Staff Software Engineer, Data Engineering at Jobgether – United States

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Software Engineer, Data Engineering in United States.

This role is ideal for a highly skilled engineer who thrives at the intersection of technical leadership, enterprise data architecture, and cross-functional collaboration. You will lead the design and implementation of scalable, governed, and reliable data solutions that power analytics, reporting, and AI-enabled decision-making. Working closely with product, analytics, and engineering teams, you will shape the roadmap for data enablement, define standards for quality and governance, and deliver reusable data products across the organization. This position provides the opportunity to influence technical strategy, mentor engineering talent, and contribute to high-impact initiatives that improve operational efficiency and business outcomes. You will work in a fast-paced, collaborative environment that values innovation, clarity, and measurable results.

• Own the technical strategy and roadmap for enterprise data architecture, including ingestion, storage, modeling, and serving layers for analytics and applied statistics.
• Design, implement, and maintain scalable, secure, and cost-efficient data platforms, including data lakes, warehouses, marts, and semantic layers.
• Define and enforce architectural patterns, data contracts, and integration standards used across engineering and product teams.
• Lead the design of logical and physical data models, implementing data quality, validation, and monitoring frameworks to support trusted analytics.
• Partner with cross-functional teams to translate governance policies and enterprise definitions into concrete technical implementations.
• Develop core, reusable data products and support AI-assisted analytics and reporting tools to improve productivity for business and analytics users.
• Ensure production data delivery meets defined SLAs, supports downstream applications, and aligns with enterprise standards.
• Lead large-scale technical initiatives, mentor engineers, and establish best practices for collaboration, governance, and platform health.

Requirements:

• 8+ years of experience building, maintaining, and orchestrating scalable data platforms, pipelines, and analytics solutions.
• Demonstrated Staff-level impact, including leading cross-team initiatives, making architectural decisions, and influencing organizational roadmaps.
• Deep experience with cloud data ecosystems (e.g., AWS) and modern data warehouses (Redshift, Snowflake, BigQuery).
• Strong expertise in data modeling for OLTP and OLAP, and designing reusable data products for BI, reporting, and analytics.
• Hands-on experience implementing data quality, observability, and governance frameworks, preferably in regulated or PHI/PII-sensitive environments.
• Proficiency in SQL and at least one modern programming language used in data engineering (Python, Java, Scala).
• Experience with workflow orchestration tools (e.g., Airflow) and familiarity with event-driven or streaming data patterns.
• Knowledge of BI and analytics tools (e.g., Tableau, Amplitude) and their integration with governed data layers.
• Excellent communication, collaboration, and cross-functional leadership skills; ability to explain complex technical concepts to non-technical stakeholders.
• Highly self-directed, able to operate in ambiguous environments, and focused on delivering measurable business outcomes.

Benefits:

• Competitive salary with generous annual cash bonus and equity grants.
• Remote-first work culture with flexible time off to rest, recharge, and balance personal priorities.
• Comprehensive health, dental, and vision insurance with above-market employer contributions.
• Generous parental leave policies.
• 401(k) retirement savings plan.
• Lifestyle Spending Account (LSA) and mental health support solutions.
• Opportunities to mentor, lead cross-functional initiatives, and shape enterprise data strategy.