AI SCORE 8.5

Senior Data Engineer - Remote Position

$90K–$120K/year

About the Role

We are seeking a Senior Data Engineer to join our dynamic team in a fully remote capacity. This Senior Data Engineer remote position focuses on building scalable data platforms that process and analyze large volumes of telemetry and operational data, enhancing observability, security, and performance for enterprise clients.

What You'll Do

  • Design, implement, and maintain scalable ETL/streaming pipelines to ingest network telemetry and application logs.
  • Build and optimize data models, tables, and queries for analytics and ML feature stores.
  • Integrate message brokers and streaming systems (Kafka) ensuring high-throughput, low-latency processing with Spark or similar technologies.
  • Collaborate with network engineers and SREs to onboard telemetry sources and ensure data quality.
  • Implement CI/CD for data pipelines, automate deployments, and maintain monitoring and alerting in cloud environments.
  • Troubleshoot production incidents, perform performance tuning, and document runbooks.

Requirements

  • 5+ years of experience in building data pipelines and analytics platforms.
  • Proficient in Python, SQL, Apache Kafka, Apache Spark, AWS, and Linux.
  • Experience operating production streaming and batch systems in a cloud environment.
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.

Nice to Have

  • Familiarity with NetFlow, SNMP, and Terraform.

What We Offer

  • Fully remote work with flexible hours and asynchronous collaboration.
  • Competitive compensation and health benefits.
  • Annual professional development budget.
  • A high-autonomy engineering culture focused on ownership and measurable impact.

Join our fast-moving team that transforms network and operational data into actionable insights. This Senior Data Engineer remote role is perfect for engineers who enjoy building robust data infrastructure and collaborating cross-functionally with networking and SRE teams.

Why This Job8.5 of 10

This Senior Data Engineer remote position offers an exciting opportunity to work with cutting-edge technologies in a flexible environment. Join a team focused on impactful data solutions.

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

About Enterprise Resource Technologies

Explore exciting career opportunities at Enterprise Resource Technologies in 2026. Discover remote, hybrid, and office roles tailored to your skills. Utilize advanced filters, application tracking, and company insights to find your ideal position. Stay updated with industry news and vacancy scores to enhance your job search. Join us and take the next step in your career with Enterprise Resource Technologies today!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficiency in Python and SQL for developing robust data pipelines and performing complex data transformations, with a focus on libraries such as Pandas and NumPy.

Strong experience with Apache Kafka and Apache Spark for real-time data processing and stream processing, showcasing the ability to handle high-throughput data ingestion and processing tasks.

Hands-on experience with AWS services (such as S3, Lambda, and Redshift) and Linux environments, demonstrating a solid understanding of cloud infrastructure and command-line tools for data management.

Learning Resources

Learn Python for Data Sciencecourse

Career Path

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

Market Overview

Market Size 2024
$23.5B
Annual Growth
12.8%
AI Adoption in Data Engineering
45%
Investment in Data Infrastructure
+60%
Labour Demand for Data Engineers
+30%
Avg Salary for Senior Data Engineers
$135K

Skills & Requirements

Required
PythonSQLApache Kafka
Growing in Demand
Machine LearningData Visualization (Tableau, Power BI)Cloud Data Warehousing (Snowflake, Google BigQuery)
Declining
HadoopMapReduce

Domain Trends

Increased Adoption of Real-Time Data Processing
With 60% of organizations prioritizing real-time analytics, skills in Apache Kafka and Spark are becoming essential.
Shift Towards Serverless Architectures
Over 50% of new data engineering projects are moving towards serverless solutions on AWS, emphasizing the need for AWS Lambda and related services.
Growing Importance of Data Privacy Regulations
As 70% of companies face compliance challenges, knowledge in data governance and security frameworks is increasingly important for data engineers.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.