Backend Engineer - Data Infrastructure
BayOne SolutionsAbout the role
Job details:
Job title: Backend Engineer - Data Infrastructure
Work Location: Remote
Duration: 06+ Months
Position Type : Contract
Note: This position is open to candidates who are authorized to work in the United States and can work from the U.S. East Coast time zone. This role does not offer visa sponsorship and is not available on a Corp-to-Corp (C2C) basis.
Job Description:
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 client. 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 data analytics platform that includes backend services as well as OLAP data store (Druid) for teams building analytics across Client.
Build internal tooling, libraries, and services that streamline integration patterns with our analytics platform.
Advocate for best practices in service design, data modelling, schema evolution, and contract testing to ensure long-term maintainability.
Work in an autonomous, multi-functional environment and collaborate with squads across Client 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, Terraform.
Understanding of data modelling, 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, similar).
You are a good communicator and an empathetic, attentive listener with the capability to anticipate the needs of partners
You are deeply curious and enjoy exploring both technical and organizational problems and domains.
You are eager to learn new technologies and to expand your area of expertise.
Responsibilities
- Build, operate, and evolve data analytics platform including backend services and OLAP data store.
- Build internal tooling, libraries, and services for integration with analytics platform.
- Advocate for best practices in service design, data modelling, and contract testing.
- Collaborate with squads to iterate and deliver on new product objectives.
Qualifications
- 3+ years of relevant experience with distributed datastores and backend services.
- Proficient in Java and eager to learn Kubernetes, Terraform.
- Understanding of data modelling, dimensional schemas, and analytical query patterns.
- Experience building internal developer tools and shared services.
Skills mentioned
About BayOne Solutions
BayOne is a minority-owned Technology and Talent Solutions Partner with a global footprint, headquartered in the San Francisco Bay Area. We excel at bridging talent and technology gaps, building strong teams in Project & Program Management, Cloud Computing, IT Infrastructure, Big Data, Software Engineering, User Experience Design, and more. Our commitment to customer success is matched by our passion for championing diversity in tech. We believe in sustainable practices and are dedicated to making a positive impact on the communities we serve. At BayOne, we’re more than a technology and talent partner—we’re a trusted ally in driving innovation and success. We are passionate about diversity in the tech industry and are dedicated to #MakeTechPurple. Our team will only email you via @bayone.com or @bayonesolutions.com email domains.