Data Engineer II

Dayforce

Data Engineer II at mPulse, developing and maintaining scalable data pipelines to support analytics and AI/ML in healthcare. Collaborating with cross-functional teams in a remote-first environment.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and maintaining scalable data pipelines, with strong proficiency in SQL and workflow orchestration using Apache Airflow. Ability to analyze complex data issues and collaborate effectively with cross-functional teams to deliver high-quality data solutions.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL Query OptimizationApache Airflow Workflow OrchestrationData Quality FrameworksCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETLELTSQLData TransformationData ProfilingData ValidationPerformance TuningData AnalysisRoot Cause AnalysisData Modeling

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsAttention to DetailTeam Collaboration

Tools & Technologies

Apache Airflow

Industry Keywords

Healthcare DataData EngineeringData OperationsAnalyticsAI/ML Use Cases

Tech Stack

Tools & technologies

AirflowApacheETLSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines (ETL/ELT) to support ingestion, transformation, and delivery of high-volume healthcare data.
Write, optimize, and maintain complex SQL queries for data transformation, validation, and performance tuning.
Develop and manage workflow orchestration using Apache Airflow, including DAG creation, monitoring, and troubleshooting.
Enhance and scale data platform capabilities to support analytics, product features, and AI/ML use cases.
Build and maintain data quality frameworks, including automated data profiling, validation, and testing processes.
Monitor and optimize pipeline performance, reliability, and efficiency in production environments.
Analyze complex data issues, identify root causes, and implement scalable solutions, clearly communicating findings to both technical and non-technical stakeholders.
Collaborate with cross-functional teams (Data Operations, Product, Analytics, Data Science) to gather requirements and deliver high-quality data solutions.
Partner with clinical and analytics teams to operationalize data-driven insights and reporting solutions.
Contribute to documentation of data pipelines, data models, and engineering processes to support maintainability and knowledge sharing.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
3+ years of professional experience in data engineering or a related field.
Strong analytical and problem-solving skills, with the ability to work with complex datasets and identify root causes.
Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
Ability to collaborate effectively in cross-functional environments, working with engineering, product, analytics, and operations teams.
Strong attention to detail and commitment to data accuracy, consistency, and quality.
Demonstrated ability to manage multiple priorities and deliver high-quality work in a fast-paced environment.
Demonstrates self-awareness, with the ability to recognize and communicate individual strengths and areas for growth.
Shows a strong willingness to learn, adapt, and support team members, contributing to a collaborative and positive team environment.
Effectively communicates progress, priorities, and status updates to both internal and external stakeholders in a clear and timely manner.

Benefits

Comp & perks

100% Company-Paid Employee Coverage - Medical, dental, and vision plans with a 100% company-paid employee-only option, plus company contributions toward dependent coverage and company-paid life and disability insurance.
401(k) + 4% Match - with financial advisors to help you plan
6 Weeks Parental Leave
Invest in You - 30-60-90 day plans and frequent training
Culture of Recognition - peer-to-peer bonuses & team celebrations
Remote-First & Flexible PTO - work from wherever you're most productive