• Design, develop, and maintain robust, scalable data pipelines using Python and Airflow • Collaborate with Analytics Engineers and other team members to deliver clean, well-modeled data to downstream users • Implement monitoring, logging, and alerting to ensure data pipeline reliability and performance • Ensure data quality and integrity through validation frameworks and testing • Optimize performance and cost-efficiency of cloud-based data systems • Contribute to architectural decisions around data storage, workflow orchestration, and infrastructure as code • Document data pipelines and processes

• Build and maintain ETL pipelines that ingest daily Excel/CSV trade files, transform and validate the data, and persist it to PostgreSQL • Design and evolve database schemas using SQLAlchemy ORM and Alembic migrations • Implement business logic services: shareholder balance tracking, sharebook reconciliation, movement detection, classification rules • Maintain and extend Elasticsearch sync services (incremental and full resync workflows) • Support business stakeholders with data questions using the ELK stack — writing and running queries, interpreting results, and surfacing relevant data from Kibana • Parse and process structured financial data files (Excel, CSV) using Pandas, including data validation and deduplication • Write robust, type-safe Python following project standards (mypy strict mode, Black, isort) • Write and maintain automated tests with pytest — unit tests, repository mocks, snapshot tests • Collaborate with the CTO on data flow design and review migration strategies before deployment

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves leading a dynamic data engineering team dedicated to developing innovative solutions grounded in AI technologies. Your leadership will be instrumental in shaping IT architecture that aligns with business needs while enhancing analytics capabilities. - Lead the data engineering team and manage all associated activities. - Drive the development of data architecture leveraging AI innovations. - Implement data engineering templates and architectures for optimized performance. - Collaborate with product and architecture teams to enhance data strategies. - Stay updated on AI trends to enhance team performance and relevance. - Manage internal stakeholders and represent the organization to clients as needed. - Oversee team performance evaluations and professional development initiatives. - Define results and take action to meet organizational objectives. Qualifications - Bachelor’s degree or equivalent work experience. - 7+ years of experience in data engineering/IT/Project Management, including management experience. - 2+ years leading projects with proven project management methodologies. - Experience with data integration/ETL tools like databricks, Hadoop, and AWS tech stack. - Familiar with AI engineering concepts and tools. - Proficiency in software development and database management. - Excellent communication and interpersonal skills. Benefits - Competitive salary ranging from $130,000 to $165,000. - Discretionary bonus eligibility. - Comprehensive benefits package including medical, dental, and vision. - 401(k) savings plans. - Generous paid time off policies. - Flexible remote working conditions.

Opala delivers robust, secure solutions to tackle the most complex data challenges faced by healthcare’s payers and providers. As a startup originating from a major healthcare plan in the Northwest, we combine deep health-tech expertise with top-tier data and software engineering talent to create products that our customers find meaningful and valuable. These products empower payers and their partners to find timely insights and take action to intervene in areas like value-based care analytics, interoperability compliance, and real-time streaming of clinical data. In this remote position, we are seeking a Senior Data Engineer with a strong background in various databases, processes, and tools to join our team. In this role, you will design, develop, deploy, and maintain our data-hub and associated integrations. Key Responsibilities: - Build and optimize scalable end-to-end data pipelines for ingestion, transformation, and delivery. - Design and develop data models and warehouse structures to support analytics and reporting. - Operationalize data-driven solutions, including advanced analytics and predictive models. - Create high-quality datasets for business intelligence, machine learning, and experimentation. - Implement data quality, lineage, and observability best practices across data workflows. - Maintain and improve internal tools and automation frameworks for data operations. - Integrate new data sources, including clinical systems, healthcare standards, vendor feeds, and real-time streams. - Contribute to CI/CD workflows, infrastructure automation, and cloud-based data architecture. - Support all software development lifecycle activities following industry best practices. - Research and integrate design strategies, specifications, and user requirements into data solutions. - Conduct complex investigations and testing for data systems and workflows. - Participate in special projects as needed. - Provide technical guidance to the data engineering team through reviews and infrastructure support. - Troubleshoot complex data and application issues, ensuring reliability and performance. Minimum Qualifications: - Bachelor’s degree in Computer Science, Data Science, Engineering, or related technical discipline (or equivalent experience). - 7+ years overall experience in data engineering or related fields. - 5+ years building and managing data pipelines and workflows. - 5+ years designing and managing relational and non-relational data systems. - Experience with cloud platforms and distributed data environments. - Strong understanding of data modeling, performance optimization, and reliability. - Experience supporting advanced analytics or machine learning workflows. - Familiarity with data integration from diverse sources, including healthcare systems and standards for data representation and communication. Preferred Qualifications: - Experience building data flow processes in large-scale or cloud-based environments. - Knowledge of healthcare-specific standards for data representation and interoperability (e.g., widely adopted frameworks for clinical data exchange). - Exposure to data governance, compliance, and security in healthcare contexts. Benefits: - The Seattle base salary range for this full-time position is $163k-$192k. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. - Benefits include medical, dental, vision, life and AD&D insurance, EAP, short-term and long-term disability, 16 days PTO, 8 paid holidays, fully paid holiday closure, parental and family medical leave, 401k, stock options and annual bonuses and salary increases based on merit. Diversity and Inclusivity Statement: - At Opala, we believe that diversity and inclusivity are critical to our success. We encourage and value diverse perspectives and experiences, and we believe that they are essential for driving innovation and creating products that meet the needs of our diverse customer base.  Opala is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.