Talantix.io
Federato•09.03.26
AI SCORE 8.5

Senior Data Engineer - Remote Position at Federato

$185K–$215K/year
RemoteAI/Big Data
SQL•Data Warehousing•ETL•AWS•Azure•Google Cloud•Python•Java

About the Role

Federato is seeking a talented Senior Data Engineer to join our team and work remotely from the United States. In this role, you will be responsible for designing and implementing data solutions that drive our business decisions and enhance our data capabilities. As a Senior Data Engineer, you will play a crucial role in shaping our data architecture and ensuring the integrity and availability of our data systems.

What You'll Do

  • Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analysis.
  • Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
  • Implement best practices for data governance, data quality, and data security.
  • Optimize data storage and retrieval processes to improve performance and efficiency.
  • Monitor and troubleshoot data systems to ensure reliability and availability.

Requirements

  • 5+ years of experience as a Data Engineer or in a similar role.
  • Proficiency in SQL and experience with data warehousing solutions.
  • Strong knowledge of data modeling, ETL processes, and data integration tools.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with programming languages such as Python or Java for data processing.

Nice to Have

  • Experience with big data technologies like Hadoop or Spark.
  • Knowledge of machine learning concepts and tools.
  • Familiarity with data visualization tools such as Tableau or Power BI.

What We Offer

  • Competitive salary range of $185,000 - $215,000 per year.
  • Fully remote work environment with flexible hours.
  • Opportunities for professional development and growth.
  • Comprehensive health benefits and wellness programs.
  • A collaborative and innovative team culture.
Why This Job8.5 of 10

This Senior Data Engineer role at Federato offers a competitive salary and the flexibility of remote work, making it an attractive opportunity for experienced data professionals.

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

Who Will Succeed Here

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Proficient in designing and implementing ETL processes using AWS Glue or Azure Data Factory, with a strong emphasis on optimizing data flow and transformation for large datasets.

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Demonstrates self-motivation and discipline to excel in a fully remote work environment, effectively managing time and prioritizing tasks to meet project deadlines.

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Possesses advanced problem-solving skills and a growth mindset, with extensive experience in SQL and Python for data manipulation and analysis, as well as familiarity with Java for developing data pipelines.

Learning Resources

→SQL for Data Sciencecourse
→Data Warehousing on AWSguide
→Introduction to Data Engineeringcourse

Career Path

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

Market Overview

Market Size 2024
$45B
Annual Growth
12.5%
AI Adoption
40%
Investment
+60%
Labour Demand
+25%
Avg Salary
$130K

Skills & Requirements

Required
SQLData WarehousingETL
Growing in Demand
Data ScienceMachine LearningApache Spark
Declining
Traditional Data ModelingSQL Server Reporting Services (SSRS)

Domain Trends

Increased Adoption of Cloud Data Warehousing
By 2025, 70% of organizations are expected to shift to cloud-based data warehousing solutions, driven by scalability and cost-effectiveness.
Integration of AI in Data Processing
Over 60% of data engineering teams are now leveraging AI tools to automate ETL processes, significantly reducing time-to-insight.
Rise of Real-Time Data Analytics
The demand for real-time data analytics solutions is projected to grow by 30% annually, as businesses seek to enhance decision-making capabilities.

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