Talantix.io
Databricks•18.02.26
AI SCORE 8.5

Remote Data Analytics Engineer - Join Databricks Team

$90K–$130K/year
RemoteAI/Big Data
SQL•Data Visualization•Tableau•Power BI•Python•R•AWS•Azure•GCP

About the Role

We are excited to announce an opening for a Remote Data Analytics Engineer at Databricks. As a key member of our team, you will play a pivotal role in shaping the future of data analytics and AI. This Remote Data Analytics Engineer position offers the opportunity to work in a dynamic environment where innovation is at the forefront. Join us to leverage your skills and contribute to groundbreaking projects that impact industries worldwide.

What You'll Do

  • Design and implement data analytics solutions that drive business insights.
  • Collaborate with cross-functional teams to gather requirements and translate them into actionable analytics strategies.
  • Utilize advanced analytics tools and frameworks to analyze large datasets and extract meaningful insights.
  • Develop and maintain data pipelines to ensure data integrity and accessibility for analytics purposes.
  • Participate in code reviews and contribute to best practices in data engineering and analytics.

Requirements

  • 3+ years of experience as a Data Analytics Engineer or similar role.
  • Proficiency in SQL and experience with data visualization tools such as Tableau or Power BI.
  • Strong analytical skills and ability to work with large datasets.
  • Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
  • Familiarity with programming languages such as Python or R for data manipulation and analysis.

Nice to Have

  • Experience with machine learning frameworks and libraries.
  • Knowledge of data warehousing solutions.
  • Familiarity with ETL processes and tools.

What We Offer

  • Competitive salary ranging from $90,000 to $130,000 annually.
  • Comprehensive health benefits and wellness programs.
  • Flexible work hours and a fully remote work environment.
  • Opportunities for professional development and continuous learning.
  • A collaborative and inclusive company culture that values innovation.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Remote Data Analytics Engineer position at Databricks offers a competitive salary and the chance to work on innovative projects in AI and data analytics, making it an attractive opportunity for professionals in the field.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in SQL and experienced with data visualization tools such as Tableau and Power BI to effectively present complex datasets and insights.

→

Strong self-motivation and time management skills suited for a remote work environment, enabling the ability to deliver high-quality work independently and meet project deadlines.

→

Solid understanding of cloud platforms like AWS, Azure, or GCP, with practical experience in deploying data analytics solutions and optimizing performance in a cloud-native environment.

Learning Resources

→SQL for Data Sciencecourse
→Getting Started with Tableauguide
→Introduction to Data Analytics on Google Cloudcourse

Career Path

Remote Data Analytics Engineer(Now)→Data Analytics Team Lead(1-2 years)→Senior Data Architect(3-5 years)

Market Overview

Market Size 2024
$24.5B
Annual Growth
25.3%
AI Adoption in Data Analytics
43%
Investment in Data Analytics Tools
+150%
Labour Demand for Data Engineers
+30%
Avg Salary for Data Analytics Engineers
$110K

Skills & Requirements

Required
SQLData VisualizationTableau
Growing in Demand
Machine LearningData WarehousingCloud Data Engineering
Declining
Classic ETL ToolsOn-premise Database Management Systems

Domain Trends

Rise of AI-Driven Analytics
AI-driven analytics tools are expected to increase by 60% in adoption, enabling more predictive and prescriptive analytics.
Cloud Migration of Data Solutions
Over 70% of organizations are migrating their data analytics solutions to cloud platforms like AWS, Azure, and GCP, driving demand for cloud-savvy data engineers.
Integration of Real-Time Data Processing
By 2025, 50% of data analytics will involve real-time processing, pushing the need for skills in stream processing technologies.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.