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Zitara

Senior II Data Engineer | Platform Software

Reposted 6 Days Ago
Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
As a Senior Data Engineer, you will design data transformation pipelines, automate data capture, and ensure data quality, collaborating with R&D and engineering teams.
The summary above was generated by AI

Company

Batteries have a big role to play in tackling the climate crisis, and it’s essential to make sure that they’re safe and reliable to operate.

At Zitara (YCombinator S20), we build cutting-edge software solutions that empower companies to deeply understand their batteries, both in design and deployment. It’s all part of our work to enable a renewable energy revolution, powered by safer batteries, at a lower cost, with less waste. Our customers operate >$100M deployments of batteries in satellites, EVs, and renewable energy storage installations.

Our team brings top researchers in physics-based battery algorithms together with seasoned software engineers to build safety-critical firmware and large scale machine learning systems. We bring with us decades of experience from companies like Tesla, Cruise, and Google.

Role

Zitara has one of the most comprehensive battery performance datasets in the world, consisting of terabytes of electrical and thermal battery data from fleets of devices in the field and battery systems in our lab. Zitara builds thousands of battery models on top of these datasets, and these models enable our customers to use their batteries more safely and efficiently.

As a member of the Platform Software Team, you will design and implement data transformation and analysis pipelines for complex physical data sources, automate data capture from physical systems, assist with data entry and quality maintenance tools for Zitara's lab and test engineering teams, interface with Zitara's R&D teams, and share responsibility for the observability and scalability of the technology you build.

In this role, you'll be expected to jump into at least one or two specific well-defined projects immediately, and help define future projects to streamline our operations as we grow.

Responsibilities

  • Understand complex data and operations problems across multiple disciplines and apply software engineering methodology to attack them
  • Make tactical decisions on scope and priority to effect a continuously-improving software system
  • Proactively elicit requirements and feedback with cross-functional stakeholders and produce necessary documentation to ensure system changes meet operational needs and can be adopted
  • Demonstrate professionalism and a commitment to best practices in a software engineering team

Minimum Qualifications

  • Bachelors' in technical subject or equivalent proficiency
  • 5+ years experience in industry data engineering
  • 3+ years experience in one or more of the following specialties:
    • Proficiency in time-series databases
    • Automating data collection, storage, and validation 
    • Organizing and managing large, complex data sets
    • Creating data and operations dashboards
  • Proficiency in Python, SQL-based relational databases, and AWS services
  • Experience shipping robust internal tools
  • Clear and effective written and interpersonal communication skills
  • Creative problem solving with limited resources and engineering constraints

Preferred Additional Qualifications

  • Experience with ETL, ELT, or pipeline orchestration tools such as dbt, Dagster, and Airflow
  • Experience in batteries, IoT, mechanical engineering, electrical engineering
  • Experience writing software tools to automate physical processes

What We Offer

  • A full-time position, working from our office in San Francisco, CA or remotely.
  • Competitive pay. The annual salary range for this position is $180,000 - $200,000.
  • Health, Dental, and Vision care for you and your family.
  • A 401k savings plan.
  • “Unlimited PTO” vacation policy.
  • Excellent colleagues that are interested in your happiness and growth.

Zitara is committed to building a diverse and inclusive team. Reports from LinkedIn and Hewlett Packard indicate that women are less likely to apply for positions due to perceived mismatches with listed qualifications. It's reasonable that this phenomenon extends to other underrepresented groups too. If you think you have what it takes but don't necessarily meet every single point listed, please apply - you could be exactly who we are looking for! 


Top Skills

Airflow
AWS
Dagster
Dbt
Elt
ETL
Python
SQL

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