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

Open nowPosted 39 days ago

Senior Data Engineer

OneMagnify30 open roles

Where
Detroit
Get the CV for this job

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

Your applicationOpen nowSenior Data EngineerOneMagnify · Detroit

  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 OneMagnify'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.

13.7% of postings close within 7 days. Measured by our own scanner across the market. OneMagnify postings stay open a median of 37 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 39 days ago

OneMagnify median: 37 days open

The posting

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.

Role Summary

As a Senior Data Engineer on our Customer Analytics team, you'll own the data foundation behind CRM analytics, measurement, and data science work for major enterprise brands. You'll design and run production pipelines on Google Cloud and decide how data gets modeled, validated, and delivered. Your work turns messy source data into something analysts, data scientists, and clients can trust. When our insights shape how a client spends its marketing budget, your pipelines are the reason those numbers hold up.

The Impact You'll Have

Our clients are large, data-savvy organizations that expect every recommendation to come with proof. Their CRM programs, campaign measurement, and customer segmentation all depend on data you build and maintain. A late or broken feed means a wrong answer in a client meeting. A well-engineered one means faster decisions and measurable ROI.

You'll work between data science, analytics, BI, and client teams. You'll be the person who turns a business question into a data design, and the one who keeps a platform running that serves every discipline on the account.

AI and ML work is moving from experimentation into production across our client environments. You'll help make that happen by building the data plumbing that lets models and agents run reliably inside GCP, instead of stalling in a notebook.

What You'll Do

Build the Pipelines That Power Client Analytics

  • Design, build, and maintain batch data pipelines on GCP using BigQuery, Dataform, Cloud Composer/Airflow, and Dataflow. Take a SQL-first approach and build to scale as client data grows.
  • Write and optimize complex SQL that keeps BigQuery fast and costs predictable.
  • Build external data API integrations on Cloud Run to bring third-party and platform data into a single, usable environment.

Own Data Quality End to End

  • Own the validation and cleansing pipelines that catch data problems before they reach a dashboard, a model, or a client.
  • Troubleshoot pipeline failures quickly, including tracing issues upstream, and fix root causes so the same failure doesn't come back.

Fuel Data Science and Analytics

  • Partner with data scientists and analysts to deliver reliable, well-documented datasets that shorten the path from question to insight.
  • Work with the data science team on AI/ML integrations in GCP so models can move into production workflows.

Translate Business Questions into Data Solutions

  • Lead requirements conversations with client and internal stakeholders, and turn loosely defined asks into clear data designs.
  • Build and maintain dashboards and handle ad-hoc client data requests. Where it makes sense, turn one-off requests into repeatable assets.

Engineer with Discipline

  • Use Git, pull request workflows, and CI/CD automated deployments to ship changes safely and often.
  • Raise the team's engineering standards through code reviews and shared best practices.

What You'll Need

  • Bachelor's degree in computer science, engineering, information systems, or a related field, or equivalent experience
  • 3+ years of data engineering experience, including production batch pipelines on GCP (BigQuery, Cloud Composer/Airflow, Dataflow)
  • Advanced SQL skills, with experience building SQL-first pipelines in BigQuery
  • Strong Python skills
  • Experience building API integrations, ideally on Cloud Run
  • Hands-on experience with version control and CI/CD (Git, PR workflows, automated deployments)
  • Ability to gather requirements from technical and non-technical stakeholders, and confidence working directly with clients
  • The judgment to make design tradeoffs and explain them clearly

Future-Ready Skills (Nice to Have)

  • Experience with Dataform or dbt for modular, tested, version-controlled transformations
  • Experience building with Gemini Enterprise agents (formerly Vertex AI)
  • Background in consumer or marketing data, such as CRM, campaign response, or customer identity data
  • Experience using AI-assisted development tools to speed up pipeline builds, testing, and documentation

Benefits

We believe great work happens when people have the support and flexibility they need to thrive. Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, and Flexible Time Off (FTO) so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.

We are an equal opportunity employer

We believe that innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal opportunity employer and actively search for like-minded people to join our team.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.

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 OneMagnify'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 OneMagnify'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

    OneMagnify'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.