Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 8 hours ago

Staff Data Engineer

Workable (global search)106,928 open roles

Where
Pleasanton, CA, United States
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowStaff Data EngineerWorkable (global search) · Pleasanton, CA, United States

  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 Workable (global search)'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

9.0% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.9%3 days
  3. 9.0%7 days
  4. 15.5%14 days
  5. 34.1%30 days
This job: posted 8 hours ago

Workable (global search) median: 4 days open

The posting

About Meeru AI

Meeru AI is building an AI-native platform that transforms how finance and accounting teams operate. We connect to enterprise financial systems — ERPs, CRMs, billing platforms, HRIS — and apply machine learning to turn fragmented operational data into grounded, auditable intelligence for CFOs, controllers, and FP&A leaders.

We deploy on customer terms — SaaS multi-tenant, SaaS single-tenant, and on-premises — across AWS, Azure, and GCP. Our customers are Fortune 500 finance teams who require data isolation, auditability, and compliance.

The Role

We are looking for a Staff Data Engineer to build and own the major subsystems of the data foundation — the pipelines, connectors, and curated models that feed the platform's analytics and AI layers. You take the data architecture and standards set by the data lead and turn them into robust, production-grade systems that don't break and don't lie about the numbers.

You own significant pieces of the platform end to end complex transformations over the warehouse, source integrations for new customer systems, and the reconciliation and lineage that prove the curated model ties back to source. This is a hands-on, high-ownership engineering role with a clear path toward Senior Staff.

Requirements

  • 7+ years in data engineering. You've owned complex, production pipelines end to end, including how they perform, how reliable they are and what they cost to run.
  • Expert SQL and data modeling. You write complex, set-based transformations over a cloud warehouse (Snowflake, BigQuery, PostgreSQL or similar) and design models other teams build on.
  • dbt in production. You've built and maintained real dbt projects, including incremental models that refresh efficiently instead of rebuilding everything.
  • Production orchestration with Airflow or Dagster. You design DAGs that are safe to rerun and backfill.
  • Warehouse internals and performance tuning. You know why a query is slow or expensive on large datasets and how to fix it.
  • A bias toward correctness. You treat data tests, reconciliation against source and lineage as core to the job, and you build pipelines that are idempotent and reproducible.
  • Solid Python. Enough to write pipeline code, tests and tooling that others can maintain.
  • Comfort with messy source systems. You've integrated real-world sources with inconsistent data and changing schemas, and kept downstream models stable.
  • Collaboration and mentorship. You agree data contracts with backend and AI teams, review peers' work and mentor senior and mid-level engineers.

Nice to have

  • ERP and financial data. Experience with NetSuite, SAP, Oracle or Workday, or with finance data such as general ledger, accounts payable, payroll and HRIS.
  • CDC and managed ingestion. Change-data-capture pipelines or tools like Fivetran.
  • Multi-cloud and customer-hosted deployments. Work across AWS, Azure and GCP, ideally where pipelines run inside customer environments with strict tenant isolation and no data leaving.
  • A wider warehouse range. Oracle ADW, Apache Pinot or MySQL alongside the main warehouses.
  • FinTech or financial-services exposure. You understand why finance teams need numbers that tie out to the cent.
  • Reusable integration frameworks. You've built connectors or mappings as configuration on a shared framework, so the next source is faster to onboard.
  • Test and synthetic data. You've built golden or synthetic datasets for regression testing.
  • Interest in architectural ownership. This role has a clear path toward Senior Staff.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Workable (global search)'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Workable (global search)'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Workable (global search)'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.