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Principal Data Engineer

3 months, 3 weeks ago
United States
Full-time
Lead
Data Engineer
Software Development
Apache Airflow Apache Spark AWS Docker IoT Machine Learning Node.js Python RabbitMQ SQL
Apply Now
Tenna

Tenna

Tenna is the construction technology platform that revolutionizes equipment fleet operations, offering contractors a total equipment management solution to make informed decisions, increase utilization, and enhance productivity.

Construction & Engineering
51-250
Founded 2015
View All Jobs 16

Description

  • Own organizational-wide data architecture by defining standards, patterns, and designs for engineering teams to implement.
  • Review data-related designs and implementations for architectural consistency, performance, and scalability.
  • Solve complex and ambiguous data engineering challenges and provide hands-on guidance when needed.
  • Produce reference implementations and proofs of concept to help teams address difficult data problems.
  • Design and develop data pipelines, integrations, and platform features with a focus on performance and scalability.
  • Build and maintain data APIs and high-volume ingestion systems.
  • Own data quality across the organization, including testing strategies and data integrity standards.
  • Consult with product managers to define, scope, and plan new data features and capabilities.
  • Partner with the CTO and engineering leadership on strategic data initiatives and long-term architectural direction.
  • Design IoT data ingestion and distribution architecture for replayability, aggregation, and real-time distribution.
  • Evaluate and recommend technologies to improve the overall data infrastructure.
  • Support AI/ML data infrastructure, including model training pipelines, feature stores, and inference data flows.
  • Produce clear and thorough documentation.

Requirements

  • 12+ years of professional data engineering or software development experience.
  • At least 2+ years of experience providing architectural direction and design oversight to engineering teams.
  • Excellent communication skills.
  • Experience setting data architecture standards and providing technical oversight across multiple engineering teams.
  • Bachelor of Science in Computer Science, Data Engineering, or equivalent experience.
  • Strong fundamentals in computer science, data architecture, and distributed systems.
  • Substantial experience with SQL; NoSQL experience is a plus.
  • Experience with Python for data engineering workflows; Node.js experience is a plus.
  • Experience with distributed data processing frameworks such as Apache Spark 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 Docker, is highly preferred.
  • Experience with large-scale data systems and data warehousing solutions is highly preferred.
  • In-depth knowledge of the open source data ecosystem and how to apply it to scalable solutions.
  • Experience with message queueing architectures, especially RabbitMQ, is preferred.
  • Experience with Amazon Web Services, especially S3, RDS, DMS, and VPC; Redshift or EMR experience is a plus.
  • Experience working with AI/ML systems and supporting model training or inference pipelines is a plus.
  • Experience designing data architectures for IoT or high-frequency telemetry systems is highly preferred.
  • Travel availability of 8-10%.

Benefits

  • Remote nationwide full-time role.
  • Robust, low-cost benefits package.
  • Benefit coverage begins on the first date of employment.
  • Paid Time Off and Volunteer Time Off.
  • 401(k) match.
  • Dependent Care benefits.
  • Employee referral bonuses.
  • Opportunities for growth and personal development within a dynamic team.

Interested in this position?

Apply directly on the company website

Apply Now

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