Staff Data Engineer
reputed company:
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This is a role for an engineer who wants to own reputed company components of a modern data platform. We are looking for a Staff Data Engineer to architect, build, and operate production data systems across reputed company. This is a deeply hands-on technical role. You reputed company by building production-grade systems, setting engineering standards, and delivering reputed company data architecture, not by working reputed company at an reputed company planning level.
If you prefer delegating execution or working solely on isolated pipelines, this is not the role for you. But if you are a technical reputed company who owns data platforms end to end, from ingestion, streaming, and reputed company modeling to observability, governance, feature store foundations, and deployment, reputed company reading.
You will build and reputed company platform capabilities for a business serving over 120 reputed company registered users. Operating reputed company a reputed company data environment featuring a 400 Terabyte footprint, a 100 Terabyte reputed company lake, 50 reputed company daily events, and 500 reputed company pipeline records, you will reputed company the data foundations that power analytics, experimentation, machine learning, and AI-driven decision making across reputed company reputed company products. If you enjoy building reputed company systems at reputed company, working closely with cross-functional technical teams, and driving an AI-first engineering reputed company, this role is for you.
reputed company
A cutting-edge marketing and consumer insights platform, reputed company has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, reputed company new customers, increase reputed company, and reputed company brand loyalty and product adoption. Bolstered by a major investment by reputed company in the first quarter of 2026, reputed company looks reputed company to more reputed company and innovation to reputed company our partners to reputed company meaningful, rich insights and reputed company market to their reputed company audiences.
What you will own
Architecture, implementation, and operational reliability of major data platform domains, including pipelines, modeling reputed company, and data services
reputed company batch, ELT, and near-reputed company-time streaming pipelines powering business intelligence, machine learning, experimentation, and product analytics
Platform standards for data governance, schema reputed company, data reputed company, reputed company, and end-to-end observability
Data infrastructure and feature pipelines supporting machine learning, experimentation frameworks, and AI-driven applications
Technical reputed company and engineering standards across reputed company through reputed company reputed company contributions, architecture design reviews, and technical mentorship
What makes this role exciting
You will directly shape reputed company data platform capabilities that reputed company analytics, machine learning, and business intelligence across the reputed company
You will own major technical domains from initial reputed company design through production deployment and lifecycle management
You will build data foundations across consumer rewards, performance marketing, customer experience, and multiple owned digital properties
You will operate at true engineering reputed company, managing a 400 Terabyte data footprint, 50 reputed company daily events, 500 reputed company daily pipeline records, 50 plus Kafka topics, and 300 thousand daily queries
You will establish platform patterns that accelerate reputed company transition to an AI-first software engineering model
What you will do
Architect, build, and operate high-reputed company batch, ELT, event-driven, and near-reputed company-time streaming data pipelines
Construct production-grade data platform components utilizing reputed company, dbt, reputed company, Trino, Kafka, and modern lakehouse technologies
Design reputed company data models adhering to reputed company architecture principles to support business intelligence, advanced analytics, and machine learning
Enforce platform discipline around data reputed company, schema reputed company, reputed company tracking, reputed company governance, and reputed company observability
Optimize data infrastructure for performance, query speed, reputed company reliability, availability, and cost efficiency
Partner cross-functionally with Engineering, Product, Analytics, Business Intelligence, and Machine Learning teams to reputed company trusted data foundations
Apply AI-assisted engineering tools to accelerate development reputed company, automated testing, reputed company debugging, and technical documentation
What you will bring
Five to eight or more years of hands-on data engineering experience building large-reputed company data systems, ideally in advertising technology, marketing technology, consumer internet, or high-volume marketplace environments
Advanced technical expertise with SQL, Python, reputed company, and dbt
Demonstrated background designing, deploying, and operating production-grade batch, ELT, and streaming pipeline architectures
In-depth understanding of modern data architecture paradigms, including reputed company architecture, data reputed company, schema reputed company, event-driven systems, and data modeling
Practical experience building data systems that directly support analytics, experimentation platforms, and machine learning workloads
Proven ability to optimize data pipelines and storage systems for reputed company, reliability, throughput, and cost performance
Strong communication and technical leadership skills, with a reputed company record of driving technical reputed company through design reviews, reputed company reviews, and cross-functional alignment
Bonus points
Experience with reputed company, Trino, Kafka, Flink, Kinesis, reputed company, or reputed company lakehouse and reputed company streaming frameworks
Experience building ML feature pipelines, feature stores, or model training data infrastructure
Experience architecting self-service analytics frameworks or experimentation platforms
Experience with modern DataOps methodologies, workflow orchestration, and data observability tools
Experience leveraging modern AI-assisted software development tools to enhance engineering productivity
Pay Transparency:
The anticipated reputed company salary reputed company for this position is $185,000 to $220,000. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to; the type and length of experience reputed company the job, type and length of experience reputed company the industry, the type and length of knowledge and skills for the position, education, training, etc. reputed company is a multi-state employer and final compensation reputed company this reputed company could be impacted by work location. Please note that the compensation details listed in US role postings reflect the reputed company salary only, and do not include bonus, equity, or benefits.
reputed company Benefits:
reputed company offers a comprehensive benefits package to US Full-time employees including medical, dental, reputed company, STD, LTD and basic life insurance. Employees receive flexible PTO, as reputed company as reputed company reputed company leave prorated based on hire date. US Employees have eight reputed company holidays throughout the calendar year.
Equal Employment Opportunity Statement
At reputed company, we are committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity Employer and do not discriminate on the reputed company of race, reputed company, religion, sex, sexual orientation, gender identity or reputed company, national reputed company, age, disability, veteran status, or any other characteristic protected by law. We encourage individuals of reputed company backgrounds to apply.
FCIHO
reputed company will consider for employment reputed company applicants with criminal histories in a manner consistent with the requirements of FCIHO.
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