Data Infrastructure Engineer
4 weeks ago
About the role
We are looking for talented engineers who are excited about building products that wrangle AV data to supercharge our customers. You will drive the design and development of data infrastructure across both our external products and internal tools. Handling massive volumes of data for Applieds platform needs is a critical area and we are looking for someone who can be hands-on in supporting our data products and services across the company. Being part of a fast-moving company, this position will require being an independent-thinker and ability to own projects, including development of greenfields projects end-to-end. At Applied, we encourage all engineers to take ownership over technical and product decisions, closely interact with external and internal users to collect feedback, and contribute to a thoughtful, dynamic team culture.
At Applied, you will:
Develop and deploy event-driven pipelines using extract, load and transform (ELT) architecture focused on distributed ingestion
Build features to tune processing pipeline for fast data ingestion and indexing depending on customer's needs and workloads
Enable product workflows that expose performant query interfaces and offer easy-to-use integration hooks
Develop and deploy high-quality software using modern tooling and frameworks
Encourage change, especially in support of data engineering best practices, and maintain a high standard of excellence
Work with products and teams across Applied Intuition
We're looking for someone who has:
Experience with large-scale open source data processing frameworks (Spark, RabbitMQ, Kafka, Airflow, Flink, etc.)
Experience with containerization and other modern software development workflows
Strong knowledge of SQL and data concepts, including experience in using a big data warehouse
Deep knowledge of data quality, data profiling and cleansing techniques
Nice to have:
Expertise with modern programming languages (Python, C++, GoLang, etc.)
Experience with enterprise software, including on-prem and/or cloud environments
Experience with either autonomy or simulation products
The salary range for this position is $65,000 USD to $400,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices.
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