Data Engineer, Python

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, test, and sustain data pipelines and transformation workflows utilizing SQL, Python, Databricks, and cloud technologies.

• Develop and enhance PostgreSQL database objects, queries, data models, and data-access patterns.

• Construct and uphold DataConnect reporting integrations via AWS QuickSight and Databricks.

• Create API services and reusable components for secure data access and system integration.

• Extract, transform, and load data from various sources.

• Establish and maintain data-quality checks, validation jobs, monitoring systems, and operational alerts.

• Diagnose data issues and enhance pipeline reliability, performance, availability, and refresh timing.

• Write unit and integration tests and engage in code reviews.

• Convert technical specifications and business requirements into code, data designs, and documentation.

• Collaborate with DevOps engineers on CI/CD, infrastructure as code, deployment, and environmental support.

• Implement security and privacy controls for data at rest and in transit.

• Participate in Agile planning, refinement, estimation, and continuous improvement activities.

• Execute other duties as assigned.

⛳️ Requirements

• Bachelor's degree.

• Over 3 years of practical software development or data engineering experience.

• More than 2 years of experience in developing data pipelines or data-processing solutions using SQL and Python or a similar programming language.

• Practical experience with PostgreSQL and a solid understanding of relational database concepts and SQL.

• Experience with cloud-based data platforms and version-controlled development workflows.

• Skill in reading technical specifications and converting them into functional code and documentation.

• Capability to obtain and maintain a Public Trust clearance.

• Must reside in the United States, be authorized to work in the United States, and have lived in the United States for three full years out of the last five years.

• Preferred experience with Databricks, AWS QuickSight, Spark, Airflow, AWS data services, REST APIs, TypeScript, CI/CD, GitHub Actions, Terraform, infrastructure-as-code, data governance, metadata, data lineage, secure data-sharing practices, Agile teams, and test-driven development.

🏝️ Benefits

• Equal opportunity employment.

• Reasonable accommodations for disabilities, veteran status, and sincerely held religious beliefs.

• Benefit offerings referenced under the Transparency in Coverage Act.