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Screenverse

Data Engineer

Posted Yesterday
In-Office or Remote
8 Locations
Mid level
In-Office or Remote
8 Locations
Mid level
As a Data Engineer, you'll build data infrastructure, manage ETL pipelines, ensure data quality, and collaborate with teams for analytics and reporting solutions.
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About Us

Screenverse stands as the world's largest and most diverse digital screen network. Our approach blends top-tier technology with exceptional talent to optimize the monetization of digital screens in the physical world for our networks. As programmatic experts, we provide a streamlined experience through a single access point, offering expansive reach through our extensive coverage and delivering comprehensive support alongside strategic collaboration.

We're looking for a collaborative Data Engineer who enjoys building reliable, scalable data systems that make a real-world impact. Join our small and focused engineering team in transforming Digital out of Home, reporting to the Engineering Manager. As our founding Data Engineer, you'll build the foundation for data-driven decision making across our continually growing customer base.

What you'll be doing
  • Building out ETL pipelines and data infrastructure to support our reporting and analytics needs, owning efforts currently handled by senior engineering leadership.

  • Taking ownership of data quality and reliability, implementing monitoring and governance practices that ensure our Finance, Sales, Customer Success, and Supply Partnership teams can trust the data they rely on daily.

  • Stabilizing and improving our existing Postgres-based data pipelines that power billing and revenue reconciliation processes for our Finance team. Your work will directly enable the team to scale efficiently and grow our partner base.

  • Designing and implementing our migration to a modern data warehouse architecture, laying the groundwork for improved analytics and self-service reporting capabilities.

  • Contributing to our data strategy roadmap, from identifying pain points to independently driving infrastructure improvements. We’re open to adding new tools and implementing new infrastructure based on utility.

  • Collaborating closely with stakeholders from our Product team to business users across the organization to understand requirements and deliver reliable data solutions.

  • Establishing data engineering best practices and documentation standards as we build out the data function for future team growth.

Who you are
  • 3+ years of data engineering experience, but we value quality of experience over quantity.

  • Expert-level SQL skills with deep knowledge of PostgreSQL, including database design, performance optimization, and working with large datasets.

  • Experience building and maintaining high-throughput production data pipelines, with a heavy emphasis on data quality.

  • Delivery-focused and able to succeed in a dynamic startup environment where initiative and ownership are celebrated..

  • Capable of diagnosing and fixing complex data pipeline issues while simultaneously planning for future infrastructure needs.

  • Data evangelist who champions best practices throughout the organization and understands the value in monitoring, testing, and proper documentation.

  • Excels in a collaborative, fully remote environment and can communicate effectively with both technical and business stakeholders. Comfortable with asynchronous dialogue.

  • Located anywhere in or between Pacific and Central Europe timezones. Able to join meetings between 10am and 1pm ET.

  • Comfortable taking lead role on build vs buy when faced with infrastructure decisions and capable of vetting potential solutions

  • Nice to haves:

    • Familiarity with Elixir or a similar programming language

    • Previous experience as first data hire or building data functions from scratch

    • Background in high-throughput systems or ad tech platforms

Our tech stack
  • PostgreSQL

  • Elixir

  • AWS

  • QuickSight

  • Prometheus

  • Github Actions CI/CD

  • Axiom

  • ...and open to modern data stack tools!

What we offer
  • Fully remote employment from anywhere in, or between, Pacific and Central Europe timezones.

  • Flexible PTO and unlimited sick days.

  • Comprehensive health and wellness benefits.

  • Company-matched retirement savings.

  • Life, short-term, long-term disability coverage.

  • $500 home office stipend.

  • Stock options.

  • Parental leave: 6 weeks of leave at full pay. Primary caregivers receive an additional 6 weeks.

  • Annual Company Offsite: A dedicated time each year for the full team to connect in person, reflect, collaborate, and have fun together.

  • Summer Fridays: Extra flexibility during the summer months to start the weekend early and recharge.

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 D&TO member, VP of Data

  • Founder Interview - 30 minutes

Salary:

Salary is based on a range of factors that include relevant experience, knowledge, skills and other job-related qualifications. We expect the base salary range for this role to be between: $125,000-$165,000 USD. Our salary ranges are determined by role level and location. The actual base pay for the successful candidate in the role is dependent upon many factors, such as location, transferable, or job related skills, work experience, relevant training, business needs, and market demands. The salary range may be subject to change.

Screenverse is An Equal Opportunity Employer. All qualified applicants shall receive equal consideration regardless of race, color, religion, gender, marital status, gender identity or expression, sexual orientation, national origin, age, veteran status, or disability.

Top Skills

AWS
Elixir
Github Actions Ci/Cd
Postgres
Prometheus
Quicksight

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