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Data Infrastructure Engineer

Worth AI is a leader in the computer software industry, revolutionizing decision-making with artificial intelligence.
Orlando, FL, USAAtlanta, GA, USATampa, FL, USA
Data
Senior Software Engineer
Remote
5+ years of experience
AI · Enterprise SaaS

Description For Data Infrastructure Engineer

Worth AI, a pioneering force in computer software, is seeking a Data Infrastructure Engineer to join their innovative team. This role is crucial for building and maintaining the foundational systems that power their data platform. The position offers a unique opportunity to shape the company's long-term data strategy while working with cutting-edge technologies and frameworks.

The ideal candidate will be responsible for designing, implementing, and optimizing scalable data infrastructure that supports analytics, data science, and product applications across the organization. The role requires expertise in modern data architectures, cloud platforms, and data orchestration tools, with a strong focus on automation and performance optimization.

Working at Worth AI means joining a company that values extreme ownership, teamwork, and creating raving fans both internally and externally. The company offers a comprehensive benefits package including health care, retirement plans, unlimited PTO, and flexible work arrangements. With locations across major cities in Florida and Georgia, plus remote work options, this position provides excellent work-life balance while contributing to meaningful technological advancement.

The role combines technical expertise with strategic thinking, requiring collaboration with various teams to ensure data accessibility, accuracy, and availability. This is an excellent opportunity for an experienced professional looking to make a significant impact in a company that's revolutionizing decision-making through artificial intelligence.

Last updated a month ago

Responsibilities For Data Infrastructure Engineer

  • Design, build, and maintain scalable and resilient data infrastructure in a cloud environment (AWS, Azure, or GCP)
  • Develop and maintain ETL/ELT pipelines using orchestration tools such as Airflow, Dagster, or dbt
  • Optimize data workflows for reliability, performance, and cost efficiency
  • Manage data lake and data warehouse environments
  • Ensure data security, privacy, and compliance
  • Collaborate with data scientists, analysts, and product teams
  • Support real-time and batch data processing frameworks
  • Monitor, troubleshoot, and improve the observability of data systems
  • Maintain CI/CD pipelines for data infrastructure

Requirements For Data Infrastructure Engineer

Python
Node.js
Kafka
Kubernetes
  • 5+ years of experience in data engineering, infrastructure engineering, or related field
  • Strong programming skills in Python, Node.js
  • Proficient in SQL and experience with distributed query engines
  • Experience with cloud-native data platforms such as AWS Glue
  • Hands-on experience with infrastructure-as-code tools
  • Familiarity with containerization and orchestration tools
  • Solid understanding of data governance, quality frameworks, and data lifecycle management
  • Ability to work in a fast-paced, collaborative environment
  • Experience in streaming data architecture and tools
  • Background in supporting machine learning or analytics platforms
  • Exposure to data mesh, data contracts, or modern data stack concepts
  • Knowledge of DevOps principles applied to data systems

Benefits For Data Infrastructure Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance
  • Unlimited Paid Time Off
  • 9 paid Holidays
  • Family Leave
  • Work From Home
  • Free Food & Snacks (Access to Industrious Co-working Membership!)
  • Wellness Resources

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