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Senior Data Engineer – Temp to Hire
National Guardian Life Insurance CompanySenior Data Engineer at NGL developing data pipelines and architecture for data initiatives. Supporting software developers and data scientists while optimizing data flow in an Agile environment.
Tech Stack
Tools & technologiesAWSPySparkPythonTerraform
About the role
Key responsibilities & impact- Develop and optimize data and data pipeline architecture
- Provide thought leadership to support software developers and data scientists
- Assemble large, complex data sets that meet functional requirements
- Identify and implement internal process improvements
- Build AWS infrastructure for data extraction and transformation
- Automate deployment and management of data services using IaC
- Contribute to CI/CD processes
- Develop analytics tools for actionable insights
Requirements
What you’ll need- 5 years of experience with Python and building data pipelines
- 3 years of experience working with AWS services
- 1-2 years of experience building or maintaining CI/CD pipelines
- 4 years applying Agile methodology (Scrum and/or Kanban)
- Advanced working Python and PySpark knowledge
- Strong knowledge of AWS services such as Glue, Lambda, S3, Data Lake
- Strong knowledge of Terraform and GitHub
- Experience building and optimizing data pipelines
- Strong understanding of DevOps practices
- AWS certifications are a plus
Benefits
Comp & perks- Flexible work environment
- Employee Resource Groups for professional and personal development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonPySparkAWSTerraformGitHubCI/CDAgile methodologydata pipeline architecturedata extractiondata transformation
Soft Skills
thought leadershipprocess improvementcommunication
Certifications
AWS certifications