{"id":19547,"url":"https://alion.io/job/lg-ad-solutions-senior-software-engineer-measurement-reporting","title":"Senior Software Engineer, Measurement & Reporting","company":{"id":2095,"name":"LG Ad Solutions","domain":"lgads.tv","url":"https://alion.io/company/lg-ad-solutions","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":93,"open_postings":11,"ghost_share":0,"stale_share":0.091,"repost_share":0,"time_to_fill_p50_days":129,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","Denver, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":165000,"max_usd":307000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3667},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Redis","optional":false},{"name":"Scala","optional":false},{"name":"Semantic Search","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-06-16T15:19:50Z","employer_posted_date":"2026-06-16","last_verified_at":"2026-10-31T22:19:15Z","board_verified":true,"closed_at":null,"days_open":137,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":136},"description":"We require people to be on-site, 4 days/week at our Manhattan or Denver office and are unable to offer relocation support. LG Ad Solutions\nLG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape.\nThe Opportunity\nWe are seeking a talented and motivated Senior Software Engineer I to join our Measurement and Reporting team. We enable our clients to visualize their impact across different verticals and empower our sales and operations teams to identify opportunities and address shortcomings during campaign execution.\nYou will primarily work on designing, building, and maintaining large-scale data platforms and pipelines that power our reporting, analytics, and AI-driven solutions. In addition, you will contribute to the development of agentic AI applications that help automate workflows, enhance operational efficiency, and unlock new capabilities across the organization. You may also occasionally work on frontend applications to deliver end-to-end solutions and improve user experiences.\nIf you're passionate about building scalable data systems, leveraging AI technologies, and solving complex engineering challenges at scale in the AdTech space, we want to hear from you!\nResponsibilities\nDesign, develop, deploy, and maintain scalable data pipelines, ETL/ELT workflows, and data processing systems supporting reporting, analytics, and machine learning applications.\n\nBuild and optimize batch and real-time data processing solutions using modern data engineering frameworks and cloud-native technologies.\n\nDesign and maintain data models, data warehouses, and data lakes to ensure high-quality, reliable, and accessible data.\n\nDevelop and maintain integrations between internal and external systems, ensuring efficient data movement and consistency across platforms.\n\nBuild and enhance agentic AI applications, leveraging LLMs, AI agents, orchestration frameworks, and automation workflows to solve business problems.\n\nCollaborate with product, analytics, operations, and engineering teams to identify opportunities for AI-driven automation and intelligent decision-making.\n\nContribute to backend services and APIs that support data products, reporting applications, and AI-powered solutions.\n\nOccasionally develop frontend features and dashboards to support internal and customer-facing applications.\n\nMonitor, troubleshoot, and optimize data pipelines and AI systems for performance, reliability, scalability, and cost efficiency.\n\nImplement data governance, quality checks, monitoring, and observability practices to ensure data integrity and operational excellence.\n\nConduct code reviews, provide constructive feedback, and promote engineering best practices across the team.\n\nMentor junior engineers and contribute to a culture of continuous learning, innovation, and technical excellence.\n\nRequirements\nBachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.\n\n5+ years of experience in data engineering, software engineering, or a related technical role.\n\nStrong experience building and maintaining large-scale data pipelines and distributed data processing systems.\n\nProficiency in Python and SQL, with experience developing production-grade data solutions.\n\nExperience with modern data platforms and technologies such as Databricks, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, or similar technologies.\n\nStrong understanding of data modeling, data warehousing, and data lake architectures.\n\nExperience working with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Redis).\n\nFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud.\n\nExperience building APIs and backend services.\n\nFamiliarity with Generative AI technologies, AI agents, prompt engineering, retrieval-augmented generation (RAG), and agent orchestration frameworks.\n\nDemonstrated ability to stay current with AI tools and emerging technologies, with a strong aptitude for rapidly learning and adopting new frameworks.\n\nProficiency in writing and maintaining unit tests, integration tests, and end-to-end tests.\n\nAbility to coordinate and work with contractors/consultants while owning the quality and delivery of assigned projects.\n\nPreferred\nFamiliarity with AdTech.\n\nExperience with Scala/PySpark and distributed data processing frameworks.\n\nExperience with Databricks and Delta Lake.\n\nExperience building production AI applications using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies.\n\nFamiliarity with vector databases and semantic search technologies.\n\nExperience with CI/CD pipelines and Infrastructure as Code\n\nFamiliarity with containerization (Docker) and orchestration platforms (Kubernetes).\n\nExposure to frontend technologies such as React, TypeScript, or modern JavaScript frameworks.\n\nExperience with observability, monitoring, and data quality tools.\n\nLG Ad Solutions provides equal work opportunities to all team members and applicants and prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.\nWe want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to  to let us know the nature of your request.\nApplication Deadline: December 31, 2026\nCompensation & Benefits\nTier 1* (San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area)$154,000 - $220,000/year\n\nTier 2* (all other U.S. Locations outside of Tier 1)$135,000 - $192,500/yr\n\nOffers Bonus\n\nBenefits & Perks: 100% employer-paid medical, dental, and vision coverage for employees and eligible dependents. Company-paid life and AD&D, STD and LTD insurance, plus optional supplemental coverage. 401(k) with company match. Flexible Time Off (FTO). Paid parental leave.\n\n*Certain markets, including the San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area, are aligned to Tier 1 compensation bands. All other U.S. locations are aligned to Tier 2 compensation bands. 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