Hydrosat28.01.26
AI SCORE 8.5

Senior Data Engineer - Remote Position at Hydrosat

$120K–$150K/year
RemoteSpaceTechWWVisaRelocation

About the Role

We are seeking a Senior Data Engineer to join our innovative team at Hydrosat, a pioneering space and data analytics company. This Senior Data Engineer remote position offers you the opportunity to design and implement state-of-the-art data pipelines that will revolutionize the way we utilize thermal infrared imagery. You will be part of a dynamic, mission-driven startup environment that values creativity and collaboration.

What You'll Do

  • Design and implement cloud-native data pipelines using modern technologies.
  • Optimize performance and scalability of existing data pipelines.
  • Deploy and maintain cloud infrastructure on AWS.
  • Mentor junior data engineers and conduct code reviews.
  • Collaborate with Data Scientists to bring scientific models into production.

Requirements

  • 5+ years of experience in Data Engineering or Cloud Engineering.
  • Proficiency in designing scalable and maintainable data pipelines.
  • Experience deploying workloads on Kubernetes clusters.
  • Strong knowledge of Apache Airflow.
  • Proficiency in Python and the Python data stack.

Nice to Have

  • Expertise with AWS cloud services.
  • Understanding of MLOps best practices.
  • Experience in Earth observation or computer vision fields.

What We Offer

  • Competitive compensation package.
  • Stock options to share in Hydrosat’s long-term success.
  • Fast-moving, mission-driven startup environment.
  • Hybrid work model with flexibility.
  • EU visa sponsorship available when required.
  • Attractive Luxembourg tax advantages for relocators.
  • Meal vouchers included.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Engineer role at Hydrosat offers a unique opportunity to work remotely while contributing to groundbreaking projects in space and data analytics. Enjoy competitive compensation and stock options in a fast-paced startup environment.

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

About Hydrosat

Explore Hydrosat careers in 2026 and discover exciting job opportunities across remote, hybrid, and office roles. Our platform offers advanced filters, application tracking, and valuable company insights to help you find the perfect position at Hydrosat. Stay informed with the latest industry news and tailor your resume for success. Begin your journey towards a rewarding career with Hydrosat today!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in building scalable data pipelines using Apache Airflow and AWS services, demonstrating a strong understanding of ETL processes and MLOps best practices.

Self-motivated and disciplined to thrive in a fully remote work environment, effectively managing time and project deliverables while collaborating with cross-functional teams.

Possesses a deep analytical mindset with extensive experience in Python for data manipulation and analytics, enabling the design of innovative solutions that leverage thermal infrared imagery.

Learning Resources

Data Engineering on Google Cloudcourse

Career Path

Senior Data Engineer - Hydrosat(Now)Lead Data Engineer or Data Architect(1-2 years)Director of Data Engineering or Chief Data Officer(3-5 years)

Market Overview

Market Size 2024
$25B
Annual Growth
22.5%
AI Adoption
45%
Investment
+35%
Labour Demand
+30%
Avg Salary
$140K

Skills & Requirements

Required
Data EngineeringAWSKubernetes
Growing in Demand
Machine LearningData Visualization (e.g., Tableau)Cloud Data Warehousing (e.g., Snowflake)
Declining
Hadoop MapReduceSQL Server Integration Services (SSIS)

Domain Trends

Increased Adoption of Cloud Data Solutions
Over 60% of organizations are migrating to cloud-based data solutions, leading to increased demand for Data Engineers skilled in AWS and Azure.
Integration of MLOps in Data Engineering
MLOps practices are being adopted by 50% of data teams to streamline model deployment and monitoring, creating a need for engineers proficient in MLOps.
Rise of Real-Time Data Processing
Real-time data processing is growing at a rate of 30% annually, driving the demand for Data Engineers experienced in Apache Kafka and stream processing technologies.

Industry News

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