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Manager Etl Developer Remote Jobs in Lancaster Mill, SC

1 point system

QA Engineer (Data)

Fort Mill, SC · Remote

$30/hr

Results-driven Senior QA Engineer with 6 to 8+ years of experience specializing in ETL testing, Big ... in Computer Science or Management Information Systems or equivalent * Perform complex SQL ...

LPL Financial

Principal Software Dev

Fort Mill, SC · On-site +1

$175K - $293K/yr

Build and maintain ETL/ELT workflows using Python, AWS Glue, Lambda, Step Functions, and S3 ... Apply CI/CD and DevOps best practices to automate build, test, and deployment processes

1 point system

Salesforce Tech Lead

Fort Mill, SC · Remote

$50/hr

... SFDC Developer/Admin experience with Salesforce Technologies Salesforce CRM, Apex Language, Apex ... Data Loader and ANT, AutoRABIT preferred. * Experience in Agentforce building AI agents

1 point system

Engineering Program Manager

Fort Mill, SC · Remote

$132K/yr

Requirement - Engineering Program Manager (Ex-Apple) Location- USA Remote Contract W2 Role Description: Supports planning and execution across a variety of product initiatives, with a focus on ...

1 point system

Lead Salesforce Developer

Fort Mill, SC · Remote

$56.75 - $75.25/hr

Remote (EST) Contract W2 Role Summary We are seeking a hands-on Lead Salesforce Developer to drive ... Partner with teams supporting identity and access management, authentication, and secure API ...

1 point system

Lead Salesforce Developer

Rock Hill, SC · Remote

$56.75 - $75.25/hr

Requirement - Lead Salesforce Developer Location- Remote Contract W2 Total to IT Experience must be ... Partner with teams supporting identity and access management, authentication, and secure API ...

1 point system

Machine Learning Engineer

Fort Mill, SC · Remote

$48/hr

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks ... Model development, deployment, optimization, and lifecycle management Strong Fit Profile A strong ...

Mondo

Sr. OroCommerce Developer

Charlotte, NC · Remote

$58 - $60/hr

Remote (EST hours required) Start Date: ASAP Duration: Contract-to-Hire, 6 months Compensation ... Collaborate cross-functionally with Product Managers, UX/UI Designers, and QA Engineers to deliver ...

1 point system

AI/python developer openings

Fort Mill, SC · Remote

$90 - $100/hr

Job Title AI/python developer Location Remote Rate $90-100/hr on W2 Must have: any AI tooling ... Partner with engineering, product management, research scientists, and business stakeholders to ...

WSP

Lead Substation Engineer (P&C or Physical)

Indian Land, SC · On-site +1

$92K - $117K/yr

A hybrid or in-office work setup is preferred to foster collaboration and mentorship, but remote ... Perform and oversee electrical calculations, including load flow, short circuit, voltage drop ...

Red Ventures

Product Manager | Allconnect

Fort Mill, SC · On-site +1

$80K - $120K/yr

This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B ... Experience collaborating with engineering, design, analytics, ops, and go-to-market teams. * Clear ...

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Manager Etl Developer Remote information

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How much do manager etl developer remote jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for manager etl developer remote in Lancaster Mill, SC is $48.94, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $54.76 per hour, depending on experience, location, and employer.

What does a Manager ETL Developer do, especially in a remote role?

A Manager ETL Developer oversees the design, development, and maintenance of ETL (Extract, Transform, Load) processes that move and transform data between systems. In a remote setting, they coordinate virtual teams, manage project timelines, and ensure data integration tasks are completed efficiently and securely. They are also responsible for troubleshooting issues, optimizing workflows, and ensuring data quality standards are met, all while collaborating with stakeholders through digital communication tools. This role often requires a strong understanding of data architectures, leadership skills, and proficiency with ETL tools and platforms.

What are the key skills and qualifications needed to thrive as a Manager ETL Developer in a remote setting?

To thrive as a Manager ETL Developer remotely, you need expertise in data warehousing, ETL processes, and database management, usually supported by a degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or Microsoft SSIS, as well as knowledge of SQL and cloud platforms, is typically required, along with relevant certifications. Strong leadership, problem-solving, and communication skills are essential for managing teams and coordinating projects across different locations. These capabilities ensure efficient data integration, successful project delivery, and effective team collaboration in a remote environment.

What are some common challenges faced by a Manager ETL Developer working remotely, and how can they be addressed?

