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Senior Data Engineer
Job in
Atlanta, Macon County, Missouri, 63530, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
IT/Tech
Data Engineering
Job Description & How to Apply Below
Responsibilities
- As a senior data engineer, you will be responsible for ideation, architecture, design and development of our key data platform components
- Create and maintain essential data platform SDKs and libraries, adhering to industry best practices
- Design and develop connector frameworks and modern connectors to source data from disparate systems both on-prem and cloud
- Design and optimize data storage, processing, and querying performance for large-scale datasets using industry best practices while keeping costs in check
- Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data
- Collaborate with data scientists, analysts, and cross functional teams to design data models, database schemas and data storage solutions
- Proactively identify and contribute towards platform resiliency
- Design and develop observability and data governance frameworks and practices
- Stay up to date with the latest data on engineering trends, technologies, and best practices
- Drive the deployment and release cycles, ensuring a robust and scalable platform
- Partner with AI enablement teams across the organization as well as KION IT Cloud Infrastructure, AI Platform, and security teams to ensure AI/ML capabilities align with IT framework and guidelines within KION
- Partner with Business Transformation Data Management teams to align on master data
- 5+ years of proven experience in modern cloud data engineering and software engineering
- Proven ability to build end-to-end data platforms and data services (beyond ETL)
- Strong cloud experience, preferably GCP;
Azure (ADLS) and Databricks are strong pluses - Hands‑on experience with Databricks (Delta Lake, Spark, ML/ETL workflows)
- Experience working in multi-cloud environments (GCP / Azure)
- Proficiency with platforms such as Big Query, Dataflow, Dataform, Cloud Run, DBT, Dataproc, SQL, Python, Airflow, Pub/Sub, and equivalent Azure tooling such as ADLS, Azure Functions, and Databricks
- Experience with microservices architectures (Kubernetes, Docker)
- Deep experience with batch and streaming data infrastructures
- Strong hands‑on experience with metadata management, data catalogs, data lineage, data quality, and data observability frameworks
- Strong understanding of data modeling, data architecture, and data governance
- Solid experience with Data Ops, CI/CD, and test automation
- Excellent experience with observability tooling
- Experience building data platforms supporting AI use cases and machine learning
- Production level experience with universal semantic layers
- Production level experience with implementing either 3rd party or open-source metadata management platforms
- Production level experience with data platform resiliency
- Experience building large-scale data platforms on Azure, including Azure Data Lake and Databricks
Position Requirements
10+ Years
work experience
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