Senior GCP Data Engineer

RXO

$130K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor of Science in Information Technology, Computer Science, or related field, or equivalent experience
  • 7 years experience as a data engineer or similar business intelligence role
  • 5 years experience with Datalake architecture and implementation
  • 5 years experience with relational databases (MS-SQL, Postgres, Oracle)
  • 4 years experience with NoSQL databases (Capella or MongoDB)
  • 5 years proficiency in Python or similar languages
  • Strong proficiency with GCP (Azure or AWS acceptable)

Responsibilities

  • Design and build large-scale automated data pipelines across multiple data sources
  • Make architectural decisions for data modeling and processing
  • Enhance performance of complex SQL queries and troubleshoot issues
  • Implement data frameworks that ensure quality and performance
  • Establish data governance and lineage using specific tools
  • Create and maintain terraform scripts
  • Mentor junior engineers and conduct code reviews
  • Translate business requirements into technical designs
  • Monitor and optimize GCP resources for cost management

Benefits

  • Competitive pay
  • Paid time off including holidays and floating Diversity Days
  • 401(k) retirement plan with up to 5% company match
  • Comprehensive health insurance coverage
  • Employee Assistance Program (EAP)
  • Tuition reimbursement and adoption assistance
  • Various tax-advantaged accounts and Health Reimbursement Arrangement
Full Job Description

Compensation for this role is $130,000-$150,000 The role may also be eligible for bonus or commission pay. Actual compensation may vary due to factors such as experience and skill set.

As a Senior GCP Data Engineer at RXO, you'll play a role in accomplishing the following team goals: data centralization, data governance and data integrity. You'll lead component design and development, work with data science, development and business analytics teams to design scalable data solutions ensuring quality and performance. You'll use your data engineering expertise to enable our company to derive insights, perform analytics and make decisions on the modern data solutions you'll help design, build and maintain.

Please note this position is fully onsite at our Chicago, IL office, located at 2545 West Diversey, Chicago, IL 60647.

What your day-to-day will look like:
  • Design and build large-scale automated and cost-efficient data pipelines that are integrated across multi-platform and disparate data sources using GCP native services (e.g., BigQuery, Dataflow, Dataproc)
  • Make key architectural decisions related to data modeling, storage, real-time processing and orchestration
  • Work with multi statement complex queries and enhance performance or able to troubleshoot issues related to performance
  • Implement scalable, reusable and efficient data frameworks that ensure data quality, data integrity and performance consistently
  • Assist in establishing data governance, quality and lineage practices using tools like Data Catalog, Data Loss Prevention (DLP) or Cloud Audit Logs.
  • Create and maintain intermediate to advanced terraform scripts
  • Mentor junior and mid-level engineers, conduct code reviews and provide technical guidance on best practices
  • Translate business requirements into technical design documents and implementation plans
  • Participate in support rotation and proactively identify issues while implementing issue resolutions as appropriate
  • Monitor and optimize GCP resources to manage costs effectively
  • Stay updated with latest GCP services and features
  • Evaluate and recommend new tools and technologies to improve data engineering practices


What you'll need to excel:

At a minimum, you'll need:
  • Bachelor of Science in Information Technology, Computer Science or a related technical field or equivalent related work or military experience
  • 7 years of experience as a data engineer or comparable business intelligence role
  • 5 years of experience of Datalake architecture and implementation experience
  • 5 years of experience with relational databases such as MS-SQL, Postgres or Oracle
  • 4 years of experience with NoSQL databases such as Capella or MongoDB
  • 5 years Python experience or similar
  • Proficiency with Cloud offerings primarily with GCP (Azure or AWS is acceptable)


It'd be great if you also have:
  • 1 year of logistics or transportation experience
  • A Professional Data Engineer certification with Google Cloud


Does this sound like you? Check out what else RXO has to offer.

Our Benefits
  • Competitive pay
  • Paid time off includes: up to 8 holidays, up to 2 floating Diversity Days, Hourly: Earn up to 13 days PTO/ Salary: Earn up to 15 days PTO, up to 40 hours bereavement leave, up to 16 hours volunteer time, jury duty, at least 2 weeks family bonding leave, up to 40 hours prenatal care leave
  • 401(k) retirement plan with up to 5% company match
  • Insurance: health, prescription, dental, vision, basic and supplemental life, short and long-term disability, accidental death and personal loss, business travel, legal services, ID theft, accident, critical illness, hospital indemnity
  • Employee Assistance Program (EAP)
  • Tuition reimbursement, adoption assistance
  • Tax-Advantaged Accounts: Health Savings Account, Health Care Flexible Spending Account, Dependent Care Flexible Spending Account, Commuter Spending Account
  • Health Reimbursement Arrangement


Our values are the key to our unique culture and our ability to deliver for everyone we serve.

We do great things when we are inclusive and work together. To perform with excellence, we learn from one another, value diverse perspectives, operate safely and build strong relationships.

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