Senior Data Engineer (Data Architecture)
New
J
JobgetherData Engineering
Available remotely in most U.S. states, subject to location exclusionsFull-TimeSenior
Salary105,000 - 135,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLGitCI/CDData modelingBigQuerydbt
Requirements
- Bachelor’s degree in Computer Science, IT, Engineering, or equivalent practical experience.
- 5+ years of experience in data engineering, analytics engineering, or data architecture.
- Advanced SQL and BigQuery expertise, with strong knowledge of dimensional modeling and analytical databases.
- Intermediate to advanced Python programming skills.
- Strong hands-on experience with dbt (data modeling, testing, documentation).
- Familiarity with orchestration technologies such as Airflow, Dagster, AWS Glue, or Azure Data Factory.
- Experience with modern software engineering practices including Git, code reviews, CI/CD, and automated testing.
- Ability to independently design and deliver production-grade data pipelines.
- Hands-on experience with AI-assisted software engineering tools (e.g., Cursor, GitHub Copilot, Claude Code).
- Strong problem-solving skills and ability to evaluate technical tradeoffs.
- Solid understanding of marketing objectives and KPIs.
Responsibilities
- Design, build, deploy, and maintain scalable data pipelines and shared data products using BigQuery, dbt, Python, and orchestration technologies.
- Translate business and client requirements into reliable, scalable, and maintainable technical solutions.
- Identify recurring patterns across client implementations and transform them into reusable models, frameworks, and shared capabilities.
- Develop configuration-driven solutions that balance standardization with flexibility.
- Strengthen data reliability through automated testing, validation, monitoring, and observability.
- Integrate and process data from APIs and third-party platforms within the MarTech and AdTech ecosystem.
- Provide technical guidance and mentorship to other Data Engineers.
- Use AI-assisted development tools to accelerate coding, testing, and documentation.
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