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Data Engineer

8 hours, 23 minutes ago
United States
Full-time
Mid Level
Data Engineer
Software Development
Agile Azure CI/CD dbt GraphQL NetSuite Python REST API Salesforce Snowflake SQL
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AHEAD

AHEAD

AHEAD accelerates the impact of technology on clients by engineering customized data, developer, and infrastructure platforms that improve IT operations. By weaving together cloud infrastructure, intelligent operations, and modern applications, we help...

IT Services
1K-5K
$43M raised
View All Jobs 94

Description

  • Build, maintain, and improve batch and low-latency ingestion pipelines from enterprise systems, APIs, and approved sources.
  • Develop SQL and Python solutions for collecting, validating, transforming, and publishing data.
  • Use Snowflake and dbt to create reliable transformations, reusable models, curated datasets, and data products.
  • Translate business and technical requirements into source mappings, data models, and acceptance criteria.
  • Apply data-quality checks and maintain metadata, documentation, lineage, ownership, and usage guidance.
  • Implement secure access controls, including role-based access, masking, classification tags, and row- or column-level controls.
  • Build automated tests and deployment processes across development, QA, and production environments.
  • Monitor pipeline health, freshness, performance, and failures; troubleshoot issues and support incident resolution.
  • Collaborate with analytics, application, AI, integration, governance, security, and business teams.
  • Use approved AI tools for code development, testing, documentation, troubleshooting, review, and multi-agent delivery workflows.

Requirements

  • Bachelor’s degree in computer science, information systems, engineering, mathematics, or a related field, or equivalent experience.
  • 3+ years of experience in data engineering, software engineering, analytics engineering, or a related technical role.
  • Professional experience writing production-quality SQL and Python.
  • Experience building or supporting cloud-based data pipelines, transformations, and data models.
  • Experience with Snowflake, dbt, or comparable cloud data warehouse and transformation technologies.
  • Understanding of data modeling, ELT/ETL, orchestration, APIs, and source-system integration.
  • Experience with source control, code review, automated testing, and CI/CD.
  • Demonstrated use of AI-assisted software development tools and familiarity with AI SDLC practices.
  • Understanding of data quality, metadata, lineage, access control, privacy, and secure enterprise data handling.
  • Preferred experience with Azure, REST or GraphQL APIs, enterprise systems such as Salesforce or NetSuite, observability tools, semantic models, master data, and AI agents.

Interested in this position?

Apply directly on the company website

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