Data Infrastructure Engineer
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 in building and maintaining the foundational systems that power their data platform. The position offers a unique opportunity to work with cutting-edge technologies while contributing to the company's mission of revolutionizing decision-making through artificial intelligence.
The role demands expertise in modern data architectures, cloud platforms, and data orchestration tools. You'll be responsible for designing, implementing, and optimizing scalable data infrastructure that supports analytics, data science, and product applications across the organization. The position requires strong technical skills in Python, Node.js, SQL, and experience with cloud platforms like AWS, Azure, or GCP.
Worth AI values extreme ownership, teamwork, and creating raving fans both for employees and customers. They offer a comprehensive benefits package including health care, retirement plans, unlimited PTO, and flexible work arrangements. The company maintains a collaborative culture that emphasizes innovation and impact.
As a Data Infrastructure Engineer, you'll work closely with data scientists, analysts, and product teams, ensuring data accessibility, accuracy, and availability. You'll be involved in everything from ETL/ELT pipelines to real-time data processing, using tools like Kafka, Kubernetes, and various cloud services. This role offers significant growth potential and the chance to shape the company's long-term data strategy.
The ideal candidate should have 5+ years of relevant experience and be passionate about automation, performance tuning, and maintaining high-availability data services. If you're excited about working with cutting-edge data technologies and want to make a meaningful impact in the tech landscape, this role at Worth AI could be your next career move.
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
- 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
- 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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