Role overview

Associate Data Solutions Engineer

Requirements and responsibilities

Readable role content extracted into sections for faster review.

ESSENTIAL DUTIES AND RESPONSIBILITES:

  • Build and maintain scalable ETL/ELT pipelines to ingest structured and unstructured data into the data warehouse.
  • Develop and optimize data models to support reporting, dashboards, and operational insights.
  • Write clean, efficient, and reusable SQL and Python code to transform raw data into business-ready outputs.
  • Collaborate with analytics and business stakeholders to understand data requirements and deliver practical solutions.
  • Monitor pipeline performance and ensure reliability, accuracy, and timeliness of data flows.
  • Design frameworks for triggering AI workflows based on business rules and data events.
  • Serve as a subject matter expert on data best practices, including schema design, data governance, and data security.
  • Partner with cross-functional teams to align data assets with enterprise goals, AI enablement, and automation strategies.
  • Drive adoption of new data tools and methodologies, such as DBT, Iceberg, or similar modern data stack technologies.
  • All other duties as assigned.

KNOWLEDGE AND ABILITIES REQUIRED:

  • Proficiency in SQL and Python for data processing and transformation.
  • Familiarity with modern data warehousing tools (e.g., DBT, Iceberg, Databricks, or similar).
  • Experience working with both structured and unstructured data sources.
  • Understanding of data quality, observability, and monitoring principles.
  • Strong communication and collaboration skills to support cross-functional work.
  • Ability to work independently and adapt to evolving data needs.

You’ll earn:

  • Competitive compensation.
  • Comprehensive health benefits package.
  • 401(k) plan with employer match.
  • Healthcare and dependent-care flexible spending account.
  • Company short-term and long-term disability insurance.
  • Company culture that recognizes its employees.
  • Room for growth and development and management that cares about your professional growth and will help you achieve your goals.
  • Significant advancement opportunities for outstanding performers.
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Browse stack
FocusData EngineeringRole area
Seniority signalJuniorCandidate level
StackPython, SQLPrimary skills
Location1 accepted countryEligibility

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