Lumin Digital05.03.26
AI SCORE 8.5

Remote Data Conversion Engineer - Technical Banking Solutions

$90K–$120K/year

About the Role

We are seeking a Remote Data Conversion Engineer to join our innovative team at Lumin Digital. In this role, you will be responsible for converting online banking data for new clients into the Lumin Digital platform. This position offers a unique opportunity to work closely with clients and internal teams, providing technical consultation from implementation kickoff through production launch. As a Remote Data Conversion Engineer, you will play a crucial role in ensuring the accuracy and scalability of our banking solutions.

What You'll Do

  • Map, load, validate, and test data received in various file formats.
  • Collaborate with clients to resolve any data-related issues effectively.
  • Work closely with development, services, product, and support teams in cross-functional initiatives.
  • Perform technical configurations of the Lumin Digital banking product.
  • Load, validate, and troubleshoot data received from external vendors.
  • Ensure successful client launches by maintaining high standards of data accuracy.

Requirements

  • Strong technical foundation in data management and conversion processes.
  • Excellent analytical and troubleshooting skills.
  • Ability to communicate complex technical concepts effectively in a client-facing environment.
  • Experience with online banking systems or financial technology is a plus.
  • Proficiency in data mapping and validation techniques.

Nice to Have

  • Familiarity with various data file formats.
  • Experience in a client-facing technical role.
  • Knowledge of banking regulations and compliance standards.

What We Offer

  • Competitive salary ranging from $90,000 to $120,000 per year.
  • Fully remote work environment with flexible hours.
  • Opportunities for professional development and career growth.
  • Collaborative team culture with a focus on innovation.
  • Comprehensive benefits package including health, dental, and vision insurance.
Why This Job8.5 of 10

This Remote Data Conversion Engineer position at Lumin Digital offers a competitive salary and the flexibility of remote work, making it an attractive opportunity for professionals in the FinTech industry.

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

Who Will Succeed Here

Proficiency in data mapping techniques using tools like Talend or Apache NiFi, with a strong understanding of data transformation processes relevant to banking applications.

Strong analytical and troubleshooting skills, capable of quickly diagnosing and resolving data validation issues in a remote work environment, while maintaining clear and proactive communication with clients.

Experience in technical configuration of banking software systems, demonstrating a mindset geared towards continuous improvement and innovation in client solutions.

Learning Resources

Data Mapping and Transformation Guideguide

Career Path

Remote Data Conversion Engineer - Technical Banking Solutions(Now)Data Solutions Architect(1-2 years)Lead Data Engineer(3-5 years)

Market Overview

Market Size 2024
$5.2B
Annual Growth
12.5%
AI Adoption in Data Mapping
45%
Investment in Data Solutions
+30%
Labour Demand for Data Engineers
+20%
Avg Salary for Data Conversion Engineer
$95K

Skills & Requirements

Required
Data MappingData ValidationTechnical Configuration
Growing in Demand
ETL Tools (e.g., Talend, Apache Nifi)Data Quality ManagementCloud Data Integration (e.g., AWS Glue, Azure Data Factory)
Declining
Manual Data EntryLegacy Data Migration Tools (e.g., Informatica PowerCenter)

Domain Trends

Rise of Automated Data Mapping
Automated data mapping tools are expected to grow by 40% in adoption by 2025, reducing manual effort and increasing accuracy.
Integration with AI for Data Validation
AI-driven data validation processes are projected to enhance accuracy by 30%, leading to increased demand for engineers skilled in AI applications.
Shift Towards Cloud-Based Data Solutions
Cloud data solutions are anticipated to account for 70% of the data mapping market by 2025, necessitating skills in cloud platforms for data engineers.

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