Hybrid Data Engineer: Scalable Pipelines & Lakehouse

Mondo; Baltimore (MD); Hybrid; USD 100,000 - 150,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k)

PTO

Parental Leave

Additional Company Benefits

Job summary

Mondo is seeking an experienced Data Engineer to join our team in Baltimore, offering a hybrid schedule with 50-75% onsite work and regular travel to client sites. You will design, build, and maintain secure data platforms, pipelines, and CI/CD processes in a federal-adjacent, enterprise environment.

The ideal candidate has 5+ years of data engineering experience, strong Python and SQL skills, and hands-on experience with Spark/PySpark, Kafka, Databricks, and dbt across cloud platforms

Qualifications

• 5+ years of professional data engineering experience.
• M.Sc. required in Data Science, Statistics, Math, CS, or related field; PhD preferred.
• Strong hands-on Python and SQL development skills.
• Experience with Spark/PySpark and distributed data processing.
• Experience with Kafka, event streaming, or comparable streaming technologies.
• Experience designing and building modern data architectures such as lakehouses, data warehouses, data lakes, or distributed data platforms.
• Experience with Databricks, dbt, or comparable modern data technologies.
• Experience with AWS, Azure, and/or GCP.
• Ability to work directly with clients in high-visibility environments.
• Ability to accommodate approximately 50-75% onsite work in Baltimore through rotation.

Responsibilities

• Design, build, and maintain scalable, production-grade data platforms and pipelines.
• Build and enhance CI/CD pipelines supporting reliable data engineering deployments.
• Develop ingestion and transformation pipelines across legacy systems, APIs, IoT/telemetry, relational databases, and other data sources.
• Design cloud-native architectures supporting batch, streaming, and near-real-time workloads.
• Build distributed and event-driven data processing solutions using Spark, Kafka, or equivalent technologies.
• Develop modern lakehouse and data warehouse architectures using Databricks and dbt.
• Write clean, production-quality Python and SQL code.
• Implement automated testing, monitoring, observability, data-quality validation, lineage, and reliability standards.
• Build secure and governed data environments with RBAC, encryption, auditability, and access controls.
• Support analytics and future AI/ML use cases with robust data infrastructure.
• Optimize data platforms for performance, scalability, reliability, and cost.
• Collaborate with engineers, data scientists, and stakeholders to translate requirements into scalable solutions.
• Troubleshoot complex production issues and drive resolution.
• Contribute to architectural decisions and long-term evolution of the data platform.

Skills

Python

SQL

Spark/PySpark

Kafka

Databricks

dbt

CI/CD

Cloud platforms (AWS/Azure/GCP)

Data governance/security

Client-facing collaboration

On-site travel readiness

Education

M.Sc. in Data Science/Statistics/Math/CS

PhD preferred

Tools

AWS

Azure

GCP

Databricks

dbt

Job description

Mondo is seeking an experienced Data Engineer to join our team in Baltimore, offering a hybrid schedule with 50-75% onsite work and regular travel to client sites. You will design, build, and maintain secure data platforms, pipelines, and CI/CD processes in a federal-adjacent, enterprise environment.

The ideal candidate has 5+ years of data engineering experience, strong Python and SQL skills, and hands-on experience with Spark/PySpark, Kafka, Databricks, and dbt across cloud platforms