AI SCORE 8.5

Senior Data Engineer - Data Platform & Quality

$90K–$120K/year

About the Role

We are hiring a Senior Data Engineer to join our dynamic team at Blue Bridge People. This is a 100% remote contract role, perfect for candidates looking to work on a modern, cloud-based data platform. As a Senior Data Engineer, you will play a crucial role in building and maintaining high-quality data ingestion pipelines, enabling Data-as-a-Service capabilities, and ensuring data quality and reliability across the platform.

What You'll Do

  • Design, build, and maintain scalable data ingestion and processing pipelines using AWS-native services.
  • Develop and manage data workflows leveraging YAML-based configurations.
  • Ensure data quality, validation, and reliability across the data platform.
  • Support and enhance a Data-as-a-Service architecture consumed by downstream applications and analytics teams.
  • Implement and maintain ETL workflows using AWS Glue and related services.
  • Monitor and improve system performance, observability, and reliability using tools such as Datadog.
  • Lead technical efforts, mentor junior engineers, and contribute to architectural decisions.
  • Contribute to platform expansion initiatives, including future adoption of Databricks.

Requirements

  • Strong experience as a Data Engineer working on production-grade data platforms.
  • Proficiency in Python for data engineering and automation.
  • Hands-on experience with AWS cloud-based architectures, including S3 and Parquet file formats.
  • Solid understanding of data quality frameworks, testing strategies, and validation practices.
  • Testing expertise using tools such as Selenium, Cucumber, and Postman.
  • Experience with version control and collaboration using GitHub.
  • Prior technical leadership experience, including leading initiatives or mentoring engineers.

Nice to Have

  • Experience with Databricks or interest in expanding the platform into Databricks-based solutions.
  • Knowledge of Cypress for test automation.
  • Strong SQL skills for data analysis and validation.
  • Experience with CI/CD pipelines and automated testing in data environments.
  • Familiarity with synthetic data generation techniques.

What We Offer

  • 100% remote work flexibility.
  • Visa sponsorship available.
  • Competitive salary based on experience.
  • Opportunity to work with cutting-edge technologies.
  • Supportive team environment with opportunities for growth.
  • Access to exclusive remote job opportunities in Data Science.
  • Mentorship and professional development.
  • Work-life balance with flexible working hours.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Engineer role offers a unique opportunity to work remotely on a modern data platform with a competitive salary and visa sponsorship. Join a supportive team and contribute to innovative data solutions.

Salary Range
Required
0/1
Optional
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Bonus
0/1

About Blue Bridge People

Explore Blue Bridge People careers in 2026 and discover exciting job openings in remote, hybrid, and office roles. Utilize our advanced filters to tailor your search, track your applications, and gain valuable insights into company culture and opportunities. Find your perfect fit with Blue Bridge People and take the next step in your career today!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in Python and experienced with AWS services such as S3 and Glue for building scalable data ingestion pipelines, demonstrating a strong understanding of cloud architecture.

Self-motivated and disciplined, thriving in a fully remote work environment, capable of managing time effectively while collaborating asynchronously with cross-functional teams.

Analytical mindset with hands-on experience in data quality frameworks, utilizing tools like Selenium for automated testing and Postman for API testing to ensure data integrity.

Learning Resources

Python for Data Science Handbookguide

Career Path

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

Market Overview

Market Size 2024
$12.5B
Annual Growth
11.2%
AI Adoption
67%
Investment
+45%
Labour Demand
+30%
Avg Salary
$130K

Skills & Requirements

Required
PythonAWSS3
Growing in Demand
Apache SparkMachine LearningData Warehousing
Declining
HadoopMapReduce

Domain Trends

Increased Cloud Adoption
By 2025, 90% of organizations will leverage cloud services for data management, leading to a surge in demand for cloud-based data engineering roles.
Focus on Data Quality
Over 80% of companies are prioritizing data quality initiatives, which enhances the need for data engineers skilled in data validation and quality assurance tools.
Rise of No-Code/Low-Code Platforms
The adoption of no-code/low-code platforms is expected to grow by 40% in the next three years, impacting traditional data engineering workflows and requiring engineers to adapt.

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