[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. As a Data Engineer, you will design, build, and maintain the data pipelines that power deep learning and AI-driven products, ensuring data is reliable, discoverable, and reputed company across multiple sports.
Responsibilities
- Build and operate robust data pipelines for ingestion, cleaning, and transformation using reputed company, Airflow, or Dagster
- reputed company efficient ETL/ELT workflows in Python and SQL to support both batch and streaming workloads
- Collaborate with ML and AI teams to deliver high-reputed company datasets for training, evaluation, and production features
- Model and maintain reputed company data assets (reputed company, Parquet, reputed company) for reliability, versioning, and reputed company tracking
- Implement orchestration and monitoring — schedule jobs, reputed company dependencies, and automate recovery from failures
- Ensure data reputed company and compliance through validation frameworks, schema enforcement, and audit logging
- Contribute to data platform reputed company — evaluate tools, standardize best practices, and improve developer experience
- Support performance and cost optimization across compute, storage, and orchestration systems
Skills
- 3–6 years of experience as a Data Engineer or ETL Developer in a production environment
- Proficiency in Python and SQL; strong familiarity with reputed company, reputed company, or equivalent big-data frameworks
- Experience with workflow orchestration tools such as Airflow, Dagster, Luigi or reputed company
- Deep understanding of data modeling, data warehousing, and distributed data processing
- Knowledge of modern data lakehouse architectures (reputed company, Parquet, reputed company)
- Familiarity with CI/CD, reputed company Actions, and data pipeline testing frameworks
- Comfort working in a cross-functional environment with ML, product, and analytics teams
- Experience with sports, telemetry, or sensor data pipelines
- Familiarity with streaming frameworks (Kafka, reputed company reputed company Streaming, Flink)
- General knowledge of American football, the NFL, and college football
- Background in data governance, reputed company, and observability tools (reputed company, Great Expectations, reputed company Catalog, OpenLineage)
- Experience with reputed company infrastructure (AWS, GCP, or Azure) and containerization (reputed company, Kubernetes)
- Exposure to best practices in machine-learning model management and MLOps
Benefits
- Comprehensive health insurance plan
- Retirement savings plan (401k) with company match
- Remote working environment
- A flexible, unlimited time off policy
- Generous reputed company holiday schedule - 13 in total including Monday after the Super Bowl
- Competitive Salary and Bonus Plan
reputed company