Back-End Developer

Filled
January 12, 2026
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Job Description

Job Details

  • Company Name: Nestor Technologies.
  • Employment type: Full time
  • Experience: Contractor
  • Salary: $40 to $65 Hourly
  • Location : Remote Option Available
  • Work schedule : 5 days a week

Job Overview

We are seeking a skilled Data Developer with strong experience in ETL/ELT pipeline design and implementation to support data integration, migration, and transformation initiatives. This role requires hands-on expertise with cloud-based and on-premise data solutions, strong SQL and Python skills, and experience working with spatial and geospatial data sources.

The ideal candidate is analytical, detail-oriented, and capable of building reliable, scalable data pipelines while collaborating closely with business and technical stakeholders.

Key Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines to extract, transform, and load data into databases and data warehouses.
  • Collaborate with stakeholders to understand data requirements and translate them into technical ETL solutions.
  • Implement data integration solutions using cloud platforms (AWS, Azure, GCP) and on-premise tools (Apache NiFi, Talend, Informatica, custom scripts).
  • Optimize workflows for performance, scalability, and reliability based on data volume and complexity.
  • Ensure data quality and integrity through validation, error handling, and monitoring mechanisms.
  • Monitor ETL jobs, troubleshoot failures, and perform debugging and performance tuning.
  • Maintain clear documentation for data mappings, processes, and system configurations.
  • Stay current with industry trends, tools, and best practices in data engineering.

Skills

Candidates must meet all of the following requirements:

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Proven experience as an ETL Developer / Data Engineer or in a similar role.
  • Strong proficiency in SQL and relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
  • Hands-on experience with ETL/ELT tools and frameworks, including:
    • Cloud-based: AWS Glue, Azure Data Factory, Google Cloud Dataflow
    • On-premise: Apache NiFi, Talend, Informatica
  • Strong Python programming skills for scripting, automation, and data manipulation.
  • Experience with spatial and geospatial data using tools such as PostGIS, GeoPandas, ArcGIS.
  • Solid understanding of GIS concepts and spatial data formats (Shapefiles, GeoJSON, etc.).
  • Knowledge of data warehousing concepts, dimensional modeling, and integration patterns.
  • Understanding of cloud computing fundamentals (storage, compute, networking).
  • Strong analytical and troubleshooting skills.
  • Excellent communication and collaboration abilities.