{"id":2508487,"url":"https://alion.io/job/tspi-data-engineer-4","title":"Data Engineer 4","company":{"id":1514875,"name":"Tspi","domain":"tspi.ca","url":"https://alion.io/company/tspi","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":120000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Least Privilege","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Docker","optional":true},{"name":"Google Cloud Run","optional":true}],"status":"live","first_seen_at":"2026-10-14T05:50:26Z","employer_posted_date":null,"last_verified_at":"2026-10-14T05:50:26Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"TSPi is seeking a Data Engineer 4 to support the federal government. This position will provide technical leadership for the data pipelines, interfaces, and cloud services that collect, transform, validate, and deliver vessel and enforcement-related information to operational applications and reporting tools.\nThe successful candidate will serve as a senior member of an established Agile delivery team and work with federal product owners, architects, application developers, data engineers, testers, and regional stakeholders. The role requires deep hands-on experience with Google Cloud Platform, BigQuery, SQL, APIs, pipeline architecture, and production operations. The engineer will own technically complex integrations, guide design decisions, mentor team members, and improve the reliability, observability, security, maintainability, and cost efficiency of the broader data ecosystem.\nResponsibilitiesData Architecture and Integration Leadership\nContribute to the design, modernization, and support of production data pipelines that ingest, transform, validate, and publish vessel, permit, trip, declaration, landing, and enforcement-related data.\n\nDefine scalable integration patterns for batch, scheduled, event-driven, streaming, and API-based workloads based on operational and mission requirements.\n\nTranslate business and technical needs into source-to-target mappings, canonical models, schema strategies, transformation logic, reference-data rules, and data-quality controls.\n\nDesign and optimize complex SQL and data-processing logic for ingestion, reconciliation, analytics, reporting, and application support.\n\nEstablish approaches for data lineage, versioning, backward compatibility, and controlled schema evolution across interconnected systems.\n\nLead technical reviews, set engineering standards, and guide source-code, configuration, testing, and release practices through Git or GitHub workflows.\n\nGoogle Cloud Platform Engineering\nArchitect and implement secure, resilient data workloads using BigQuery and other Google Cloud Platform services.\n\nGuide the design of cloud storage, orchestration, service identities, secrets, configuration, networking, and environment-specific deployment settings.\n\nImprove continuous integration and delivery pipelines and establish consistent, automated deployments across development, test, staging, and production environments.\n\nEvaluate architectural tradeoffs and improve performance, scalability, cost efficiency, recoverability, and operational visibility.\n\nApply federal security requirements, least-privilege access, encryption, auditability, and secure service-to-service communication practices.\n\nOperations Technical Leadership and Collaboration\nDefine monitoring and service-level indicators for pipeline health, processing volume, latency, failures, data quality, and downstream impact.\n\nLead the diagnosis and resolution of complex issues involving source data, database connections, APIs, credentials, transformation logic, schedules, dependencies, and cloud services.\n\nEstablish standards for alerting, structured logging, retry handling, failure recovery, reprocessing, reconciliation, and operational readiness.\n\nCoordinate releases, production validation, incident response, root-cause analysis, corrective actions, and communication with technical and program stakeholders.\n\nOwn and review architecture diagrams, interface documentation, data dictionaries, decision records, runbooks, deployment procedures, and known-issue records.\n\nMentor engineers, facilitate technical design discussions, estimate complex work, identify delivery risks, and contribute to backlog refinement, sprint planning, demonstrations, and retrospectives.\n\nRequired Skills and Experience\nMinimum 9 years of professional experience in data engineering, systems integration, software engineering, or a related role, including responsibility for complex production systems.\n\nAdvanced experience designing, building, and supporting data pipelines in Google Cloud Platform or a comparable cloud environment.\n\nAdvanced SQL skills and demonstrated experience designing solutions with BigQuery, relational databases, or cloud data warehouses.\n\nStrong proficiency with Python, Java, or another language used for production data-processing and integration services.\n\nDemonstrated experience designing REST API integrations, data contracts, schema-evolution strategies, mappings, transformations, and reconciliation processes.\n\nExperience leading production troubleshooting, incident response, root-cause analysis, and resolution of complex data-quality or integration issues.\n\nExperience establishing Git or GitHub workflows, code-review standards, automated testing, continuous integration, and deployment pipelines.\n\nAbility to assess an existing architecture and codebase, identify technical risk, and assume ownership of mission-critical services with limited oversight.\n\nStrong technical leadership, documentation, communication, mentoring, and cross-functional collaboration skills in an Agile environment.\n\nBachelor's degree in computer science, information systems, data engineering, or a related field, or equivalent practical experience.\n\nPreferred Skills and Experience\nDeep experience with BigQuery, Cloud Run, Cloud Functions, Pub Sub, Cloud Storage, Dataflow, Composer, or related Google Cloud services.\n\nExperience developing enterprise data architecture, reusable integration frameworks, data governance practices, or platform modernization roadmaps.\n\nExperience with fisheries, vessel monitoring, maritime, geospatial, regulatory, or enforcement data, including permit, trip, logbook, declaration, landing, or reference-data sources.\n\nExperience with Docker, infrastructure as code, automated data-quality testing, orchestration, and cloud observability tools.\n\nExperience defining operational metrics, service-level objectives, health dashboards, and alerts for business-critical data pipelines.\n\nExperience supporting federal information systems and leading technical work within federal security, accessibility, change-control, and release-management requirements.\n\nAdditional InformationSuccessful candidates must be able to pass a government background investigation and satisfy public trust requirements. US Citizenship or US Green Card is required.\nOriginally posted on Himalayas","description_format":"text","description_chars":6352,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T08:28:30Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":29,"reasons":["seen:0","win:early"],"computed_at":"2026-10-14T17:31:13Z"},"pay":{"stated_usd_annual":150000,"is_top_pay":false},"html_url":"https://alion.io/job/tspi-data-engineer-4","json_url":"https://alion.io/job/tspi-data-engineer-4.json","meta":{"generated_at":"2026-10-14T17:31:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":22359,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1514875},"rest":"https://alion.io/mcp/rest/get_company?id=1514875"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftspi-data-engineer-4"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftspi-data-engineer-4"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftspi-data-engineer-4"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/tspi-data-engineer-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftspi-data-engineer-4"}]}