Senior Data Engineer

Job not on LinkedIn

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $120k - $160k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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CARE

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1945

🍽️ Food & Beverage

🏥 Healthcare

📦 Logistics

💰 Grant on 2021-11

Food & Beverage • Healthcare • Logistics

CARE is a boutique provider of high-quality, accredited carers for the Aged Care and Early Learning industries. It specializes in matching experienced professionals, recent graduates, and students with job vacancies in these sectors, facilitating rewarding career placements. CARE aims to support clients and carers by providing effective staffing solutions and contributing to their success in the industry.

📋 Description

• Design, develop, implement, and maintain scalable data pipelines and enterprise data solutions • Ingest, transform, integrate, and deliver complex data from multiple sources • Develop and maintain architecture standards, reusable frameworks, and data engineering best practices • Build automated systems for data ingestion, transformation, and orchestration using cloud-native and open-source tools • Optimize data storage and processing in data lakes and cloud data warehouses using Azure and Databricks • Develop and monitor batch and streaming data processes for accuracy, consistency, and timeliness • Maintain documentation and lineage tracking across datasets and pipelines • Collaborate with analysts, data scientists, software engineers, business stakeholders, contractors, and third-party vendors • Review and refine team members’ work to ensure quality and performance standards • Provide technical mentorship to junior team members • Use Databricks, dbt, Azure Data Factory, and SQL to architect and deploy data engineering solutions • Integrate APIs, structured and unstructured data sources, and third-party systems into centralized data platforms • Evaluate and implement technologies that improve scalability, observability, and automation • Suggest improvements to infrastructure, processes, and automation to improve efficiency, reduce costs, and enhance performance

🎯 Requirements

• Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or a related field • 5+ years of experience in data engineering with a proven track record of building cloud-based, production-grade data pipelines • Strong expertise in Databricks, SQL, dbt, Python, and cloud data ecosystems such as Azure • Experience working with structured and semi-structured data from diverse domains • Familiarity with CI/CD pipelines, orchestration tools (e.g., Airflow, Azure Data Factory), and modern software engineering practices • Strong analytical and problem-solving skills, with the ability to address complex data challenges and drive toward scalable solutions • Ability to use keyboards and other computer equipment • Must be able to work remotely within the United States • Care Access is unable to sponsor work visas at this time

🏖️ Benefits

• Paid Time Off (PTO) and Company Paid Holidays • 100% Employer paid medical, dental, and vision insurance plan options • Health Savings Account and Flexible Spending Accounts • Bi-weekly HSA employer contribution • Company paid Short-Term Disability and Long-Term Disability • 401(k) Retirement Plan, with Company Match

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