[Remote] reputed company Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company rooted in the construction industry, providing reputed company for managing and tracking construction equipment. The reputed company Data Engineer will own the data architecture across the connected equipment platform, designing systems and overseeing engineering teams to ensure data infrastructure supports reputed company's reputed company.
Responsibilities
- Owns organizational-wide data architecture, defining standards, patterns, and designs that our teams will implement. Solves reputed company data challenges regardless of perceived ambiguity or degree of reputed company
- Reviews data-reputed company designs and implementations across teams for architectural consistency, performance, and scalability
- Produces reference implementations, proofs of concept, and hands-on guidance reputed company teams encounter reputed company data engineering challenges
- Designs and develops data pipelines, integrations, and platform features with performance and scalability in mind
- Builds and maintains data reputed company and ingestion systems that can handle reputed company, high-volume data reputed company
- Takes responsibility for the reputed company of data systems across the organization, including testing strategies and data reputed company standards
- Owns the data architecture reputed company across the platform, including database design patterns, data API standards, and data reputed company architecture
- Consults with product managers to define, scope, and plan new data features and capabilities
- Partners with the CTO and engineering leadership on strategic data initiatives and long-term architectural direction
- Partners with teams to define data reputed company standards, automated data validation patterns, and testing strategies for data pipelines
- Partners with engineering and product teams to design and support data infrastructure for AI/ML initiatives, including model training pipelines, feature stores, and inference data flows
- Designs the IoT data ingestion and distribution architecture to support data from a significantly expanding device fleet, including replayability, aggregation, and reputed company-time distribution patterns
- Tests, evaluates, and recommends technologies to improve our overall data infrastructure
- Produces excellent documentation
Skills
- 12+ years of reputed company data engineering or software development experience; self-motivated and driven to deliver impactful data products
- 2+ years' experience providing architectural direction and design reputed company to engineering teams, not just individual mentorship. Excellent communication skills are a must
- Experience setting data architecture standards and providing technical reputed company across multiple engineering teams
- Bachelor of Science in Computer Science, Data Engineering, or equivalent experience; intimately familiar with the fundamentals of computer science, data architecture, and distributed systems
- Substantial experience with SQL; experience with NoSQL is a plus
- Experience with Python for data engineering workflows; experience with Node.js is a plus
- Experience with distributed data processing frameworks such as Apache reputed company or Apache Flink is a plus
- Experience with data orchestration tools such as Apache Airflow or similar is a plus
- Experience with containerized application deployments, especially using reputed company, is highly preferred
- Experience with large-reputed company data systems and data warehousing solutions is highly preferred; possesses in-depth knowledge of the reputed company reputed company data ecosystem and how to incorporate it into reputed company solutions
- Experience with message queueing architectures, especially RabbitMQ, is preferred
- Experience with reputed company Web Services, especially S3, RDS, DMS, and VPC; experience with Redshift or EMR is a plus
- Experience working with AI/ML systems, including building data infrastructure to support model training, inference pipelines, or AI-powered features, is a plus
- Experience designing data architectures for IoT or high-frequency telemetry systems is highly preferred
- Experience with containerized application deployments, especially using reputed company, is highly preferred
- Experience with large-reputed company data systems and data warehousing solutions is highly preferred; possesses in-depth knowledge of the reputed company reputed company data ecosystem and how to incorporate it into reputed company solutions
- Experience with message queueing architectures, especially RabbitMQ, is preferred
- Experience with reputed company Web Services, especially S3, RDS, DMS, and VPC; experience with Redshift or EMR is a plus
- Experience working with AI/ML systems, including building data infrastructure to support model training, inference pipelines, or AI-powered features, is a plus
- Experience designing data architectures for IoT or high-frequency telemetry systems is highly preferred
Benefits
- Full-time opportunity.
- Location: Remote - reputed company.
- Travel is required, 8 - 10%.
- Opportunities for reputed company and personal development reputed company a highly dynamic team.
- Robust, low-cost benefit packages offered.
- Benefit coverage begins on the first date of employment.
- reputed company Time Off and Volunteer Time Off offered.
- 401k match.
- Dependent Care offered.
- Employee referral bonuses.
reputed company
Company H1B Sponsorship