Data Engineer

Healthfirst

. Find trends in datasets and develop workflows and algorithms to make raw data useful to the enterprise .

Posted 10/27/2026full-timeUnited StatesMid-LevelSenior💰 $108,300 - $156,485 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, particularly in healthcare claims data, with a strong focus on developing and maintaining data architectures and workflows. Proficient in programming languages such as Java and Python, and experienced in cloud infrastructure and data management procedures.

Highest-signal resume keywords

Data Engineering ExperienceHealthcare Claims Data ExpertiseProficiency in Java and PythonExperience with Amazon Web ServicesSQL Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Architecture DevelopmentData Management ProceduresPredictive ModelingMachine LearningData AutomationBig Data EcosystemData Quality ImprovementData Acquisition StrategiesStatistical MethodsData Monitoring Capabilities

Soft Skills

Critical ThinkingProblem-SolvingInterpersonal SkillsInfluencing Skills

Tools & Technologies

AlteryxAmazon Web ServicesRedshiftSpectrumS3Microsoft Office Suite

Certifications & Qualifications

High School Diploma or GEDBachelor’s Degree in Computer Engineering or Related Field

Industry Keywords

Healthcare IndustryProvider-Sponsored Health Insurance SystemsAgile EnvironmentCloud DeploymentData Security

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudJavaNoSQLPythonSQL

About the role

Key responsibilities & impact

Find trends in datasets and develop workflows and algorithms to make raw data useful to the enterprise
Design and implement standardized data management procedures for staging, ingestion, preparation, provisioning, and destruction
Ensure the quality of technical solutions as data moves across Healthfirst environments
Provide insight into changing data environments, processing, storage, and utilization requirements
Create and verify data acquisition requirements and strategies supporting strategic goals
Develop, construct, test, and maintain data architectures
Align architecture with business requirements using programming languages and tools
Improve data reliability, efficiency, and quality
Conduct research for industry and business questions
Deploy analytics programs, machine learning, and statistical methods
Prepare data for predictive and prescriptive modeling and identify hidden patterns
Identify tasks that can be automated
Create data monitoring capabilities for business processes and coordinate updates with data consumers
Align data architecture with Healthfirst solution architecture and contribute to overall solution architecture
Help maintain the integrity and security of company data
Perform additional duties as assigned or required

Requirements

What you’ll need

Work experience in data engineering
Work experience with healthcare claims data
Work experience with Alteryx
Work experience in data programming languages such as Java or Python
Work experience in a Big Data ecosystem, including file systems, data structures/databases, automation, security, messaging, and data movement
Work experience in a production cloud infrastructure
High School Diploma or GED from an accredited institution
Preferred: Bachelor’s Degree in computer engineering or related field
Preferred: Experience leading healthcare data transformation initiatives from on-premise to cloud deployment
Preferred: Experience working in an Agile environment as a Data Engineer
Preferred: Hands-on experience with Amazon Web Services, Redshift, Spectrum, and S3
Preferred: Proficiency with relational, graph, and NoSQL databases; expertise in SQL
Proficiency in Microsoft Office, including Project, PowerPoint, Word, Excel, and Visio
Knowledge of provider-sponsored health insurance systems/processes and the healthcare industry
Experience developing, prototyping, and testing engineered processes, products, or services
Critical thinking and problem-solving skills
Excellent interpersonal skills and ability to influence across functions and disciplines

Benefits

Comp & perks

Medical, dental and vision coverage
Incentive and recognition programs
Life insurance
401k contributions
Competitive compensation and benefits package