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Remote Data Engineer Jobs in Central, LA (NOW HIRING)

ETL Developer

Baton Rouge, LA · Remote

$40 - $52.25/hr

Remote (as always, they could ask them to travel onsite to Baton Rouge, LA, on rare occasions. If ... Develop and maintain data models and data mappings. Ensure data quality and integrity by ...

ETL Developer

Baton Rouge, LA · Remote

$40 - $52.25/hr

Remote (as always, they could ask them to travel onsite to Baton Rouge, LA, on rare occasions. If ... Develop and maintain data models and data mappings. Ensure data quality and integrity by ...

Customize GIS workflow and software programs for data collection, engineering, and environmental applications #LI-Remote Skills / Qualifications Required: * 2 - 5 years of GIS project experience * BA ...

... programmers * Identify and document relevant business processes contained in legacy application data systems * Build out and support the management and prioritization of the product backlog * Create ...

... programmers * Identify and document relevant business processes contained in legacy application data systems * Build out and support the management and prioritization of the product backlog * Create ...

Showing results 21-40

Remote Data Engineer information

See Central, LA salary details

$38.1K

$110.9K

$151.8K

How much do remote data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data engineer in Central, LA is $110,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $117,600.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What cities near Central, LA are hiring for Remote Data Engineer jobs?

Cities near Central, LA with the most Remote Data Engineer job openings:

ETL Developer

3B Staffing LLC

Baton Rouge, LA • Remote

$40 - $52.25/hr

Full-time

Posted 13 days ago


Job description

Title: ETL Developer

Location: Remote (as always, they could ask them to travel onsite to Baton Rouge, LA, on rare occasions. If they travel, it would be a 1 week trip and travel costs would be paid)

Duration: Contract

Need 3 Professional References

Description:

Job Duties and responsibilities will include but are not limited to the following:

Design, develop, and maintain ETL processes and systems.

Create and implement ETL strategies to meet client's requirements.

Collect, clean, and integrate data from various sources, including structured and unstructured data.

Develop and maintain data models and data mappings.

Ensure data quality and integrity by implementing data validation and error handling processes.

Collaborate with stakeholders and internal technical teams to define and prioritize requirements.

Provide technical knowledge transfer, training, and documentation to the staff for all requested work.

Participate by providing feedback and detailed design and implementation approaches in all necessary team meetings and design sessions in accordance with Scrum ceremonies.

Cooperation with Technical Architect and other technical teams to ensure compliance with standards of the applications.

Perform all other tasks, special projects, analysis, studies, and plans as directed.

Expertise and/or relevant experience in the following areas are mandatory:

Two (2) plus years advanced SQL experience writing complex queries, joins, and stored procedures to identify anomalies and transform data types.

Four (4) plus years' experience working on data migration or data integration projects with specific experience in building automated, repeatable workflows; performance tuning; data cleansing; API integration; audit logging and exception handling.

Completion of two or more full-scale data migration projects (legacy to cloud or legacy to modern ERP/CRM).

Experience with enterprise ETL tools such as Informatica, Talend, AWS Glue, Azure Data Factory, or SSIS.

Experience with scripting languages such as Python, PowerShell, Java.

Experience working on a development team.

Experience with client engagements on design, delivery, deployment and on-going maintenance.

Previous experience working in an Agile/Scrum environment.