Talantix.io
Neighborhoods.com•04.03.26
AI SCORE 8.5

Backend Data Engineer - Remote Contract Position

$73K/year
RemoteData Engineering
Python•SQL•PostgreSQL•Amazon S3•Airbyte•Snowflake•dbt•API Design

About the Role

We are seeking a talented Backend Data Engineer to join our team in a remote contract position. As a Backend Data Engineer, you will play a crucial role in designing and implementing data pipelines that support our data-driven decision-making processes. This is a fantastic opportunity to work with cutting-edge technologies and contribute to impactful projects.

What You'll Do

  • Develop and maintain ETL processes to ensure data integrity and availability.
  • Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
  • Utilize tools such as Python, SQL, and PostgreSQL to build robust data pipelines.
  • Implement data storage solutions using Amazon S3, Snowflake, and DBT.
  • Design and optimize APIs for seamless data integration and access.
  • Participate in code reviews and contribute to best practices in data engineering.
  • Work in an agile environment, adapting to changing requirements and priorities.
  • Provide support and troubleshooting for data-related issues, ensuring timely resolution.

Requirements

  • 3+ years of experience as a Backend Data Engineer or similar role.
  • Strong proficiency in Python and SQL.
  • Experience with data warehousing solutions such as Snowflake or similar.
  • Familiarity with ETL tools like Airbyte and DBT.
  • Knowledge of API design and integration.
  • Ability to work independently in a fully remote environment.
  • Excellent communication skills and a collaborative mindset.
  • Experience with cloud platforms, particularly AWS, is a plus.

Nice to Have

  • Experience with additional programming languages such as Java or Kotlin.
  • Familiarity with data visualization tools.
  • Knowledge of Spark for big data processing.

What We Offer

  • Competitive hourly rate of $35/hour USD, with up to 40 hours per week.
  • Expected engagement duration of 6–12 months.
  • Payment via direct deposit.
  • Fully remote work environment, allowing for flexibility and work-life balance.
  • Opportunity to work on innovative projects and enhance your skills.
Why This Job8.5 of 10

This remote Backend Data Engineer position offers competitive pay and the chance to work on innovative data projects. Join a dynamic team and enjoy flexibility.

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

Who Will Succeed Here

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Proficient in building scalable ETL pipelines using Python and dbt, with hands-on experience in data transformation and loading into Snowflake.

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Self-motivated and disciplined, capable of thriving in a remote work environment while effectively managing time and priorities to meet project deadlines.

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Strong analytical mindset with experience in designing APIs for data access, ensuring data integrity and performance optimization, particularly in PostgreSQL and Amazon S3.

Learning Resources

→Python for Data Engineeringcourse
→PostgreSQL Documentationguide
→Building ETL Pipelines with Airbytearticle

Career Path

Backend Data Engineer - Remote Contract Position(Now)→Data Engineer(1-2 years)→Senior Data Engineer(3-5 years)

Market Overview

Market Size 2024
$35B
Annual Growth
12.5%
AI Adoption
45%
Investment
+150%
Labour Demand
+30%
Avg Salary
$120K

Skills & Requirements

Required
PythonSQLPostgreSQL
Growing in Demand
Data EngineeringMachine LearningCloud Data Warehousing
Declining
HadoopMapReduce

Domain Trends

Increased Adoption of Cloud-Based Data Solutions
By 2025, 70% of organizations are expected to migrate to cloud data platforms, increasing demand for skills in AWS, Snowflake, and dbt.
Rise of Real-Time Data Processing
The real-time data processing market is projected to grow by 25% annually, emphasizing the need for backend engineers skilled in API design and data streaming technologies.
Integration of AI in Data Engineering
AI tools are becoming integral in data engineering workflows, with 50% of companies investing in AI-driven data solutions by 2025, pushing for skills in machine learning and data automation.

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