Senior Data Engineer

Diversitech•Duluth, GA

14d•Onsite

About The Position

The primary responsibility of the Senior Data Engineer is designing, building, and maintaining the organization’s data platform infrastructure to support analytics, data science, AI, and application teams. This role ensures reliable, secure, and efficient data flow across enterprise systems while maintaining a scalable and governed data architecture.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field
6 - 8 years of experience in data engineering or related field
Strong experience designing and maintaining production-grade data pipelines in cloud environments
Advanced proficiency in SQL and query optimization
Proficiency in Python for data processing and automation
Experience with Snowflake platform administration and performance tuning
Experience with data engineering tools such as Apache Spark, Airflow, dbt, or similar
Strong understanding of data modeling (dimensional modeling, schema design)
Experience implementing data governance (RBAC, data quality, lineage, metadata)
Familiarity with CI/CD practices and version control tools (Git)
Strong analytical, problem-solving, and troubleshooting skills
Excellent communication skills with ability to translate technical concepts to business stakeholders

Nice To Haves

Experience with Medallion architecture (Bronze/Silver/Gold layers)
Experience supporting BI tools (Power BI, Tableau) and ML/AI pipelines
Experience integrating ERP, transactional, and third-party data sources
Exposure to data mesh, data contract, or data product frameworks.

Responsibilities

Designs, builds, and maintains scalable data pipelines and data architecture, including ELT/ETL processes across multiple data sources.
Develops and publishes curated datasets and data products for analytics, reporting, machine learning, and application use cases.
Administers and optimizes Snowflake environments, including database objects, warehouses, and role-based access controls.
Implements and enforces data governance practices such as data quality validation, metadata management, lineage tracking, and access policies.
Collaborates with business and technical stakeholders to gather requirements, troubleshoot issues, and deliver data solutions.
Monitors platform performance and resource utilization, implementing optimizations to balance cost and efficiency.
Supports onboarding of new data sources and integration of enterprise systems into the data platform.
Leads data incident response, root cause analysis, and remediation for pipeline or data quality issues.
Maintains documentation for data architecture, pipelines, governance policies, and standards.
Performs other duties as assigned.