Principal Software Engineer - Insights & Intelligence

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Software Engineer - Insights & Intelligence based in United States.

This role sits at the intersection of software engineering, data engineering, DevOps, and enterprise analytics.
You will help build and operate secure, reliable data infrastructure that supports critical business decisions.
The position focuses on making production data pipelines highly available, observable, maintainable, and resilient.
You will develop scalable data integrations and automated deployment workflows across modern cloud and data platforms.
Working alongside senior engineers and architects, you will turn technical designs into production-grade data services.
You will also help strengthen engineering standards around testing, monitoring, security, and operational excellence.
This is an opportunity to make a broad impact on an organization’s data, analytics, and AI transformation.

Accountabilities

• Design, implement, and maintain monitoring, alerting, and logging capabilities for production data pipelines, with a focus on availability, reliability, and operational visibility.

• Build and maintain CI/CD pipelines for data applications and infrastructure using Git, GitHub Actions, GitLab CI/CD, Databricks Asset Bundles, or comparable technologies.

• Enable rapid, repeatable, controlled deployments across development, testing, and production environments.

• Proactively identify, diagnose, and resolve workflow failures, performance bottlenecks, data-quality issues, infrastructure incidents, and other production challenges.

• Apply software engineering and DevOps practices to improve platform resilience, maintainability, scalability, and supportability.

• Design, develop, and optimize scalable data integration solutions that ingest, transform, and deliver information from diverse enterprise source systems.

• Establish high standards for code quality, architecture, documentation, automated testing, and production support across data pipelines and integration components.

• Partner with senior data engineers, platform engineers, and architects to translate technical designs into stable, secure, and well-engineered data services.

• Contribute to observability, incident response, performance optimization, and reliability practices for enterprise-scale data platforms.

• Help strengthen automation, infrastructure management, deployment processes, and operational standards across the data engineering environment.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline with at least 5 years of relevant professional experience, or a Master’s degree with at least 3 years of relevant experience.

• Demonstrated professional experience in software development, DevOps, platform engineering, data engineering, or a closely related field.

• Advanced proficiency in Python, including the ability to develop robust, maintainable, reusable, and well-tested production code.

• Strong experience developing CI/CD workflows using GitHub Actions, GitLab CI/CD, or comparable automation platforms.

• Demonstrated understanding of CI/CD practices for software systems, data platforms, or infrastructure.

• Strong knowledge of source control, automated testing, deployment automation, production support, and software engineering best practices.

• Proven ability to troubleshoot complex production environments, including workflow failures, data-quality problems, performance bottlenecks, and infrastructure incidents.

• Experience with infrastructure as code in a major cloud environment using Terraform, REST APIs, or comparable technologies is preferred.

• Hands-on experience with Databricks, Apache Spark, and AWS services such as Amazon S3, AWS Batch, Amazon MSK, or Apache Kafka is highly desirable.

• Experience managing multi-tenant Databricks environments, including resource monitoring, access controls, workload isolation, and platform governance, is a plus.

• Familiarity with Unity Catalog, Delta Lake, Databricks Workflows, Databricks Asset Bundles, and SQL warehouses is preferred.

• Experience with enterprise authentication and authorization, including identity federation, service principals, role-based access control, and secrets management, is valuable.

• An active U.S. Government Secret clearance is preferred; U.S. citizenship is required for positions requiring government clearance.

• Strong collaboration, communication, analytical, and problem-solving skills, with the ability to work effectively with engineers, architects, and cross-functional technical teams.

Benefits

• Annual base salary range of $103,600–$155,400, depending on experience, education, skills, responsibilities, and market conditions.

• Potential eligibility for overtime, shift differentials, and discretionary annual bonus opportunities, depending on the position.

• Health insurance coverage.

• Life and disability insurance.

• Savings and retirement plan benefits.

• Company-paid holidays.

• Paid time off for vacation and personal business.

• Remote or hybrid work possibilities depending on business and role requirements.

• Opportunity to work on large-scale data, analytics, cloud, and AI transformation initiatives.

• No relocation assistance is provided for this position.

• No travel is required.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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