Note: The job is a remote job and is open to candidates in USA. Kentro is hiring a Mid-Level Data Engineer to support secure cloud data and applied AI initiatives for government customers. The role builds and maintains governed data pipelines, supports cloud and AI platforms, and develops prototypes, documentation, and technical solutions in collaboration with engineering and customer teams.

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

Skills

• 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
• Experience testing work, retaining evidence, and writing documentation or runbooks that another engineer can follow
• Demonstrated ownership, learning agility, persistence, responsiveness, and follow-through when solving unfamiliar or ambiguous problems
• Ability to communicate technical status, risks, assumptions, and blockers clearly to both technical and nontechnical stakeholders
• Commitment to security, least privilege, responsible data handling, and compliance with customer requirements
• Experience integrating cloud-hosted platforms through APIs, SDKs, identity services, networking, and data interfaces
• Experience deploying or supporting solutions in AWS, Azure, or another major cloud platform
• Ability to evaluate a new technology platform, document its strengths and limitations, and recommend appropriate use cases
• Experience developing demonstrations, prototypes, proofs of concept, or MVPs from evolving requirements
• Ability to communicate technical architectures and platform capabilities to engineering, leadership, capture, and customer audiences
• US Citizen or Lawful Permanent Resident (Green Card)
• Must be willing and able to obtain and maintain the level of Public Trust suitability required by the customer
• Experience with Azure, Azure Government, AWS, or another major cloud platform
• Experience with Databricks, Apache Spark, PySpark, Delta Lake, Lakeflow, or a comparable data-processing platform
• Experience with Terraform or another Infrastructure-as-Code tool
• Familiarity with Azure Data Lake Storage, Data Factory, Key Vault, Entra ID, managed identities, RBAC, private endpoints, DNS, or virtual networks
• Knowledge of data governance, catalogs, lineage, stewardship, audit trails, observability, and reproducible processing
• Experience with Seekr or comparable enterprise AI, machine-learning, model-serving, or data platforms
• Experience supporting technical capture, solution architecture, product evaluation, or customer demonstrations
• Familiarity with AWS platform deployment, containerization, infrastructure automation, and integration architecture
• Familiarity with FedRAMP, NIST controls, government cloud environments, continuous ATO/cATO concepts, or government authorization processes
• Experience creating reusable accelerators, evaluation frameworks, or technical enablement materials
• Experience with REST APIs, JSON/JSONL, CSV, Parquet, large-file processing, third-party ingestion, CI/CD, containers, or structured logging
• Exposure to AI/LLM-enabled applications, model-serving endpoints, evaluation, or automated regression testing
• Experience in a government, healthcare, or other regulated or compliance-sensitive environment
• Bachelor's degree in computer science, data science, information systems, engineering, or a related field, or equivalent relevant experience

Benefits

• Paid time off
• Healthcare benefits
• Supplemental benefits
• 401k including an employer match
• Discount perks
• Rewards
• Every employee is eligible for education reimbursement for certifications, degrees, or professional development. Reimbursement amounts may fluctuate due to IRS limitations.
• Flexibility to take a course, complete a certification, or pursue other professional growth and networking.
• Funds for activities, including virtual and in-person happy hours, holiday events, fitness and wellness events, and annual celebrations.
• Charity galas/events

Company Overview