Energy Jobline ZR
Senior/Staff Data Engineer in Los Angeles
Energy Jobline ZR, Los Angeles, California, United States, 90079
ABOUT THE ROLE
Bachelor's degree in computer science, data science, engineering, math, physics, or a STEM discipline
7+ years of experience in software engineering or data engineering
Experience working with in-stream data processing and analytics using Apache Kafka, Flink, Beam, or similar
Experience with relational and non-relational databases such as PostgreSQL, Druid, Pinot, Timescale, or similar
Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, PowerBI, or similar
KEY RESPONSIBILITIES
Design and build a horizontally scalable platform for ingesting millions of data points from hardware sensors per second, and a robust and durable database solution for storing, reading, and analyzing those points
Work closely with customers, including hardware engineers, to understand their problems and find efficient solutions
Help define engineering culture, standards, and processes
Design and build large‑scale distributed systems or web applications using Go, Python, or an equivalent language
LOCATION The Sift team is based in Los Angeles (El Segundo). We collaborate in person twice per week, Monday and Thursday. We work closely with hardware companies located in LA, building everything from autonomous vehicles to spacecraft. Proximity for site visits and collaboration is essential for a customer‑centric company.
BENEFITS
New hire stock equity
Hybrid workplace
Free lunch, snacks, & coffee
Top‑tier health insurance (Medical, Vision, Dental)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Bachelor's degree in computer science, data science, engineering, math, physics, or a STEM discipline
7+ years of experience in software engineering or data engineering
Experience working with in-stream data processing and analytics using Apache Kafka, Flink, Beam, or similar
Experience with relational and non-relational databases such as PostgreSQL, Druid, Pinot, Timescale, or similar
Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, PowerBI, or similar
KEY RESPONSIBILITIES
Design and build a horizontally scalable platform for ingesting millions of data points from hardware sensors per second, and a robust and durable database solution for storing, reading, and analyzing those points
Work closely with customers, including hardware engineers, to understand their problems and find efficient solutions
Help define engineering culture, standards, and processes
Design and build large‑scale distributed systems or web applications using Go, Python, or an equivalent language
LOCATION The Sift team is based in Los Angeles (El Segundo). We collaborate in person twice per week, Monday and Thursday. We work closely with hardware companies located in LA, building everything from autonomous vehicles to spacecraft. Proximity for site visits and collaboration is essential for a customer‑centric company.
BENEFITS
New hire stock equity
Hybrid workplace
Free lunch, snacks, & coffee
Top‑tier health insurance (Medical, Vision, Dental)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
#J-18808-Ljbffr