Key skills
PythonNoSQLData EngineeringDatabricksSparkAirflowdbtAWSAzureGCPGoogle CloudTerraformKubernetesDockerHelmPostgreSQLMySQLVersion ControlAgileCI/CDCommunication
About this role
Data Surge is disrupting the services industry with cutting-edge technology, and they are seeking a skilled and motivated Senior Data Engineer with deep Databricks and cloud experience. The role involves designing and implementing scalable data solutions, optimizing pipelines, and automating infrastructure within secure cloud environments.
Responsibilities:
- Design, develop, and optimize robust data pipelines in Databricks to process and transform large-scale data sets
- Collaborate with data scientists, engineers, and cloud architects to build reliable, secure data systems
- Automate infrastructure provisioning using Terraform and manage resources on Azure (or AWS/GCP)
- Monitor, troubleshoot, and support production-grade data pipelines and jobs
- Develop CI/CD workflows to streamline deployment and version control of data processing code
- Ensure security, performance, and reliability across all stages of data workflow
- Utilize and manage Docker containers where needed to deploy data services
- Participate in Agile team ceremonies and help shape iterative data delivery plans
- Support continuous improvement in data architecture, automation, and governance practices
- Other duties as reasonably required
Requirements:
- U.S. Citizenship
- 5+ years of experience in data engineering or backend data infrastructure roles
- 2+ years of hands-on experience with Databricks, Spark, or distributed data processing systems in a production environment
- Deep proficiency with PySpark and Python for data engineering tasks
- Experience with data modeling
- Solid experience with Airflow, dbt, or other orchestration and transformation tools
- Proven skills in data governance, lineage, or security best practices
- Experience working with Azure (preferred), AWS, or Google Cloud
- Strong working knowledge of CI/CD tools and version control workflows
- Comfortable working with relational (e.g., PostgreSQL, MySQL) and NoSQL databases
- Proven experience in monitoring, debugging, and scaling cloud-based data systems
- Strong communication skills and ability to work independently in a remote team environment
- Experience with Kubernetes and Helm for deploying data workloads (not required)
- Solid experience with Terraform or other Infrastructure as Code tools
- Familiarity with containerization using Docker
- Knowledge of data lakehouse architectures and Delta Lake
- Experience working on Federal or government projects
- Existing security clearance (preferred but not required)
- Databricks Certification
- Bachelor's
- Data Engineering: 7 years
- Databricks: 3 years