GXO Logistics, Inc. · 2 days ago
Lead Data Engineer, Remote
United States
Full-time
Remote
Senior Level, Lead/Staff
5+ years expGXO Logistics, Inc. is a leading provider of cutting-edge supply chain solutions. As the Lead Data Engineer, you will lead the design and development of robust and scalable data pipelines while collaborating with cross-functional teams to ensure the reliability and performance of the data infrastructure.
LogisticsSupply Chain Management
Responsibilities
Lead the design, implementation, and maintenance of data pipelines to support data ingestion, transformation, and storage on GCP and Snowflake
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet business objectives
Optimize and enhance the performance, scalability, and reliability of existing data pipelines, ensuring efficient data processing and storage
Stay abreast of industry trends and emerging technologies in data engineering and incorporate them into the data architecture where applicable
Implement best practices for data quality, validation, and testing to ensure the accuracy and integrity of data throughout the pipeline
Create and maintain comprehensive documentation for data pipelines, ensuring knowledge transfer and supportability
Qualification
Required
Bachelor's degree in Computer Science, Data Science, or equivalent related work
5+ years in designing and building data pipelines on cloud platforms, preferably GCP and Snowflake
Expertise in working with modern data warehousing solutions such as Snowflake, ie, Snowpipe Streaming, Warehouse Optimization, and clustering
Python and Advanced SQL: Must be adept at scripting in Python, particularly for data manipulation and integration tasks, and have a solid grasp of advanced SQL techniques for querying, transformation, and performance optimization
Data Modeling: Understanding of best practices for data modeling, including star schemas, snowflake schemas, and data normalization techniques
ETL/ELT Processes: Experience in designing, building, and optimizing ETL/ELT pipelines to process large datasets using dbt
Apache Airflow: Experience in building, deploying, and optimizing DAGs in Airflow or a similar tool
GitHub: Experience with version control, branching, and collaboration on GitHub
Data Visualization: Knowledge of tools like Superset, Looker or Python visualization libraries (Matplotlib, Seaborn, Plotly…etc)
Collaboration and Communication: Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions
Data Privacy: Knowledge of data privacy laws including an understanding of GDPR, CCPA, and other regulations to ensure compliance in data privacy practices
Preferred
Real-time data processing experience using Kafka
Master's degree
Snowflake Certification (highly preferred)
GCP Certification (highly preferred)
Benefits
Full health insurance (medical, dental and vision)
401(k)
Life insurance
Disability
The opportunity to participate in a company incentive plan
Company
GXO Logistics, Inc.
Game-changing opportunities for our customers, employees and investors. Advanced automation that achieves logistics at full potential.
10001+ employees
H1B Sponsorship
GXO Logistics, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (1)
2022 (5)
2021 (1)
Funding
Current Stage
Public CompanyTotal Funding
$1.68B2025-11-24Post Ipo Debt· $576.56M
2024-04-25Post Ipo Debt· $1.1B
2021-08-02IPO
Leadership Team
Malcolm Wilson
Chief Executive Officer
Nizar Trigui
Chief Technology Officer
Recent News
MarketScreener
2025-12-19
2025-12-19
Company data provided by crunchbase