Talantix.io
Precision Technologies•10.02.26
AI SCORE 8.5

Senior Data Engineer - Remote Opportunities Available

$140K–$180K/year
RemoteSoftware DevelopmentRelocation
Data Engineering•ETL•AWS•Azure•GCP•Spark•Python•SQL•Kafka•Snowflake

About the Role

We’re looking for an experienced Senior Data Engineer to join our client projects across diverse domains - finance, healthcare, retail, and cloud-based ecosystems. This Senior Data Engineer remote position involves designing, building, and optimizing large-scale data processing systems, ensuring data availability and integrity across platforms.

What You'll Do

  • Architect, build, and maintain scalable data pipelines and ETL processes using modern tools and cloud technologies.
  • Develop and deploy data ingestion frameworks for structured and unstructured data sources.
  • Collaborate closely with data scientists, analysts, and DevOps teams to design efficient data models and ensure seamless integrations.
  • Optimize performance of large-scale data lakes and warehouses.
  • Implement data governance, lineage, and quality frameworks.
  • Lead and mentor junior data engineers and ensure best practices in data engineering.

Requirements

  • 8+ years of hands-on experience in data engineering, ETL development, and pipeline automation.
  • Strong expertise in at least one cloud platform - AWS, Azure, or GCP.
  • Hands-on with Spark, PySpark, Databricks, Kafka, Snowflake, Airflow, SQL, and Python.
  • Experience with data warehousing (Redshift, BigQuery, Synapse, etc.) and streaming technologies.
  • Solid understanding of data modeling, orchestration, and performance tuning.
  • Excellent communication skills and ability to work in collaborative, cross-functional teams.

Nice to Have

  • Experience in data modernization or migration projects.
  • Familiarity with CI/CD pipelines and containerization (Docker/Kubernetes).

What We Offer

  • Competitive salary ranging from $140,000 to $180,000 annually.
  • Comprehensive relocation support for those looking to move.
  • Opportunities for professional development and growth.
  • Flexible working arrangements, including remote work options.
  • Collaborative and innovative work environment.
Why This Job8.5 of 10

This Senior Data Engineer position at Precision Technologies offers an exciting opportunity to work on diverse projects remotely, with competitive salary and relocation support.

Salary Range
Required
0/1
Optional
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Bonus
0/1

About Precision Technologies

Explore Precision Technologies careers in 2026 and discover exciting job openings across remote, hybrid, and office roles. Utilize our advanced filters to refine your search, tailor your resume, and track your applications seamlessly. Gain valuable insights into company culture and career opportunities at Precision Technologies. Start your journey towards a fulfilling career today and unlock your potential with us!

Industry
Tech
Location
Remote

Who Will Succeed Here

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Proficiency in AWS, Azure, and GCP for cloud data solutions, with hands-on experience in managing ETL processes using tools like Apache Spark and Snowflake.

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Self-motivated and proactive work style suited for remote environments, demonstrating strong time management skills to meet project deadlines independently.

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Extensive experience in data modeling and SQL optimization, with a mindset focused on data integrity and performance tuning for large-scale data systems.

Learning Resources

→Data Engineering on Google Cloudcourse
→Building Data Pipelines with Apache Kafkacourse
→AWS Data Engineering Documentationguide

Career Path

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

Market Overview

Market Size 2024
$20.5B
Annual Growth
24.5%
AI Adoption
60%
Investment
+150%
Labour Demand
+30%
Avg Salary
$130K

Skills & Requirements

Required
Data EngineeringETLAWS
Growing in Demand
Machine LearningData Visualization (Tableau, Power BI)Data Governance
Declining
HadoopTraditional ETL Tools (Informatica, Talend)

Domain Trends

Increased Adoption of Cloud Data Warehousing
The shift towards cloud-based data storage solutions is accelerating, with 70% of organizations planning to increase their cloud data warehousing investments in 2024.
Integration of AI and Machine Learning
Data engineering roles are increasingly incorporating AI and ML, with over 50% of companies reporting the need for data engineers to have machine learning skills to enhance data processing.
Rise of Real-Time Data Processing
There is a growing demand for real-time data processing capabilities, with 65% of businesses indicating that they are investing in technologies like Kafka and Spark to enable real-time analytics.

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