Software Engineer, Data (L1)

About the role

The Enterprise Data team’s mission is to unify data across the enterprise to optimize business decisions made at the strategic, tactical, and operational levels of the organization. We accomplish this by building a data foundation utilizing Palantir Foundry, AIP and Ontology that powers analytics and reporting platforms, and business processes that provide quality data, in a timely fashion, from any channel of the company and present them in such a manner as to maximize the value of that data for both internal and external customers.

Responsibilities

• Leverage established patterns and establish new patterns as required to rapidly onboard new data sets into the data platform
• Establish repeatable, automated data management processes for managing sensitive information
• Own deliverables while also collaborating with and supporting others in a team setting including conducting and participating in design and code reviews
• Collaborate with product on priorities and approach and with other engineering and AI teams who would consume raw data

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

Qualifications

• Undergraduate degree in computer science or related discipline preferred or equivalent experience along with a demonstrated desire for continuing education and improvement

Skills

• Scala
• Python
• Java
• Data Lake & Delta Lake Concepts
• Databricks
• BigQuery
• Palantir
• Airflow
• Dagster
• Fivetran
• GCP
• Azure
• DevOps
• Spark
• Polars

Benefits and Perks

• 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