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

Open nowPosted today

Senior Data Engineer II

relx172 open roles

Where
Irving, TX
Get the CV for this job

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

Your applicationOpen nowSenior Data Engineer IIrelx · Irving, TX

  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 relx'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.

8.3% of postings close within 7 days. Measured by our own scanner across the market. relx postings stay open a median of 5 days.

Share of postings closed within
  1. 1.9%1 day
  2. 4.0%3 days
  3. 8.3%7 days
  4. 15.3%14 days
  5. 34.2%30 days
This job: posted today

relx median: 5 days open

The posting

  • RELX Inc. d/b/a LexisNexis USA
  • Senior Data Engineer II
  • 400 East Las Colinas Blvd., Irving, TX 75039

JOB DESCRIPTION:

  • Perform daily data loads, ensuring recurring updates are logged and tracked. Interface with other technical personnel or team members to document, interpret and finalize requirements. Produce code that is efficient, repeatable, without defects, and adherent to best practices such as naming conventions, and encapsulation. Write and review portions of detailed specifications for the development of system components of moderate complexity. Complete complex data engineering bug fixes and resolve related issues, researching and identifying root causes as appropriate. Work closely with other development team members to understand complex product requirements and translate them into data engineering and/or data management designs. Innovate process improvements that enable efficient delivery and maintenance. Successfully implement development processes, coding best practices, and code reviews. Operate in various development environments (including Agile and Waterfall) while collaborating with key stakeholders. Identify areas where it is an advantage to work with other teams to improve overall quality, and with peers or others, implement initiatives improving capabilities and efficiency. Train entry-level data engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles, and mentor junior data engineers on methodologies and optimization techniques. Keep abreast of new technology developments. Design and work with complex data models. Perform other duties as needed.

REQUIREMENTS:

  • Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Systems, or a related field required.
  • 5 years of experience in job offered or related occupations required.
  • Also required is: 5 years of experience: with ML-Based Application Development & API Integration to build software features that rely on machine-learning models and to integrate those models into applications through APIs so the system can send data and receive predictions automatically; convert research-grade ML models into stable, scalable services that other applications and users can access reliably; building and deploying machine learning-based applications, including the design and integration of ML APIs and RESTful for scalable, production-grade systems; with data engineering & ETL Pipelines to design automated workflows that extract data from multiple sources, transform it into usable formats, and load it into databases or ML systems, ensuring that large volumes of structured and unstructured data are cleaned, validated, and delivered reliably for analytical and machine-learning purposes; designing and maintaining ETL workflows for large-scale data processing, including structured and unstructured data; utilizing database & Vector Store Technologies; using SQL/NoSQL databases and/or vector databases such as Solr, Elasticsearch, or Pinecone; with Cloud Infrastructure, Deployment Automation & Containerization to deploy and operate applications on cloud platforms using automated tools to ensure systems are scalable, consistent, and easy to maintain; deploying applications on cloud platforms including AWS, Azure, and GCP, using infrastructure-as-code tools such as Terraform, and containerization technologies including Docker; utilizing orchestration tools such as Kubernetes to automatically manage, deploy, and scale containerized applications across multiple servers to ensure applications remain available, recover quickly from failures, and can be updated or rolled back safely without interrupting service; with MLOps & Model Deployment; and with MLOps practices and deploying ML models using frameworks such as KubeRay, Triton Inference Server, or similar orchestration tools.
  • Employee reports to RELX, Inc. d/b/a LexisNexis USA office in Irving, TX, but may telecommute from any location within the U.S.
  • Experience can be concurrent.

SALARY RANGE FOR REQ# R119869:

  • $160,285.00 to $174,600.00/year + standard company benefits
  • This salary range is specifically for REQ# R119869. Salary range listed below is general and covers all similar positions in the area and should not be considered for this specific position.

HOW TO APPLY:

  • Interested candidates should send email to [email protected] and reference job code: R119869

#LI-DNI

#IND-DNS

#ICT



U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.







We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.

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 relx'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 relx'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

    relx'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.