Talantix.io
Exadel•07.03.26
AI SCORE 8.5

Remote Senior Data Engineer - AI-Driven Solutions

$120K–$150K/year
RemoteEdTech
Snowflake•Coalesce.io•Airbyte•SQL Server•SSIS•Azure Data Factory•Jira•GitHub

About the Role

Join Exadel as a Remote Senior Data Engineer and be part of an AI-first global tech company with over 25 years of engineering leadership. In this role, you will design, implement, and maintain scalable data pipelines that power Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. Your contributions will directly impact our mission to build innovative solutions for education services, primarily serving military personnel, veterans, and public service communities.

What You’ll Do

  • Design, implement, and maintain scalable data pipelines using Snowflake, Coalesce.io, Airbyte, and SQL Server/SSIS, with some use of Azure Data Factory.
  • Build and maintain dimensional data models to ensure high-quality, structured data for analytics and reporting.
  • Implement Medallion architecture in Snowflake, managing bronze, silver, and gold layers.
  • Collaborate with teams using Jira for task tracking and GitHub for code repository management.
  • Ensure reliable ETL processes, data transformations, and data integration workflows.
  • Help improve data modeling practices and address weaknesses in dimensional modeling.

Requirements

  • Hands-on experience with Snowflake, Coalesce.io, Airbyte, SQL Server/SSIS, and Azure Data Factory.
  • Strong understanding of Medallion architecture and dimensional data modeling.
  • Practical experience in building ETL pipelines and transforming data for analytics.
  • Familiarity with Jira and GitHub for collaborative work.
  • Strong analytical and problem-solving skills, with the ability to collaborate across teams.
  • Minimum 4-hour overlap with US Eastern Time.

Nice to Have

  • Exposure to Power BI (optional).
  • Experience with Salesforce data integration.
  • Background in higher education / ed-tech domains.

What We Offer

  • Competitive salary ranging from $120,000 to $150,000 annually.
  • Remote work flexibility with a diverse team across multiple countries.
  • Opportunities for professional growth and development.
  • Collaborative work environment with access to cutting-edge technologies.
  • Engagement in impactful projects that make a difference in education.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Remote Senior Data Engineer position at Exadel offers a unique opportunity to work with leading clients in an AI-first environment, providing competitive compensation and a flexible work culture.

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

Who Will Succeed Here

→

Proficient in designing and optimizing data pipelines using Snowflake and Azure Data Factory, with a strong understanding of ETL processes and data transformation techniques.

→

Self-motivated and disciplined in remote work settings, demonstrating the ability to manage time effectively and deliver high-quality results independently while collaborating with cross-functional teams via Jira and GitHub.

→

Deep analytical mindset with a strong background in SQL Server and SSIS, enabling the ability to troubleshoot complex data issues and implement innovative solutions quickly.

Learning Resources

→Snowflake Documentationguide
→Mastering Azure Data Factorycourse
→Data Engineering on Google Cloudcourse

Career Path

Remote Senior Data Engineer - AI-Driven Solutions(Now)→Lead Data Engineer(1-2 years)→Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$6.5B
Annual Growth
23.5%
AI Adoption
70%
Investment
+150%
Labour Demand
+45%
Avg Salary
$130K

Skills & Requirements

Required
SnowflakeCoalesce.ioAirbyte
Growing in Demand
dbt (data build tool)Apache KafkaDataOps
Declining
HadoopSSIS (in favor of more modern ETL tools)

Domain Trends

Increased Adoption of Data Lakes
Organizations are increasingly integrating Snowflake with data lake architectures, with 60% of enterprises adopting this hybrid approach to streamline data processing.
Rise of Real-Time Data Processing
The demand for real-time analytics has surged, with 55% of companies prioritizing real-time data solutions, leading to increased use of Snowflake's capabilities.
Shift Towards Serverless Architectures
Serverless data solutions are gaining traction, with a 40% growth in adoption over the past year, allowing organizations to scale their data operations efficiently using Snowflake.

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.