ASSYST is seeking an EHR Data Transformation Lead to support Electronic Health Record (EHR) migration initiatives. This role provides a combination of Millennium data management expertise and hands on technical development and data extraction approaches within Cerner Millennium environments for our client in Austin, TX (Remote role). The candidate will ensure that clinical workflow intent and operational requirements are accurately translated into Cerner Command Language (CCL) logic, data extracts, and downstream reporting and analytics solutions. This position operates under the direction, policies, and standards, and collaborates closely with clinical stakeholders, informatics governance bodies, and technical delivery teams to support EHR modernization, data migration, reporting, and legacy system retirement efforts. Responsibilities: - Assess, analyze, and document clinical workflows across inpatient, outpatient, and ancillary care settings. - Translate clinical and operational requirements into technical specifications for data extraction, reporting, and analytics solutions. - Design, develop, test, optimize, and maintain Cerner Command Language (CCL) scripts within Cerner Millennium environments. - Perform complex data extraction, validation, and reconciliation from Cerner Millennium Oracle schemas. - Support enterprise wide EHR data migration, reporting, and legacy system retirement initiatives. - Develop, maintain, and support structured data feeds, flat file extracts, and ETL processes. - Troubleshoot and resolve CCL performance issues and downstream data integration or reporting challenges. - Serve as a liaison between clinical informatics stakeholders and technical delivery teams to ensure accurate implementation of clinical intent. - Clearly communicate data limitations, technical constraints, and system dependencies to non technical audiences. - Execute and tune CCL scripts, manage batch jobs, and support production and non production environments in accordance with the standards. Required Skills & Experience: - 11+ years of experience with clinical workflows, healthcare operations, and translating clinical requirements into technical/data specifications. - 11+ years of advanced, hands-on experience with Cerner Command Language (CCL), including writing, executing, and tuning scripts in production environments. - Proven track record supporting large-scale Cerner Millennium implementations, migrations, or optimization initiatives. - Working knowledge of Cerner Millennium architecture and Oracle databases. - 11+ years of experience with SQL, Linux, and designing/supporting ETL processes and enterprise data extraction/migration patterns. - Experience with REST / SOA development and healthcare data integrations. - Proficiency in at least one programming language: Java, C, C++, Python, Perl, or OCI. - Experience with data extraction, system integration, and general code development. - Knowledge of distributed systems, networking, and performance tuning. - Hands-on experience developing or supporting services on public cloud platforms (AWS, Azure, GCP, or OCI). Preferred Skills & Experience: - Specific experience supporting and maintaining Cerner Millennium environments. - Prior experience serving as a Senior Cerner Consultant or Technical Lead. ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law

About the Role Enterprises of all sizes trust Abnormal AI's cloud products to stop cybercrime. These products are data intensive SaaS applications that depend on reliable, scalable, and secure access to data. This is where our Data Platform team fits in, offering scalable storage systems (PostgreSQL, OpenSearch, Redis, RocksDB, DynamoDB), as well as building services and tools to improve their operational excellence, and offering expertise to engineering and data science teams around usage of these systems at high scale. The Data Platform team is looking to add a Senior Software Engineer. The individual in this role will have the opportunity to partner closely with our existing world class team of engineers as we define and build the next generation data platform, and execute on ambitious and challenging technical projects to deliver value to Abnormal and its customers. There are a lot of opportunities for growth and career advancement – including growing into a Staff technical leadership role. What you will do - Define and deliver our data platform offerings across AWS to empower and delight our internal engineering and data science customers. - Build tooling and services for our online storage platforms that will deliver self-serve capabilities for the team’s stakeholders. - Work cross functionally with other engineering teams to identify scalability gaps in their data intensive systems, owning key areas from our charter, building and executing on plans to mitigate them. Must Haves - 6+ years of experience working on data-intensive applications and distributed systems. - Strong background in building platforms, tools, and systems to serve the needs of engineering teams, empowering them to ship with velocity and reliability. - Depth in one or more types of online data storage systems (relational, key-value, document-oriented, or columnar databases) either as an expertise provider or as a power user, in a high scale environment. - Proven track record of being a change agent, defining and driving engineering initiatives that involve cross-team collaboration - Expertise in one or more key areas of the Data Platform online storage tech stack - relational DBs, RocksDB, ElasticSearch, Redis, Kafka - Excellent ability and strong desire to onboard and mentor other engineers. Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $179,800—$258,500 USD Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

