Data Engineer (Python) - Remote USA

ICF is hiring a Data Engineer to develop and support reliable data pipelines, database solutions, and reporting integrations across PostgreSQL, SQL, Databricks, and AWS QuickSight. The role translates requirements into maintainable code and collaborates with engineering, data science, analytics, and DevOps teams.

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Responsibilities

Design, develop, test, and maintain data pipelines and transformation workflows using SQL, Python, Databricks, and cloud technologies

Develop and optimize PostgreSQL database objects, queries, data models, and data-access patterns

Build and maintain integrations that support DataConnect reporting through AWS QuickSight and Databricks

Develop API services and reusable components that facilitate secure data access and system integration

Support extraction, transformation, and loading of data from multiple sources while meeting functional and non-functional requirements

Create and maintain data-quality checks, validation jobs, monitoring, and operational alerts

Troubleshoot data issues and improve pipeline reliability, performance, availability, and refresh timeliness

Write unit and integration tests for data-processing code and participate in code reviews

Translate technical specifications and business requirements into code, data designs, and implementation documentation

Collaborate with DevOps engineers on CI/CD, infrastructure as code, deployment, and environment support

Apply security and privacy controls for data at rest and in transit

Contribute to Agile planning, refinement, estimation, and continuous improvement activities

Other duties as assigned

Preferred

Experience developing data workflows on the Databricks platform

Experience creating datasets, dashboards, or reporting integrations with AWS QuickSight

Experience with Spark, Airflow, AWS data services, or similar pipeline and orchestration technologies

Experience building or supporting REST APIs

Working knowledge of TypeScript for services, integrations, automation, or data-access applications

Familiarity with CI/CD pipelines, GitHub Actions, Terraform, or other infrastructure-as-code tools

Experience with data governance, metadata, data lineage, and secure data-sharing practices

Experience working in Agile teams and using test-driven development practices

Benefits

Remote work in the United States

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Centennial, Colorado, USA

https://www.or-quest.nl/

Growth Stage

Leadership Team

Daniel Hinck

Client Success Partner

Kalyn Thorne

Client Success Partner - Enterprise

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Qualifications

Bachelor's degree

3+ years of hands-on software development or data engineering experience

Candidate must be able to obtain and maintain a Public Trust clearance

Candidate 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

2+ years of experience developing data pipelines or data-processing solutions using SQL and Python or a comparable programming language

Hands-on experience with PostgreSQL and strong knowledge of relational database concepts and SQL

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

Ability to read technical specifications and translate them into working code and documentation

Experience developing data workflows on the Databricks platform

Experience creating datasets, dashboards, or reporting integrations with AWS QuickSight

Experience with Spark, Airflow, AWS data services, or similar pipeline and orchestration technologies

Experience building or supporting REST APIs

Working knowledge of TypeScript for services, integrations, automation, or data-access applications

Familiarity with CI/CD pipelines, GitHub Actions, Terraform, or other infrastructure-as-code tools

Experience with data governance, metadata, data lineage, and secure data-sharing practices

Experience working in Agile teams and using test-driven development practices

3+ years of hands-on software development or data engineering experience.

Candidate 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.

2+ years of experience developing data pipelines or data-processing solutions using SQL and Python or a comparable programming language.

Required skills

SQL, Python, PostgreSQL, Relational Database Concepts, Data Pipelines, Databricks, AWS QuickSight, Apache Spark, Airflow, AWS Data Services, REST APIs, TypeScript, GitHub Actions, Terraform, CI/CD, Data Governance, Metadata Management, Data Lineage, Agile, Test-Driven Development, Public Trust Clearance

Preferred skills

Experience building or supporting REST APIs

Experience

3+ years