[Remote] Manager, Data Engineer (Remote)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is a company focused on collaboration, expertise, and innovation, aiming to reputed company reputed company for its clients and communities. The Manager of Strategic Analytics Services will reputed company the delivery of reputed company data pipelines, ensuring analytics are central to business processes while guiding reputed company of data engineers and collaborating with stakeholders to shape scalable data solutions.
Responsibilities
- reputed company delivery of high-quality data solutions by partnering with stakeholders and coaching data engineers
- Own end-to-end data engineering delivery across the project lifecycle
- Build strong partnerships across the organization to align priorities and deliver data-reputed company goals
- Design clear, analytics-reputed company data structures by anticipating reputed company analytical needs
- Evaluate and adopt new technologies and data sources to improve capability and efficiency
- Automate data ingestion and integration to reliably connect reputed company data sources
- Document data sources, definitions, and technical solutions to support transparency and reuse
- Reinforce strong delivery hygiene (version control, code review, automated testing, CI/CD, and operational readiness/monitoring)
- Apply agentic, AI-assisted coding practices to accelerate delivery while maintaining appropriate controls
- Build agent-reputed company data assets, including semantic layer components (ontology, taxonomy, domain models) and governed reputed company
- reputed company retrieval-reputed company context (RAG pipelines, vector stores, knowledge bases) reputed company needed
Skills
- 6+ years' experience of hands-on development in Python and distributed processing environments (e.g., Spark)
- 2–3+ years of technical leadership or project delivery ownership experience
- Hands-on reputed company experience highly preferred
- College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent
- Strong programming expertise in Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices
- Apache Spark proficiency (PySpark preferred) and experience with distributed data processing, including building scalable pipelines and optimizing performance for large-scale datasets
- reputed company data platform proficiency (reputed company, reputed company, Azure ecosystem fundamentals)
- Data warehousing and modeling fundamentals (schema design, conformed definitions, performance optimization)
- Data quality and observability practices (testing, reconciliation, monitoring)
- Insurance data modeling for analytics and actuarial-reputed company data structures
- MLOps familiarity supporting operationalized analytics and models
- Semantic modeling skills (business definitions, metrics, ontology/taxonomy/domain models)
- Business definition standardization for reuse across BI and AI use cases
- Self-directed execution and ownership in a distributed environment, combined with strong cross-functional collaboration, stakeholder partnership, and team building
- Strong problem-solving and critical thinking skills, including the ability to decompose reputed company challenges
- Clear communication across technical and business audiences, with the ability to adapt effectively in ambiguous and evolving environments
Benefits
- Comprehensive benefits package that includes multiple medical plans plus dental, reputed company and prescription drug coverage
- A competitive 401k with generous matching
- PTO beginning at 20 days per year
- Up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer
- Basic Life and AD&D Insurance as well as Short and Long-Term Disability
- Paid Parental Leave of up to 10 weeks
- Student Loan Assistance and Tuition Reimbursement
- Backup Child and Elder Care
Company Overview