Data Engineer — Cloud Pipelines & Analytics

Stuller, Inc.

Lafayette (LA)

On-site

USD 90,000 - 135,000

Full time

10 days ago

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Job summary

Stuller, Inc. is seeking a Data Engineer to design and maintain data pipelines that feed a cloud data warehouse. You’ll work with the Data Engineering team to implement end-to-end data solutions, write dbt models, and support analytics initiatives using Snowflake, AWS, and Python.

The role emphasizes collaboration with analytics and data science teams, adherence to data security practices, and ongoing design/code reviews in a fast-paced environment.

Qualifications

  • Bachelor’s degree in CS or related field or equivalent experience.
  • Foundational SQL and relational database concepts.
  • Exposure to ETL/ELT concepts and pipeline tools, including Airflow.
  • Basic familiarity with dbt or a similar transformation framework.
  • Understanding of core data warehouse concepts, including schemas, roles, and warehouses.
  • Awareness of the cost implications of compute-intensive queries.
  • Strong problem-solving skills and attention to quality and detail.
  • Strong communication skills within a team setting.
  • Ability to manage assigned work, follow established guidelines, incorporate feedback through regular reviews.

Responsibilities

  • Build, test, and maintain ETL/ELT pipelines that move data from ingestion to consumption using established tools and patterns, including Airflow.
  • Write and test dbt models under the guidance of senior team members.
  • Write performant SQL while following established schema conventions in the Snowflake data warehouse.
  • Transform and integrate data from multiple sources into models that support reporting and analytics.
  • Support semantic layer development and analytics engineering practices under senior team guidance.
  • Monitor data workflows, troubleshoot issues, and help identify and resolve data quality concerns.
  • Follow established data security, governance, testing, and deployment practices.
  • Develop awareness of warehouse compute costs and avoid wasteful query patterns.
  • Collaborate with analytics and data science teams to understand and support their data needs.
  • Complete well-defined tasks reliably, participate in regular design and code reviews, incorporate feedback, and escalat...

Skills

SQL
Relational databases
Airflow
dbt
Data modeling
Problem solving
Team communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Snowflake
AWS
Python

Job description

Stuller, Inc. is seeking a Data Engineer to design and maintain data pipelines that feed a cloud data warehouse. You’ll work with the Data Engineering team to implement end-to-end data solutions, write dbt models, and support analytics initiatives using Snowflake, AWS, and Python.

The role emphasizes collaboration with analytics and data science teams, adherence to data security practices, and ongoing design/code reviews in a fast-paced environment.

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