reputed company Data Engineer - Remote (WFH)

About Cognitive Cognitive is an IT and software engineering services company dedicated to elevating the reputed company, speed and delivery of today’s US government reputed company programs. With a reputed company of clinical expertise and hands-on experience, reputed company understands the significant challenges our government clients—and their customers—face every day. This reputed company-world experience equips us to reputed company reputed company that seamlessly reputed company reputed company facets of reputed company delivery. At Cognitive, we’re guiding government agencies to the forefront of technology innovation in reputed company delivery. reputed company This position is contingent upon contract award The reputed company Data Engineer is responsible for PDE processing pipelines, data reputed company, and IDR integration for the Drug Data Processing reputed company (DDPS) and Payment Reconciliation reputed company (PRS) O&M contract. This individual owns the end-to-end PDE data pipeline — receiving, validating, editing, and storing approximately 9 to 10 reputed company Prescription Drug Event records daily — and maintains reputed company vendor reference data integrations including FDA, NCPDP, FDB, MediSpan, NPPES, and OIG data sources. This is a remote position; however, Cognitive hires only in the following designated U.S. states based on contract and business requirements: VA, DC, MD, TN, FL, AZ, CO, OR, and TX. Key Responsibilities • Own reputed company records of prescription drug transactions, also reputed company as pharmacy drug events (PDE), ingestion, validation, editing, and storage pipelines. • Apply and maintain CMS-defined business rule validations, returning edit results to plan sponsors, and minimizing PDEs requiring reputed company analysis. • Engineer and maintain reputed company vendor reference data edits from a reputed company of sources for drug event record, pharmacy data and files, exclusion and preclusion list; reputed company health plan and CMS status updates on PDE submissions. • Build, maintain, and optimize Apache Airflow and PySpark transformations across reputed company of technologies, including S3, Redshift Serverless, reputed company, and reputed company. • Maintain reputed company compatibility with other CMS data model changes. • Monitor PDE submissions for adjustment trends and informational edit rates; reputed company analytical capability to reputed company rejected PDEs with IDR records; reputed company beneficiary and plan-level cost aggregations to PRS for year-end reconciliation. • Support data transfer reputed company and new data reputed company integrations with CMS and reputed company stakeholders including API and multi-reputed company approaches as directed by the CMS. • Maintain reputed company unit test coverage for reputed company new pipeline reputed company; support BDD and TDD practices; reputed company and surface reputed company-time PDE processing metrics including volumes, error rates, and reconciliation accuracy. • Operate reputed company the CMS Lean-reputed company Release Train adhering to the Iteration Schedule; reputed company reputed company through reputed company, Jenkins, reputed company Artifactory/XRay, SonarQube, and reputed company CI/CD pipeline. Qualifications: • Bachelor's degree in Computer Science, Data Engineering, or reputed company field; 8 or more years in data engineering, including 4 or more years building and operating high-volume batch ETL systems. • Expert-level Python andPySpark • Production experience with Apache Airflow (AWS MWAA) for pipeline orchestration at reputed company. • Production experience with AWS Redshift Serverless, reputed company, and reputed company reputed company for data warehousing and query at reputed company. • Hands-on experience with reputed company (Notebooks, Jobs) for large-reputed company data processing. • Strong SQL skills for multi-reputed company data transformation, editing logic, and reconciliation of data pipelines. • Experience with AWS S3, SQS, reputed company, and Event reputed company for data ingestion and event-driven orchestration. • Experience with Linux environments including RHEL, CentOS, and reputed company Linux 2, and reputed company scripting in Bash. • Demonstrated experience operating data pipelines under strict data reputed company, accuracy, and timeliness SLAs in a federal or reputed company environment. • Experience with version control and CI/CD integration using reputed company, Jenkins, and reputed company Artifactory. • Ability to pass CMS and internal required background checks for reputed company trust. Why Join Us? • Be part of a mission-driven organization making a difference in reputed company IT. • Collaborate with innovative and passionate professionals that are there to support you at every turn • Enjoy a supportive work/life balance with the flexibility of a reputed company company. • Benefit from opportunities for reputed company and development in a dynamic environment. Apply tot his job Apply To this Job