Data Engineer

Job not on LinkedIn

🔥 5 minutes ago

🇺🇸 United States – Remote

💵 $120k - $150k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

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TSPi

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

🏛️ Government

Consulting • Healthcare • Government

TSPi is a small business IT services firm that designs and implements enterprise IT solutions to improve efficiency, increase performance, and accelerate customer success. The company focuses on application modernization, low-code platforms, cloud and DevOps architecture, and loans origination/management solutions for public sector clients. TSPi holds multiple federal contract vehicles (GSA MAS, CIO‑SP3, NASA SEWP V), maintains ISO and CMMI certifications, and operates as a value‑added reseller and incubator to accelerate government IT transformation.

📋 Description

• Design, modernize, and support production data pipelines that ingest, transform, validate, and publish vessel, permit, trip, declaration, landing, and enforcement-related data. • Define scalable integration patterns for batch, scheduled, event-driven, streaming, and API-based workloads. • Translate business and technical needs into source-to-target mappings, canonical models, schema strategies, transformation logic, reference-data rules, and data-quality controls. • Design and optimize complex SQL and data-processing logic for ingestion, reconciliation, analytics, reporting, and application support. • Establish approaches for data lineage, versioning, backward compatibility, and controlled schema evolution. • Lead technical reviews, set engineering standards, and guide source-code, configuration, testing, and release practices through Git or GitHub workflows. • Architect and implement secure, resilient data workloads using BigQuery and other Google Cloud Platform services. • Guide cloud storage, orchestration, service identities, secrets, configuration, networking, and environment-specific deployment settings. • Improve continuous integration and delivery pipelines and establish automated deployments across development, test, staging, and production environments. • Evaluate architectural tradeoffs and improve performance, scalability, cost efficiency, recoverability, and operational visibility. • Apply federal security requirements, least-privilege access, encryption, auditability, and secure service-to-service communication practices. • Define monitoring and service-level indicators for pipeline health, processing volume, latency, failures, data quality, and downstream impact. • Lead diagnosis and resolution of complex issues involving source data, database connections, APIs, credentials, transformation logic, schedules, dependencies, and cloud services. • Establish standards for alerting, structured logging, retry handling, failure recovery, reprocessing, reconciliation, and operational readiness. • Coordinate releases, production validation, incident response, root-cause analysis, corrective actions, and stakeholder communication. • Own and review architecture diagrams, interface documentation, data dictionaries, decision records, runbooks, deployment procedures, and known-issue records. • Mentor engineers, facilitate technical design discussions, estimate complex work, identify delivery risks, and contribute to backlog refinement, sprint planning, demonstrations, and retrospectives. • Provide technical leadership for data pipelines, interfaces, and cloud services supporting federal government vessel and enforcement information systems.

🎯 Requirements

• Minimum 9 years of professional experience in data engineering, systems integration, software engineering, or a related role, including responsibility for complex production systems. • Advanced experience designing, building, and supporting data pipelines in Google Cloud Platform or a comparable cloud environment. • Advanced SQL skills and demonstrated experience designing solutions with BigQuery, relational databases, or cloud data warehouses. • Strong proficiency with Python, Java, or another language used for production data-processing and integration services. • Demonstrated experience designing REST API integrations, data contracts, schema-evolution strategies, mappings, transformations, and reconciliation processes. • Experience leading production troubleshooting, incident response, root-cause analysis, and resolution of complex data-quality or integration issues. • Experience establishing Git or GitHub workflows, code-review standards, automated testing, continuous integration, and deployment pipelines. • Ability to assess an existing architecture and codebase, identify technical risk, and assume ownership of mission-critical services with limited oversight. • Strong technical leadership, documentation, communication, mentoring, and cross-functional collaboration skills in an Agile environment. • Bachelor's degree in computer science, information systems, data engineering, or a related field, or equivalent practical experience. • Successful candidates must be able to pass a government background investigation and satisfy public trust requirements. • US Citizenship or US Green Card is required. • Preferred: Deep experience with BigQuery, Cloud Run, Cloud Functions, Pub Sub, Cloud Storage, Dataflow, Composer, or related Google Cloud services. • Preferred: Experience developing enterprise data architecture, reusable integration frameworks, data governance practices, or platform modernization roadmaps. • Preferred: Experience with fisheries, vessel monitoring, maritime, geospatial, regulatory, or enforcement data. • Preferred: Experience with Docker, infrastructure as code, automated data-quality testing, orchestration, and cloud observability tools. • Preferred: Experience defining operational metrics, service-level objectives, health dashboards, and alerts for business-critical data pipelines. • Preferred: Experience supporting federal information systems and leading technical work within federal security, accessibility, change-control, and release-management requirements.