About the Role Enterprises of all sizes trust Abnormal AI’s cloud products to stop cybercrime. These products are data intensive SaaS applications that depend on reliable, scalable, and secure access to data. This is where our Data Platform team fits in, offering scalable storage systems (PostgreSQL, OpenSearch, Redis, RocksDB, DynamoDB), as well as building services and tools to improve their operational excellence, and offering expertise to engineering and data science teams around usage of these systems at high scale. The Data Platform team is looking to add a Senior Software Engineer. The individual in this role will have the opportunity to partner closely with our existing world class team of engineers as we define and build the next generation data platform, and execute on ambitious and challenging technical projects to deliver value to Abnormal and its customers. There are a lot of opportunities for growth and career advancement – including growing into a Staff technical leadership role. What you will do - Define and deliver our data platform offerings across AWS to empower and delight our internal engineering and data science customers. - Build tooling and services for our online storage platforms that will deliver self-serve capabilities for the team’s stakeholders. - Work cross functionally with other engineering teams to identify scalability gaps in their data intensive systems, owning key areas from our charter, building and executing on plans to mitigate them. Must Haves - 6+ years of experience working on data-intensive applications and distributed systems. - Strong background in building platforms, tools, and systems to serve the needs of engineering teams, empowering them to ship with velocity and reliability. - Depth in one or more types of online data storage systems (relational, key-value, document-oriented, or columnar databases) either as an expertise provider or as a power user, in a high scale environment. - Proven track record of being a change agent, defining and driving engineering initiatives that involve cross-team collaboration - Expertise in one or more key areas of the Data Platform online storage tech stack - relational DBs, RocksDB, ElasticSearch, Redis, Kafka - Excellent ability and strong desire to onboard and mentor other engineers. Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

Role Description At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we strive to bend the cost curve in healthcare for all. Our dedication to service excellence extends to all our stakeholders – internal and external - driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential. Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and Upward!!! - Understand business processes and how they are modeled in various systems - Work with business users, technology teams, and executives to understand their data needs to create innovative solutions to fulfill them - Implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes - Maintain scalable data pipelines to support continuing increases in data volume and complexity - Adhere to established best practices on data integration/engineering, as well as the future of our data infrastructure - Manage and improve the performance of our database, queries, tools, and solutions - Create and maintain data warehouse, databases, tables, SQL queries, and ingestion pipelines to power reports (Tableau), dashboards, predictive models, and downstream analysis - Write complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms - Prepare data for predictive and prescriptive modeling - Identify and analyze data patterns - Identify ways to improve data reliability, efficiency, and quality - Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ways to design and develop data infrastructure - Collaborate, coordinate, and communicate across disciplines and departments - Ensure compliance with HIPAA regulations and requirements - Demonstrate Company's Core Competencies and values held within - Please note due to the exposure of PHI sensitive data -- this role is considered to be a High Risk and privileged Role - The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary Qualifications - 4+ years of experience in data engineering, data warehousing, or related roles - Strong proficiency in SQL and experience with relational and/or distributed databases - Hands-on experience building and maintaining ETL/ELT pipelines - Experience with big data processing frameworks (e.g., Spark, Hadoop, or similar) - Proficiency in at least one programming language (e.g., Python, Scala, or Java) - Experience working with cloud-based data platforms (AWS, Azure, or GCP) - Experience with data lake/lakehouse architecture - Strong understanding of data modeling, data quality, and data governance best practices - Ability to work with large, complex datasets and optimize performance - Solid problem-solving skills and ability to work in a collaborative team environment Requirements - Experience working with healthcare data, particularly: EDI transactions such as 835 (remittance advice) and 837 (claims) - Familiarity with clinical data and EMR/EHR systems (e.g., Epic, Cerner) - Experience with Oracle Cloud Infrastructure (OCI) or similar Oracle cloud services - Understanding of healthcare data standards (HL7, FHIR, HIPAA compliance) - Exposure to workflow orchestration tools (e.g., Airflow, Prefect) - Experience supporting analytics, reporting, or data science teams Benefits - The salary range for this position is $110-130K. Specific offers take into account a candidate’s education, experience and skills, as well as the candidate’s work location and internal equity - This position is also eligible for health insurance, 401k and bonus opportunity - We realize that our employees are instrumental to our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs - Our work environment is friendly and supportive, and we offer flexible schedules whenever possible - A wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities - Your benefits will include: - Medical, dental and vision coverage with low deductible & copay - Life insurance - Short and long-term disability - Paid Parental Leave - 401(k) + match - Employee Stock Purchase Plan - Generous Paid Time Off – accrued based on years of service - WA Candidates: the accrual rate is 4.61 hours every other week for the first two years of tenure before increasing with additional years of service - 10 paid company holidays - Tuition reimbursement - Flexible Spending Account - Employee Assistance Program - Sick time benefits – for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year, unless the laws of the state in which the employee is located provide for more generous sick time benefits Company Description Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. If you would like more information on your EEO rights under the law, please click here. Application Deadline We will generally accept applications for at least 5 calendar days from the posting date or as long as the job remains posted.