Software Engineer, Data (L1)
On-siteAustin, Texas, United States
Job Summary
Software Engineer, Data (L1) based in Austin, TX (onsite 4 days per week) responsible for building technology and pipelines to onboard raw datasets into the data platform, developing automated data management processes, and delivering high-quality software in a team environment. Key duties include rapidly onboarding new data sets into the data platform, contributing to design and code reviews, collaborating with product and other engineering/AI teams, and applying patterns to support data pipelines and Ontology development using Palantir Foundry, with a tech stack that includes Python/Scala/Java, SQL, and frameworks such as Dataflow, Apache Airflow, Apache Spark, dbt, Delta Lake, Apache Iceberg, and cloud services (BigQuery, Azure). The role emphasizes data security, standards and documentation, testing discipline, and on-site collaboration within a FinTech context.”} } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } }}; } } } }}} (Note: The summary starts with job-specific details and focuses on responsibilities and skills as stated.)
Required Qualifications
- Undergraduate degree in computer science or related discipline preferred or equivalent experience
- 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
- Familiarity with Databricks/BigQuery/Palantir usage in building enterprise data platforms
- Experience with data orchestration technologies like Airflow, Dagster, or Fivetran
- Experience with cloud environments (GCP, Azure) a definite plus
- Experience with DevOps processes
- Ability to design, implement, and share standards, best practices, documentation, and reference examples for data warehouse/ETL systems
- Experience working with APIs
- Bachelor’s degree in computer science or related discipline preferred or equivalent experience
- Comfortable with on-site presence to support collaboration and cross-functional partnership
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