> Markdown version of [/jobs/ext/4722137-data-engineer-lead](https://www.wearedevelopers.com/jobs/ext/4722137-data-engineer-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer Lead - **Company:** Arine, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $160,000 - $180,000 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Amazon S3, Data Analysis, Big Data, Software Quality, Databases, Customer Data Management, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Systems, Software Debugging, Amazon DynamoDB, Python (Programming Language), Systems Integration, Data Processing, Macros, LangChain, Snowflake, AI Coding Agents, Agentic-AI, Low Latency, CrewAI, Data Management, Claude, Software Coding, Agent SDK - **Published:** November 14, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-engineer-lead--41590d85-bfba-46dd-ba12-f26f89173a65 ## About the Role Leadership, Data Management, Customer/Client Research, Data Quality, Project/Program Management, Data Analysis, Database Extract Transform and Load (ETL), Acceptance Testing, Coding Standards, Mentoring, * 6+ years working with data in production environments * Proven ability to lead a small team (up to 3 engineers) * Track record of building automated ETL workflows using Python and dbt SQL * Hands-on proficiency with modern data technologies and comfort leveraging AI coding assistants to accelerate development, improve code quality, and enhance productivity * Strong skills in data processing, validation, cleaning, and debugging across complex datasets * Demonstrated success building production-grade dbt pipelines (macros, incremental and Python models, and testing) * Hands-on proficiency with modern data technologies and comfort leveraging AI coding assistants to accelerate development, improve code quality, and enhance productivity. * Working knowledge of agentic frameworks (e.g., LangChain, LangGraph, CrewAI, or the Claude Agent SDK) and hands-on experience building agents with tool use, memory, and multi-step reasoning, integrated with data platforms and pipelines. * Familiarity with agentic architectures and experience building, evaluating, and deploying AI agents (including MCP/tool integrations, guardrails, and observability) to automate data quality checks, pipeline monitoring, and analytics workflows. * Deep, demonstrable understanding of healthcare and healthcare claims data * Comfort working with large-scale datasets (10GB+) * Excellent verbal and written communication skills Nice-to-Haves: * Experience with AWS frameworks (i.e. S3, DynamoDB, Batch, Step Functions) * Experience with Snowflake * Skilled in data modeling for reporting and other business intelligence solutions Remote Work Requirements: * An established private work area that ensures information privacy * Reliable internet capable of low latency with the ability to carry video and voice calls without breaking up * This role is remote, but you will be required to come to on-site meetings multiple times per year. This may be during the interview process, onboarding, and for team meetings, * Ability to pass a background check * Must live in and be eligible to work in the United States ## Description The Data Engineering Lead is a pivotal hybrid role within the Data Engineering team, combining hands-on development with leadership responsibilities. This individual will lead a squad of Data Engineers to deliver high-quality, high-velocity customer data pipelines while maintaining existing ones. The Data Engineering Lead owns end-to-end delivery including project management, data quality, and timelines and is accountable for both team output and their own individual contributions. This role requires consistently high standards in both coding and execution. What You'll be Doing: * Collaborate with the Implementation team and Data Analyst to review and own DE requirement writeups, ensuring they fully address data needs discussed in implementation calls. * Communicate timelines for deliverables to unblock Data Engineers for ETL pipeline development. * Proactively flag risks to timelines or quality to stakeholders and project managers. * Lead backlog grooming for implementation-related tickets. * Ensure team cross-coverage: both the DE Lead and assigned Data Engineer should understand the full ETL flow, with at least two additional engineers familiar at a high level. * Conduct thorough peer reviews and DE UATs after initial UAT completion. * Designing and maintaining data transformation pipelines using dbt, including utilizing core concepts like macros, incremental models and dbt tests * Work with QA and CSA teams to resolve post-UAT issues and update the DE UAT checklist. * Provide technical guidance, mentorship to junior engineers, and promote best practices and coding standards. * Identify and escalate inefficiencies within and across teams. * Support project management and provide leadership to peers as needed. * Author and support high-quality technical documentation, assisting junior engineers in doing the same. * Collaborate with the DE Manager to report on DE contractor performance issues.