Backend Engineer - Data Infrastructure

Note: This is a remote position but you MUST work EST hours.

We are looking for a Backend Engineer to join our Data Infrastructure engineering organization. You will forge new ground in how we help teams build analytics for internal and industry-facing tools. Our platform enables capabilities that include showing creators how many streams their latest release has to informing internal teams about their cloud resource usage.

As a part of a platform team, you will help exemplify, measure, and raise the reliability of data infrastructure of squads across different verticals within our organization. You'll work closely with engineers to provide OLAP capabilities to build dynamic, reliable data visualizations and share responsibility with them in diagnosing, resolving, and preventing production issues. We are strong believers in engineering teams taking operational responsibility for their products and work hard to support them in this.

What You'll Do

• Build, operate, and evolve a data analytics platform that includes backend services as well as an OLAP data store (Druid) for teams building analytics across the company.
• Build internal tooling, libraries, and services that streamline integration patterns with our analytics platform.
• Advocate for best practices in service design, data modeling, schema evolution, and contract testing to ensure long-term maintainability.
• Work in an autonomous, cross-functional environment and collaborate with squads across the organization to continuously iterate and deliver on new product objectives.

Who You Are

• 3+ years of relevant experience with distributed datastores and backend services.
• Proficient in Java and excited to learn Kubernetes and Terraform.
• Understanding of data modeling, dimensional schemas, and analytical query patterns.
• Experience building internal developer tools, libraries, or shared services that support large engineering organizations.
• Strong sense of ownership of service quality, SLOs, and operational excellence.
• Familiar with OLAP databases or analytics warehouses (e.g., Druid, ClickHouse, Pinot, BigQuery, Snowflake). Experience with Druid is a strong plus.
• Comfort with metrics-driven development and observability stacks (Prometheus, Grafana, or similar).
• A strong communicator and an empathetic, attentive listener with the capability to anticipate the needs of partners.
• Deeply curious and passionate about exploring both technical and organizational problems and domains.
• Eager to learn new technologies and expand your area of expertise.

The target hiring compensation range for this role is $59.00 to $63.00. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.

**About Skill:**

Skill connects the best professional, IT, engineering, financial and administrative talent with the world's biggest brands. Our eligible talent get access to benefits such as health benefit contributions, retirement plans with match and flexible spending accounts.

Skill is an equal-opportunity employer. We evaluate qualified applicants without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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