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Open nowPosted 73 days ago

Data Engineer

Gridmatic Inc14 open roles

Pay
$180,000 – $235,000 a year
Where
Cupertino, San Francisco
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Your applicationOpen nowData EngineerGridmatic Inc · Cupertino, San Francisco

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Gridmatic Inc's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Gridmatic Inc postings stay open a median of 45 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 73 days ago

Gridmatic Inc median: 45 days open

The posting

The role

Gridmatic’s business is complex, and we need to build a robust data layer to be able to answer core questions around profit and loss and how to best optimize our renewable supply.

We’re looking for a startup-minded data engineer who can wear a lot of hats, work with multiple teams, and build the data platform needed to support answering these questions.

What you might work on:

  • Revenue analytics. Building a unified set of financial data across trading, battery storage, and energy sales, allowing us to have a clear real-time view of revenue and PnL - an essential part of being an energy supplier.
  • Energy supply analytics. Building tooling and infra so we can grow our renewable supply, e.g. tooling to easily simulate additional hypothetical renewable resources.
  • Ownership of data ingest and transformation. For both revenue and supply, owning the data platform and building new ingest pipelines in Flyte and Python, or new models in DBT.

You might be a good fit if you:

  • Are interested in diving into the domain of energy and financial data (not just data infrastructure) and grappling with complex business logic and messy data
  • Have strong production Python and SQL skills
  • Have a strong understanding of how to store and query data efficiently in relational databases and data warehouses
  • Have production DBT skills, and are adept at clean data architecture
  • Have used data orchestration tools like Flyte, Airflow, Prefect, or Dagster

This role requires candidates to adhere to our hybrid policy, 3 days a week in office with at least 1 day in our Cupertino office.

Taking care of you today:

- Continuing Education Opportunities

- Flexible PTO

- Medical, Dental and Vision plans with competitive employer contributions

- Pre-Tax commuter benefits

- $1500/year non profit donation matching program through Millie

- Home Office Stipend

Protecting your future for you and your family:

- 401K contribution match up to 4%

- Company-paid parental leave

- Company Paid Life Insurance

- Stock Option Loan Program

Pay range:

$180,000 - $235,000 USD, plus competitive equity

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