OneMagnify

Senior Data Engineer

OneMagnify • $110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, engineering, information systems, or related field, or equivalent experience
  • 3+ years of data engineering experience, particularly with production batch pipelines on GCP
  • Advanced SQL skills, especially in building SQL-first pipelines in BigQuery
  • Strong Python programming skills
  • Experience in building API integrations, preferably on Cloud Run
  • Hands-on experience with version control and CI/CD processes (Git, PR workflows)
  • Ability to gather requirements from both technical and non-technical stakeholders

Responsibilities

  • Design, build, and maintain batch data pipelines on GCP using BigQuery and related tools
  • Write and optimize complex SQL for performance and cost efficiency
  • Build external data API integrations to consolidate third-party data
  • Own validation and cleansing pipelines to ensure data quality
  • Quickly troubleshoot pipeline failures and address root causes
  • Collaborate with data scientists and analysts to provide reliable datasets
  • Lead requirements discussions with clients to translate business needs into data solutions

Benefits

  • Medical, dental, and vision coverage
  • 401(k) retirement plan
  • Paid holidays
  • Flexible Time Off (FTO) for personal recharge
  • Programs focused on wellness, financial security, and professional growth
Full Job Description

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.

About OneMagnify

OneMagnify is a marketing and advertising company that provides services such as digital marketing, data analytics, and customer experience management. The company was founded in 2015 and is headquartered in Chicago, Illinois. OneMagnify is a subsidiary of RR Donnelley, a global communications company that provides marketing and business communications services. OneMagnify's services are designed to help businesses improve their marketing strategies and increase their revenue.
Learn more about OneMagnify
Size
100 employees
Industry

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