Data Integration Developer, Journeyman

KAIROS Inc•Pax River, MD

12d•$135,000 - $155,000•Onsite

About The Position

KAIROS, Inc. is seeking an energetic, experienced, and highly motivated Data Integration Developer to join their team. This position supports the development, implementation, and maintenance of data ingestion and integration pipelines that onboard data from authoritative and mission-related sources into enterprise data environments. The role involves collaboration with data stewards, source system owners, engineers, architects, and governance teams to assist with data assessments, data mapping, transformation activities, data quality validation, and compliance with security and governance requirements. Additionally, the position supports pipeline monitoring and troubleshooting, resolves technical issues, and contributes to the development of reusable integration solutions to enhance the efficiency, reliability, and scalability of data onboarding.

Requirements

Hands-on development experience within the data integration environment with knowledge of architecture, data integration, governance model, and development workflows
Experience supporting the design and development of scalable ingestion, transformation, integration, and validation pipelines for large complex data sources.
Experience with schema mapping, metadata, lineage data quality, authoritative source integration, access controls, and implementation of governance requirements within technical solutions.
Ability to work directly with data stewards, source system owners, architects, and platform teams to analyze source data, resolve ingestion and access issues, troubleshoot pipelines, and move data from initial acquisition through production.
Strong customer relations, analytics, and documentation skills
Self-starter, highly motivated, strong work ethic with a commitment to quality
Microsoft office suite proficiency, i.e., Word, Excel, PowerPoint
Ability to work within a challenging, fast-paced, team-oriented environment
Ability to work independently
Ability to multi-task and meet competing, deliverable deadlines
Detail oriented
Excellent interpersonal and customer service skills
Excellent verbal and written communication skills to provide clear status and/or communicate issues
Ability to adapt to evolving technology
Bachelor’s degree in mathematics, data engineering, data analytics, data science, artificial intelligence, operations research, software engineering, and/or other technical/engineering/mathematical degree fields
Experienced platform engineer
Knowledge of cybersecurity and data management
3-5 years experience supporting data engineering, data automation, and application development efforts
Experience in developing scalable, secure, and reliable data and application products
This position is subject to a government security investigation and must meet eligibility requirements for access to classified information.
In order to complete the requirements for government security clearance investigation you must be a U.S. Citizen and be able to complete the full background investigation.
This position requires an Active Secret Security Clearance.

Responsibilities

Collaborate with Jupiter’s data connections team to design, develop, and implement scalable data ingestion and integration solutions to acquire, transform, validate, and operationalize data from multiple authoritative and mission data sources.
Collaborate directly with data stewards, source system owners, data engineers, architects, and governance teams to understand source structures, data quality considerations, access constraints, and technical requirements for successful onboarding.
Perform technical assessments of new data sources, including schema analysis, data profiling, mapping, transformation requirements, lineage, and data quality validation, to support reliable integration into the enterprise data environment.
Support completion and technical validation of data governance artifacts and onboarding documentation, ensuring appropriate metadata, lineage, access controls, security requirements, and data handling rules are incorporated into implemented solutions.
Monitor and troubleshoot data pipelines and onboarding activities, identify technical blockers and dependencies, communicate status to program leadership, and implement reusable patterns and automation to improve the speed, reliability, and scalability of future data acquisitions.