Data Integration Engineer - Clearance Required

Cydecor is a premier Federal Government solutions provider, delivering differentiated innovations in mission systems and business platforms. We leverage leading-edge secure systems and software development, backed by industry-leading subject matter expertise, and business intelligence to enable decision-support and remain ahead of ever-evolving national security challenges. Our success rests squarely on three bedrock principles: People, our center of gravity; Mission, what inspires us; and an unyielding commitment to Excellence, what separates us.

Job Description:

Cydecor is seeking a Data Integration Engineer to design, develop, and maintain secure, scalable data pipelines that support enterprise analytics and mission systems within a Federal environment. This role focuses on cloud-based data engineering, automation, and data quality to ensure reliable ingestion, transformation, and integration of data across platforms.

Responsibilities include:

• Design, develop, and maintain robust, scalable, and secure data pipelines using ETL/ELT methodologies
• Build and operate cloud-based data pipelines in AWS or Azure environments
• Perform data transformations, validation, and quality checks to ensure data accuracy and reliability
• Automate data workflows and infrastructure using Infrastructure as Code (IaC) principles
• Develop and maintain data integration processes supporting batch and near-real-time data flows
• Implement and optimize distributed data processing solutions
• Ensure data pipelines adhere to security, performance, and compliance requirements
• Troubleshoot and resolve data pipeline and integration issues
• Collaborate with architects, analysts, and stakeholders to support data integration requirements
• Document data pipelines, workflows, and technical processes in accordance with Federal standards

Here's what you need:

• Four (4) years of hands-on experience in data engineering
• Four (4) years of experience building and maintaining cloud-based data pipelines in AWS or Azure
• Experience developing, implementing, and maintaining secure and scalable ETL/ELT data pipelines
• Experience performing data transformations and data quality checks
• Experience automating data flows using Infrastructure as Code (IaC) principles
• Strong proficiency in Python and SQL
• Experience working with a distributed data processing framework such as Apache Spark

Bonus Points If You Have:

• Bachelor's degree from an accredited college or university in Information Technology, Computer Science, or a related field
• Experience supporting Federal or DoW data environments
• Familiarity with cloud-native data integration and orchestration tools

Security Clearance:

• Active Secret Clearance

Education:

• Bachelor's degree from an accredited college or university in Information Technology, Computer Science, or a related field; five (5) years of experience providing IT services to DoW may be substituted in lieu of a Bachelor's Degree.

Work Schedule:

• Hybrid

Compensation and Benefits:
There are numerous factors that can impact a final salary/hourly rate including, but not limited to, relevant work experience, skills and competencies that align to the role, work location, education/certifications, and a contract's Labor Categories.

Cydecor offers a comprehensive compensation package including Health and Dental Insurance, Vision and Life Insurance, Short-Term & Long-Term Disability, 401(K) + company match, Paid Time Off (PTO), Paid Company Holidays, Tuition and Professional Development Assistance and more.

What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Cydecor has the responsibility to create and sustain an inclusive environment.

Equal Employment Opportunity Statement
Cydecor is an Equal Employment Opportunity/Affirmative Action Employer (EEO/AA). All employment and hiring decisions are based on qualifications, merit, and business needs without regard to race, religion, color, sexual orientation, nationality, gender, ethnic origin, disability, age, sex, gender identity & expression, veteran status, marital status, or any other characteristic protected by applicable law.

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