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$162k–$240k/yr
Full-time
bachelor degree, postgraduate degree
Medical coverage, Dental coverage, Vision coverage, Life insurance, AD&D insurance, Short-term disability insurance
Posted 6d ago
~40 hrs/week
Responsibilities
Design, develop, and deploy scalable ad serving and measurement systems while optimizing big data applications for performance and reliability. Lead and mentor junior engineers while collaborating cross-functionally to align on technical roadmaps and project delivery.
Requirements
Requires a Bachelor's or Master's degree in Computer Science or a related field along with 5+ years of experience in large-scale software systems. Proficiency in programming languages like Scala, Go, or Python and experience with cloud and big data technologies are essential.
Full job description
We require people to be on-site, 4 days/week at our NYC or Denver office and are unable to offer relocation support.
LG Ad Solutions
LG 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.
The Opportunity:
We are looking for a Senior Software Engineer II to join our dynamic engineering team in either our NYC or Denver offices. This role will focus on building and optimizing large-scale ad serving, measurement, and targeting systems that drive over $500M in revenue. Specifically, you'll be working on tools used by our clients to develop their customer segmentation strategies. You'll be part of a collaborative environment that leverages data engineering and distributed systems to power LG Ad Solutions' global CTV advertising platform.
This is more than just a coding role. You will work closely with Product, Operations, and other Engineering teams to design, implement, and deploy scalable solutions across our ad tech stack. This role will also entail collaboration with our developer teams in India. This is a hands-on role that provides opportunities to lead impactful projects, mentor peers, and work with cutting-edge technologies in a fast-paced, data-driven environment.
Responsibilities:
Design, develop, and deploy scalable ad serving and measurement systems supporting large data volumes and high throughput.
Implement and optimize big data applications for performance, reliability, and cost-efficiency.
Drive end-to-end ownership of projects from requirement gathering and design through delivery, monitoring, and maintenance.
Lead and mentor junior engineers, fostering growth and innovation through code reviews, design guidance, and continuous learning.
Champion best engineering practices and promote a culture of quality, operational excellence, and accountability within the team.
Collaborate cross-functionally with Product, Operations, and other Engineering teams to align on requirements and delivery timelines.
Work on integrations with internal and external platforms to enhance targeting and measurement capabilities.
Contribute to system architecture design, long-term technical vision, and roadmap planning.
Requirements:
Bachelor's or Master's degree or relevant experience in Computer Science, Engineering, or a related field.
5+ years of experience developing and maintaining large-scale, high-quality software systems.
Proficiency in one or more programming languages such as Scala, Go, Python, C++, or JavaScript, along with a strong knowledge of fundamental Computer Science concepts.
Experience working with technologies like Spark/Databricks, MySQL, Redis/ElastiCache, ReactJS, Kubernetes, and AWS.
Ability to independently understand, contribute to, and refactor large codebases.
Strong understanding of data structures, algorithms, and system design.
Collaborate closely with engineering teams in India to deliver high-quality solutions, share technical knowledge, and drive successful project execution.
Preferred:
Prior experience scaling distributed computing and big data systems.
Proven track record of technical leadership in complex projects.
Experience working in a distributed global team environment and mentoring junior engineers.
LG Ad Solutions provides equal work opportunities to all team members and applicants, and it 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.
We 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 [email protected] to let us know the nature of your request.
Application Deadline: September 8, 2026
Compensation & Benefits
Tier 1 (San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area)$185,000 - $240,000/year
Tier 2 (all other U.S. Locations outside of Tier 1) $162,000 – $210,000/yr
Offers Bonus
Benefits & 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.
*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 -including Denver - are aligned to Tier 2 compensation bands. The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience.
We’re a leader in helping brands find unduplicated reach across a fragmented TV landscape, and maximize return on ad spend. We bring together years of experience in delivering premium home entertainment products to consumers worldwide, with big data and Video AI designed to connect brands with audiences across all screens.
Our platform brings together the two best TV industry leaders’ technologies and devices, to create one platform for activating and measuring media across connected TVs and digital video. Our actionable insights help marketers fine tune cross-screen campaigns in flight; and understand ad performance to optimize media buys.
Advertisers now have a single source for LG CTV inventory, with one-stop planning, activation and measurement across all viewing platforms. With our premium LG smart TV ad inventory, combined with deterministic TV data from a broad range of smart TV brands, LG Ad Solutions stands out for its expertise in reaching both massive-scale and granular custom audience segments, and for helping brands understand business outcomes from TV.
Offices: 444 Castro St, Mountain View, California 94041, US · 500 7th Ave, New York, 10018, US · Salarpuria Sattva Knowledge Court, G-Floor, Wing B, Office 2, Brookefield, Bangalore, Karnataka 560048, IN · Aviation House, 125 Kingsway, London, England WC2B 6NH, GB · 12130 Millennium Dr, Los Angeles, California 90094, US
advertisingtv viewership datatv advertisinganalyticsconsumer insightsattributionmarket researchtv data measurementretargetingtv data
How much do Data & Analytics jobs in Denver, CO pay?
Based on 720 listings with disclosed salaries, most data & analytics jobs in Denver, CO pay between $73k–$175k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Denver, CO right now?
There are currently 787 open data & analytics positions in Denver, CO listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Denver, CO?
Companies currently hiring include DaVita Kidney Care, Capital Rx, Ibotta, Fivetran, Amazon, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Denver, CO?
Yes — 473 of the 787 open data & analytics positions offer remote or hybrid work (128 remote, 345 hybrid).
How do I apply for Data & Analytics jobs in Denver, CO?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.