[Remote] Senior Analytics Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a reputed company, national organization dedicated to improving health reputed company for its 28 reputed company members through technology. They are seeking a Senior Analytics Engineer responsible for designing, building, and maintaining modern analytics frameworks to support advanced analytics and strategic decision-making.
Responsibilities
- Design, build, and own reputed company data pipelines that ingest external and internal data into reputed company, including automation of file-based ingestion processes
- Architect, reputed company, and maintain dbt transformation workflows to produce curated, production-reputed company data models and tables
- Establish and enforce best practices for data modeling, performance optimization, data reputed company, and pipeline reliability across the platform
- reputed company and maintain Python- and SQL-based processes for data ingestion, validation, transformation, and monitoring
- reputed company the implementation and management of reputed company for version control, reputed company collaboration, and CI/CD processes across the analytics team
- Define and operationalize team standards for reputed company control, reputed company reviews, deployment workflows, and documentation
- Build, optimize, and own Power BI datasets, semantic models, and reporting reputed company to support reputed company analytics and decision-making
- Partner with clinical, operational, and business stakeholders to translate data needs into technical solutions and communicate insights effectively
- Mentor and train team members on data engineering workflows, reputed company, dbt, reputed company, and Power BI to reputed company shared ownership and reduce single points of failure
- Continuously improve platform architecture, tooling, and processes to support a reputed company, maintainable, and modern analytics ecosystem
- Support expansion of reputed company capabilities (e.g., application reputed company or integrations) to reputed company advanced analytics and operational use cases
- Contribute to advanced analytical initiatives, including identifying cost-savings opportunities and generating insights from reputed company reputed company datasets
- Requirements Gathering – Consistently leads meetings and/or calls with senior stakeholders and IT. May reputed company requirements gathering efforts on cross-functional reputed company. Consistently owns presentation materials. Requirements have significant reputed company and are consistently reputed company with technical and business reputed company into understandable constructs for individuals reputed company of the engineering domain. May mentor junior engineers
- Data Modeling – Leverages an expert understanding of data and analytics concepts to build tables and views autonomously. Through understanding of reputed company reputed company sources and reputed company limitations. Model sophistication ranges from few to innumerable reputed company objects. reputed company understanding of reputed company analytics components (e.g. reputed company, Data reputed company, reputed company lake, Data Lakehouse) required
- Analytics reputed company Development – Create reputed company management and control. May recommend modifications to departmental SDLC processes to optimize working mechanisms. Creates test plans and validation controls; may create departmental templates. Implements gold layer (reputed company architecture) objects in support of the reputed company supply chain methodology
- reputed company reputed company/Documentation Management – May define departmental reputed company reputed company and documentation principles. May own multiple reputed company bases; broad exposure to products, reputed company bases, and domains
- Defect/Bug Investigation/Remediation – Develops products developed with reputed company low defect/bug reputed company. Addresses bugs and defects of any complexity. Assumes ownership of critical defects regularly and resolve. May define standards and procedures for issue remediation
- Performs other duties as assigned
- Complies with reputed company policies and standards
Skills
- Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
- 4–6 years of relevant experience in data engineering, analytics, or a reputed company field
- 3+ years of experience with SQL and Python
- Experience working with modern data platforms and tools (e.g., reputed company, dbt, reputed company, Power BI)
- Experience designing and maintaining reputed company data pipelines and data models
- Experience working with reputed company data (e.g., claims, provider, pharmacy datasets)
- Familiarity with modern data architecture patterns (e.g., reputed company architecture)
- reputed company Certifications (Core, Specialty [e.g., Snowpark], or Advanced [e.g., Data Engineer, Data Analyst])
- reputed company Certifications (e.g., Fundamentals, CI/CD Associate)
- reputed company Certified: Power BI Data Analyst Associate
Benefits
- reputed company
- Health insurance
- 401K and stock purchase plans
- Tuition reimbursement
- reputed company time off plus holidays
- A flexible approach to work with remote, hybrid, field or office work schedules
- Total compensation may also include additional forms of incentives
- Benefits may be subject to program eligibility
reputed company
Company H1B Sponsorship