Data Software Engineer (L1) - Enterprise Pipelines

Acrisure, LLC

Austin (TX)

Hybrid

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Generous vacation policy
Medical, Dental, and Vision Insurance
401(k) with company match

Job summary

Acrisure, LLC in Austin, TX is seeking a Software Engineer, Data (L1) to enhance our data platform by onboarding raw datasets from diverse sources. This hybrid role involves using technologies like Databricks and BigQuery while working within a collaborative team environment.

The ideal candidate will have a strong background in SQL and experience with data pipelines, as well as a commitment to testing and best practices. Join us to make a significant impact as we grow and innovate.

Qualifications

  • 2+ years of engineering experience with data warehouses, data lakes or software engineering with a data emphasis.
  • Familiarity with implementing end-to-end data pipeline and Ontology development using Palantir platform is a plus.
  • Experience creating and sharing standards, best practices, documentation, and reference examples for data warehouse, integration/ETL systems.

Responsibilities

  • Leverage established patterns and establish new patterns to rapidly onboard new data sets into the data platform.
  • Establish repeatable, automated data management processes for managing sensitive information.
  • Collaborate with product on priorities and approach and with other engineering teams.

Skills

Strong SQL knowledge
Proficient in Scala
Proficient in Python
Proficient in Java
Well versed in Data Lake & Delta Lake Concepts
Understanding of data security best practices
Experience with APIs

Education

Undergraduate degree in computer science or related discipline

Tools

Databricks
BigQuery
Cloud environments (GCP, Azure)
Data orchestration technologies like Airflow

Job description

Acrisure, LLC in Austin, TX is seeking a Software Engineer, Data (L1) to enhance our data platform by onboarding raw datasets from diverse sources. This hybrid role involves using technologies like Databricks and BigQuery while working within a collaborative team environment.

The ideal candidate will have a strong background in SQL and experience with data pipelines, as well as a commitment to testing and best practices. Join us to make a significant impact as we grow and innovate.

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