Data Engineer

Job Description This is a remote position. About the Role As a Data Engineer at Aspire, you will be responsible for designing, building, and maintaining the data pipelines and automation systems that power our cloud cost visibility, attribution, and performance insights. You will build scalable datasets and tooling that enable cost-aware decision-making across Product, Engineering, and Finance stakeholders, while optimizing data systems for performance, reliability, and cost efficiency. This role requires close partnership with Engineering and Finance teams to support cost optimization initiatives and ensure data quality across end-to-end workflows. This position is open to candidates working in US-based timezones (EST/CST). What You'll Do Design, build, and maintain the Cloud Economics team's data pipelines and automation systems. Build and maintain scalable data pipelines and datasets that power cloud cost visibility, attribution, and performance insights. Design and implement data models and ingestion frameworks to support large-scale telemetry and usage data. Develop tooling that enables cost-aware decision-making across Product, Engineering, and Finance stakeholders. Optimize data systems for performance, reliability, and cost efficiency (query tuning, storage strategies, compute optimization). Partner with Engineering and Finance teams to support cost optimization initiatives and usage-based insights. Ensure data quality, validation, and auditability across end-to-end data workflows. What You'll Need Strong Data Engineering foundation with proven experience building and maintaining end-to-end ELT/ETL pipelines in cloud environments. Strong SQL and Python skills (Scala is a plus). Experience with orchestration tools such as dbt, Airflow, or Dagster. AWS data ecosystem experience, including AWS Glue, Amazon Athena, and Amazon Aurora. Experience with Snowflake as a cloud data warehouse. Strong data modeling and large-scale data processing experience. Experience with CI/CD, version control (GitHub), and Infrastructure as Code (Terraform). Experience with REST API integrations. Demonstrated ability to optimize data pipelines for performance and cost. Strong analytical skills with experience in data validation, auditing, and troubleshooting production pipelines. FinOps Foundation Certification (Practitioner or Engineer). Experience with cloud cost optimization, tagging strategies, or cost monitoring. Experience with both AWS and GCP. Experience with Datadog for monitoring and observability. Background in data platform or shared infrastructure engineering. Awareness or knowledge of IT security best practices as defined by ISO / SOC or similar standards Why Aspire In addition to a competitive long-term total compensation package with salary and performance-based bonus, we have a reward philosophy that goes beyond compensation. Be part of a remote-first organization where flexibility is embraced. Work and learn alongside talented engineers and technology leaders. Explore opportunities to learn and grow through technical and non-technical training programs. Gain global exposure by working on products with international teams and clients. Attend virtual and in-person international technology conferences to expand your knowledge and network. Exposure to working in an IT environment that adheres to rigorous security and compliance standards defined by ISO / SOC .