Offer summary

Qualifications:

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field., 2–4 years of hands-on experience in a data engineering or analytics engineering role., Strong proficiency in SQL and Python, with experience in Databricks and Delta Lake., Familiarity with AI/ML workflows and building reports in Power BI..

Key responsabilities:

Design, build, and optimize data pipelines in Databricks and Azure Data Factory.

Develop and maintain datasets in Delta Lake and OneLake for analytics and reporting.

Collaborate with data scientists to support AI/ML model development and deployment.

Monitor data quality and pipeline performance, contributing to metadata management and data documentation.

Job description

This is a remote position.

The Data Engineer will be responsible for building, optimizing, and maintaining robust data pipelines and infrastructure to support our client's enterprise data strategy. This role plays a key part in enabling data-driven decision-making across the organization by delivering clean, accessible, and scalable datasets. The ideal candidate will bring hands-on experience with the Azure tech stack, strong Power BI skills, and familiarity with AI/ML workflows to support analytics, reporting, and intelligent automation initiatives.

The Data Engineer is a full-time, remote, exempt position and reports to the Sr. Director, Data and Analytics.

Base Salary: $140,000 - $160,000.

Specific Responsibilities:

·       Design, build, and optimize data pipelines in Databricks and Azure Data Factory.

·       Develop and maintain datasets in Delta Lake and OneLake to support analytics and reporting.

·       Support the ingestion, transformation, and delivery of data into Azure SQL Server and Snowflake.

·       Build and maintain interactive dashboards and data visualizations using Power BI.

·       Collaborate with data scientists and analysts to support AI/ML model development and deployment.

·       Write efficient, well-documented SQL and Python code to support data workflows.

·       Monitor and troubleshoot data quality and pipeline performance issues.

·       Contribute to metadata management, data cataloging, and data documentation.

·       Participate in Agile ceremonies, sprint planning, and team knowledge sharing sessions.

·       Assist in implementing data governance and security best practices.

Supervisory Responsibilities:

This position does not have direct reports. However, the Data Engineer may collaborate with contractors or external vendors on specific initiatives and is encouraged to provide technical guidance to interns or newer team members when appropriate.

Requirements

·         Strong proficiency in SQL and Python.

·         Hands-on experience with Databricks and Delta Lake.

·         Familiarity with Microsoft Fabric and OneLake architecture.

·         Proficient in building reports and dashboards in Power BI.

·         Experience with Azure Data Factory for data ingestion and transformation.

·         Understanding of Azure SQL Server and Snowflake for data storage and querying.

·         Exposure to AI/ML workflows, including model training, data preprocessing, or feature engineering.

·         Excellent analytical thinking and problem-solving skills.

·         Strong communication and collaboration skills in a remote-first environment.

·         Familiarity with Git or other version control systems.

Experience:

·         2–4 years of hands-on experience in a data engineering or analytics engineering role.

·         Demonstrated experience delivering Power BI reports and working with modern cloud data tools.

·         Experience supporting AI/ML data workflows is highly desirable.

·         Prior exposure to enterprise or healthcare data environments is a plus.

Education:

·         Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.

·         Azure Data Engineer Associate or related certification (preferred).

·         Coursework or certification in AI/ML (preferred but not required).

Benefits

Our client offers competitive compensation along with an extensive benefits package for all full-time employees, including medical, dental and vision coverage, tuition assistance and a 401k. They offer full-time remote work to all staff from any location and maintain a physical office in downtown Washington, DC.

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