Job Title: Senior Data Engineer

Position Summary:

The Sr. Data Engineer drives the build, design and implementation of enterprise-grade data pipelines and platform components across healthcare use cases. With expert knowledge of data modeling, distributed processing (e.g., Spark, Airflow), and cloud-based architectures, they ensure that data infrastructure is secure, performant, and scalable. In addition to building, they champion code quality, observability, and CI/CD best practices using Git and Infrastructure as Code. They lead teams by example in sprint execution, backlog management, and inter-team communication—frequently interfacing with analysts, data scientists, and product owners to ensure alignment and shared understanding.

Essential Duties and Responsibilities:

• Build enterprise-level scalable, low-latency, fault-tolerant data platforms that provide meaningful and timely insights.
• Collaborate with a team of engineers to design and build data pipelines using big data technologies (Spark, Snowflake, AWS Big Data Services, Iceberg, Airflow) for medium to large-scale datasets.
• Influence best practices for data pipeline design, data architecture, and processing of structured and unstructured data.
• Automate and manage Git workflows, including CI/CD pipelines and Git hooks for data pipeline validation.
• Design and deploy event-driven serverless functions using AWS Lambda, Step Functions, or API Gateway.
• Implement and manage feature flag frameworks to support safe data product rollouts.
• Identify and resolve data quality issues, including inaccuracies and incomplete information. Enhance data quality efforts by implementing improved procedures and processes.
• Author detailed technical specifications and design documents for internal data products.
• Work in a creative & collaborative environment driven by agile methodologies.
• Continuously improve our products, systems, code, and team processes. Implement best practices and raise the bar by introducing new ones.

Education and Experience:

• Bachelor’s degree in data engineering, Computer Science.
• Python & PySpark (6–8 yrs) – Designed reusable data pipeline frameworks and transformations for healthcare data.
• Airflow (5–6 yrs) – Authored complex DAGs to orchestrate multi-stage ETL workflows across systems.
• AWS Glue & Lambda (4–6 yrs) – Led implementation of serverless ingestion pipelines integrated with S3.
• Iceberg (2+ yrs) – Modeled transactional lakehouse tables with schema evolution and time-travel support.
• EMR Studio (2–3 yrs) – Used for pipeline prototyping, debugging, and notebook-based collaboration.
Docker/Kubernetes (3–5 yr) – Built and deployed containerized ETL pipelines using Docker; leveraged Kubernetes to orchestrate scalable data workflows in production environments

The expected base salary for this position ranges from $120,000-135,000 with a bonus target of up to 5% of the base salary. We do consider a wide range of factors when making offer decisions, including (but not limited to) the scope and responsibilities of the position, a candidate’s relevant skills, training, experience, education and where applicable, licensure and certifications obtained. We also consider organizational and market factors when making offer decisions.

Equal Employment Opportunity Statement:

Convey Health Solutions is an Equal Opportunity Employer committed to fostering an inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local laws.

Convey Health Solutions also provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable laws. Applicants requiring accommodation during the application or interview process should contact the Human Resources department.

The Convey Health Solutions family of companies, including Pareto Intelligence™, delivers a powerful combination of purpose-built technology, advanced analytics, and expert services to help health plans thrive in a complex, post, Affordable Care Act environment.
As a trusted partner to Medicare and commercial payers, we provide scalable, compliant solutions that span the entire member lifecycle, from enrollment and billing to risk adjustment, Stars performance, and member engagement. Pareto’s deep analytics and financial intelligence complement Conveys’ operational expertise, enabling our clients to improve performance, reduce costs, and create better healthcare experiences for millions of Americans, especially seniors and vulnerable populations.
Together, we help health plans scale smarter, grow stronger, and make healthcare work better for the people who need it most.

Learn more at www.ConveyHealthSolutions.com.