---
title: Remote ETL Developer at Bright Vision Technologies
description: Bright Vision Technologies is hiring for the ETL Developer role. Pays $115K–$175K
  per year. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/etl-developer-at-bright-vision-technologies-01a0cf40-8183-7914-a98e-e86b4b125749
date: 2026-09-28T03:37:20Z
og_description: Join Bright Vision Technologies as ETL Developer. Pays $115K–$175K per year. Full-time,
  remote role.
og_image: https://www.foundrole.com/og/zseu2s.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
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    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | Bright Vision Technologies |
| **Location** | Remote |
| **Salary** | $115K/yr - $175K/yr |
| **Type** | Full Time |
| **Posted** | Sep 23, 2026 |

## Remote check

**Fully remote: passed our check.** The role itself is remote, with no recurring office days, travel under 10%, no on-site duties and no end date on the remote setup.

- "Location: 100% Remote (U.S.)"
- "ETL Developer – Remote"

**Where you can work from:** United States
## Description

**ETL Developer – Remote**  

**Bright Vision Technologies** is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.  

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.  

**Job Title:** ETL Developer  
**Location:** 100% Remote (U.S.)  
**Position Type:** Full-time, Direct W2  
**Salary Range:** $115,000–$175,000 Annually  
**Experience Required:** 5+ years  

**Sponsorship:** U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.  

**Job Summary**  
We are seeking an experienced **ETL Developer** to design, develop, and optimize enterprise-scale data integration solutions supporting business intelligence, analytics, regulatory reporting, and cloud data modernization initiatives. This role focuses on building high-performance ETL pipelines that ingest, transform, validate, and deliver data from diverse operational systems into enterprise data warehouses and cloud-based analytics platforms.  
You will collaborate with data architects, data engineers, business analysts, cloud engineers, and BI developers to develop scalable data integration frameworks, automate complex workflows, and ensure the delivery of high-quality, trusted data across the organization. The ideal candidate combines strong ETL development expertise with advanced SQL skills, cloud data platform experience, and a deep understanding of data warehousing and enterprise data governance.  

**Key Responsibilities**

- Design, develop, and maintain enterprise ETL/ELT pipelines for large-scale data integration projects.
- Build scalable data ingestion workflows that extract data from relational databases, cloud applications, APIs, flat files, and enterprise systems.
- Develop transformation logic for cleansing, standardizing, validating, and enriching large datasets.
- Design and optimize batch and near real-time data processing pipelines supporting business-critical reporting and analytics.
- Implement Slowly Changing Dimensions (SCD), Change Data Capture (CDC), incremental loading strategies, and data reconciliation processes.
- Develop reusable ETL frameworks, metadata-driven workflows, and parameterized jobs to improve maintainability.
- Perform source-to-target mapping, data profiling, and data quality analysis during project implementation.
- Optimize ETL job performance by improving SQL queries, partitioning strategies, indexing, and parallel processing.
- Monitor ETL workflows, troubleshoot production failures, and implement proactive alerting and recovery mechanisms.
- Collaborate with cloud engineers to migrate legacy ETL workloads to Azure or AWS cloud platforms.
- Participate in data architecture discussions, code reviews, deployment planning, and production support.
- Ensure data security, governance, auditability, and regulatory compliance across enterprise data pipelines.

**Required Skills**

- Five or more years of professional experience developing enterprise ETL solutions.
- Strong hands-on experience with ETL platforms such as Informatica PowerCenter, SSIS, Talend, IBM DataStage, or Pentaho.
- Advanced SQL development skills with SQL Server, Oracle, PostgreSQL, Snowflake, or Teradata.
- Strong understanding of relational databases, dimensional modeling, star schema, snowflake schema, and data warehousing principles.
- Experience designing ETL workflows involving complex transformations, joins, aggregations, lookups, and data validation.
- Hands-on experience implementing Change Data Capture (CDC), Slowly Changing Dimensions (SCD Type 1 & Type 2), and incremental loading techniques.
- Experience working with cloud data platforms including Azure Data Factory (ADF), AWS Glue, or Google Cloud Data Fusion.
- Experience integrating structured and semi-structured data formats including JSON, XML, CSV, Parquet, and Avro.
- Familiarity with scripting languages such as Python, PowerShell, or Shell scripting for ETL automation.
- Experience scheduling workflows using Control-M, Autosys, Apache Airflow, Azure Data Factory, or enterprise schedulers.
- Experience with Git, Azure DevOps, Jenkins, or other CI/CD tools for ETL deployments.
- Strong debugging, troubleshooting, and ETL performance tuning skills.
- Experience working with Agile Scrum teams and enterprise SDLC processes.

