[Hiring] Data Engineer REMOTE USA

Position: Data Engineer

Date Posted: 22 January 2026

Industry: Information Technology / Data Engineering

Employment Type: Full Time

Experience: 3+ years of data engineering experience

Qualification: Bachelor’s degree or equivalent experience in a relevant field

Salary: $125,000 – $165,000 USD

Location: United States – REMOTE (Pacific to Central Europe timezones)

Company: Screenverse

Description:
Screenverse is the world’s largest and most diverse digital screen network, combining advanced technology with exceptional talent to optimize monetization for digital screens in the physical world. As a programmatic expert, we provide a streamlined experience through a single access point, offering expansive reach, comprehensive support, and strategic collaboration.

We are seeking a collaborative Data Engineer to join our small, focused engineering team. Reporting to the Engineering Manager, you will serve as our founding Data Engineer, building the foundation for data-driven decision-making across our growing customer base.

Key Responsibilities:

• Build ETL pipelines and data infrastructure to support reporting and analytics, taking ownership of tasks previously handled by senior engineering leadership.
• Ensure data quality and reliability by implementing monitoring and governance practices for Finance, Sales, Customer Success, and Supply Partnership teams.
• Stabilize and enhance existing Postgres-based data pipelines that power billing and revenue reconciliation for the Finance team.
• Design and implement migration to a modern data warehouse architecture to improve analytics and self-service reporting.
• Contribute to the data strategy roadmap, identifying pain points and independently driving infrastructure improvements.
• Collaborate with stakeholders from Product to business users across the organization to understand requirements and deliver reliable data solutions.
• Establish data engineering best practices and documentation standards for future team growth.

Required Skills & Qualifications:

• 3+ years of experience in data engineering (quality of experience valued over quantity).
• Expert-level SQL skills with PostgreSQL, including database design, performance optimization, and handling large datasets.
• Experience building and maintaining high-throughput production data pipelines with strong focus on data quality.
• Delivery-focused and able to thrive in a dynamic startup environment with initiative and ownership.
• Ability to diagnose and fix complex data pipeline issues while planning for future infrastructure needs.
• Data evangelist who champions best practices, monitoring, testing, and proper documentation.
• Effective communicator in a fully remote environment with both technical and business stakeholders.
• Located in or between Pacific and Central Europe timezones; able to join meetings 10am–1pm ET.
• Comfortable making build vs. buy infrastructure decisions and vetting solutions.

Nice-to-Haves:

• Familiarity with Elixir or similar programming language
• Previous experience as the first data hire or building data functions from scratch
• Background in high-throughput systems or ad tech platforms

Tech Stack:

• PostgreSQL, Elixir, AWS, QuickSight, Prometheus, Github Actions CI/CD, Axiom, and open to modern data stack tools

Benefits:

• Fully remote employment across specified timezones
• Flexible PTO and unlimited sick days
• Comprehensive health and wellness benefits
• Company-matched retirement savings
• Life, short-term, and long-term disability coverage
• $500 home office stipend
• Stock options
• Parental leave: 6 weeks at full pay; primary caregivers receive an additional 6 weeks
• Annual Company Offsite for team connection and collaboration
• Summer Fridays for extra flexibility

Interview Plan:

• Recruiter Screen – 30 minutes
• Hiring Manager Interview – 30 minutes (SVP of Engineering & Engineering Manager)
• Live Technical Exercise – 45 minutes
• Panel Interview – 45 minutes (1 Engineer, 1 TAM member, VP of Product)

Screenverse is an Equal Opportunity Employer, providing equal consideration to all applicants regardless of race, color, religion, gender, marital status, gender identity, sexual orientation, national origin, age, veteran status, or disability.

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