Principal Data Engineer

CodaMetrix

Principal Data Engineer for CodaMetrix revolutionizing Revenue Cycle Management through AI solutions. Leading data strategy, platform engineering, and cross-functional mentorship in healthcare.

Posted 7/16/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesLead💰 $175,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data platform architecture and engineering, with a strong focus on Databricks, PySpark, and Terraform. Proven ability to ensure compliance with HIPAA regulations while optimizing performance and cost across data environments.

Highest-signal resume keywords

Data Engineering ExperienceDatabricks Platform ExpertisePySpark ProficiencyTerraform Infrastructure ManagementHIPAA Compliance Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringPySparkPythonTerraformApache KafkaSQLCI/CD PipelinesAWSData GovernanceMedallion Architecture

Soft Skills

MentorshipCross-Functional CollaborationTechnical Leadership

Tools & Technologies

DatabricksJenkinsGitHub ActionsCloudZeroAWS Cost ExplorerTableau

Industry Keywords

HIPAAPHI HandlingHealthcare DataEHRICD-10CPTHL7FHIR

Tech Stack

Tools & technologies

ApacheAWSJenkinsKafkaPySparkPythonScalaSparkSQLTableauTerraformUnity

About the role

Key responsibilities & impact

Own the technical strategy and roadmap - Own the vision, architecture, and roadmap for the CodaMetrix data platform, ensuring scalability, reliability, regulatory alignment, and operational excellence. Lead key technology decisions, disaster recovery design, architecture reviews, and data engineering standards across teams.
Platform Engineering at Scale - Design, build, and maintain scalable streaming and batch data platforms Databricks using PySpark, Unity Catalog, Delta Lake, and Structured Streaming. Own Terraform-based infrastructure across environments, including jobs, catalogs, schemas, permissions, compute policies, volumes, and external locations. Build Jenkins CI/CD workflows for automated testing, tagging, and deployments, while optimizing training pipelines, materialized views, retention policies, and production performance.
Data Governance & Security - Implement and evolve least-privilege access controls across Databricks using Unity Catalog grants, YAML-driven group policies, and schema-level restrictions. Ensure HIPAA and SOC 2 compliance through PHI masking, audit logging, environment-level data segmentation, user provisioning, compute policies, and cost attribution.
Cost Optimization & Operational Excellence - Drive platform cost reduction through compute policy tuning, serverless optimization, reserved pools, materialized view improvements, and remediation of underutilized resources. Monitor Databricks/AWS spend (using tools like CloudZero and AWS Cost Explorer), own cost attribution and budgeting, resolve production incidents, and maintain runbooks to ensure platform SLAs for uptime and performance.
Cross-Functional Enablement & Mentorship - Enable ML, BI, Analytics, DevOps, and customer success and implementation teams with training data pipelines, model-ready datasets, feature store architecture, optimized views, dashboards, Tableau refreshes, infrastructure changes, and tenant onboarding. Mentor engineers through code and design reviews, establish quality standards, and serve as a subject matter expert for data platform engineering across the organization.

Requirements

What you’ll need

A degree in Computer Science or a related field (Bachelor's, Master's, or Ph.D.), or an equivalent combination of education and demonstrable professional experience
8+ years of data engineering experience with progressive responsibility
5+ years hands-on experience with the Databricks platform (Unity Catalog, Delta Lake, Structured Streaming, Spark SQL, cluster management, platform administration)
Expert proficiency in PySpark and Python; working knowledge of Scala
Expert experience with Terraform for infrastructure-as-code (state management, modular structures, multi-environment deployments, YAML-driven configuration)
Expert experience with Apache Kafka / AWS MSK (streaming ingestion, SASL/IAM auth, topic management, cluster migrations)
Deep understanding of medallion/lakehouse architecture patterns (bronze/silver/gold, SCD2, materialized views, slowly changing dimensions)
Proven track record building and maintaining CI/CD pipelines (Jenkins, GitHub Actions) for data platform deployments
Expert SQL skills — complex CTEs, window functions, performance optimization of large-scale queries across petabyte-scale datasets
Strong AWS experience (S3, IAM, Secrets Manager, VPC/Private Link, cross-region replication)
Demonstrated ability to operate in a HIPAA-regulated environment with PHI handling requirements
Experience with disaster recovery architecture — cross-region replication, failover procedures, read-only replicas
Experience using AI tools (e.g., Claude, Gemini, Codex) and agentic workflows to augment design, development, and testing processes.
Huge Plus: Prior experience working with healthcare data, such as medical claims, electronic health records (EHR), or billing code systems (ICD-10, CPT). Familiarity with healthcare data standards like HL7 or FHIR is highly desirable. Track record of influencing technical direction beyond immediate team — architecture reviews, establishing org-wide standards, technology selection. Strategic ability to make build-vs-buy decisions and evaluate emerging technologies for platform evolution

Benefits

Comp & perks

Health Insurance: We cover 80% of the cost of medical and dental insurance and offer vision insurance
Retirement: We offer a 401(k) plan that eligible employees can contribute to one month after their first day
Flexibility: We have a generous Paid Time Off policy, which is managed but not limited, so you can take the time you need to relax and rejuvenate
Development: We provide annual performance evaluations and prioritize working with employees on what their individual growth looks like
Recognition: We recognize the outstanding achievements of our team through annual company awards where employees have the opportunity to nominate their peers
Office Location: A modern open plan workspace located in the bustling Back Bay neighborhood of Boston
Additional Employer Paid Benefits: We offer employer-paid life insurance and short-term and long-term disability insurance