{"id":10025,"url":"https://alion.io/job/sandtechholdings-data-engineer","title":"Data Engineer","company":{"id":3417,"name":"Sand Technologies","domain":"sandtechholdings.com","url":"https://alion.io/company/sandtechholdings","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":35,"ghost_share":0.114,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":126,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Baltimore, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":91000,"max_usd":174000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":530},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Digital Twin","optional":false},{"name":"GCP","optional":false},{"name":"HIPAA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"pySpark","optional":true}],"status":"live","first_seen_at":"2026-07-09T12:06:22Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-10-27T11:54:42Z","board_verified":true,"closed_at":null,"days_open":110,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":109},"description":"About Sand\nSand Technologies is a global Physical AI company using data and AI to make critical industries work better. We partner with governments, cities and enterprises to improve how essential systems operate across healthcare, water, energy, telecommunications and infrastructure.\nOur work delivers proven real-world impact. We have built AI systems that help manage London’s water supply, supported telecom network planning across hundreds of cities, and developed digital healthcare platforms serving tens of millions of people across Africa. From intelligent command centers to AI-powered infrastructure platforms, we help organizations sense, analyze and act in complex environments.\nOur people are ambitious, curious and relentlessly practical. Our teams work alongside clients in the field, solving hard problems and deploying solutions that last. With colleagues across Africa, Europe, the UK and the US, we operate across the full stack - from research and engineering to deployment and capability building.\nOur mission is simple: to harness AI to solve humanity’s most pressing challenges.\nAbout the role\nSand Technologies build data-intensive systems that enable insight, intelligence, and informed decision-making. We typically work with hybrid data architectures with centralised lakehouses or data warehouses and distributed data products on top. Our stack includes tools such as Databricks, dbt, Docker, Python, SQL, and PySpark. We primarily work in cloud-native environments across AWS, Azure, and GCP, while occasionally supporting self-hosted open-source deployments.\nOur Data Engineer is responsible for designing, building, and maintaining scalable data architecture that underpins our decision-support applications. Our decision-support applications range from traditional Analytics (data warehouse), to Machine Learning, to Digital Twins and on occasion serving LLMs and Agentic workflows, and as such your data architecture should support various use cases. You will work closely with cross-functional teams and contribute to the strategic direction of our data initiatives.\nWe operate with a strong code-first, “data as a product” mindset, where testing, reliability, observability, and performance are non-negotiable.\nSpecific Responsibilities\nArchitect and build a secure, scalable urban data platform integrating multi-agency and infrastructure datasets at scale.\nDesign resilient cloud-native architectures supporting batch, streaming, and near-real-time operational workloads.\nLead development of high-performance ingestion and transformation pipelines across legacy systems, APIs, IoT/telemetry, and structured data sources.\nImplement distributed and event-driven processing systems (e.g., Spark, Kafka or equivalent) for large-scale analytical and operational use cases.\nEstablish platform reliability standards, including observability, automated data quality validation, lineage, monitoring, and defined SLAs/SLOs.\nDesign and enforce strong data governance and access control frameworks, including RBAC, encryption, auditability, and secure data handling practices.\nBuild modern lakehouse or equivalent architectures that enable advanced analytics, GIS, and production-grade machine learning.\nPartner closely with data scientists, ML engineers, and senior stakeholders to operationalize AI and analytics at scale.\nOptimize platform performance, scalability, and cost efficiency as adoption grows.\nContribute to long-term architectural direction and mentor engineering team members.\n\nRequirements - Essential\n3+ years designing and operating large-scale semi-distributed data platforms (hybrid centralised and distributed) in cloud or hybrid environments.\nProven experience architecting modern data systems (lakehouse, data mesh, or equivalent) supporting both analytical (descriptive and predictive) and operational workloads.\nDeep hands-on expertise with distributed processing frameworks (e.g., Spark) and streaming/event systems (e.g., Kafka or similar).\nStrong experience building secure, governed data environments with robust access controls, encryption, lineage, and audit capabilities.\nExperience designing secure data platforms in regulated or government environments, with strong understanding of compliance, auditability, and data protection standards.\nExperience integrating heterogeneous data sources, including legacy systems, APIs, telemetry/IoT systems, and relational databases.\nDemonstrated ability to design highly available, observable, production-grade data systems.\nExperience enabling machine learning and advanced analytics through robust data infrastructure and feature pipelines.\nStrong proficiency in Python, SQL, and ideally DBT with a track record of writing clean, production-quality code.\nExperience deploying and operating solutions in AWS, Azure, or GCP, including CI/CD and infrastructure-as-code is beneficial.\nAbility to operate effectively in complex, multi-stakeholder environments.\nStrong systems-thinking mindset with a focus on scalability, modularity, and long-term platform evolution.\nExperience designing data platforms in U.S. public sector or highly regulated environments, with working knowledge of applicable federal and state data privacy and security requirements (e.g., HIPAA, CJIS, FERPA, state-level privacy acts), and the ability to embed compliance, auditability, and data governance principles into architectural design.\nLocation\nThis role is not a remote position. We would require our Data Engineer to be able to travel to client sites in Baltimore 4 days a week minimum.\nPersonal Attributes\nClient Centricity & Integrity: We let Our Clients Run the Company, Surf Like Yvon to stay true to our values, and Play the Long Game with integrity.\nCollaboration and Inclusion: We live by Each One, Teach Ten and ensure Everybody is Welcome.\nOperational Excellence and Simplicity: We K.I.S.S. by keeping things simple while always striving to Raise the Bar.\nAction, Ownership, and Execution: We Decide, Get Stuff Done, and Do Hard Things with accountability.\n Growth, Innovation, and Resilience: We Choose Growth, Pioneer boldly, and remember There is No Failure.\nDue to the considerable amount of virtual work and interaction with colleagues and customers in different physical locations internationally, it is essential that the successful applicant has the drive and ethic to succeed in working in small teams physically but in larger efforts virtually. Self-drive to communicate constantly using web collaboration and video conferencing is essential.","description_format":"text","description_chars":6542,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Simulation & Digital Twin Software","IT Consulting & Digital Transformation","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-07-09T12:06:22Z"}],"visa":[],"liveness":{"score":45,"band":"ok","label":"Likely open","p_open":1,"p_active":0.755,"p_room":0.6,"age_days":109,"expected_fill_days":126,"reasons":["conf:2","velocity","win:late","crowd:"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/sandtechholdings-data-engineer","json_url":"https://alion.io/job/sandtechholdings-data-engineer.json","meta":{"generated_at":"2026-10-27T12:09:27Z","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":14554,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"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":3417},"rest":"https://alion.io/mcp/rest/get_company?id=3417"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsandtechholdings-data-engineer"},{"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%2Fsandtechholdings-data-engineer"},{"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%2Fsandtechholdings-data-engineer"},{"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/sandtechholdings-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsandtechholdings-data-engineer"}]}