Data Engineer: Production Pipelines & AI Analytics (Remote)

CoreView; United States; Hybrid; USD 110,000 - 160,000; Full time

Job summary

CoreView is seeking a Data Analytics Engineer to own usage/adoption pipelines, quantifying product telemetry and adoption trends. You will work primarily in Databricks using SQL and Python, collaborating across Product and Post-Sales to scope new signals and instrumentation.

The role blends remote work with a hybrid presence in Washington DC, supporting data governance and automation initiatives. You will build production-grade data pipelines, extend automated data quality checks, and contribute

Qualifications

• 3–5 years of professional data engineering experience in a production setting.
• Experience with Databricks Unity Catalog, Spark Declarative Pipelines, and data-metadata management.
• Strong SQL and Python for building, testing, and supporting production pipelines.
• Experience ingesting data from CRM, product usage telemetry, and other business systems.
• Ability to work autonomously and drive data initiatives with minimal guidance.

Responsibilities

• Own the usage and adoption pipelines and their alerting.
• Consolidate data from multiple sources (CRM, tickets, logs) for a unified data platform.
• Build Bronze-to-Gold pipelines in Databricks and maintain metric views.
• Ensure data quality checks across gold-layer tables and validate against Power BI.
• Collaborate with Product and Post-Sales to scope new signals and instrumentation.
• Establish documented pipelines, access models, and intake processes for cross-department requests.
• Act as the point of contact for CoreView's Databricks estate.
• Introduce AI-assisted tooling and automated monitoring into workflows.

Skills

Data engineering

SQL

Python

Databricks

CI/CD

Power BI

Data ingestion

Tools

Unity Catalog

Spark Declarative Pipelines

dbt

Job description

CoreView is seeking a Data Analytics Engineer to own usage/adoption pipelines, quantifying product telemetry and adoption trends. You will work primarily in Databricks using SQL and Python, collaborating across Product and Post-Sales to scope new signals and instrumentation.

The role blends remote work with a hybrid presence in Washington DC, supporting data governance and automation initiatives. You will build production-grade data pipelines, extend automated data quality checks, and contribute