Senior Software Engineer I - Data & Insights Engineering
New
Based in the United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- Minimum of 4 years of experience building backend applications; At least 3 years of hands-on experience working with SQL
- Required Skills
- Node.jsPythonSQLETLJavaKafkaSnowflakeBigQueryRedshiftDatabricks
Requirements
- Bachelor's degree or higher in Computer Science, Engineering, or a related technical field.
- Minimum of 4 years of experience building backend applications within cross-functional engineering teams.
- At least 3 years of hands-on experience working with SQL or other database querying languages on large, complex datasets.
- Proven experience serving as a trusted technical contributor and decision-maker within engineering teams.
- Previous experience mentoring or coaching software engineers and supporting team development.
- Strong proficiency in backend programming languages such as Python, Java, Node.js, or similar technologies.
- Significant experience in data engineering, including the design and optimization of data pipelines and ETL frameworks.
- Experience with modern data platforms and technologies such as Databricks and cloud data warehouses including Snowflake, BigQuery, or Redshift.
- Strong understanding of large-scale data processing, storage technologies, and performance optimization techniques.
- Experience with streaming and ingestion technologies such as Kafka or comparable platforms.
- Familiarity with database scalability concepts including replication, sharding, and high-availability architectures.
- Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
- Experience implementing CI/CD pipelines and software delivery best practices.
- Understanding of security principles and experience working with systems that manage sensitive or regulated data.
Responsibilities
- Design, develop, and maintain scalable backend systems, data pipelines, and analytics infrastructure that support business intelligence and operational insights.
- Build secure, maintainable, and high-performing solutions capable of processing large volumes of data efficiently and reliably.
- Partner closely with engineering leaders, product teams, and cross-functional stakeholders to define technical roadmaps and deliver impactful solutions using Agile methodologies.
- Develop and optimize ETL processes and data workflows that transform complex datasets into actionable intelligence.
- Contribute to the evolution of data architecture, ensuring scalability, performance, stability, and long-term maintainability.
- Monitor and improve data system performance, proactively identifying opportunities for optimization and operational excellence.
- Participate in technical decision-making processes, balancing short-term priorities with long-term engineering strategy.
- Mentor and support junior engineers through coaching, technical guidance, and comprehensive code reviews while fostering engineering best practices.
- Promote high standards in software quality, security, testing, documentation, and continuous improvement initiatives.
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