Talantix.io
Earnest•01.03.26
AI SCORE 8.5

Senior Data Engineer - Remote Opportunity at Earnest

$151K/year
RemoteFinTech
SQL•NoSQL•ETL•AWS•Python•Data Warehousing

About the Role

Earnest is seeking a talented Senior Data Engineer to join our dynamic team. This Senior Data Engineer remote position offers you the chance to work from anywhere in the USA while contributing to innovative data solutions that drive our business forward. You will play a pivotal role in designing and implementing data pipelines, ensuring data quality, and collaborating with cross-functional teams to enhance our data-driven decision-making processes.

What You'll Do

  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Collaborate with data scientists and analysts to understand data requirements and provide solutions.
  • Implement data quality checks and monitoring systems to ensure data integrity.
  • Optimize database performance and query efficiency for large datasets.
  • Participate in code reviews and contribute to team knowledge sharing.

Requirements

  • 5+ years of experience as a Data Engineer or in a related field.
  • Proficiency in SQL and experience with NoSQL databases.
  • Strong knowledge of data warehousing concepts and ETL tools.
  • Experience with cloud platforms such as AWS or Azure.
  • Familiarity with programming languages such as Python or Java.

Nice to Have

  • Experience with data visualization tools like Tableau or Power BI.
  • Knowledge of machine learning concepts and frameworks.
  • Familiarity with data governance and compliance standards.

What We Offer

  • A competitive salary of $151,070 per year.
  • Fully remote work environment with flexible hours.
  • Comprehensive health benefits including medical, dental, and vision.
  • Generous paid time off and holiday schedule.
  • Opportunities for professional development and growth.
Why This Job8.5 of 10

This Senior Data Engineer position at Earnest offers a competitive salary and the flexibility of remote work. Join a forward-thinking team focused on data innovation.

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

Who Will Succeed Here

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Proficient in designing and optimizing ETL processes using AWS services such as Glue and Lambda, demonstrating a solid understanding of data warehousing concepts and architecture.

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Highly adaptable in a fully remote environment, possessing the self-discipline to manage time effectively while collaborating with cross-functional teams via tools like Slack and Jira.

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Deep expertise in SQL and NoSQL databases, with a strong ability to write complex queries and optimize database performance, alongside a mindset focused on continuous improvement and data quality assurance.

Learning Resources

→SQL for Data Sciencecourse
→AWS Data Engineeringguide
→Data Warehousing Conceptsarticle

Career Path

Senior Data Engineer(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
35%
Investment
+150%
Labour Demand
+25%
Avg Salary
$135K

Skills & Requirements

Required
SQLNoSQLETL
Growing in Demand
Apache SparkData Lake ArchitectureMachine Learning Integration
Declining
MySQL 5.xDatabase Normalization Techniques

Domain Trends

Rise of Cloud Data Warehousing
The cloud data warehousing market is expected to grow by 20% annually as companies migrate from on-premise solutions to cloud-based platforms.
Increased Focus on Real-time Data Processing
Real-time data processing technologies are projected to increase by 30% in adoption as businesses seek to gain insights faster and improve decision-making processes.
Integration of AI in Data Engineering
AI-driven data engineering tools are on the rise, with 40% of organizations planning to implement AI solutions in their data pipelines by 2025.

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