{"id":467891,"url":"https://alion.io/job/urban-sdk-data-engineer","title":"Data Engineer","company":{"id":179784,"name":"Urban SDK","domain":"urbansdk.com","url":"https://alion.io/company/urban-sdk","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":90000,"max_usd":167000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":108},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"PostGIS","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prefect","optional":true}],"status":"live","first_seen_at":"2026-01-07T20:35:57Z","employer_posted_date":"2026-01-07","last_verified_at":"2026-10-30T03:24:43Z","board_verified":true,"closed_at":null,"days_open":295,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":294},"description":"About Urban SDK\nUrban SDK is shaping the Future of Smart Cities. We are pioneers in geospatial AI technology, providing public leaders with insights and automation for mission-critical decisions. We equip critical public services with geospatial AI, enabling precise, data-driven decisions with efficiency and confidence.\nOur Commitment to People\nWe are committed to aligning business growth with professional outcomes for every employee. Our commitment has been recognized by Jacksonville Business Journal and Will Reed as a noted Best Places to Work.\nAbout the role\nWe are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that support our geospatial traffic analytics applications. The ideal candidate will have experience with Python, Databricks, S3, and modern data engineering practices, including automated testing, CI/CD, and data quality monitoring.\nResponsibilities\nDesign, implement, and maintain scalable data pipelines and ETL/ELT workflows on Databricks and cloud platforms.\nManage large-scale geospatial and temporal datasets stored in AWS S3.\nCollaborate with data scientists to productionize machine learning models and ensure smooth data availability.\nImplement data validation, testing, and monitoring frameworks to ensure data accuracy, consistency, and reliability.\nOptimize data storage and processing strategies to handle high volumes of traffic and mobility data efficiently.\nDevelop and maintain documentation for data workflows, architecture, and processes.\nWork closely with cross-functional teams to understand data requirements and ensure timely delivery.\nStay up-to-date with the latest trends and best practices in data engineering, cloud technologies, and big data processing.\nQualifications\nBachelor's or Master's degree in Computer Science, Data Engineering, or a related field.\n3+ years of experience as a data engineer or in a similar role.\nStrong proficiency in Python and associated libraries for data engineering (pandas, PySpark, etc.).\nHands-on experience with Databricks and Spark for large-scale data processing.\nExperience with AWS services, especially S3, and knowledge of cloud-based data architectures.\nSolid understanding of data pipeline testing, version control, and CI/CD practices.\nExperience with SQL and NoSQL databases.\nStrong problem-solving skills and attention to detail.\nPreferred Skills\nFamiliarity with geospatial data formats and processing (GeoJSON, Shapefiles, PostGIS).\nExperience with workflow orchestration tools (Databricks, Prefect, or similar).\nKnowledge of containerization (Docker/Kubernetes) and cloud-native data solutions.\nExperience supporting machine learning pipelines in production.\nCompensation\nLocation: Jacksonville, FL (Town Center Area) or Remote\nType: Full-time\nReports to: Director of Engineering\nSalary Based on Experience \nAnnual Bonus\nMedical, Vision, Dental, 401(k) \n21 Days Vacation\nOffice Lunch provided Daily","description_format":"text","description_chars":2956,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Navigation & Mapping"],"lifecycle":[{"event":"open","at":"2026-09-06T12:26:42Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"Filed H-1B visas in the last two 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