- Design, build, and maintain scalable, reliable data pipelines using Python and Apache Spark to support data science and ML workflows.
- Architect and own the data platform infrastructure-including data lakes, data warehouses, and feature stores-ensuring performance, quality, and governance at scale.
- Partner closely with data scientists and ML engineers to build and maintain the data foundations required for model training, validation, and deployment.
- Define and implement data engineering best practices including pipeline orchestration, data quality frameworks, lineage tracking, and observability.
- Lead the design of reusable data assets-feature engineering pipelines, curated datasets, and domain-specific data models-that accelerate ML experimentation and production readiness.
- Collaborate with platform and DevOps teams to operationalize data infrastructure through CI/CD pipelines, infrastructure as code, and automated testing.
- Evaluate and introduce modern data tooling and frameworks, driving continuous improvement in the data engineering ecosystem.
- Establish and enforce data governance, security, and compliance standards aligned with HIPAA and healthcare data requirements.
- Conduct design reviews and technical mentorship for senior and mid-level data engineers across the organization.
- Serve as a cross-functional technical authority, aligning data engineering direction with product, clinical, and analytics stakeholders.
- Deep expertise in Python - including data engineering libraries, pipeline development, testing, and production-grade code quality.
- Strong hands-on experience with Apache Spark for large-scale distributed data processing, optimization, and performance tuning.
- Proven experience designing and maintaining data platforms including data lakes, lakehouses, or data warehouse architectures (e.g., Delta Lake, Iceberg, Hudi).
- Experience building and orchestrating data pipelines using tools such as Apache Airflow, Prefect, Dagster, or equivalent.
- Solid understanding of ML platform concepts - feature stores, training data pipelines, model registries, and experiment tracking (e.g., MLflow, Feast).
- Proficiency with cloud data platforms, preferably Azure (Azure Data Factory, Azure Databricks, Azure Synapse, ADLS) or equivalent AWS/GCP services.
- Strong knowledge of data modeling, schema design, and data warehousing principles for both analytical and ML workloads.
- Experience with data quality frameworks and observability tooling (e.g., Great Expectations, Monte Carlo, dbt tests).
- Familiarity with infrastructure as code and DevOps practices - Terraform, Docker, Kubernetes, or equivalent.
- Solid understanding of data security, access controls, and compliance requirements in regulated industries.
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Staff Engineer - United States - Newfire Global Partners
Description
Staff EngineerDepartment: Advisory
Employment Type: Full Time
Location: US
Reporting To: Will Crawford
Compensation: $163,547 - $208,287 / year
Description
Newfire Global Partners is a leading technology firm that specializes in building transformative software solutions for some of the world's most innovative companies. With a presence across four continents, Newfire Global brings deep expertise in digital healthcare, AI-driven analytics, and enterprise technology. The firm's track record of delivering scalable, high-impact solutions has made it a trusted partner for organizations seeking to drive meaningful change through technology.
We are passionate about the purpose-driven mission to help improve the quality of care for patients and are building a collaborative, innovative, and inclusive culture. We are a fully funded company founded by serial entrepreneurs with a stable client base.
Opportunity for impact
Newfire Global Partners, a leader in developing disruptive healthcare technology, collaborates with Fortune 500 companies and start-ups to drive transformation.
Newfire is seeking a Staff Engineer with SaaS experience to drive the modernization and spearhead the development of a unified, next-generation clinical technology platform for a current healthcare client. This new platform will serve as the foundation for all clinical data and operations across every line of business. By creating a robust and innovative solution, this leader will enable enhanced care management, utilization management, and data-driven decision-making-ultimately working to improve healthcare outcomes for millions of Americans.
Role & responsibilities
The Staff Engineer on this transformative project is responsible for building and leading a team of collaborative. The ideal candidate brings deep expertise in Python and Apache Spark, a strong foundation in cloud-based data infrastructure, and a proven ability to architect the pipelines and platforms that power machine learning model training, deployment, and monitoring. Based in the US with East Coast availability preferred, this engineer will play a foundational role.
Newfire Global is committed to consistent compensation practices across our organization. Total compensation for this role is market driven, with a salary of $ $ Base pay is ultimately determined based on a candidate's skills, expertise, and experience. We also offer a comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, Employee Assistance Program, 401(k) program with employer contribution, Flexible work schedules and time-off policy, as well as company equipment for all new full-time US-based remote employees.
Offers are contingent upon successful completion of a background screening. Background screenings will be conducted in compliance with applicable laws and will not be initiated without your consent.
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