• Partner with Enterprise Architects, Senior Architects, and cross functional teams • Contribute to Empower’s technology roadmap • Design and support modernization and migration of complex systems • Evaluate and prototype new technologies • Apply and help operationalize architectural standards • Collaborate closely with business and engineering teams • Provide architectural guidance in process design • Champion security, resilience, and scalability as core design principles • Contribute to architecture discipline maturity • Support full stack development teams through solution design

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is a key member of the Enterprise Data Warehouse team, responsible for designing, developing, and optimizing data solutions that support business and client needs. The Senior Data Warehouse Engineer will lead the creation of scalable ETL/ELT pipelines, manage complex data integration projects, and ensure adherence to data governance standards. - Design, develop, test, deploy, and maintain complex ETL/ELT processes to integrate diverse data sources. - Optimize SQL queries, database structures, and data pipelines for performance and scalability. - Ensure compliance with data privacy, governance, and organizational standards across all data processes. - Collaborate with cross-functional project teams to understand business requirements and deliver actionable data solutions. - Support technical design, project planning, and solution deployment activities. - Act as a technical subject matter expert (SME) for assigned business segments, guiding best practices in data engineering. - Identify opportunities for continuous improvement in business processes, system capabilities, and delivery methodologies. Qualifications - Bachelor’s degree in Computer Science, Information Systems, or related field. - 5+ years experience with relational databases and ETL development. - 5+ years experience writing and optimizing SQL queries. - 3+ years experience working with healthcare data in a Data Engineer capacity. - 2+ years experience with Snowflake, Azure Data Factory, and Azure Synapse. - 2+ years experience with SQL Server Integration Services (SSIS). - Experience building data pipelines and working with APIs for ETL processes. - Familiarity with multiple file formats (JSON, XML, etc.) and proficiency in Python, R, or SAS. - Strong problem-solving, communication, and collaboration skills for cross-functional environments. Benefits - Competitive salary and growth opportunities. - 401K plan with company match. - Tuition reimbursement programs. - Flexible work environment and telecommuting options. - Paid time off, holidays, and discretionary PTO. - Medical, dental, and vision coverage, including HSA/FSA options. - Employee wellness and assistance programs. - Short-term and long-term disability, life insurance, and adoption assistance. - Access to professional development and learning resources.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description First American Trust is seeking a Senior Data Engineer to help develop and grow our data engineering capabilities to enhance the Strategic Product Development Organization. You will help FA Trust’s Data Engineering team make real-time decisions based on the datasets, facilitate analytics on existing products, and provide insights on potential new opportunities for growth. You will partner with subject matter experts to help us solve business problems with data. You will mentor data engineers and junior data engineers by providing guidance, advice, and support in various facets of data engineering. - Build high-performing cloud data solutions to meet our analytical and BI reporting needs. - Design, build, and operate secure, scalable cloud data pipelines that support analytics and data products. - Integrate new data sources into the central data warehouse and deliver curated data to applications and other downstream destinations. - Identify, design, and implement internal process improvements, such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability. - Build and enhance a shared data lake that powers decision-making and model building. - Implement data governance best practices across pipelines and datasets, including data quality checks, metadata management, lineage, and access controls. - Partner with teams across the business to understand their needs and develop end-to-end data solutions. - Collaborate with analysts to perform exploratory analysis and troubleshoot issues. - Coach and develop the team by providing hands-on mentorship to engineers, lead code and design reviews, create training/onboarding content, and run knowledge-sharing sessions. - Manage and model data using visualization tools to provide the company with a collaborative data analytics platform. - Build tools and processes to help make the correct data accessible to the right people. - Participate in active rotational support role for production during or after business hours supporting business continuity. - Engage in collaboration and decision making with other engineers. - Lead presentations regularly for stakeholders. Qualifications - 5+ years of development experience with any of the following software languages: Python and SQL with cloud experience (Azure preferred or AWS). - Hands-on data security and cloud security methodologies. Experience in configuration and management of data security to meet compliance and CISO security requirements. - Experience creating and maintaining data intensive distributed solutions (especially involving data warehouse, data lake, data analytics) in a cloud environment. - Proven experience with relational and non-relational databases (e.g., PostgreSQL, Oracle, Azure Cosmos DB, MongoDB), including schema design, indexing, query optimization, and operational management in a cloud