Remote Data Engineer: Cloud Data Platforms & AI Pipelines

Kentro; United States; Remote; USD 101,000 - 140,000; Full time

Benefits offered by this job

Education reimbursement

Flexible schedule

Team events and wellness programs

Job summary

Kentro is hiring a Mid-Level Data Engineer to support secure cloud data and applied AI initiatives for government customers. Remote within the United States with Eastern Time hours. You will build governed data pipelines, automate cloud and operational tasks, and deliver reliable, well‑documented solutions.

The role emphasizes strong fundamentals, ownership, and the ability to collaborate with technical leaders, growing toward broader platform ownership within a dynamic, mission‑driven team.

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.
• 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 non‑technical stakeholders.
• Commitment to security, least privilege, responsible data handling, and compliance with customer requirements.
• Ability to work effectively in a remote environment and collaborate during Eastern Time working hours.

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.

Skills

Python

PySpark

SQL

Data pipelines

Git

Debugging

Education

Bachelor’s degree or related field

Tools

Databricks

Terraform

Azure

Data Lake Storage

Job description

Kentro is hiring a Mid-Level Data Engineer to support secure cloud data and applied AI initiatives for government customers. Remote within the United States with Eastern Time hours. You will build governed data pipelines, automate cloud and operational tasks, and deliver reliable, well‑documented solutions.

The role emphasizes strong fundamentals, ownership, and the ability to collaborate with technical leaders, growing toward broader platform ownership within a dynamic, mission‑driven team.