Key skills
PythonETL pipelinesCloud platformsRelational databasesData observability toolsAgile Software DevelopmentCI/CDTest Driven DevelopmentSource Code ManagementData cleaningSchema designAPI integrationsAdvanced SQL queriesHuman-centered designSQLAIMLETLData EngineeringAnalyticsAWSTerraformECSS3CloudWatchGluePostgreSQLAgile
About this role
Nava is a consultancy and public benefit corporation dedicated to modernizing government services. The Software Engineer (Data) role involves partnering with government stakeholders to design and implement scalable data architectures and pipelines, enhancing data processing capabilities for critical public programs.
Responsibilities:
- Work with cross-functional project teams to gather business requirements and translate to detailed technical specifications
- Work with Government partners to assist and develop data engineering applications and pipelines that will enable data services and processing capabilities, such as advanced analytics, AI/ML, and experimentation
- Design, develop, test, automate, and deploy data engineering solutions in a cloud platforms, such as AWS
- Participate in software design and code reviews
- Develop automated testing, monitoring and alerting, and CI/CD for production systems
Requirements:
- Minimum of 8 years of experience with professional software engineering practices using such tools and methodologies as Agile Software Development, Test Driven Development, CI/CD, and Source Code Management
- Experience with building ETL pipelines to ingest, process, and store data
- Prior experience with Python programming for both data processing and server-side use cases
- Experience with data cleaning, modeling, schema design while protecting sensitive data
- Proficient with building data integrations using both API and file-based protocols
- Proficient with relational databases and advanced SQL queries, particularly with Postgresql
- Experience with using data observability tools to maintain data infrastructure and data quality
- Proficient in refining high-level goals into high-impact, low-effort tasks and milestones based on human-centered design practices to prioritize options for stakeholders
- Experience using data observability tools to maintain data infrastructure and data quality
- Experience with AWS services like ECS, S3, CloudWatch, and Glue
- Infrastructure as code experience tools like Terraform
- Legacy modernization, especially with mainframes
- Comfortable troubleshooting complex data and systems interaction problems