Verse
Software Engineer, Data Engineering
United States · Staff+
Sponsorship not specified$180k-$250kDetected 91 days ago
PythonJavaRustScalaCode ReviewPostgreSQLBigQuerySnowflakeRedshiftDatabricksGCPTemporalKafkaMachine LearningSparkAirflowdbtData EngineeringData ScienceLLMsAI OrchestrationForecastingCommunicationHadoop
About the role
- You will be an integral part of scaling our data platform as the company grows.
Responsibilities
- Implement, maintain, and promote best practices and hygiene in our dataland code repository for others to follow and emulate
- Partnering closely with our Data Science and data-heavy internal teams to support various analytical and AI/ML workflows
- Participate in code reviews, maintain technical documentation, and adhere to best software development practices
- Experience building event-driven architectures with streaming tools such as Kafka, NATS, GCP Pub/Sub, Kinesis, Bufstream, Flink, Beam
- Comfort building internal dashboards and data-focused visualizations
Requirements
- We believe speed and perseverance must be accompanied by thoughtfulness and reflection
- Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
Nice to have
- Ensure data quality, contracts and integrity with best practices around access, governance, and federation throughout the data lifecycle
- Write shared libraries and reusable data tools across a variety of data flows, sources, and sinks
- Foster a culture and mindset of well-designed systems, test-driven software, and proactive communication with a high degree of transparency, mutual respect, and consideration for teammates
- Advanced software development skills in Python, Rust, Java, Scala, or similar data-oriented language ecosystems
- Deep understanding of databases, data {lake,ware}house architectures, and data pipeline solutions across heterogeneous data and workloads in cloud-native environments
- Proficiency in carefully handling large, complex data and processing them (streaming and batch) in both transactional and analytical settings
- Commitment to delivering high quality software on time or ahead of schedule while adhering to best software development practices
- Discipline using generative AI tools in day-to-day work
Compensation
- $180,000 - $250,000+
- This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant.
- A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.
- Competitive compensation and equity grant at a high-growth start up
- All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.
Benefits
- Competitive compensation and equity grant at a high-growth start up
- Comprehensive benefits package including medical, dental and vision insurance, and 401k
- Flexible hours and unlimited PTO
- Continuous obsession for staying informed on contemporary technologies, tools, libraries, services, frameworks, or breakthroughs that could benefit the team
- Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations
- Benefits and Employee Perks
Company info
- We lift each other up with humility and kindness, always putting colleagues and customers first
- Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
- Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
- We prioritize effective communication to build trust with our team, customers, and stakeholders
Equal opportunity
- Verse is an equal opportunity employer.
This listing is sourced directly from Verse's careers page and normalized into a canonical job model.