AI SCORE 8.5

Senior Data Engineer - Remote Position

$140K–$180K/year

About the Role

We are looking for a Senior Data Engineer remote to join our team at JPS Tech Solutions. In this role, you will design, build, and deploy scalable data pipelines and backend data services that support analytics and business intelligence. With over 12 years of hands-on experience in data engineering, you will leverage your expertise in Snowflake data modeling and modern data engineering practices to create reliable, high-performance data platforms.

What You'll Do

  • Design, develop, and deploy end-to-end data pipelines for large-scale data processing.
  • Build and maintain backend data services and APIs to support data consumption.
  • Perform Snowflake data modeling, including schema design, optimization, and performance tuning.
  • Implement ELT/ETL processes for structured and semi-structured data sources.
  • Optimize data storage, query performance, and cost efficiency in Snowflake.
  • Ensure data quality, reliability, security, and governance across all pipelines.
  • Collaborate with Data Scientists, Analysts, and business stakeholders to understand and meet data needs.
  • Implement monitoring, logging, and alerting for data pipelines to ensure reliability.
  • Support CI/CD pipelines for efficient and consistent data engineering deployments.
  • Document data flows, architecture, and best practices to support team knowledge sharing.

Requirements

  • 12+ years of experience in Data Engineering or related roles.
  • Strong hands-on experience with Snowflake, including data modeling, performance tuning, and security.
  • Expert-level SQL skills and experience with data transformation techniques.
  • Proficiency in Python and/or Java for backend data processing.
  • Proven experience building scalable ETL/ELT pipelines.
  • Knowledge of data orchestration tools such as Airflow, Azure Data Factory, or equivalent.
  • Experience with cloud platforms (AWS, Azure, or GCP) for data solutions.
  • Familiarity with CI/CD pipelines, Git, and DevOps practices.
  • Strong problem-solving, analytical, and communication skills.

Nice To Have

  • Experience with streaming data technologies (Kafka, Kinesis).
  • Exposure to dbt or other modern transformation frameworks.
  • Background in large-scale enterprise or regulated environments.
  • Knowledge of data governance and metadata management tools.

What We Offer

  • Competitive salary ranging from $140,000 to $180,000 per year.
  • Remote work flexibility, allowing you to work from anywhere in the United States.
  • Opportunities for professional growth and development.
  • Collaborative and innovative team environment.
  • Health and wellness benefits.
Why This Job8.5 of 10

This Senior Data Engineer remote position offers a competitive salary and the opportunity to work with cutting-edge technologies in a flexible environment.

Salary Range
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Bonus
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About JPS Tech Solutions

Explore exciting career opportunities at JPS Tech Solutions in 2026. Discover a range of remote, hybrid, and office roles tailored to fit your skills. Utilize our advanced filters, application tracking, and company insights to streamline your job search. Stay updated with industry news and find the perfect position at JPS Tech Solutions that aligns with your career goals. Your future begins here!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in building and optimizing data pipelines using Snowflake and Python, with a strong understanding of SQL for complex data queries and transformations.

Self-motivated and disciplined, capable of working independently in a remote environment while managing multiple projects and deadlines effectively.

Deep understanding of cloud platforms including AWS, Azure, and GCP, with hands-on experience in deploying ETL processes using Airflow for orchestrating data workflows.

Learning Resources

Snowflake Documentationguide

Career Path

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

Market Overview

Market Size 2024
$6.5B
Annual Growth
22.5%
AI Adoption in Data Engineering
45%
Investment in Snowflake Ecosystem
+35%
Labour Demand for Data Engineers
+30%
Avg Salary for Senior Data Engineers
$140K

Skills & Requirements

Required
SnowflakeSQLPython
Growing in Demand
Data WarehousingDataOpsMachine Learning
Declining
Traditional ETL Tools (e.g., Informatica)On-Premise Data Solutions

Domain Trends

Increased Adoption of Cloud Data Platforms
By 2025, 70% of organizations are expected to migrate to cloud-based data platforms, with Snowflake leading the charge.
Rise of Real-Time Data Processing
Real-time data processing adoption is projected to grow by 40% in the next two years, driven by the need for instant insights.
Integration of AI and Machine Learning in Data Engineering
Over 50% of data engineering teams are incorporating AI tools, with a significant focus on automating ETL processes and data quality checks.

Industry News

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