[Hiring] Mid-Level Data Engineer @Kentro

Role Description

Kentro is hiring for a Mid-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
• Turn evolving requirements into reliable, well-documented solutions

This role is well suited to an engineer who brings strong fundamentals and the drive to:

• Take ownership
• Learn quickly
• Communicate clearly
• 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 pay range for this position is $101,000-140,000K annually.

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.

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 nontechnical 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.

Requirements

• 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 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.

Clearance Requirement

• US Citizen or Lawful Permanent Resident (Green Card)
• Willing and able to obtain and maintain Public Trust Clearance or higher

Benefits

• Competitive benefits package including paid time off, healthcare benefits, supplemental benefits, 401k including an employer match, discount perks, rewards, and more.
• Education reimbursement for certifications, degrees, or professional development.
• Flexibility for professional growth and networking.
• Commitment to incorporating fun into every day with activities such as happy hours, holiday events, fitness & wellness events, and annual celebrations.
• Support for community involvement through charity galas/events.