SENIOR DATA ENGINEER

We are seeking a Senior Data Engineer to design, develop, optimize, and maintain enterprise-scale data pipelines and data integration solutions. This role requires strong hands-on experience with Java, AWS, ETL, Apache Spark, Scala, SQL/PLSQL, PostgreSQL, Apache NiFi, Informatica, and Linux.

The ideal candidate has deep experience building production data pipelines, integrating complex data sources, troubleshooting data-processing issues, and optimizing pipelines for performance, reliability, and scalability., Design, develop, deploy, and maintain high-volume data pipelines and ETL/ELT workflows supporting mission-critical applications and analytics. Develop data engineering solutions using Java, including backend processing, data transformation, integration, and automation components. Build and maintain cloud-based data processing solutions within AWS environments. Develop distributed data-processing workloads using Apache Spark and Scala. Design, develop, and optimize complex SQL and PL/SQL queries, procedures, transformations, and data-processing routines. Work extensively with PostgreSQL and relational database platforms to support data ingestion, transformation, storage, and retrieval. Develop and maintain automated data flows and integrations using Apache NiFi. Build and support enterprise ETL and data integration workflows utilizing Informatica. Design pipelines that ingest and transform data from multiple structured and semi-structured data sources. Perform hands-on pipeline optimization, performance tuning, troubleshooting, and root-cause analysis across large-scale data environments. Identify and resolve data-processing bottlenecks involving queries, transformations, pipeline architecture, compute resources, and database performance. Develop reliable processes for data validation, error handling, monitoring, logging, and recovery. Work in Linux-based environments, including scripting, troubleshooting, deployment, and application/data-processing support. Improve pipeline scalability, resiliency, efficiency, and maintainability as data volume and processing requirements increase. Collaborate with software engineers, database engineers, cloud engineers, analysts, and other technical teams to integrate data across enterprise systems. Support production data environments and troubleshoot complex issues across applications, databases, ETL platforms, pipelines, and cloud infrastructure.

Senior-level professional experience in Data Engineering, ETL Development, Data Integration, or closely related engineering roles. Strong hands-on development experience with Java. Experience developing and supporting data solutions within AWS. Strong experience designing, developing, and maintaining ETL/ELT pipelines. Hands-on experience with Apache Spark and Scala for distributed data processing. Advanced experience with SQL and PL/SQL, including complex querying and performance optimization. Experience working with PostgreSQL or comparable enterprise relational database technologies. Hands-on experience developing data flows using Apache NiFi.

Experience developing or supporting ETL integrations using Informatica.

Strong knowledge of Linux environments, command-line utilities, scripting, and troubleshooting.

Demonstrated experience with data pipeline development, optimization, tuning, monitoring, and production support.

Experience processing and integrating large, complex datasets from multiple source systems.

Strong understanding of data transformation, data quality, schema design, relational databases, and distributed data-processing concepts. Core Technical Stack

Monday-Friday within standard core business hours Secure facility requiring strict adherence to security protocols Fast-paced, mission-focused cloud and platform engineering environment Direct collaboration with DevOps, software, and infrastructure teams

Why Join Kforce? As a W2 consultant with Kforce, you’ll have access to a strong benefits package and ongoing support:

Aetna Medical, Dental, and Vision coverage 401(k) retirement plan with options to invest Competitive weekly pay Paid time off (where applicable) Dedicated recruiter and care team support Opportunities to work on high-visibility, mission-driven programs

Impact This role provides the opportunity to build and maintain secure, automated cloud infrastructure and deployment pipelines that directly support mission-critical federal systems and national security operations.

he pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce’s sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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