Blue Coding01.02.26
AI SCORE 8.5

Senior Data Engineer - Remote Opportunity with Blue Coding

$90K–$120K/year

About the Role

We're hiring a Senior Data Engineer to join our dynamic team at Blue Coding. This fully remote position offers the chance to work with cutting-edge technologies and collaborate with a diverse group of professionals across LATAM. As a Senior Data Engineer, you will play a crucial role in developing and maintaining data systems that drive decision-making for our clients in the insurance sector.

What You'll Do

  • Design, develop, and maintain data pipelines and data stores that support enterprise data science, analytics, and operations.
  • Identify, track, and analyze the performance of data layer services, implementing solutions to enhance stability and efficiency.
  • Collaborate with peers across the Research and Technology organization to deliver best-in-class data solutions.
  • Support critical end-to-end data pipelines written in Python or Scala.
  • Work within the Agile framework to design data pipelines, build database models, and process data using various methods.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or a related field.
  • Experience with Python programming and building applications from scratch.
  • Proficiency in working with structured (SQL) and unstructured (NoSQL) data environments.
  • Familiarity with data visualization tools such as Power BI and Tableau.
  • Experience with AWS technologies (e.g., S3, EMR, Lambda, Kinesis).
  • Strong communication skills and a self-motivated attitude.
  • Excellent time management skills and the ability to work independently.

Nice to Have

  • Experience in the insurance industry or related fields.
  • Knowledge of data engineering best practices.

What We Offer

  • Competitive salary in USD.
  • Flexible schedule within US time zones.
  • 100% remote work environment.
  • Opportunity to work with a diverse and talented team.
  • Access to continuous learning and professional development resources.
Why This Job8.5 of 10

This Senior Data Engineer position at Blue Coding offers a competitive salary and the flexibility to work remotely while collaborating with a talented team in the insurance tech industry.

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

About Blue Coding

Explore Blue Coding careers in 2026 and discover exciting job openings in remote, hybrid, and office settings. Utilize advanced filters to refine your search, track your applications seamlessly, and gain valuable company insights to enhance your job hunt. Whether you're looking for a coding position or other roles, find the perfect opportunity at Blue Coding and elevate your career today.

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in Python and SQL with a strong understanding of data pipeline architecture, enabling effective data extraction, transformation, and loading (ETL) processes in cloud environments like AWS.

Self-motivated and disciplined in a remote work setting, demonstrating the ability to manage time effectively, prioritize tasks, and maintain high productivity without direct supervision.

Experience with NoSQL databases (e.g., MongoDB, DynamoDB) and data visualization tools (e.g., Tableau, Power BI), showcasing a mindset geared towards leveraging diverse data technologies to enhance data-driven decision-making.

Learning Resources

Python for Data Engineeringcourse

Career Path

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

Market Overview

Market Size 2024
$15.7B
Annual Growth
11.3%
AI Adoption
40%
Investment
+150%
Labour Demand
+25%
Avg Salary
$120K

Skills & Requirements

Required
PythonSQLNoSQL
Growing in Demand
Machine LearningApache SparkData Warehousing
Declining
HadoopTraditional ETL Tools

Domain Trends

Rise of Real-Time Data Processing
With 60% of organizations moving towards real-time data processing, skills in streaming technologies like Apache Kafka are becoming essential.
Increased Focus on Data Privacy
As data regulations tighten, 55% of companies are prioritizing data governance and privacy, making knowledge of compliance frameworks critical for data engineers.
Integration of AI in Data Engineering
AI tools in data engineering are expected to grow by 35% in the next two years, emphasizing the need for engineers to be proficient in machine learning frameworks alongside traditional data skills.

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