We are seeking a Software Engineer, Data (L1) to join our Enterprise Data team. The successful candidate will be responsible for building technology and pipelines to onboard raw datasets into our data platform, and will work in a team environment to ensure high quality and best practices are maintained. Our data platform is transitioning to Palantir from a Google and Microsoft hybrid cloud tech stack.
Requirements
- 2+ years of engineering experience with data warehouses, data lakes or software engineering with a data emphasis
- Strong SQL knowledge
- Proficient in Scala, Python, or Java
- Well versed in Data Lake & Delta Lake Concepts
- Understanding of data security best practices
- Well versed in Databricks/BigQuery/Palantir usage in building enterprise data platforms
- Familiarity with implementing end-to-end data pipeline and Ontology development using Palantir platform is a plus
- Familiarity with data orchestration technologies like Airflow, Dagster, or Fivetran
- Experience with cloud environments; (GCP, Azure) a definite plus
- Familiar with DevOps process
- Experience creating and sharing standards, best practices, documentation, and reference examples for data warehouse, integration/ETL systems
- Apply a disciplined approach to testing software and data
- Experience working with APIs
- Well versed in common data frameworks such as Spark & Polars
Benefits
- Competitive compensation
- Generous vacation policy, paid holidays, and paid sick time
- Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid)
- Company-paid Short-Term and Long-Term Disability Insurance
- Company-paid Group Life insurance
- Company-paid Employee Assistance Program (EAP) and Calm App subscription
- Employee-paid Pet Insurance and optional supplemental insurance coverage
- Vested 401(k) with company match and financial wellness programs
- Flexible Spending Account (FSA), Health Savings Account (HSA) and commuter benefits options
- Paid maternity leave, paid paternity leave, and fertility benefits
- Career growth and learning opportunities