{"id":1678419,"url":"https://alion.io/job/l3harris-technologies-lead-data-engineer","title":"Lead, Data Engineer","company":{"id":177017,"name":"L3Harris Technologies","domain":"l3harris.com","url":"https://alion.io/company/l3harris-technologies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Melbourne, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":127000,"max":236500,"currency":"USD","period":"year","gross":null,"usd_annual":236500},"salary_estimate":null,"experience_years_min":13,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure Data Factory","optional":false},{"name":"Cortex","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"TypeScript","optional":false},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-09-09T00:00:00Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-05T00:45:52Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"Job Title: Lead, Data Engineer\nJob Code: 44182\nJob Location: Melbourne, FL or Remote Opportunity\nJob Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off\nJob Description:\nL3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and developing dashboards to provide actionable insights for the enterprise within Palantir Foundry. This position will support the company’s modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.\nEssential Functions:\nProvide architectural oversight for the company’s data platform and related initiatives, ensuring alignment with company standards and best practices\nAssist development initiatives with design reviews, offering guidance on architecture and data modeling\nLead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability\nAssist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC)\nSupport the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards\nOversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance\nUtilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale\nCollaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise\nRemain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture\nQualifications:\nBachelor’s Degree and minimum 9 years prior Palantir experience or Graduate Degree and a minimum of 7 years of prior Palantir experience In lieu of degree, minimum 13 years of prior Palantir experience.\nMinimum of 4 years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.\nMinimum of 4 years of experience in Data Integration.\nPreferred Additional Skills:\nExperience supporting or implementing solutions that leverage Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration\nExperience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst\nUnderstanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies\nExperience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages\nExperience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar\nHands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQL\nFamiliarity with SDLC processes and architecture review or data governance board processes\nIn compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $127,000-$236,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $110,500-$205,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.\n#LI-Remote","description_format":"text","description_chars":4600,"description_truncated":false,"requirements":{"experience_years_min":13,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Education assistance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Government","Military","Science & Engineering","National Security"],"lifecycle":[{"event":"open","at":"2026-10-02T09:08:25Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5","filings_12m":5,"filings_prev_12m":7,"green_card_filings_12m":0,"median_offered_wage_usd":107500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":39,"band":"fade","label":"Fading","p_open":1,"p_active":0.711,"p_room":0.55,"age_days":25,"expected_fill_days":18,"reasons":["conf:11","velocity","win:tail","comp:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":{"stated_usd_annual":236500,"is_top_pay":true},"html_url":"https://alion.io/job/l3harris-technologies-lead-data-engineer","json_url":"https://alion.io/job/l3harris-technologies-lead-data-engineer.json","meta":{"generated_at":"2026-10-05T01:37:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2125,"day_limit":5000,"remaining_today":2875,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}