About Nava Nava is a consultancy and public benefit corporation working to make government services simple and effective. Since 2015, federal, state, and local agencies have trusted Nava to help solve highly scrutinized technology modernization challenges.
As a client services company, we guide agencies constrained by legacy systems to a future with sharp user experiences built on secure, reliable, fault-tolerant cloud infrastructure. We bill for our time, offering our expertise and problem-solving approach to help our government partners enhance their digital products and services. People are at the heart of our work, from members of the public who rely on benefit programs to government agency staff. Through human-centered design and modern engineering best practices, we help our government partners understand user needs and deliver on their missions more effectively. This focus gives everyone at Nava the opportunity to do work that is meaningful, impactful, and deeply connected to public good.
Position summary In this role, you’ll partner with government stakeholders and Nava’s engineering, design, and product teams to modernize data architectures and pipelines for critical public programs. You’ll design and implement scalable data models and databases, improve pipeline performance and security, and build systems that support the storage, processing, and analysis of large-scale data. You will support the data needs of multiple teams, systems, and products in addition to creating and optimizing our government partners' data architecture.
What you'll do 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
Required skills 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
Desired skills 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
Please note: the level of the role will be determined by Nava leadership based on experience and skillset.
Compensation
$120,600 - $135,900 USD
Original posting: https://www.python.org/jobs/8062/