Paces AI Inc. seeks a Data Engineer to design and implement scalable ETL data pipelines from hundreds of data sources. Monitor and troubleshoot data workflows, ensuring uptime and issue resolution across production pipelines. Build and manage data models to enable consistent and scalable access across applications and teams. Maintain detailed documentation of data processes, architecture decisions, and pipeline configurations. Develop and maintain internal data tools and frameworks to support data modeling, transformation, and validation. Optimize storage and retrieval systems for performance and reliability. Analyze large datasets to extract actionable insights and support machine learning and analytics initiatives. Ensure data quality, consistency, and security across the platform. Participate in code reviews and provide technical mentorship on best practices for data engineering. Develop and enforce version control and CI/CD strategies for data workflows and infrastructure code. Collaborate closely with our CTO, Data Infra Lead, Product Lead, and team to directly impact product roadmap. Position requires a Masters degree in Engineering (any), IT/IS, Analytics (any) or related field of study and one (1) year of experience in the job offered or related occupation in which the required experience was gained. Applicants must also have demonstrated experience in the following: Data engineering concepts, algorithms, and system design; Programming languages, such as Python, Rust or Scala; SQL; Complex queries, query optimization, and working with various database systems; Big data tools such as Spark; Data pipeline tools such as Dagster, Airflow or Prefect; and Building robust, scalable and performant data pipelines on the cloud (AWS, GCP and Azure). To apply, submit a resume to or submit a resume to Must Reference Job Title: Data Engineer & Job Code: R26. EOE.
Job Title
Data Engineer