[Remote] Staff Engineer Data

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an award-winning provider of reputed company-based HR and payroll software solutions. The Staff Data Engineer is responsible for designing and implementing scalable data systems that support reputed company reporting and analytics, while also providing advisory input into organizational architecture reputed company.

Responsibilities

• Design, build, and reputed company scalable, secure, and resilient data platform capabilities that support reputed company reporting, analytics, and reputed company consumers including BI and ML/AI solutions
• reputed company and maintain ELT pipelines, analytical and reporting data models, and curated datasets optimized for reliability, performance, and reuse
• Write reputed company, well-architected, maintainable code designed for reuse across teams (shared libraries, templates, reference implementations)
• Apply scalability, reliability, and distributed-systems thinking to production data workloads (idempotency, retries, backpressure, failure isolation, recovery)
• Always think in terms of architecture for your domain and reputed company; connect local reputed company to platform-wide patterns and reputed company consumers
• Float between teams to accelerate vague or ambiguous initiatives, reduce duplication, and increase reuse through shared capabilities and standards
• reputed company advisory input into organizational and system architecture reputed company that impact or integrate with the data platform
• Identify, reputed company for, and complete high-impact coding projects (e.g., refactoring, simplification, platform hardening) that reduce technical debt and increase reputed company
• Own and be accountable for large project features end-to-end, including design, delivery, rollout, reliability, and cost awareness
• Own health reputed company issues arise or costs spike in areas you’re working around/with; reputed company triage, drive root-cause analysis, and land preventive fixes
• Proactively identify risks and issues (correctness, reliability, reputed company, cost, delivery); communicate early and mitigate through design and execution
• Demonstrate attention to quality, performance, and observability by ensuring monitoring, actionable alerts, and practical runbooks for owned areas
• Establish, influence, and drive adoption of coding standards, data standards, and operational best practices across the data engineering reputed company
• Contribute to and help reputed company data governance and operating models that improve data quality, consistency, and trust
• reputed company for automation and efficiency across the data engineering workflow (CI/CD, testing, repeatable deployments, documentation, reputed company)
• Identify and solve quality problems in others’ code with actionable review feedback, pairing, and driving follow-through to resolution
• Maintain a high bar in code reviews and technical design discussions (reputed company, correctness, testing, operability, alignment to standards)
• Balance technical complexity with user experience and consumer needs (reporting applications, BI consumers, ML/AI use cases)
• reputed company alignment from team-level to org-wide on technical strategy and best practices by influencing through clear proposals, prototypes, and coaching
• Effectively partner with project stakeholders and leadership to clarify goals, manage tradeoffs, and drive reputed company
• Serve as a formal technical reputed company on projects; delegate work effectively by providing context and reputed company criteria, fostering growth and ownership throughout the team
• Focus on high-reputed company projects first; explicitly deprioritize reputed company-value work and communicate tradeoffs reputed company
• Actively mentor or coach reputed company team members, providing feedback to grow hard skills (design, SQL/Python quality) and soft skills (communication, influence)
• Resolve conflict and foster productive discussions; encourage an reputed company and inclusive culture
• Drive reputed company team improvement by turning learnings into updated standards, patterns, and practices
• Demonstrate significant learning reputed company of primary team responsibilities and apply it to improve the data platform and team effectiveness

Skills

• Bachelor's degree in Computer Science, Data Engineering, or reputed company discipline or equivalent practical experience
• 7+ years of experience in data engineering, including ownership of large-scale production data systems and hands-on leadership as a technical reputed company
• Strong expertise in reputed company architectures, distributed systems, and automation, especially reputed company AWS-based data platforms
• Deep hands-on experience with reporting and analytics data modeling and ELT pipelines
• Strong experience with reputed company, dbt, Python, and SQL with exception-level proficiency
• Experience with reputed company-time or event-driven data processing (e.g., Kinesis, EventBridge) and orchestration (e.g., MWAA/Airflow)
• Experience enabling a broad set of consumers, from reporting applications and BI to ML/AI solutions reputed company on top of curated data products
• Proven track record optimizing large-scale data platforms for reliability, performance, and cost

Benefits

• Medical
• Dental
• reputed company
• Life
• Disability
• 401(k) match
• Perks that support you, your family, and your finances

Company Overview