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

Open nowFirst seen 4 days ago

Data Engineer Snowflake and Databricks -Austin, TX -Hybrid or Remote in the U.S.

FinTrust Connect34 open roles

Where
Austin, Texas, United States
Work mode
Hybrid
Get the CV for this job

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

Your applicationOpen nowData Engineer Snowflake and Databricks -Austin, TX -Hybrid or Remote in the U.S.FinTrust Connect · Austin, Texas, 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 FinTrust Connect'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.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

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. 57.8%60 days
This job: first seen 4 days ago

The posting

Data Engineer Snowflake and Databricks -Austin, TX -Hybrid or Remote in the U.S.

FinTrust Connect Austin TX Hybrid or Remote

Share Your Resume and Build Your Future!

Join our Talent Community for Austin. Posts in this market highlight Databricks first development with Snowflake serving analytics and sharing, plus strong pipeline ownership and stakeholder skills. Contract ranges trend mid market with steady demand.

As a Data Engineer you will ship production grade pipelines on Databricks and Snowflake, stand up quality and monitoring, and partner with product and risk teams to land trusted data sets.

Requirements

  • 4 to 7 years building ELT with Python and SQL
  • Databricks PySpark and Delta tables and jobs and notebooks
  • Snowflake performance tuning and tasks and streams and time travel
  • Orchestration Airflow or dbt or Azure Data Factory
  • CI and CD and IaC familiarity

Responsibilities

  • Build scalable ingestion and transformation with tests and documentation
  • Model curated data layers that serve BI and ML and finance
  • Implement monitoring for freshness and volume and schema drift
  • Optimize compute and storage for cost and runtime

Outcomes we track

  • Freshness SLA met 95%+ across critical tables
  • Runtime reduced 30% on top pipelines within 60 days
  • Incident mean time to recover < 30 minutes

Compensation and terms

  • Consultant pay $85 to $150 per hour
  • Contract Hybrid Austin TX or Remote US W2 or 1099

How to apply

  • Apply on our site FinTrust Careers
  • Or email [email protected] with subject [Apply] Data Engineer Austin
  • Follow FinTrust Connect on LinkedIn

Keywords

Databricks, Snowflake, PySpark, Delta, Unity Catalog, dbt, Airflow, ADF, Python, SQL, Cost Governance, Observability, ELT, CDC, Austin

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 FinTrust Connect'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 FinTrust Connect'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

    FinTrust Connect'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.