Senior Data & Analytics Engineer
About The Position
The Senior Data & Analytics Engineer supports the continued development and reliability of Lanter’s enterprise data platform. Working within an Azure and Databricks environment, this position builds and enhances data pipelines, integrates new data sources, develops reporting-ready datasets, and implements automated testing to protect the integrity of production ETL/ELT processes. This hands-on role works across data engineering, analytics, data modeling, governance, and reporting. The position partners with business and technical stakeholders to translate complex requirements into accurate, scalable, and understandable data solutions.
Requirements
- 5+ years of experience in data engineering, analytics engineering, BI engineering, or a related field.
- Strong, recent, hands-on experience developing production pipelines with Python and Spark/PySpark.
- Advanced SQL skills and hands-on experience with Databricks, Azure Data Lake, and Azure DevOps or comparable technologies.
- Experience designing integrated enterprise models and dimensional data marts, including grain, keys, conformed dimensions, history, and slowly changing dimensions.
- Experience implementing automated testing, regression testing, data-quality controls, and pipeline validation.
- Experience operating production data solutions, including monitoring, optimization, troubleshooting, recovery, and cost management.
- Experience with Git, code review, CI/CD, reusable development practices, and technical documentation.
- Ability to translate complex business requirements into scalable data and analytics solutions.
- Strong communication, collaboration, problem-solving, and independent ownership skills.
Nice To Haves
- Experience in logistics, transportation, supply chain, or another operationally complex environment.
- Experience supporting data governance, AI, or advanced analytics initiatives.
Responsibilities
- Build and operate ETL/ELT pipelines using Databricks, SQL, Python, Spark/PySpark, and Azure Data Lake.
- Develop an integrated enterprise gold-layer model spanning source systems, customers, and operating companies.
- Build dimensional serving-layer and data-mart models with deliberate decisions regarding grain, keys, conformed dimensions, historical data, and slowly changing dimensions.
- Implement automated regression testing using defined inputs and expected outputs to validate pipelines and transformations.
- Own orchestration, observability, performance, failure diagnosis, replay and recovery, root-cause fixes, and cost management for assigned production solutions.
- Partner with stakeholders to reconcile business definitions and establish data requirements, rules, ownership, and governance standards.
- Apply disciplined engineering practices, including Git, code review, reusable components, automated testing, controlled deployments, and technical documentation.
- Develop analytics and reporting solutions using Sigma, Power BI, or comparable platforms.
- Support strategic data initiatives across Lanter’s business units and industry verticals, including AI, operational visibility, and analytics enablement.
- Independently own deliverables and provide technical guidance on complex data and analytics needs.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
