Senior Data Engineer II
New
This role is open to candidates residing in the US and Canada except the San Francisco Bay Area and New York Metro City.Full-TimeSenior
Salary$134,470—$203,400 USD
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Job Details
- Experience
- 10+ years of work experience as a Software Engineer with data focus or as Data Engineer.
- Required Skills
- AWSPythonSQLFastAPISparkData modelingDatabricksPySpark
Requirements
- Bachelor's degree in computer science, data engineering, data science, information technology, or an equivalent engineering program.
- 10+ years of work experience as a Software Engineer with data focus or as Data Engineer.
- 8+ years of experience building and maintaining large-scale, production-grade end-to-end data pipelines, including Data Modeling.
- 5+ years of hands-on Spark / PySpark in a production environment, including job optimization.
- 3+ years of hands-on experience developing and managing APIs, preferably in Python.
- Strong programming capabilities in Python and SQL.
- Experience with cloud data warehouse/lakehouse platforms (e.g., Snowflake, Google BigQuery, Databricks, or Apache Iceberg).
- Familiarity with ETL tools such as Fivetran or dbt.
- Experience with RDBMS such as MySQL, AWS RDS/Aurora, PostgreSQL, Oracle, or MS SQL Server.
- Experience working within AWS, Azure, or GCP cloud environments.
Responsibilities
- Develop and maintain end-to-end data pipelines and backend ingestion workflows.
- Participate in the build of the Data Platform to enable advanced automation and analytics.
- Design, build, and operate large-scale Spark and PySpark workflows for batch and streaming data processing.
- Design, build, and manage data APIs in Python using frameworks such as FastAPI.
- Build and maintain MCP servers that expose data assets and engineering workflows to AI models.
- Define and enforce data engineering standards, patterns, and best practices.
- Provide mentorship to junior team members and deliver technical guidance.
- Engage with cross-functional stakeholders to design scalable data solutions.
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