• Lead the data dimension of the migration for the SAP SQL Anywhere layer (~3.5M rows; 8,946 triggers; 805 stored procedures; 40k+ access points) • Evaluate and deploy a change data capture mechanism to enable coexistence stitching (no managed CDC for SQL Anywhere; dbtran is not CDC) • Ensure single-writer ownership during the dual-run • Protect data integrity and performance of the fiscal ledger system • Maintain the data side of the equivalence harness (production history replay) • Produce masked/synthetic datasets in compliance with Brazil's LGPD • Define the migration and reconciliation plan in waves, avoiding split-brain • Extract and document embedded business logic as reusable artifacts

• The ADABAS Data Engineer is responsible for designing, developing, maintaining, and optimizing data solutions built on the ADABAS platform. • Analyze business and technical requirements and translate them into database designs and data models. • Develop and optimize ADABAS queries, utilities, and data extraction processes. • Work with Natural, COBOL, JCL, and other mainframe technologies to support data processing requirements. • Perform data migration, conversion, and integration activities between ADABAS and modern data platforms. • Monitor database performance and implement tuning strategies to improve efficiency and reliability. • Ensure data integrity, backup, recovery, and security procedures are maintained. • Troubleshoot and resolve database-related issues, incidents, and performance bottlenecks. • Collaborate with application developers, architects, business analysts, and infrastructure teams. • Support modernization efforts involving API integration, cloud migration, and data warehousing initiatives.

Role Description Get ready to embark on an exhilarating journey as a Staff Software Engineer! As a technical leader on the team, you'll be a driving force behind their success, providing them with the technical guidance and support they need to thrive. Together, you'll tackle exciting challenges and deliver impactful solutions that leave a lasting impact. By mentoring and empowering your teammates, you'll witness their growth and contribute to a dynamic and collaborative work environment. Collaborating closely with stakeholders, you'll bring innovative ideas to life and shape the future of cutting-edge projects. Your commitment to code quality and continuous improvement will ensure that you're always pushing boundaries and delivering exceptional results. Prepare to make your mark, and be at the forefront of technology, as you embark on this adventure as a Staff Software Engineer! What You’ll Do - Participate in product discovery to understand stakeholders, customer usage, and product scope - Break down projects into manageable tasks for efficient development - Independently develop and enhance features, solutions, and services based on partial definitions - Lead the team in resolving complex incidents, analyzing root causes, and driving improvements - Guide and support team members with technical challenges, contributing to their growth and development - Improve solution quality through code reviews, automated testing, and collaboration with stakeholders - Represent the team, providing integration assistance, education, and risk mitigation for stakeholders - Establish key metrics to identify software issues, propose solutions, and drive resolution - Foster an inclusive environment, encouraging diverse perspectives and open technical discussions Qualifications - Undergraduate degree or equivalent combination of education and experience in a related field; an advanced degree may be considered in lieu of professional experience - 6 years of related experience - Specialized expertise in sub-function and working knowledge of related functions - Understanding of industry and how work contributes to the achievement of objectives - Strong proficiency in computer science fundamentals, including knowledge of data structures, algorithms, object-oriented software design, functional programming, and cloud-based distributed systems - Experience in building and implementing various types of tests to ensure high-quality software - Demonstrated success in leading initiatives, showing your ability to take ownership and drive projects forward - Expertise in modern programming languages such as JavaScript, Java, Go, Python, etc. - Skilled in debugging complex systems or applications, with a keen eye for identifying and resolving issues - Knowledge of mobile computing, databases, database design, cloud infrastructure, HTTP, and web protocols is a plus - Availability for after-hours support to address critical customer issues and ensure a reliable and smooth customer experience Travel Requirements and Working Conditions - Willingness to travel up to 10% for team and corporate meetings - Reliable internet access for any period of time working remotely Benefits - Salary range in the US: $129,000.00 - $207,000.00 - A discretionary bonus typically paid annually - Restricted Stock Units granted at time of hire - 401(k) match and comprehensive employee benefits package

Role Description CoverMyMeds' is seeking a Specialist, Data Engineering to join our Data Engineering team. Our Data Engineering Team is a highly technical group of results-driven Engineers, Analysts, and Architects focused on providing our internal and external clients with high quality, repeatable, and scalable data solutions. Together with our various business units, the work our Data Engineering team does ultimately helps get more people the medicine they need to live healthier lives. We are looking for a hands-on Data Engineer who can quickly contribute to the design, development, and support of scalable data pipelines and data solutions. This role focuses on: - Building and maintaining reliable data integrations - Transforming complex data into trusted business assets - Supporting analytics and reporting initiatives across the organization The ideal candidate brings strong Databricks expertise, experience working with large-scale datasets, and the ability to partner effectively with business and technical stakeholders. This individual will help deliver high-quality data solutions while contributing to a collaborative team environment and supporting the growth of junior team members. Qualifications - Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience - 4+ years of experience in a dedicated Data Engineering role - 4+ years of hands-on experience building and supporting data pipelines and data integration solutions - Strong experience with Databricks in a production environment - Strong SQL development skills - Experience working with Azure-based data services - Experience supporting reporting, analytics, systems integration, and data governance initiatives - Demonstrated expertise in conceptual and logical data modeling - Experience working with both structured and unstructured data - Strong written and verbal communication skills Requirements - Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs - Develop data ingestion and integration processes from a variety of structured and unstructured data sources - Create and optimize data transformations using SQL, Databricks, and Azure-based technologies - Support both batch and real-time data processing solutions - Implement data quality, validation, and monitoring processes to ensure trusted and reliable data assets - Troubleshoot and resolve data pipeline performance, reliability, and data quality issues - Develop conceptual and logical data models based on business reporting requirements - Partner with business stakeholders, analysts, and technology teams to understand data needs and translate them into scalable solutions - Work with application development teams to understand source systems and build efficient data flows into enterprise data environments - Support data governance initiatives through standardization, documentation, and quality controls - Partner closely with Data Systems Analysts, Analytics teams, and Technology partners to solve business problems with data - Communicate technical concepts clearly to both technical and non-technical audiences - Leverage modern engineering practices and AI-assisted development tools to improve solution delivery and efficiency - Share knowledge and provide guidance to less experienced team members Preferred Qualifications - Experience with data streaming and event-driven architectures such as Kafka - Experience with Infrastructure as Code tools such as Terraform - Experience supporting large-scale cloud migration or modernization programs - Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar technologies - Experience supporting business-critical applications and highly available data platforms - Experience mentoring junior engineers or providing technical guidance within a collaborative team environment Benefits - Competitive compensation package - Annual bonus or long-term incentive opportunities - Pay range: $106,500 - $177,500