Talantix.io
Exadel•10.03.26
AI SCORE 8.5

Remote Senior Data Engineer - AI-Driven Solutions

$120K–$140K/year
RemoteEdTech
Snowflake•Coalesce.io•Airbyte•SQL Server•SSIS•Azure Data Factory•Jira•GitHub•ETL•Data Modeling

About the Role

We are seeking a Remote Senior Data Engineer to join our innovative team at Exadel. As a leader in AI-driven solutions, we have over 25 years of engineering excellence and a diverse team of more than 2,000 professionals. In this role, you will design and implement scalable data pipelines that support our Fortune 500 clients, including industry giants like HBO, Microsoft, Google, and Starbucks.

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 effectively.
  • 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 $140,000 per year.
  • Flexible remote working environment.
  • Opportunities for professional growth and development.
  • Collaborative and innovative team culture.
  • Access to cutting-edge technologies and tools.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Remote Senior Data Engineer position at Exadel offers a competitive salary and the chance to work with leading clients in an innovative environment. Ideal for those looking to advance their careers in data engineering.

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

Who Will Succeed Here

→

Proficiency in building and optimizing ETL pipelines using Snowflake and Azure Data Factory, with hands-on experience in data modeling and transformation techniques.

→

A strong analytical mindset with the ability to troubleshoot complex data issues and optimize data flows, ideally suited for a remote work environment that requires self-motivation and proactive problem-solving.

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Extensive experience with Coalesce.io and Airbyte for data integration, along with a solid understanding of SQL Server and SSIS, demonstrating the ability to manage large-scale data projects and mentor junior engineers.

Learning Resources

→Snowflake Documentationguide
→Data Engineering with Azurecourse
→Building ETL Pipelines with Airbytearticle

Career Path

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

Market Overview

Snowflake Market Size 2024
$6.5B
Annual Growth
25.2%
AI Adoption in Data Engineering
60%
Investment in Snowflake Ecosystem
+150%
Labour Demand for Data Engineers
+30%
Avg Salary for Senior Data Engineers
$140K

Skills & Requirements

Required
SnowflakeCoalesce.ioAirbyte
Growing in Demand
dbt (data build tool)DataOpsMachine Learning Integration
Declining
Traditional ETL ToolsOn-Premises Data Warehousing

Domain Trends

Increased Cloud Data Warehousing Adoption
By 2025, 80% of enterprises will have migrated to cloud data warehousing solutions, driven by scalability and cost efficiency.
Shift Towards Real-Time Data Processing
Real-time data processing is expected to grow by 40% as organizations demand instant insights for decision-making.
Rise of AI-Driven Analytics
60% of data engineering teams are expected to integrate AI tools into their workflows by 2025, enhancing data processing capabilities.

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