Senior Data Engineer

Job not on LinkedIn

🕒 October 30

🇺🇸 United States – Remote

💵 $120k - $160k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on CARE's careers page ↗CARE's careers page, not through a job board

First seen by Remote Rocketship October 30

Still open on CARE's site. Checked 3 hours ago.

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Logo of CARE

CARE

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 • Oversee ingestion, transformation, integration, and delivery of 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, including Azure and Databricks • Develop and monitor batch and streaming data processes • Maintain documentation and lineage tracking across datasets and pipelines • Collaborate with analysts, data scientists, software engineers, and business stakeholders • Review and refine team members’ work to ensure quality and performance standards • Provide technical mentorship to junior team members • Collaborate with contractors and third-party vendors • Integrate APIs, structured/unstructured data sources, and third-party systems into centralized data platforms • Evaluate and implement technologies to improve scalability, observability, and automation • Suggest infrastructure, process, and automation improvements to 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 • Remote 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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