Senior Data Engineer

Job not on LinkedIn

🕒 March 23

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Aya Healthcare

Aya Healthcare

5001 - 10000 employees

Founded 2001

⚕️ Healthcare Insurance

🎯 Recruiter

Healthcare Insurance • Recruitment

Aya Healthcare is a prominent provider of healthcare staffing services, connecting healthcare professionals such as nurses and allied health workers with healthcare facilities across the United States. They offer travel nursing, per diem, and permanent placement services, ensuring that hospitals and healthcare systems have the necessary staff to provide high-quality patient care. Aya Healthcare focuses on improving the staffing industry through innovative technology and exceptional customer service.

📋 Description

• Lead the design and implementation of scalable, robust data architectures supporting enterprise-level data solutions • Design, build, and maintain complex ETL/ELT pipelines integrating data from diverse sources (APIs, cloud platforms, databases) • Own and deliver high-impact, complex data engineering projects end-to-end • Provide technical leadership and mentorship to junior and mid-level data engineers • Establish and enforce data engineering best practices, standards, and governance • Collaborate with cross-functional teams and client engineering teams to define data integration strategies and requirements • Monitor, troubleshoot, and optimize data pipeline performance, scalability, and reliability • Drive improvements in data quality, observability, and operational efficiency • Ensure data security, privacy, and compliance through proper architecture and Azure policies

🎯 Requirements

• Bachelor’s degree in computer science, information systems, or a related field • 6+ years of experience in cloud data architecture, design and data governance • Strong experience with Azure cloud services, such as Azure Data Lake Storage, Azure Data Factory, and Azure Synapse • Proficiency in programming languages, such as SQL, Python, Scala, or Java • Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure • Knowledge of various data storage solutions, such as relational databases, etc. • Creating & Managing documentation on methodologies, tools and techniques • Strong analytical problem-solving and the ability to explain complex technical designs to non-technical stakeholders • Proven ability to lead complex projects and mentor team members • Willing and able to work irregular hours as needed

🏖️ Benefits

• Free premium medical, dental, life and vision insurance • Generous 401(k) match • Aya also offers other benefits to those that are eligible and where required by applicable law, including reimbursements and discretionary bonuses • Aya provides paid sick leave in accordance with all applicable state, federal, and local laws. Aya’s general sick leave policy is that employees accrue one hour of paid sick leave for every 30 hours worked. However, to the extent any provisions of the statement above conflict with any applicable paid sick leave laws, the applicable paid sick leave laws are controlling • Celebrations! We hit our goals and reward ourselves. • Company-sponsored virtual events, happy hours and team-building activities are always on the horizon — plus, you get a special treat on your birthday! • Unlimited DTO — we believe in time off! • Virtual yoga, meditation or boot camp classes offered daily

Apply Now

Similar Jobs

🕒 March 20

Leap

11 - 50

⚕️ Healthcare Insurance

🤝 B2B

Senior Data Engineer responsible for building and maintaining data infrastructure at a healthcare company. Focused on claims ingestion, reporting, and AI-ready data systems.

Airflow

BigQuery

Cloud

Python

SQL

🕒 March 20

Horizon Industries, Limited

201 - 500

🤝 B2B

☁️ SaaS

🔒 Cybersecurity

Databricks Data Engineer supporting diverse clients at Horizon Industries. Building ETL/ELT pipelines and cloud data solutions.

Amazon Redshift

AWS

Azure

Cloud

DynamoDB

EC2

ETL

Google Cloud Platform

Hadoop

Kafka

NoSQL

Python

Scala

Spark

SQL

Go

🕒 March 20

SHI International Corp.

5001 - 10000

🤝 B2B

🔧 Hardware

☁️ SaaS

Senior Data Engineer involved in data engineering and ETL workflows for SHI. Collaborating with stakeholders and establishing data practices within the organization.

AWS

Azure

Cloud

ETL

Google Cloud Platform

Python

SQL

🕒 March 20

Veeva Systems

1001 - 5000

☁️ SaaS

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Senior Data Engineer leading design and implementation of Lakehouse environment at Veeva Systems. Supporting life sciences companies by providing scalable solutions to enhance data utilization and analytics.

AWS

Cloud

ETL

Kafka

Kubernetes

Spark

🕒 March 20

Fuze Health

1001 - 5000

☁️ SaaS

🤝 B2B

💊 Pharmaceuticals

Senior Manager leading data engineering at Fuze Health. Overseeing the data platform strategy and team development for healthcare solutions.

AWS

Azure

Cloud

Google Cloud Platform