• Provide primary data engineer for real-time production support, ensuring minimal downtime of mission-critical data pipelines. • Rotate the role and on call requirements. • Monitor, troubleshoot, and optimize data pipeline failures, query performance bottlenecks, and data discrepancies using AWS CloudWatch, Redshift, and PostgreSQL. • Automate Root Cause Analysis (RCA) reporting, reducing resolution time by 30%+ through proactive alerting and system monitoring. • Implement best practices in IAM roles, encryption, and regulatory compliance (HIPAA, GDPR) to ensure data security and governance. • Design, develop, and maintain scalable ETL pipelines using AWS Glue, Lambda, Redshift, S3, and PostgreSQL. • Optimize query performance through partitioning, indexing, query tuning, and materialized views, achieving significant performance improvements. • Implement CI/CD pipelines for automated deployments using AWS CodePipeline, Terraform, and CloudFormation to improve system stability and deployment efficiency. • Support streaming data pipelines using Kafka, Kinesis, or Spark Streaming for real-time data ingestion and processing. • Assist in scaling, performance tuning, and automation to optimize data platform efficiency. • Collaborate with business intelligence teams and analysts to develop high-quality data models that support analytics and decision-making. • Build interactive dashboards and reports using Power BI, Tableau, or Looker to enable real-time insights for stakeholders. • Automate data validation, cleansing, and quality checks, ensuring 99.9%+ data accuracy across critical business functions.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role 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 by making sure the DE Lead and assigned Data Engineer 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. - Design and maintain data transformation pipelines using dbt, including 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 and 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. Qualifications - 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). - Deep, demonstrable understanding of healthcare and healthcare claims data. - Comfort working with large-scale datasets (10GB+). - Excellent verbal and written communication skills. Requirements - Familiarity with AWS services such as S3, DynamoDB, Batch, and Step Functions. - Hands-on knowledge of Snowflake. - Strong data modeling skills for reporting and business intelligence solutions. Remote Work Requirements - An established private work area that ensures information privacy. - A stable high-speed internet connection for remote work. - This role is remote, but you will be required to come to on-site meetings multiple times per year. This may be in the interview process, onboarding, and team meetings. Benefits - Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. - You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs. - The salary range for this position is: $150,000-170,000/year. Job Requirements - Ability to pass a background check. - Must live in and be eligible to work in the United States. Information Security Roles and Responsibilities All staff at Arine are expected to be part of its Information Security Management Program and undergo periodic training on Information Security Awareness and HIPAA guidelines. Each user is responsible to maintain a secure working environment and follow all policies and procedures. Upon hire, each person is assigned and must complete trainings before access is granted for their specific role within Arine. Company Description Arine is a rapidly growing healthcare technology and clinical services company with a mission to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs. - Outstanding Team and Culture - Our shared mission unites and motivates us to do our best work. - Making a Proven Difference in Healthcare - We are saving patient lives, and enabling individuals to experience improved health outcomes. - Market Opportunity - Arine is backed by leading healthcare investors and was founded to tackle one of the largest healthcare problems today. - Dramatic Growth - Arine is managing more than 18 million lives across prominent health plans after only 4 years in the market.

• Ensure the squad meets delivery commitments for projects agreed with business areas. • Interact with business units, third parties, suppliers and/or service providers. • Participate in data-driven discussions within the team and support key decisions. • Interface with technology and product teams.

• Own the design and delivery of our data warehouse and data marts: models, schemas, semantic consistency, and documentation. • Build and evolve reporting foundations: curated datasets, metric definitions, and repeatable reporting patterns. • Partner with stakeholders to define source-of-truth metrics and ensure consistent definitions across teams. • Establish standards for data quality, testing, reconciliation, lineage, access control, and lifecycle management. • Drive modernization: reduce legacy data debt, simplify flows, and improve reliability and performance across the platform. • Define data contracts with application teams (schemas, events/CDC patterns) so downstream reporting is stable. • Enable self-serve analytics by making data discoverable, documented, and safe to use.