• O foco do profissional será a integração e ingestão de novos dados no Data Lake e a melhoria de pipelines existentes, • Responsável pelo entendimento das necessidades das áreas clientes; • Definição de solução (dentro dos processos e ferramentas); • Negociação de prioridades e prazos; • Gestão das suas atividades (Prazos e qualidade).

ProCon Home Inc is seeking a detail-oriented and organized Data Entry Specialist to accurately input, update, and maintain information in company databases and systems. The ideal candidate has strong typing skills, attention to detail, and the ability to handle confidential information with professionalism. Key Responsibilities - Accurately enter data into company databases and systems - Verify and review data for errors or discrepancies - Update and maintain records to ensure accuracy and completeness - Organize digital and physical files - Generate basic reports as requested - Maintain confidentiality of sensitive information - Assist administrative staff with clerical tasks as needed Qualifications - High school diploma or equivalent - Proven experience in data entry or administrative support preferred - Strong typing skills with high accuracy - Proficiency in Microsoft Office (Word, Excel) or Google Workspace - Excellent attention to detail and organizational skills - Ability to meet deadlines and work independently Preferred Skills - Experience with database management systems - Familiarity with CRM or internal tracking systems - Bilingual (English/Spanish) a plus What We Offer - Competitive pay - Supportive team environment - Opportunities for professional growth - Meaningful work supporting the community

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.