Principal Data Engineer

November 14

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Hypergiant

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💰 Corporate Round on 2019-06

Description

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

Requirements

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

Benefits

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