Hirenza10.02.26
AI SCORE 8.2

Data Engineer - Remote Training Opportunity

$50K–$60K/year

About the Role

We are excited to announce a unique opportunity for aspiring Data Engineers to join our team remotely. As a Data Engineer, you will undergo comprehensive training, gaining hands-on experience with cutting-edge technologies and tools used in data management and analysis. This role is perfect for individuals looking to break into the tech industry or elevate their existing technical skills in data engineering.

What You'll Do

  • Participate in a 3-4 month intensive training program focused on developing core technical skills necessary for data engineering.
  • Master relational and non-relational databases, APIs, and programming languages such as Python, Pandas, and SQL.
  • Build and optimize data pipelines using tools like Kafka, Airflow, and Apache Spark.
  • Work on real-world client projects, applying your skills to solve practical data challenges.
  • Receive mentorship from senior engineers to guide your technical development and professional growth.
  • Contribute to data solutions that support organizational decision-making.
  • Engage in continuous learning and collaboration with cross-functional teams.

Requirements

  • A bachelor’s degree in a STEM discipline or equivalent professional experience.
  • A minimum of six months of programming experience in languages such as Python, Java, SQL, C, C#, JavaScript, or R.
  • Strong logical reasoning and effective communication skills.
  • A willingness to relocate anywhere within the continental United States.
  • Legal authorization to work in the U.S. without the need for current or future visa sponsorship.

Nice to Have

  • Experience in industries like finance, healthcare, insurance, or technology.
  • Familiarity with machine learning concepts.
  • Prior experience working on data-related projects.

What We Offer

  • Paid training at $600 per week during the initial training period.
  • Relocation assistance of up to $2,500 to facilitate your move.
  • Hourly pay rate of $24.04 to $28.85, depending on the assigned location.
  • Comprehensive health coverage, including health, vision, and dental insurance.
  • Participation in a 401(k) retirement plan and paid time off.
  • Ongoing support through a dedicated manager for career advancement opportunities.
Why This Job8.2 of 10

This Data Engineer role offers a unique remote training opportunity with competitive pay and relocation support. Ideal for aspiring tech professionals.

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

About Hirenza

Explore Hirenza careers in 2026 and discover exciting job opportunities across remote, hybrid, and office roles. Use our advanced filters to refine your search, track your applications, and gain valuable company insights. Stay updated with industry news and tailor your resume to match Hirenza positions, ensuring you find the perfect fit for your career aspirations at Hirenza. Start your journey today!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficiency in Python for data manipulation and transformation, with hands-on experience in libraries such as Pandas and NumPy, to efficiently handle data processing tasks.

Strong understanding of SQL for querying and managing relational databases, with practical experience in writing complex queries to extract and analyze data.

Adaptability to remote work environments, demonstrating self-motivation and discipline, while effectively utilizing collaboration tools like Slack and Zoom to engage with team members during training.

Learning Resources

Python for Data Science Handbookguide

Career Path

Data Engineer - Remote Training Opportunity(Now)Data Engineer(1-2 years)Senior Data Engineer(3-5 years)

Market Overview

Market Size 2024
$16.2B
Annual Growth
22.5%
AI Adoption in Data Engineering
65%
Investment in Data Infrastructure
+150%
Labour Demand for Data Engineers
+30%
Avg Salary for Junior Data Engineers
$85K

Skills & Requirements

Required
PythonSQLData Pipelines
Growing in Demand
Machine Learning with PythonData Visualization (e.g., Tableau, Power BI)Cloud Data Services (e.g., AWS, Azure)
Declining
Hadoop MapReducejQuery

Domain Trends

Rise of Real-Time Data Processing
With 70% of organizations prioritizing real-time analytics, technologies like Kafka and Apache Spark are becoming essential for data engineers.
Increased Focus on Data Governance
Over 60% of companies are investing in data governance frameworks, leading to a demand for data engineers skilled in compliance and data quality.
Shift to Serverless Architectures
The adoption of serverless computing has increased by 40%, prompting data engineers to adapt their skills to work with serverless data processing solutions.

Industry News

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