Data Engineer 4

About Our Client:The organization operates within the federal government sector, focusing on managing and delivering vessel and enforcement-related data. It addresses challenges in integrating, transforming, and validating complex data sets critical to operational applications and reporting in maritime and enforcement contexts. The team supports federal product owners and stakeholders through Agile methodologies, aiming to modernize and maintain robust data pipelines and cloud services, leveraging Google Cloud Platform technologies. About the Opportunity:The DATA ENGINEER 4 role provides technical leadership in designing, implementing, and supporting data pipelines, interfaces, and cloud services that handle vessel and enforcement data. This position is responsible for ensuring data integrity, security, and operational efficiency in data delivery to applications and reporting tools. The role contributes by guiding architecture decisions, mentoring team members, and improving the reliability and scalability of the data ecosystem within a federal Agile delivery team. Responsibilities:Design and modernize production data pipelines for vessel and enforcement-related data.Define scalable integration patterns for various workloads including batch, event-driven, and streaming.Translate business and technical requirements into data models, schemas, transformation logic, and quality controls.Optimize SQL and data-processing logic for ingestion, reconciliation, analytics, and reporting.Establish standards for data lineage, versioning, and schema evolution.Lead technical reviews and set engineering standards for source code and release practices.Architect and implement secure data workloads using Google Cloud Platform services.Guide design of cloud storage, orchestration, service identities, and deployment configurations.Improve continuous integration, automated deployments, and operational visibility.Apply federal security requirements and best practices for data access and communication.Define monitoring and service-level indicators for pipeline health and data quality.Lead diagnosis and resolution of complex data and integration issues.Establish operational standards for alerting, logging, failure recovery, and readiness.Coordinate releases, incident response, root-cause analysis, and stakeholder communication.Maintain architecture documentation, runbooks, and deployment procedures.Mentor engineers and facilitate Agile team processes including planning and retrospectives. Requirements:Minimum 9 years of professional experience in data engineering, systems integration, or software engineering.Advanced experience with data pipelines in Google Cloud Platform or similar cloud environments.Strong SQL skills and experience with BigQuery or cloud data warehouses.Proficiency in Python, Java, or equivalent languages for data processing and integration.Experience designing REST API integrations, data contracts, and reconciliation processes.Proven ability in production troubleshooting, incident response, and resolution of complex issues.Experience with Git or GitHub workflows, code reviews, automated testing, and CI/CD pipelines.Capability to assess architectures, identify risks, and manage mission-critical services independently.Strong leadership, documentation, communication, and collaboration skills in Agile environments.Bachelor’s degree in computer science, information systems, data engineering, or equivalent experience. Pay Range and Compensation Package:The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors. Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note:RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.