Jobs / Pay***
Staff Engineer Data
Pay*** · United States
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United States117,900-168,000 USD/yearlyRemote
Remuneration
117,900-168,000 USD/yearly
Location
United States
Visa sponsorship
Sponsors visa
Job summary
Pay*** is an award-winning provider of cloud-based HR and payroll software solutions, offering the most complete platform for the modern workforce.
Benefits
Administration, Paylocity goes further by developingWe offer medical, dental, vision, life, disability, and a 401(k) match, as wellThat support you, your family, and your finances.And if it’s career development you desire, we provide that, too!At Paylocity, people matter most and have always been at the heart of our busineWant to develop the strategies and principles needed to deliver compelling softwTake your career to the next level at one of G2's Top 100 Software Companies.Explore our Product & Technology positions to see where you fit!This is a fully remote position, allowing you to work from home or location of rWith no in-officeOutlined hereBase pay information is based on market location.
Qualifications
- You must be available five days per week during designated work hours.
- The work arrangement for this role is subject to change based on business needs and individual performance.
- This may include adjustments to on-site
- Staff Engineer Data
- Position
- listed below are representative of the knowledge, skill, and/or ability required.
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Design, build, and evolve scalable, secure, and resilient data platform capabilities that support enterprise reporting, analytics, and downstream consumers including BI and ML/AI solutions.
- Develop and maintain ELT pipelines, analytical and reporting data models, and curated datasets optimized for reliability, performance, and reuse.
- Write modular, 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 beyond; connect local decisions to platform-wide patterns and downstream consumers.
Responsibilities
- The Staff Data Engineer is a senior technical individual contributor responsible for designing and implementing scalable, resilient data systems that support enterprise reporting and analytics.
- The below represents the primary
- of the position, others may be assigned as needed.
- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
- and apply it to improve the data platform and team effectiveness.
- Education and Experience
- Bachelor’s degree in Computer Science, Data Engineering, or related 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 lead.
- Strong expertise in cloud architectures, distributed systems, and automation, especially within AWS-based data platforms.
- Deep hands-on experience with reporting and analytics data modeling and ELT pipelines.
- Strong experience with Snowflake, dbt, Python, and SQL with exception-level proficiency.
- Experience with real-time or event-driven data processing (e.g., Kinesis, EventBridge) and orchestration (e.g., MWAA/Airflow).
Skills
CommunicationLeadership
Degrees
AssociateDegree
Work schedule
Shift
Industry
AutomotiveEducationPublic-sector
Company size
EnterpriseSmb