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Mid LevelFull-timePythonMachine LearningData ScienceAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
The Data Engineer will help build and maintain reliable, scalable data pipelines that support analytics, forecasting, and AI-driven products. This is a hands-on, execution-focused contract role centered on data quality, pipeline reliability, and collaboration across analytics, data science, and product teams.
Key Responsibilities
- →Build and maintain scalable, fault-tolerant ELT pipelines using Python
- →Orchestrate and monitor data workflows using Dagster
- →Troubleshoot pipeline failures, performance issues, and data inconsistencies
- →Monitor pipeline health using observability tools and metrics
- →Develop, optimize, and document dbt models following analytics engineering best practices
- →Model clean, analytics-ready datasets for BI, forecasting, and machine learning feature consumption
- →Implement and maintain data quality checks and testing strategies
- →Collaborate closely with data scientists to support forecasting and AI-driven use cases
Requirements
- ✓3+ years of professional experience in data engineering or analytics engineering
- ✓Hands-on experience working with dbt (Core or Cloud)
- ✓Experience using Dagster or similar orchestration tools
- ✓Experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- ✓Strong proficiency in Python, including libraries such as pandas, SQLAlchemy, or psycopg2
- ✓Advanced SQL skills, including CTEs, window functions, and query optimization
- ✓Familiarity with modern ELT tools such as Airbyte, Fivetran, Meltano, or dltHub
- ✓Strong troubleshooting skills for data pipelines, performance, and data quality issues
- ✓Ability to work independently and deliver results in a contract environment
- ✓Ability to follow established standards for reliability, testing, and deployment
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