Senior Data Engineer (Data Platform)

This position is posted by Jobgether on behalf of Brightline. We are currently looking for a Senior Data Engineer (Data Platform) in United States.

This role is designed for a highly skilled data engineering professional who will lead the design, development, and maintenance of robust data pipelines and platforms. You will ensure the reliability, scalability, and security of the organization’s data infrastructure while enabling analytics, reporting, and AI/ML initiatives. The position offers opportunities to collaborate across technical and business teams, translating requirements into efficient, high-quality data solutions. You’ll work in a fast-paced, high-growth environment where innovative thinking and problem-solving directly impact business outcomes. The role emphasizes best practices, cost optimization, and providing trusted data for decision-making across the organization.

Accountabilities

• Own and maintain the modern data platform, ensuring data integrity, security, and scalability across systems.
• Monitor and optimize Snowflake, dbt transformations, data ingestion pipelines, and Tableau analytics layers.
• Build data pipelines and APIs to connect across data systems and unlock new business capabilities.
• Implement data engineering best practices, including CI/CD workflows, testing, and documentation.
• Design and maintain scalable dbt models and ELT pipelines supporting analytics, reporting, and AI/ML use cases.
• Partner with analysts and stakeholders to deliver trusted, business-ready data sets.
• Reduce complexity and optimize storage and consumption costs.
• Design and maintain dashboards, including Tableau administrative management.
• Collaborate across technical and non-technical teams to translate business requirements into engineering solutions.
• Identify and implement efficiencies in platform architecture, data processes, and pipeline performance.

Requirements

• 5+ years of experience in data engineering or similar roles, with a strong track record of modern data infrastructure development.
• Expert-level proficiency in SQL and Snowflake data warehousing.
• Deep experience with dbt for data modeling, testing, and documentation.
• Familiarity with Tableau Server, ideally as an administrator.
• Proficient with version control (GitHub) and CI/CD practices.
• Some experience with Python and API development.
• Ability to design efficient, scalable, and reliable data systems that meet real-world business needs.
• Comfortable navigating ambiguous or evolving business contexts and providing data clarity.
• Strong communication skills for technical and business audiences.
• Knowledge of data engineering best practices, security considerations, and cost optimization.
• Startup experience and ability to thrive in fast-paced, high-growth environments.
• Nice to have: Experience with Segment, Amplitude, Iterable, marketing analytics, front-end data visualization, and AI/ML engineering practices.

Benefits

• Base salary: $140,000 – $190,000 USD annually, geo- and performance-based.
• Equity and stock options.
• Health, dental, vision, long-term disability, and life insurance.
• Flexible spending accounts and 401(k) plan.
• 12 company holidays plus floating holidays, flexible time off, and parental leave.
• Home office reimbursement, health and wellness stipend, and professional development reimbursement.
• Remote-first work environment.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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