{"id":2707957,"url":"https://alion.io/job/itd-tech-data-engineer-iii-6348","title":"Data Engineer III-6348","company":{"id":1758514,"name":"itD Tech","domain":"itdtech.com","url":"https://alion.io/company/itd-tech","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":48,"max":null,"currency":"USD","period":"hour","gross":null,"usd_annual":96000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"Dagster","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"Presto","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Teleoperation","optional":false},{"name":"Trino","optional":false},{"name":"Multimodal AI","optional":true},{"name":"ROS","optional":true},{"name":"Time Series Forecasting","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-16T10:07:32Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-16T17:23:49Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Data Engineer III\nitD is seeking a Data Engineer to design, build, and own the data models, pipelines, and reporting behind a large-scale robot teleoperation and wearable data collection operation at a leading global technology company, replacing manual operational reporting with automated, trustworthy systems. The ideal candidate will bring deep experience in dimensional modeling, production pipeline ownership, and distributed SQL and Python, and a track record of delivering reliable reporting infrastructure and metrics that leadership trusts.\nLocation: Remote (US).\nPay Rate: $48.60/hr Depends on Experience\nDuration: 12 months, full time (40 hours/week), start ASAP, with a strong possibility of extension or conversion.\nWe provide comprehensive medical benefits, a 401k plan, paid holidays, and more.\nPlease note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.\nResponsibilities\nDesign and own dimensional data models covering collection volume, operator efficiency, data quality, and equipment uptime across multiple collection methods, and build the daily and cumulative table layers that let recurring reporting be derived automatically.\nDefine and document canonical metric definitions so key terms mean one consistent thing across dashboards, internal apps, and leadership reporting, and drive alignment when teams disagree.\nBuild and extend batch data pipelines from operational source systems through daily snapshots to cumulative dimension tables; own correctness, freshness, and backfill of every reported metric and resolve discrepancies against source data.\nBuild automated data-quality checks, anomaly detection, and freshness SLAs, and own backfill and restatement strategy (including communicating restatements to stakeholders) when definitions or upstream sources change.\nBuild and own dashboards and internal reporting views, including live fleet-status views and automatically generated daily operational briefs, plus lightweight input interfaces that pair human context with automated metrics.\nAutomate recurring operational workflows such as daily production reporting, equipment status and maintenance tracking, and weekly metrics-review assembly, replacing manual processes with trustworthy systems.\nPartner directly with site leads, operators, program managers, and engineers across two U.S. sites to turn operational questions into durable data models, support daily and weekly operating cadences, and deliver defensible ad-hoc analysis for leadership.\nInternal Responsibilities\nAttend regular internal practice community meetings.\nCollaborate with your itD practice team on industry thought leadership.\nComplete client case studies and learning material (blogs, media material).\nBuild out material to contribute to the Digital Transformation practice.\nAttend internal itD networking events (in person and virtual).\nWork with leadership on career fast-track opportunities.\nRequired Qualifications and Skills\nBS in Computer Science, Data Engineering, or a related technical field.\n5+ years of professional data engineering experience.\nStrong Python and strong SQL, including query performance on very large partitioned tables in a distributed query engine (Presto, Trino, Spark SQL, BigQuery, Snowflake, or similar).\nDimensional modeling and data warehouse design: star schema, slowly changing dimensions, incremental and cumulative table patterns.\nPipeline orchestration experience with scheduled workflows, dependency management, retries, and backfill (Airflow, Dagster, or equivalent).\nDemonstrated ownership of a production data pipeline, accountable for correctness, freshness, and backfill.\nExperience defining and documenting metrics as an organizational source of truth for a non-technical audience.\nExperience building or owning dashboards in a BI tool (Tableau, Looker, Power BI, or equivalent).\nComfortable working in a large shared codebase with code review and CI.\nStrong written communication and the ability to partner with non-technical operational and senior stakeholders (up to director level) in an ambiguous environment.\nPreferred Qualifications and Skills\nExperience in a physical operations, manufacturing, logistics, or fleet environment (uptime, utilization, yield, throughput, downtime attribution).\nWorking knowledge of TypeScript/React, enough to make contained changes to an existing internal web app.\nExperience with robotics, sensor, or time-series data (e.g., ROS bags, MCAP).\nExperience with multimodal or unstructured data at scale (video, sensor streams) and the metadata layer built over it.\nFamiliarity with large-scale object storage systems.\nPrior experience supporting a data-collection, annotation, or labeling operations team.\nStartup or smaller-company background with exposure to back-end systems and cross-team work.\nEducation\nBS in Computer Science, Data Engineering, or a related technical field required.\nCompany Description\nAbout itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You’ll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints.\nThe itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit https://itdtech.com/careers to learn more about what working at itD can mean for you.\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at  and let us know the nature of your request and your contact information.\nAdditional Info\nDynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!","description_format":"text","description_chars":7032,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-16T13:08:41Z"}],"visa":[],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":0,"expected_fill_days":22,"reasons":["conf:0","agency","win:early"],"computed_at":"2026-10-16T18:07:50Z"},"pay":{"stated_usd_annual":96000,"is_top_pay":false},"html_url":"https://alion.io/job/itd-tech-data-engineer-iii-6348","json_url":"https://alion.io/job/itd-tech-data-engineer-iii-6348.json","meta":{"generated_at":"2026-10-16T18:07:50Z","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":3023,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":1758514},"rest":"https://alion.io/mcp/rest/get_company?id=1758514"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fitd-tech-data-engineer-iii-6348"},{"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%2Fitd-tech-data-engineer-iii-6348"},{"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%2Fitd-tech-data-engineer-iii-6348"},{"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/itd-tech-data-engineer-iii-6348\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fitd-tech-data-engineer-iii-6348"}]}