Sr Data Engineer

Primerica•Duluth, GA

13d•Onsite

About The Position

We are seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data solutions that support enterprise analytics, reporting, and business intelligence initiatives. This role will be responsible for building and optimizing ETL pipelines, data marts, and modern lakehouse architectures within a Databricks and AWS environment. The ideal candidate will have strong expertise in Python, SQL, cloud-based data platforms, and data modeling, along with experience collaborating with business and technical stakeholders to deliver high-quality data products. The salary range for this role is $130k - $135k. This position is not eligible for employment sponsorship, now or in the future.

Requirements

Bachelor’s degree in Information Technology, Computer Science, Engineering, or equivalent practical experience
Minimum 5 years of experience in Information Technology, with strong hands-on experience in Data Engineering and enterprise data solutions
Hands-on data engineering experience with Databricks, preferably within the AWS ecosystem
Advanced understanding of the Databricks platform, including notebook development, workflow/job orchestration, data ops (i.e. IaC, DABs), cluster management, and scalable data processing
Experience with AWS services such as Amazon S3, EC2, Lambda, IAM and other cloud-native data technologies
Strong programming skills in Python and SQL, and other modern programming languages as needed
Advanced knowledge of database modeling, particularly with IBM DB2, Databricks and Mongo DB
Advanced SQL skills, including query tuning and performance optimization
Experience with relational databases such as SQL Server and IBM DB2
Proficiency with debugging, troubleshooting, and applying appropriate design patterns
Strong understanding of data engineering principles, including data ingestion, transformation, pipeline development, and data movement
Experience with Data Governance platforms, such as Collibra

Nice To Haves

Experience with streaming platforms such as Kafka, AWS Kinesis
Experience with BI/reporting tools such as Power BI or Tableau
Experience with data virtualization technologies
Experience creating and maintaining test data for lower environments
Experience with Kubernetes and Terraform is a plus
Experience with GitHub Copilot, Claude Code or similar AI tooling
Knowledge of Palantir would be a plus
Comfortable working with analysts and business stakeholders to understand data needs and requirements

Responsibilities

Design and implement ETL processes and data architecture to support the correct functioning of the analytics environment, as well as client and third-party reporting environments and dashboards
Own end-to-end design, development, and maintenance of data marts to support reporting, analytics, and business intelligence needs
Collaborate with business and technology stakeholders to support the development, enhancement, and effective utilization of lakehouse and medallion architectures
Perform the design, development, and extension of data marts, metadata, data models and data products, aligning with organizational data strategy
Ensure all data engineering and data pipeline code artifacts are maintained in a version control system
Assist with the integration of data solutions into applications and downstream systems
Participate in Agile processes including Scrum
Use AI tools such as GitHub Copilot to assist in rapid prototyping and development
Mentoring of junior engineers, including development best-practices, code reviews and ensuring appropriate usage of Jira