This role supports mobile marketing analytics operations and the data systems that power marketing measurement, attribution, and reporting. It combines production analytics operations with analytics engineering development, balancing the support of existing data systems with the design and implementation of new data solutions.
Compensation
In the U.S., the standard base pay range for this role is $79,200.00 - $146,504.00 Annual.
Responsibilities
Own the operation, reliability, and continuous improvement of marketing analytics data pipelines, data products, and related systems.
Investigate and resolve data quality issues, pipeline failures, and reporting discrepancies through root-cause analysis and remediation.
Design, develop, and maintain data pipelines, transformations, analytical datasets, and reporting-ready data assets using SQL and Python.
Partner with analytics, engineering, and business stakeholders to understand requirements, communicate findings, and deliver effective solutions.
Senior Unix/Linux Engineer responsible for installing, upgrading, migrating servers, managing automation, and ensuring reliability of enterprise environments across on‑premises and Azure Cloud.
Locations (2)
Philippines
Indonesia
Compensation
Salary Range Philippines: $2,300-$2,900 (USD) per month + vacation
Salary Range Indonesia: $1,500-$2,300 (USD) per mont + vacation + benefits
Responsibilities
Design, develop, and maintain automation workflows using Ansible
Manage and optimize Linux-based systems
Install, upgrade, and migrate servers on Linux, Unix, and AIX platforms
Develop Ansible playbooks, roles, and modules
Integrate Ansible automation with CI/CD pipelines
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
The Director of Data Trust will lead data governance providing both strategic and operational leadership across the enterprise data warehouse, business intelligence (BI) ecosystem, and analytical products, ensuring that data is reliable, secure, well‑understood, and responsibly used.
Compensation
$100,000.00 - $375,000.00 Annually
Responsibilities
Define and execute a multi-year Data Trust and Data Governance roadmap aligned to organizational strategy, clinical and operational priorities, research needs, and AI initiatives.
Integrate data governance into broader Data & Analytics, digital, and AI strategies, ensuring governance efforts are sequenced, scalable, and outcome driven.
Ensure governance standards are consistently applied throughout the data asset lifecycle, including acquisition, integration, validation, use, maintenance, and archival.
Provide thought leadership on modern governance practices that balance innovation with risk management and regulatory compliance.
Promote enterprise-wide adoption of repeatable governance standards rather than one-off solutions.
Lead Software Engineer responsible for designing, developing and delivering cloud‑native applications for CPP Investments’ capital markets and treasury platforms.
Responsibilities
Lead the architecture, design, development and deployment of scalable, resilient, and secure applications using Java and AWS
Lead, mentor and develop a team of 7–8 software engineers
Establish engineering standards and advance cloud‑native development, Infrastructure as Code, microservices and event‑driven architecture practices
Champion the responsible adoption of AI‑assisted development, coding agents and intelligent automation throughout the software development lifecycle
Drive engineering excellence through code reviews, automated testing, CI/CD, DevSecOps, observability and continuous improvement
Requirements
Bachelor’s degree in computer science, engineering, information technology or a related discipline
Building agentic systems for Epiq AI Labs’ legal AI platform, including orchestration runtime, retrieval layers, and evaluation infrastructure.
Compensation
Compensation range for this role is $180,000 - $285,000 annually
Responsibilities
Design the agentic platform: orchestration of single agents and parallel sub-agents, durable state and memory across long-running jobs, MCP-based tool integration, and trace-level observability.
Build the safety layer agents run inside: tool registration and permissioning, sandboxing, guardrails and output validation, and defenses against prompt injection from retrieved content.
Build agent workflows with multi-step reasoning, tool use, human-in-the-loop checkpoints, and recovery from partial failure during long-running execution.
Evaluate developments in model capabilities, agent-design patterns, and evaluation practices, and translate them into platform architecture.
Design retrieval-augmented generation systems with hybrid search over legal corpora and citation grounding to specific sources.
Individual contributor role focused on causal inference and marketplace measurement work impacting billions of dollars in transaction value on a large travel platform.
Locations (2)
Seattle, Washington, United States
Austin, Texas, United States
Compensation
The total cash range for this position in Seattle is $119,000.00 to $166,500.00. Employees in this role have the potential to increase their pay up to $190,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Austin is $119,000.00 to $166,500.00. Employees in this role have the potential to increase their pay up to $190,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Build econometric models (panel data methods, DiD, RDD, IV) to help measure elasticity, changes in supplier behavior, and customer lifetime value
Support the development of long-term impact measurement approaches
Assist in designing and executing causal measurement frameworks for marketplace interventions, including geo experiments, difference-in-differences, synthetic controls, and instrumental variable approaches
Partner with ML teams to help integrate causal inference into production systems, supporting ranking algorithms, pricing optimization, and recommendation engines
Translate econometric findings into clear, well-organized analysis and visualizations that support product decisions
Analytics Engineer – Mobile MarketingNewActivision Blizzard, Inc. · Santa Monica, US