Remote Analytics Data Engineer: Databricks, Lakehouse & AI

Corner Alliance; United States; Hybrid; USD 100,000 - 120,000; Full time

Benefits offered by this job

401k matching

Paid time off

Health, dental, vision

Parental leave

Flexible work arrangement

Job summary

Corner Alliance is a dynamic consulting firm seeking an Analytics Data Engineer with 6+ years of experience to support a federal government client. This role focuses on building scalable data pipelines, data lakes and a Lakehouse, leveraging Databricks and cloud tooling to enable data-driven decision-making.

You will collaborate with stakeholders to automate data processing, implement CI/CD, and refine dashboards for program financials, risk, and engagement.

Qualifications

• Bachelor’s degree or higher in a related field such as computer science, engineering, or information systems management.
• 6+ years of experience in a data engineer role or related role
• Experience with scalable ETL data pipelines and cloud platforms

Responsibilities

• Design, develop, test, and optimize data pipelines.
• Collaborate to implement a data development life cycle with CI/CD.
• Build an authoritative Lakehouse for post-award reporting and monitoring.
• Refresh dashboards such as program financials and risk management.
• Apply advanced analytics to extract insights from unstructured data to support decision-making.

Skills

ETL pipelines

Python

PySpark

SQL

Automation scripts

Data warehouses

Data lakes

Databricks

CI/CD

Cloud platforms

Education

Bachelor's degree or higher in related field

Tools

Databricks

CI/CD tooling

Job description

Corner Alliance is a dynamic consulting firm seeking an Analytics Data Engineer with 6+ years of experience to support a federal government client. This role focuses on building scalable data pipelines, data lakes and a Lakehouse, leveraging Databricks and cloud tooling to enable data-driven decision-making.

You will collaborate with stakeholders to automate data processing, implement CI/CD, and refine dashboards for program financials, risk, and engagement.