A Manager ETL Developer working remotely often encounters challenges such as coordinating effectively with distributed teams, ensuring data quality across multiple sources, and managing project timelines without in-person oversight. To address these, it's important to establish clear communication channels, use collaborative project management tools, and implement regular check-ins with both technical and business stakeholders. Focusing on documentation and maintaining transparent workflows can also help in aligning team members and keeping projects on track.
Manager Etl Developer Remote jobs near you

QA Engineer (Data)

1 point system

Fort Mill, SC • Remote

$30/hr

Contractor

Re-posted 5 days ago

Job description

Requirement - QA Engineer (Data)

Location- 100% Remote

Contract W2

Rate- $30/hr on W2

we are looking for someone who has tested data pipelines and worked with platforms like Databricks, AWS EMR, or Spark. Some background in PySpark or Hadoop based data testing would be a big plus for us.
A background mostly on the web and mobile automation side, won't be a great right fit for this role.
If you can find someone with It would be great to see candidates with exposure to areas such as Apache Spark testing, EMR/Databricks/Hadoop-based environments, data validation, and other related Big Data testing activities.

Results-driven Senior QA Engineer with 6 to 8+ years of experience specializing in ETL testing, Big Data validation, Apache Spark testing, and Hadoop ecosystem-based quality engineering. Proven expertise in validating large-scale data pipelines across EMR, Databricks, and distributed data processing environments. Strong background in automation testing (UI, API), database testing, and data integrity validation within enterprise applications. Adept at working in Agile environments, collaborating with cross-functional teams, and ensuring high-quality data-driven systems in production. 
Required Skills -

  • 6+ years of software testing experience in quality engineering, quality assurance or a similar role.
  • Bamboo, and Github experience required
  • Cucumber-TestNG framework using JAVA, Selenium, RestAssured, Maven for UI and API Automation Testing experience preferred.
  • Nunit Framework using C#, Selenium, RestAssured, Nugut for UI and API testing experience preferred.
  • Excellent analytical skills with ability to troubleshoot problems and find root causes.
  • It would be great to see candidates with exposure to areas such as Apache Spark testing, EMR/Hadoop-based environments, data validation, and other related Big Data testing activities.
  • Good hands on experience with quality engineering and strategies.
  • Good experience with test automation, database testing, API testing and Java application testing.
  • Experience with use of AI technologies within testing is preferred.


Core Skills

  • Big Data Testing: Apache Spark, Hadoop, EMR, Databricks
  • ETL Testing & Data Validation: Data pipeline validation, transformation testing, reconciliation
  • Automation: Selenium, Cucumber, TestNG, RestAssured, NUnit
  • API Testing: REST APIs, Postman, RestAssured
  • Database Testing: SQL Server, Oracle, Data validation queries
  • Programming: Java, C#, SQL
  • CI/CD: Bamboo, GitHub
  • Frameworks: BDD (Cucumber), TDD
  • Tools: Maven, Jenkins, JIRA


Job Requirements -

  • 6+ years of software testing experience in quality engineering, quality assurance or a similar role mainly in ETL, Data and Hadoop testing.
  • Bamboo, and Github experience required.
  • Good experience with test automation, API testing and Java application testing.
  • Experience with use of AI technologies within testing is preferred.
  • Cucumber-TestNG framework using JAVA, Selenium, RestAssured, Maven for UI and API Automation Testing experience preferred.
  • Nunit Framework using C#, Selenium, RestAssured, Nugut for UI and API testing experience preferred.
  • Excellent analytical skills with ability to troubleshoot problems and find root causes.
  • HealthCare experience pertaining to Medical Claims processing is preferred.
  • Ability to think “outside of the box”.
  • Flexible in thought and creative in approach to testing.
  • Perform end-to-end ETL testing validating large-scale data pipelines across distributed systems.
  • Design and execute Apache Spark testing strategies to validate transformations, aggregations, and streaming pipelines.
  • Conduct data validation and reconciliation testing between source systems, staging layers, and target data warehouses.
  • Work with the Hadoop ecosystem (HDFS, Hive, Spark) for validating batch and real-time data processing.
  • Validate data pipelines deployed on AWS EMR and Databricks environments ensuring data accuracy and completeness.
  • Develop SQL-based validation frameworks to verify data integrity, consistency, and transformation correctness.
  • 4 Year Degree in Computer Science or Management Information Systems or equivalent
  • Perform complex SQL validation for large datasets.
  • Validate data migration and transformation logic across multiple systems.
  • Ensured data quality, completeness, and accuracy through validation rules and checks.