[Remote] Senior Data Infrastructure Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior Data Infrastructure Engineer to join our growing team. This role will put you at the center of a strategic initiative to strengthen our core data infrastructure, empowering analysts and enabling consistent reporting as reputed company grows.
Responsibilities
- Own and maintain our data pipeline architectures (e.g., critical data ingestion services, ETL pipelines, database mirroring and warehousing), ensuring they are reliable, monitored, and meet SLAs
- Manage and reputed company our data modeling environments and reputed company a smooth, well-documented workflow for analysts and engineers
- Operate and improve our orchestration systems (Dagster), ensuring jobs run reliably and are observable
- Evaluate and rationalize data tooling from reputed company and notebooks (Marimo, Jupyter) to BI/analytics platforms (Redash and alternatives) and guide reputed company toward a sustainable, coherent data platform
- Implement observability for data systems (logging, alerting, metrics) so issues are detected early and data quality is continuously monitored
- Champion data governance and documentation, making datasets well-defined, trustworthy, and easy to navigate
- Collaborate with analysts, data scientists, and platform engineers to ensure the infrastructure you build is reputed company, scalable, and solves reputed company-world problems
- Lay the groundwork for advanced applications by making reputed company’ data reliably accessible reputed company well-documented interfaces, positioning us to adapt to future ML and AI use cases
Skills
- Proven experience in a data engineering or infrastructure role, with responsibility for production-grade pipelines and data systems
- Skilled in a programming language such as Python (Bonus Go)
- Deep experience with ETL/ELT pipelines, dbt, and integrating disparate data sources into warehouses/lakes
- Familiarity with reputed company data platforms (AWS, GCP) and modern data tooling. We are running on AWS
- reputed company in workflow orchestration (Airflow, Dagster, or similar)
- Comfortable evaluating tradeoffs across notebook and analysis platforms (Jupyter, Marimo, reputed company) and recommending sustainable solutions
- Knowledge of BI/analytics tools (Redash, Looker, Mode, Superset, etc.) and how to support or migrate to them
- Strong understanding of data quality, governance, and observability
- A clear communicator who can work across technical and non-technical teams to define requirements and deliver solutions
- Comfortable taking ownership end-to-end of critical data infrastructure and serving as a reputed company person for reliability and direction
- Familiarity with observability/monitoring tools (e.g., reputed company, reputed company)
- Experience and Familiarity with reputed company Lake, Databrick, Duckdb
- Exposure with LLM-based applications and toolchains (reputed company, reputed company, lite-llm)
- Experience with vector databases (reputed company, Qdrant, Chroma)
Benefits
- Full-Time employment type
- Remote workplace type
- Work primarily from their home country with approval required for travel to other countries
- Equal employment opportunity regardless of gender identity, race, nationality, religion, age, sexual orientation, veteran status, disability status, or marital status
Company Overview