{"id":2466877,"url":"https://alion.io/job/v4c-data-engineer-onshore","title":"Data Engineer-Onshore","company":{"id":4416653,"name":"v4c","domain":"v4c.ai","url":"https://alion.io/company/v4c","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"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":108000,"max_usd":233000,"period":"year","method":"role_country_seniority_unknown","sample_n":2952},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"DuckDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Keras","optional":false},{"name":"LangChain","optional":false},{"name":"LangSmith","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pandas","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Delta Lake","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-13T18:51:33Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T22:35:44Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nThe Senior Data Engineer plays a key role in advancing the company's AI strategy by designing, developing, and optimizing scalable data platforms. This role focuses on data engineering as part of the AI team, contributing to technical development, data architecture, pipeline optimization, and actionable intelligence. The ideal candidate will have expert-level experience with Databricks, strong software engineering capabilities, and a proven ability to build robust, secure, and scalable data systems. The Senior Data Engineer will work closely with cross-functional teams to deliver high-quality data solutions, optimize production pipelines, and support AI and machine learning capabilities.\nResponsibilities\nDesign, develop, refine, and implement high-quality data architecture solutions for large-scale, complex data platforms.\nEstablish best practices for writing modular, reusable, maintainable, and scalable data engineering code.\nDevelop and maintain greenfield data engineering projects and production-level data pipelines.\nDesign data-driven solutions to address complex cybersecurity challenges.\nArchitect end-to-end data platforms by evaluating technical approaches, trade-offs, risks, and performance requirements.\nWork hands-on with engineers to implement data architecture and pipeline solutions.\nCollaborate with DevOps and MLOps teams to monitor and optimize data pipelines and machine learning workflows.\nImprove model and pipeline performance through monitoring, troubleshooting, and tuning to meet latency and cost requirements.\nEvaluate third-party AI tools against internally developed solutions to maximize business value and return on investment.\nEstablish data governance, data quality, and security standards to ensure the ethical and compliant use of sensitive information in AI models.\nDevelop and implement incremental development strategies and production release plans aligned with the long-term product vision.\nServe as the subject matter expert in data engineering for the AI team.\nEnsure data pipelines are reliable, scalable, secure, and optimized for production workloads.\nQualifications\nBachelor’s degree in Engineering, Computer Science, or a related technical field.\nAdvanced degree in Engineering, Computer Science, Machine Learning, or Artificial Intelligence is preferred.\nStrong experience working as an individual contributor with a hands-on engineering mindset and a focus on delivery.\nAt least 4 years of experience working with data platform solutions across data and analytics throughout the software development life cycle (SDLC).\nAt least 2 years of experience designing and mapping requirements into Databricks data pipeline capabilities on Google Cloud Platform (GCP).\nHands-on experience with Databricks Lakehouse architecture, including Databricks Datalake and Data Catalog capabilities.\nExperience designing Databricks Medallion Architecture, including data structure, data access, and data quality decisions.\nStrong experience with batch, mini-batch, and real-time data processing, including trade-offs and best practices.\nHands-on experience with ELT/ETL processes, data pipelines, and orchestration tools.\nExperience processing large volumes of unlabeled data with complex schemas.\nStrong understanding of data modeling techniques and modern data platform trends, including AI applications in data engineering.\nProficiency in Python, Pandas, PySpark, and related data processing frameworks.\nExperience with AI and machine learning tools such as TensorFlow, PyTorch, Keras, LangChain, LangSmith, and Infrastructure as Code (IaC).\nExperience working with structured and unstructured data formats, including Parquet, PostgreSQL, DuckDB, JSON, and PDF.\nExperience with infrastructure sizing and estimation for data platform solutions.\nPreferred Qualifications\nExperience in cybersecurity, automotive, energy, or healthcare industries.\nExperience working in both large enterprises (more than 10,000 employees) and small companies (fewer than 200 employees).\nFamiliarity with supervised and unsupervised machine learning models.\nExperience with AI-driven data engineering solutions and integration of AI capabilities into data platforms.\nKnowledge of data governance, security, and compliance best practices.\nTechnical Skills\nData Engineering: Data architecture, ETL/ELT, pipeline development, orchestration, data modeling, and data quality.\nDatabricks: Lakehouse architecture, Delta Lake concepts, data cataloging, Medallion Architecture, and production pipeline optimization.\nCloud Platform: Google Cloud Platform (GCP) and cloud-based data platform design.\nProgramming: Python, PySpark, Pandas, and SQL.\nData Processing: Batch, mini-batch, and real-time processing.\nData Formats and Databases: Parquet, PostgreSQL, DuckDB, JSON, and PDF.\nAI and Machine Learning: TensorFlow, PyTorch, Keras, LangChain, and LangSmith.\nInfrastructure: Infrastructure as Code, infrastructure sizing, performance optimization, and cost management.\nProduction Engineering: Monitoring, troubleshooting, release planning, scalability, and reliability.\nSoft Skills & Core Competencies\nExcellent verbal and written communication skills.\nStrong collaboration skills and ability to work effectively with Product, Engineering, Field, and other cross-functional teams.\nStrong analytical thinking and problem-solving abilities, with the capacity to analyze complex issues and develop innovative solutions.\nStrong self-management skills and ability to prioritize tasks and manage time effectively.\nA proactive approach to work, with the ability to take ownership and initiative.\nAbility to work independently while contributing effectively to team objectives.","description_format":"text","description_chars":5697,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Information Security"],"lifecycle":[{"event":"open","at":"2026-10-13T18:51:33Z"}],"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":27,"reasons":["conf:1","win:early"],"computed_at":"2026-10-13T23:41:45Z"},"pay":null,"html_url":"https://alion.io/job/v4c-data-engineer-onshore","json_url":"https://alion.io/job/v4c-data-engineer-onshore.json","meta":{"generated_at":"2026-10-13T23:41:45Z","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":36111,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":4416653},"rest":"https://alion.io/mcp/rest/get_company?id=4416653"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fv4c-data-engineer-onshore"},{"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%2Fv4c-data-engineer-onshore"},{"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%2Fv4c-data-engineer-onshore"},{"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/v4c-data-engineer-onshore\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fv4c-data-engineer-onshore"}]}