environment. - Hands-on experience in modern Data Analytics architectures encompassing data warehouse, data lake etc. designed and engineered in a cloud environment. - Demonstrated experience applying data governance best practices, including data quality validation, cataloging/metadata, lineage, and role-based access controls. - Hands-on expertise with LLMs and generative AI workflows. Familiarity with AI governance and privacy-preserving techniques. - Proven professional working experience in Event Streaming Platforms and data pipeline orchestration tools like Apache Kafka, Fivetran, Apache Airflow, or similar tools. - Proven professional working experience in any of the following: Databricks, Snowflake, BigQuery, Spark in any flavor, HIVE, Hadoop, Cloudera or RedShift. - Experience developing in a containerized local environment like Docker, Rancher, or Kubernetes preferred. - Experience with or knowledge of Agile Software Development methodologies. Requirements - Data Modeling - Design schema and data pipelines to ingest, standardize, and deliver data from various sources into the data warehouse or data lake using ETL/ELT patterns. - Create, maintain, and optimize database structures to efficiently store and retrieve large volumes of data. - Evaluate data trends and model simple to complex data solutions that meet day-to-day business demand and plan for future business and technological growth. - Implement data cleansing processes and oversee data quality to maintain accuracy. - Function as a key member of the team to drive development, delivery, and continuous improvement of the cloud-based enterprise data warehouse architecture. Benefits - Comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave and other great benefits like an employee stock purchase plan. Pay Range $129,300.00 - $172,300.00 Annually. This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on a number of factors which may include job-related knowledge, skills, experience, business requirements and geographic location.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description OpenLoop’s mission is to bring care anywhere by powering telehealth solutions at scale. Our security team is seeking a Data Privacy Engineer to implement companywide privacy-by-design principles and processes. This role partners closely with security and legal teams to safeguard personal data and ensure lawful, ethical use while supporting the company’s expanding product, technology, and AI initiatives. The ideal candidate brings cross-functional experience across privacy, security, product, and emerging technologies. - Lead HIPAA Privacy rule implementation projects. Provide subject matter expertise on HIPAA Security rule implementation. - Help lead implementation of Company’s Privacy by Design program, conduct privacy impact assessments and reviews of products and processes impacting personal information. - Contribute to development and update of Privacy policies, procedures, and guidelines, as well as the processes that implement them. - Review and develop reports to assess the effectiveness of privacy policies and processes. - Coordinate with business units on expansion of tooling and improvement of privacy controls that impact data privacy. - Assist in the development and execution of the Company privacy program roadmap, including privacy risk assessments. - Provide oversight for the privacy components of Company’s data mapping, minimization, inventory processes. - Contribute to AI governance efforts, ensuring privacy requirements are met across all AI technologies. - Govern patient rights processes under HIPAA and Data Subject Access Rights process as necessary under state law. - Assist in building privacy requirements into the Vendor onboarding process, and conduct privacy review of vendors. - Assist in incident response, including conducting four factor HIPAA analysis, state law analysis as necessary, and monitoring mitigation and remediation activities to completion. - Other duties as assigned. Qualifications - Bachelor’s or Master’s in Information Security, Engineering, or a related field. - 5 years of experience in privacy engineering, privacy operations, governance or data management. - Strong understanding of privacy regulations, including HIPAA’s Privacy and Security Rules. - Excellent communication and relationship skills. - Ability to apply privacy expertise to Company products and services to improve privacy strength and measure impact. - Can identify and drive solutions for privacy issues that have a positive impact on risk reduction or business enablement. - Strong knowledge of data governance frameworks, quality, and compliance standards. - Experience automating Privacy Impact Assessment workflows. - Strong analytical and problem-solving skills with attention to detail. - Strong understanding of state privacy laws, GDPR, and other global privacy laws. - Hands-on experience working with privacy risk assessment tools and frameworks. - Skilled in risk identification, assessment, and mitigation. Requirements - Project management experience with the ability to coordinate working groups and timelines is a plus. - Experience with translating legal requirements into technical workflows. - Preferred certifications: CISSP-Privacy, CDPSE (ISACA), IAPP, NIST Privacy Framework training. Benefits - Medical, Dental, and Vision plans. - Flexible Spending/Health Savings Accounts. - Flexible PTO. - 401(k) + Company Match. - Life Insurance, Pet insurance, and more. Company Description We have a relatively flat organizational structure here at OpenLoop. Everyone is encouraged to bring ideas to the table and make things happen. This fits in well with our core values of Autonomy, Competence and Belonging, as we want everyone to feel empowered and supported to do their best work. Sound like a good fit? We’d love to meet you.