4 дня назад
Staff Data Engineer (AWS/Python)
170 000 - 220 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff Data Engineer (AWS/Python): Building high-throughput batch and real-time streaming infrastructure, data lakehouse systems, and database platforms for telemetry from millions of connected homes with an accent on scalability, fault tolerance, and data quality. Focus on architecting virtual power plant data systems, optimizing Redshift and PostgreSQL, and leading technical standards across engineering teams.
Location: United States; fully remote within the U.S.
Salary: $170,000–$220,000 annual base salary, plus a target annual bonus of 15% and long-term incentive eligibility.
Company
develops residential energy-management solutions supporting a large virtual power plant across North America.
What you will do
- Define the long-term data architecture vision, roadmap, and design standards for the virtual power plant ecosystem.
- Design and implement fault-tolerant batch and real-time streaming infrastructure processing telemetry from millions of connected devices.
- Collaborate with application and analytics engineering teams on architecture and delivery.
- Lead database architecture and performance tuning across PostgreSQL Aurora, AWS Redshift, and query engines.
- Set standards for data pipelines, monitoring, data quality, uptime, infrastructure management, and on-call support.
- Mentor data engineers and lead architectural reviews, technical growth, and cross-functional alignment.
Requirements
- 10+ years of software and data engineering experience with architectural leadership at scale.
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent practical experience.
- Experience building and operating high-volume batch and real-time streaming architectures using technologies such as GCP Pub/Sub, AWS Kinesis, AWS Lambda, Apache Kafka, and Apache Flink.
- Expertise in scalable data lakes, including AWS S3, Iceberg, AWS Glue, and Delta Lake, with structured and unstructured device telemetry.
- Advanced proficiency in AWS Redshift, PostgreSQL Aurora, Python, SQL, CI/CD, and Infrastructure as Code with Terraform, CDKTF, or AWS CDK.
- Demonstrated ability to mentor engineers, solve ambiguous technical problems, and drive best practices across teams.
Nice to have
- Experience with enterprise-scale Redshift optimization, Apache Spark, Ray, or end-to-end machine learning pipelines.
- Open-source contributions or advanced AWS and GCP certifications.
Culture & Benefits
- Fully remote work with a home office setup allowance.
- No preset vacation limits, with an emphasis on taking meaningful paid time off.
- Parental leave and health and wellness benefits.
- 401(k) plan with employer contributions.
- Work focused on sustainable energy, family-first values, and continuous learning.
- Employment requires authorization to work in the United States; visa sponsorship is not available.
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