint company specializing in AI-enabled decision-making software designed to streamline the journey from data to decisions for sectors such as space, defense, and critical infrastructure. With a focus on creating powerful data visualization products, Hypergiant empowers customers to understand complex environments and make rapid, informed decisions. The company works with leading Fortune 500 corporations and government agencies to deliver AI solutions at scale. Their products and services include solutions for robotic process automation, intelligent operating platforms for the military, and supply chain optimization. Hypergiant is dedicated to harnessing AI to ensure global safety, security, and prosperity, building technologies for the most innovative brands worldwide.

51 - 200 employees

πŸ€– Artificial Intelligence

🏒 Enterprise

πŸ’° Corporate Round on 2019-06

Description

β€’ Develop and continuously improve a data service that underpins cloud-based applications β€’ Support data and database modeling efforts β€’ Contribute to the development and maintenance of reusable component libraries and shared codebase β€’ Participate in the entire software development lifecycle, including requirement gathering, design, development, testing, and deployment, using an agile, iterative process β€’ Collaborate with developers, designers, testers, project managers, product owners, and project sponsors to integrate the data service to end user applications β€’ Communicate tasking estimation and progress regularly to a development lead and product owner through appropriate tools β€’ Ensure seamless integration between database and messaging systems and the frontend / UI they support β€’ Ensure data quality, reliability, and performance through code reviews and effective testing strategies β€’ Write high-quality code, applying best practices, coding standards, and design patterns β€’ Team with other developers, fostering a culture of continuous learning and professional growth

Requirements

β€’ 15+ years of professional software development or data engineering experience (12+ with a STEM B.S. or 10+ with a relevant Master's degree) β€’ Strong proficiency in Python and familiarity with Java and Bash scripting β€’ Hands-on experience implementing database technologies, messaging systems, and stream computing software (e.g., PostgreSQL, PostGIS, MongoDB, DuckDB, KsqlDB, RabbitMQ) β€’ Experience with data fabric development using publish-subscribe models (e.g., Apache NiFi, Apache Pulsar, Apache Kafka and Kafka-based data service architecture) β€’ Proficiency with containerization technologies (e.g., Docker, Docker-Compose, RKE2, Kubernetes, and Microk8s) β€’ Experience with version control systems (e.g., Git), CI/CD tools (e.g., Jenkins), and collaborative development workflows β€’ Strong knowledge of data modeling and database optimization techniques β€’ Familiarity with data serialization languages (e.g., JSON, GeoJSON, YAML, XML) β€’ Excellent problem-solving and analytical skills that have been applied to high visibility, important data engineering projects β€’ Strong communication skills and ability to lead the work of other engineers in a collaborative environment β€’ Demonstrated experience in coordinating team activities, setting priorities, and managing tasks to ensure balanced workloads and effective team performance β€’ Experience managing and mentoring development teams in an Agile environment β€’ Ability to make effective architecture decisions and document them clearly β€’ Must be a US Citizen and eligible to obtain and maintain a US Security Clearance

Benefits

β€’ Unlimited Paid Time Off β€’ 14 Paid Company Holidays β€’ Paid Maternity/Paternity Leave β€’ Flexible Work Environment with Remote Options β€’ Medical, Dental & Vision Insurance β€’ Optional HSA and FSA β€’ Complimentary Life Insurance β€’ Personal & Professional Development Reimbursement β€’ Short Term & Long Term Disability Insurance β€’ 401k with Matching β€’ Diversity & Inclusion Workplace Initiatives

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πŸ‡ΊπŸ‡Έ United States – Remote

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