Mid-Level Data Engineer

About this role

Overview

Thank you for considering IT Concepts dba Kentro, where innovation drives opportunity and collaboration leads to success. Our dynamic community of experts is fully committed to advancing our customers' missions, fostering professional growth, and making a positive impact on our communities.
By joining our supportive community, you will find that Kentro is dedicated to your personal and professional development. Together, we can drive meaningful change, spark innovation, and achieve extraordinary milestones.
Kentro is hiring for aMid-Level Data Engineer to support secure cloud data and applied AI initiatives for government customers. You will build governed data pipelines, automate cloud and operational tasks, solve cross-layer technical problems, and turn evolving requirements into reliable, well-documented solutions. This role is well suited to an engineer who brings strong fundamentals and, above all, the drive to take ownership, learn quickly, communicate clearly, and see important work through to a verified outcome. You will contribute independently within a defined scope while collaborating with technical leaders and growing toward broader platform ownership.
Location:Remote -This position can be performed remotely within the United States and will support Eastern Time working hours.
Compensation Range: The anticipated base salary range for this position is $101,000–$140,000 annually and reflects Kentro’s good-faith expectations at the time of posting. Final compensation is determined based on the role’s requirements, relevant skills, experience, education, certifications, work location, applicable security clearance requirements, market conditions, internal equity, and contract requirements.
This Job Description reflects the primary duties of the role; however, it is not intended to be all‑inclusive. Team members may be asked to take on additional responsibilities in alignment with customer expectations, business needs, and Kentro’s culture of collaboration and adaptability.

Responsibilities

• Develop, test, deploy, and maintain batch and API-based data ingestion, transformation, and publishing workflows.

• Write clear, maintainable Python, PySpark, and SQL for data processing, validation, reconciliation, and automation.

• Build and support Databricks workflows using notebooks, jobs, compute, Delta tables, catalogs, schemas, permissions, and governed data products.

• Implement layered data designs, including landing/raw, Bronze, Silver, and curated or presentation outputs.

• Add data-quality checks, lineage, audit metadata, checksums, retry and recovery behavior, logging, and reproducible tests to pipelines.

• Support Azure data-platform services, cloud storage, secrets, workload identities, role-based access, monitoring, networking, and private connectivity.

• Develop and review Infrastructure as Code, primarily Terraform, using reusable modules and environment-specific configuration.

• Deliver traceable changes through Git branches, pull requests, code reviews, issue tracking, and CI/CD workflows.

• Troubleshoot data, code, access, authentication, permissions, deployment, networking, and runtime issues using logs, tests, queries, and documented evidence.

• Support AI-enabled data workflows, including model endpoints, response validation, evaluation, regression testing, and responsible-use controls.

• Create and maintain architecture diagrams, runbooks, implementation notes, decision records, status updates, and handoff documentation.

• Communicate progress, risks, availability, and blockers promptly; ask for help early enough to protect delivery and close the loop on commitments.

• Participate in stand-ups, design reviews, demonstrations, and stakeholder discussions, translating technical findings for the intended audience.

• Develop working expertise in selected AI and data platforms, including Seekr, and support platform installation, configuration, integration, administration, and ongoing operations.

• Help establish Kentro-hosted platform environments in AWS or other approved cloud environments, coordinating with infrastructure, security, and IT teams.

• Evaluate platform capabilities, limitations, architecture, APIs, extensibility, portability, security boundaries, and appropriate use cases.

• Design and build demonstrations, prototypes, proofs of concept, MVPs, and reusable technical accelerators that support customer solutions and internal capability development.

• Determine which solution components should run within a platform and which should remain external, reusable, or portable.

• Support technical capture and solution-development activities by translating customer needs into demonstrable architectures, implementation approaches, and technical evidence.

• Develop training materials, operational runbooks, integration patterns, evaluation criteria, and adoption playbooks that enable Kentro teams to operate supported platforms independently.

• Assess platform suitability for government workloads, including FedRAMP alignment, government-hosted deployment options, security controls, data protection, and authorization-to-operate considerations.

• Monitor platform roadmaps and emerging capabilities and recommend opportunities for future adoption or integration.

Qualifications

• Three to five years of relevant experience in data engineering, software engineering, cloud engineering, analytics engineering, or a closely related discipline.

• Hands-on programming experience with Python or a comparable language, including reading unfamiliar code and debugging systematically.

• Practical SQL experience with joins, aggregations, transformations, and row-level and aggregate validation.

• Experience developing or supporting data pipelines, schemas, APIs, databases, cloud storage, or distributed data-processing workflows.

• Working knowledge of Git, including commits, branches, pull requests, code review, and ordinary conflict resolution.

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