**Preferred Qualifications**

- Experience with cloud data warehouses including Snowflake, Azure Synapse Analytics, Amazon Redshift, or Google BigQuery.
- Knowledge of Apache Spark, Databricks, PySpark, or distributed data processing frameworks.
- Experience implementing enterprise Master Data Management (MDM) and Data Quality solutions.
- Familiarity with streaming technologies including Apache Kafka, Azure Event Hub, or Amazon Kinesis.
- Experience developing metadata-driven ETL frameworks and reusable integration components.
- Knowledge of Data Vault 2.0 architecture and modern data lakehouse concepts.
- Familiarity with DevOps practices for data engineering and automated ETL deployments.
- Experience with BI platforms including Power BI, Tableau, or Qlik for downstream reporting integration.
- Understanding of data governance frameworks, lineage, cataloging, and regulatory compliance.
- Cloud certifications in Azure, AWS, Snowflake, or Informatica are highly desirable.

**Project Environment**  

You will be joining an enterprise data engineering team responsible for modernizing data integration and analytics platforms supporting multiple business units across financial services, healthcare, insurance, and retail industries. Current initiatives include:

- Enterprise data warehouse modernization to Snowflake and Azure Synapse
- Cloud-based ETL migration from legacy on-premises platforms
- Real-time data ingestion and analytics pipelines
- Customer 360 and Master Data Management initiatives
- Regulatory reporting and compliance data solutions
- Data Lake and Lakehouse architecture implementation
- Enterprise reporting platforms supporting executive dashboards and operational analytics
- High-volume data pipelines processing billions of records from ERP, CRM, HR, and financial systems

This is a hands-on engineering role where you will contribute to data architecture, ETL development, cloud migration, performance optimization, production support, and continuous improvement of enterprise data integration solutions.  

**How to Apply**  

Would you like to know more about this opportunity? For immediate consideration, please send your resume to **Harry@bvteck.com** or contact us at **(908) 676-4399**. Learn more about Bright Vision Technologies at **[www.bvteck.com](http://www.bvteck.com)**.  

**Bright Vision Technologies is an Equal Opportunity Employer**

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
## Skills

- Regulatory Compliance
- Data Warehousing
- Jenkins
- Enterprise Resource Planning
- Cloud Computing
- Data Lakehouse
- Data Lakehouse Architecture
- Debugging
- Scripting
- DevOps
- SAP Master Data Management MDM
- Amazon Web Services
- Data Ingestion
- Analytics
- Apache Parquet
- Pyspark
- Microsoft SQL Server
- Data Quality Assessment
- Informatica PowerCenter
- Amazon Kinesis
- Extract Transform Load (Etl)
- Teradata Database
- Software Deployment
- Code Review
- Change Data Capture (Cdc)
- SQL Server Integration Services (Ssis)
- Planning
- Pentaho
- Data Vault
- Python
- Apache Avro
- Deployment Strategy
- Git (Version Control System)
- Information Architecture
- Azure Event Hubs
- Automation
- Amazon Redshift
- Mechanical Systems
- Customer 360
- Incremental Data Loading
- Parallel Processing
- Performance Tuning
- Enterprise Data Warehouse
- Microsoft Azure
- Tableau (Business Intelligence Software)
- Databricks
- Relational Databases
- SQL
- PostgreSQL
- Data Reconciliation
- Big Data
- Apache Spark
- Customer Relationship Management
- Snowflake Schema
- Talend
- Computer System Validation (Csv)
- Statistics
- Apache Kafka
- Apache Airflow
- Snowflake
- CI/CD
- Windows PowerShell
- Informatica
- Software Development Life Cycle
- Data Architecture
- Azure Data Factory
- Financial Systems
- On-Premises Infrastructure
- Data Profiling
- Bash
- Star Schema
- Dimensional Modeling
- Software Maintainability
- Database Partitioning
- Data Governance
- AutoSys
- Regulatory Reporting
- Google Cloud Platform (Gcp)
- Human Resources
- JSON
- AWS Glue
- Data Validation
- Business Intelligence
- Schema Markup
- Microsoft Azure DevOps Services
- Data Quality
- Data Lineage
- Business Intelligence Reporting
- Azure Synapse Analytics
- Digital Dashboards
- Cloud Data Platform
- Data Engineering
- IBM InfoSphere DataStage
- Qlik
- Data Fusion
- Data Lakes
- BMC Software Control-M
- Extensible Markup Language (Xml)
- Data Security
- Agile/Scrum
- Governance
- BigQuery
- Production Support
- Data Processing
- Data Pipeline
- Power BI

## How to Apply

[Apply for this position](https://www.foundrole.com/jobs/etl-developer-at-bright-vision-technologies-01a0cf40-8183-7914-a98e-e86b4b125749?utm_source=ai_markdown)

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