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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** MODE, LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $92,000.0 - $164,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Data Analysis, Apache HTTP Server, Computer Vision, Batch Processing, Cloud Computing, Cyber Security, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Sharing, Data Systems, Data Warehousing, Software Design Patterns, Distributed Systems, Python (Programming Language), Machine Learning, Standard Sql, Data Streaming, Workflow Management Systems, Apache Spark, Data Lakes, Infrastructure Automation Frameworks, Information Technology, Integration Frameworks, Apache Kafka, Build Tools, Data Management, Terraform, Stream Processing, Data Pipelines, Programming Languages - **Published:** October 10, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/sr-data-engineer-remote/11604357 ## About the Role * 5+ years of experience designing, operating, and owning live production data systems, ideally in high-scale or data-intensive environments. * Expert-level SQL skills. * Hands-on experience with technologies such as Spark, Kafka, and modern data processing frameworks. * Experience with AWS services for running data infrastructure. * Experience with infrastructure-as-code tools such as Terraform. * Proficiency in at least one data engineering language: Python (preferred), Scala, or Java. * Strong understanding of data modeling, ETL/ELT design patterns, and scalable data architectures., This role is scoped at a Senior Data Engineer level with Staff-level impact expectations. We strongly prefer candidates with deep experience at scale, but we are open to Senior-level engineers who have demonstrated ownership of complex systems and are ready to operate with broader influence and responsibility. ## Description We are looking for a Senior Data Engineer to help architect, build, and operate Mode Mobile's data platform. You will lead the development of large-scale data systems that process billions of events daily, enabling both real-time and batch use cases across product, growth, analytics, AI and data monetization. You'll work closely with engineering, data science, analytics teams, and business leaders to ensure our data is reliable, secure, scalable, and actionable. This is a hands-on role for someone who thrives in production environments, takes accountability seriously, and wants to shape how data works across a fast-growing, multi-product company. What You'll DoBuild & Scale (Action-Driven, Thorough) * Architect and lead the development of large-scale data pipelines, streaming systems, and data lakes handling billions of daily events. * Design and implement robust solutions supporting both real-time and batch processing. * Make thoughtful architectural decisions around performance, cost, scalability, and long-term maintainability. * Ensure high data quality through strong ETL/ELT patterns, testing, monitoring, and observability. Own Production (Accountable) * Own data systems running in live production environments with a strong focus on uptime, reliability, and correctness. * Proactively identify risks, bottlenecks, and failure modes-and address them before they impact the business. * Partner with infrastructure and engineering teams to ensure data platforms are secure, compliant, and resilient. Collaborate & Enable (Caring) * Work closely with product engineers, analytics engineers, data scientists, growth, and business teams to understand data needs and deliver high-impact solutions. * Build tools, frameworks, and datasets that empower others to move faster and make better decisions. * Mentor and support other engineers, raising the bar for technical excellence and ownership across teams. Think Ahead (Curious) * Continuously explore new tools, patterns, and technologies that improve our data platform. * Evaluate build vs. buy decisions with a pragmatic mindset, balancing speed, scalability, and long-term value. * Help shape the technical roadmap for Mode Mobile's data platform as we grow through both organic expansion and acquisitions., * Accountable: You take ownership of outcomes, not just tasks. When something breaks, you lean in and see it through. * Action-Driven: You are biased toward execution, ship meaningful improvements, and don't get stuck in analysis paralysis. * Caring: You collaborate with empathy, communicate clearly, and care about the impact your work has on teammates and users. * Curious: You ask thoughtful questions, seek to understand the "why," and continuously look for better ways to build and scale. * Thorough: You value quality, correctness, and long-term maintainability-especially when working with data that drives critical decisions., Artificial Intelligence * Big Data * Healthtech * Information Technology * Machine Learning * Software * Analytics Designs, develops, deploys, and supports scalable cloud data engineering solutions for HEDIS processing and healthcare quality reporting. Builds ETL pipelines, data integrations, SQL transformations, and AI-enabled workflow automation. Collaborates with stakeholders, auditors, and product teams to ensure data quality, regulatory compliance, and operational reliability. Troubleshoots production issues, supports cloud modernization, applies CI/CD and testing practices, and mentors engineers as a senior individual contributor. Top Skills: Agentic AiAICi/CdDatabricksETLFhirGenaiAzureSQL Capital One Staff Data Engineer 8 Days Ago Remote or Hybrid 286K-392K Annually Senior level 286K-392K Annually Senior level Fintech * Machine Learning * Payments * Software * Financial Services Leads enterprise data engineering strategy and architecture for pipelines, external data sharing, and scalable data platforms. Designs and codes critical data solutions while driving adoption of modern technologies, governance, resiliency, operational excellence, and unified data architecture. Advises stakeholders, mentors engineers, recruits talent, evaluates emerging data and AI technologies, and develops platform roadmaps. The role requires hands-on expertise across AWS, lakehouse architecture, streaming, distributed computing, data warehousing, and multiple programming languages. Top Skills: AgileAirflowAmazon RedshiftApache FlinkSparkAWSAws GlueCassandraDagsterDatabricksDynamoDBEmrJavaKafkaLakehouseMongoDBMonte CarloPythonScalaSnowflakeSplunkSQL, CrowdStrike