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

Open nowFirst seen 3 days ago

Data Engineer

cognyte/f2.00944 open roles

Pay
$100,000 – $120,000 a year
Where
USA - Remote, Remote
Work mode
Remote
Get the CV for this job

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

Your applicationOpen nowData Engineercognyte/f2.009 · USA - Remote, Remote

  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 cognyte/f2.009'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.

12.1% of postings close within 7 days. Measured by our own scanner across the market. cognyte/f2.009 postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

cognyte/f2.009 median: 1 days open

The posting

Curious about what it’s like to work at Cognyte?

At Cognyte, you’ll collaborate with expert colleagues around the globe to solve problems most people will never even know exist!

You’ll be part of building unique solutions shaped by real investigative methodologies, enabling our customers to identify, investigate, visualize and prevent criminal, terror and security threats worldwide.

These solutions are used by law enforcement, national security, and national and military intelligence agencies in almost 100 countries to turn massive, diverse data into clear, actionable intelligence for a safer world.

Location: Remote - Must reside in EST or CST time zones

We are looking for a talented and hands-on Data Engineer to join our Delivery team. This role is ideal for engineers who are passionate about building scalable data platforms and distributed systems while working across modern cloud and infrastructure technologies.

You will design, develop, and operate large-scale data pipelines and services that process massive volumes of structured and unstructured data in both cloud (AWS/GCP/Azure) and on-premises environments. The ideal candidate combines strong software engineering skills with infrastructure expertise, including Kubernetes, containerization, cloud-native architectures, and platform operations.

What You'll Do

  • Design, develop, and maintain large-scale data ingestion, transformation, and enrichment pipelines.

• Build and operate distributed data processing services using technologies such as Java, Python, Kafka, and related ecosystems.

• Design scalable, resilient, and high-performance data architectures.

• Develop and optimize data models for analytics, search, graph, and operational workloads.

• Deploy and manage applications across Kubernetes-based environments.

• Work with cloud-native services in AWS and/or GCP while supporting hybrid and on-premises deployments.

• Partner with customers, integration teams, and solution architects to deliver successful implementations.

• Monitor, troubleshoot, and optimize platform performance, reliability, and scalability.

• Contribute to infrastructure automation, CI/CD processes, and platform engineering initiatives.

• Ability to travel domestically and internationally as needed for customer engagements, workshops, and deployments.

Requirements

• 5+ years of experience in Data Engineering, Software Engineering, or Platform Engineering.

• Strong programming experience in Java and/or Python.

• Hands-on experience with Kubernetes and containerized applications (Docker).

• Experience working with AWS, GCP, or other public cloud platforms.

• Experience supporting or operating hybrid cloud and on-premises environments.

• Solid understanding of distributed systems and multithreaded applications.

• Experience with SQL and NoSQL databases.

• Experience building and operating production-grade data pipelines.

• Strong troubleshooting and operational skills.

• Excellent communication and collaboration skills.

Nice to have:

• Experience designing and operating multi-cluster Kubernetes environments.

• Experience with data platforms deployed in highly regulated or air-gapped on-premises environments.

• Knowledge of networking, security, and cloud infrastructure best practices.

• Experience working directly with customer-facing engineering teams.

If hired for this position, the base salary range would be between $100k-$120k. The base salary range represents the anticipated low and high end of the salary range for this position. Actual salaries may vary based on various factors including but not limited to work location, skills, experience, and performance. The range listed is just one component of Cognyte’s total compensation package for employees. Other rewards may include commission and short and long-term incentives. In addition, Cognyte provides a variety of benefits to employees, including health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, and PTO.

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 cognyte/f2.009'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 cognyte/f2.009'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

    cognyte/f2.009'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.