Staff Software Engineer, Data Engineering

Jobgether; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Remote-first culture

Comprehensive health insurance

Generous parental leave

401(k) retirement plan

Mental health support

Job summary

A tech recruitment partner is seeking a Staff Software Engineer specializing in Data Engineering in the United States. This role requires a highly skilled engineer to lead the enterprise data architecture and oversee the design and implementation of scalable data solutions. Candidates should have over 8 years of experience, especially with cloud data environments like AWS, and possess strong skills in data modeling and SQL. Competitive salary, remote-first culture, and comprehensive benefits are offered.

Qualifications

• 8+ years of experience in building and maintaining data platforms.
• Experience leading cross-team initiatives.
• Hands-on with data quality and governance frameworks.

Responsibilities

• Own the enterprise data architecture strategy and roadmap.
• Design and maintain scalable, secure data platforms.
• Implement data quality and monitoring frameworks.

Skills

Data platform orchestration

Technical leadership

Cloud data ecosystems (e.g., AWS)

SQL proficiency

Data modeling expertise

Collaborative skills

Programming languages (Python, Java, Scala)

Tools

Snowflake

Redshift

BigQuery

Airflow

Tableau

Job description

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.

Accountabilities

• 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.

Why Apply Through Jobgether?
We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.