Talantix.io
Precision Technologies•02.02.26
AI SCORE 8.5

Senior Data Engineer - Remote Opportunity with Relocation Support

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

About the Role

We’re looking for an experienced Senior Data Engineer to join our client projects across diverse domains such as finance, healthcare, retail, and cloud-based ecosystems. This Senior Data Engineer remote role 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.
  • Work 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 range of $140,000 - $180,000 annually.
  • Comprehensive relocation support to help you move and settle in your new role.
  • Flexible remote work options.
  • Opportunities for professional growth and development.
  • Collaborative and innovative work environment.
Why This Job8.5 of 10

This Senior Data Engineer position offers a strong salary, remote work flexibility, and comprehensive relocation support, making it an attractive opportunity for experienced professionals.

Salary Range
Required
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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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Proficient in designing and optimizing ETL processes using tools like Apache Spark and Databricks, with hands-on experience in cloud platforms such as AWS, Azure, and GCP to ensure scalable data infrastructure.

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Ability to work independently in a remote setting while collaborating effectively with cross-functional teams across diverse domains like finance and healthcare, demonstrating adaptability to various industry requirements.

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Deep understanding of data governance and integrity principles, coupled with experience in implementing real-time data streaming solutions using Kafka and managing data warehousing solutions with Snowflake.

Learning Resources

→Data Engineering on Google Cloudcourse
→Getting Started with Apache Sparkguide
→Building Data Pipelines with Pythoncourse

Career Path

Senior Data Engineer(Now)→Lead Data Engineer or Data Architect(2-4 years)→Director of Data Engineering(5-7 years)

Market Overview

Market Size 2024
$12.5B
Annual Growth
22.3%
AI Adoption
45%
Investment
+35%
Labour Demand
+30%
Avg Salary
$135K

Skills & Requirements

Required
Data EngineeringETLAWS
Growing in Demand
Machine LearningData Visualization (Tableau, Power BI)DataOps
Declining
HadoopTraditional Data Warehousing

Domain Trends

Increased Demand for Real-Time Data Processing
With 70% of organizations prioritizing real-time analytics, skills in Kafka and Spark are becoming essential for data engineers.
Rise of Serverless Architectures
Around 50% of companies are adopting serverless computing on platforms like AWS and Azure, leading to a shift in data engineering practices.
Emphasis on Data Quality and Governance
60% of enterprises are investing in data quality tools, making skills in DataOps and data governance increasingly valuable.

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