Systems Integration Specialist

Jobtailor; Washington (District of Columbia); On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor is seeking a Senior Data Integration Engineer to connect, orchestrate, and optimize data pipelines and system interfaces across large enterprise environments. The role emphasizes secure data flows aligned with government standards and cloud-native architectures.

You will work with Databricks notebooks, Airflow, and Azure/AWS data services to enable scalable data ingestion, transformation, and governance. A Secret Federal security clearance and a Bachelor's degree are required.

Qualifications

• Bachelor's degree required.
• Experience with system integration, data pipelines, or application interoperability.
• Experience with Python, SQL, or similar languages used for system and data interactions.
• Experience with ETL/ELT concepts and REST-based service communication.
• Experience with Databricks notebooks, workflows, or Delta Lake.
• Exposure to cloud environments such as AWS or Azure.
• Familiarity with APIs, data interoperability concepts, authentication patterns, and cross-system coordination.
• Understanding of cloud-based data platforms and modern data engineering patterns.

Responsibilities

• Connect, integrate, and orchestrate data, applications, and platform components across enterprise environments.
• Support development, enhancement, and maintenance of large-scale data pipelines and system interfaces.
• Configure, troubleshoot, and optimize integrations within modern cloud-based architectures.
• Implement secure data flows and service connections aligned with government standards and enterprise governance.
• Validate system compatibility, identify integration gaps, and support remediation efforts.

Skills

System Integration

Data Pipeline Development

Application Interoperability

SQL Programming

REST-Based Service Communication

Data Transformation

Git Version Control

Data Governance

Cloud Data Platforms

Lakehouse Architecture

Education

Bachelor's Degree

Tools

Databricks Notebooks

Airflow

Azure Data Factory

AWS

Azure

Job description

• Connect, integrate, and orchestrate data, applications, and platform components across enterprise environments


• Support development, enhancement, and maintenance of large-scale data pipelines and system interfaces


• Configure, troubleshoot, and optimize integrations within modern cloud-based architectures


• Implement secure data flows and service connections aligned with government standards and enterprise governance


• Validate system compatibility, identify integration gaps, and support remediation efforts


• Document integration workflows, system mappings, and technical implementation artifacts


• Support real-time and batch data ingestion and transformation within Databricks-based environments

Requirements

• Active and maintained Secret Federal or DoD security clearance required


• Bachelor's degree


• Experience or coursework involving system integration, data pipelines, or application interoperability


• Experience with Python, SQL, or similar languages used for system and data interactions


• Experience with ETL/ELT concepts and REST-based service communication


• Experience with Databricks or hands-on training using Databricks notebooks, workflows, or Delta Lake


• Exposure to cloud environments such as AWS or Azure


• Familiarity with APIs, data interoperability concepts, authentication patterns, and cross-system coordination


• Understanding of cloud-based data platforms and modern data engineering patterns


• Familiarity with workflow orchestration tools such as Airflow or Azure Data Factory


• Experience with version control systems such as Git


• Exposure to modern data architecture concepts, including Lakehouse patterns


• Experience with structured and unstructured data sources


• Understanding of data governance, security controls, and auditability needs in government contexts


• Up to 10% travel required

Core Competencies

Demonstrates expertise in system integration, data pipeline development, and cloud-based architectures, with a strong focus on implementing secure data flows and optimizing integrations. Proficient in utilizing Databricks for data ingestion and transformation while adhering to government standards and data governance requirements.

Highest-signal resume keywords

• Active Secret Federal Security Clearance


• Python Programming


• Databricks Experience


• ETL/ELT Concepts


• Cloud Environment Exposure

Hard Skills

• System Integration


• Data Pipeline Development


• Application Interoperability


• SQL Programming


• REST-Based Service Communication


• Data Transformation


• Version Control with Git


• Data Governance


• Cloud-Based Data Platforms


• Lakehouse Architecture

Certifications & Qualifications

• Bachelor's Degree

Industry Keywords

• Data Interoperability


• Cloud Architecture


• Security Controls


• Auditability


• Integration Workflows

Tools & Technologies

• Databricks Notebooks


• Airflow


• Azure Data Factory


• AWS


• Azure