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Etl Developer Remote Jobs in Norfolk, VA (NOW HIRING)

IT HEDIS & Analytics Manager

Norfolk, VA · On-site +1

$29.25 - $38.75/hr

This role manages ETL developers and operational support staff while serving as a key IT partner to ... For positions that are available as remote work, Sentara Health employs associates in the following ...

Experience with data pipeline reliability (ETL/ELT workflows, streaming systems). * Exposure to AI ... This is a remote position. While performing the duties of this job, the employee regularly works in ...

Network Engineer

Virginia Beach, VA · On-site +1

$135K - $150K/yr

Configure routers, switches, firewalls, load balancers, and network management systems. * Maintain ... Support connectivity between live platforms, simulators, command centers, and remote training ...

Senior Network Engineer

Virginia Beach, VA · On-site +1

$150K - $165K/yr

Configure routers, switches, firewalls, load balancers, and network management systems. * Maintain ... Support connectivity between live platforms, simulators, command centers, and remote training ...

MECHANICAL ENGINEER

Norfolk, VA · On-site

$56K - $84K/yr

... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... heat transfer, soil mechanics, or electronics. OR Training, and/or technical experience that ...

The CMC Development organization at Moderna is looking for top talent in science and engineering to ... Perform process scale-up, support technology transfer and provide manufacturing support at internal ...

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Etl Developer Remote information

See Norfolk, VA salary details

$30

$55

$78

How much do etl developer remote jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for etl developer remote in Norfolk, VA is $55.52, according to ZipRecruiter salary data. Most workers in this role earn between $47.45 and $62.12 per hour, depending on experience, location, and employer.

What is an ETL developer?

ETL Developers are IT professionals who design, implement, and maintain systems for extracting, transforming, and loading data from various sources into a centralized data warehouse or database. They work with different data formats and tools to ensure data is accurately and efficiently processed for business intelligence and analytics. Remote ETL Developers perform these tasks from a location outside the employer’s office, using collaboration tools and secure connections to manage data workflows.

How to become an ETL developer who works remotely?

The minimum qualifications for an ETL developer include a bachelor’s degree in software engineering, computer science, or a related field. Strong communication skills are important to relay issues that require attention accurately. Experience with NoSQL databases and PL/SQL development is beneficial. It is also helpful to have experience retrieving data from multiple data source types, interfacing with business users, and using dimensional modeling. You can stand out above other candidates if you have experience with Hadoop components, including HBase, Sqoop, HDFS, Hive, and Spark, experience with .NET or Java, and knowledge of SSAS, OLAP, and MDX.

What are the key skills and qualifications needed to thrive as a remote ETL developer?

To excel as a Remote ETL Developer, you need strong expertise in data warehousing, ETL processes, and proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or SSIS, as well as experience with cloud platforms and database technologies, is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with distributed teams and troubleshooting data issues. These competencies ensure accurate, efficient data integration and support critical business intelligence initiatives in a remote work environment.

How do ETL developers working remotely typically collaborate with data engineers and analysts to ensure data quality and project success?

Remote ETL Developers usually collaborate closely with data engineers and analysts through virtual meetings, shared project management tools, and version-controlled code repositories. Regular stand-ups and agile sprints help align team members on data requirements, transformation logic, and delivery timelines. Effective communication and thorough documentation are crucial to address data quality issues promptly and to ensure that business objectives are met. Most teams rely on platforms like Slack, Jira, and GitHub to maintain transparency and streamline workflow across different locations.

What cities near Norfolk, VA are hiring for Etl Developer Remote jobs?

Cities near Norfolk, VA with the most Etl Developer Remote job openings:

Infographic showing various Etl Developer Remote job openings in Norfolk, VA as of August 2026, with employment types broken down into 77% Full Time, 15% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,472 per year, or $55.5 per hour.

Python Data Scientist / Data Engineer

HRC Global Services

Virginia Beach, VA • Remote

Full-time

Re-posted 16 days ago


Job description

Python Data Scientist / Data Engineer

Python Data Scientist / Data Engineer (PySpark, ETL, Notebooks, Databricks) Summary We're hiring a versatile Python Data Scientist / Data Engineer to design, implement, and productionize scalable data pipelines and analytics workflows.

The role requires deep PySpark experience, strong ETL design, experience with interactive notebooks, and familiarity with Databricks or similar managed Spark platforms.

Key responsibilities

* Design and build robust ETL/ELT pipelines using PySpark for batch and near-real-time workflows.

* Develop, optimize, and schedule Spark jobs on Databricks (or equivalent Spark environment).

* Work with data scientists and product teams to transform business requirements into data models, features, and dashboards.

* Implement data validation, monitoring, and lineage to ensure data quality and reliability.

* Create reproducible notebooks for exploration, prototyping, and handoff to production pipelines.

* Tune performance of Spark jobs (memory, partitioning, shuffle reduction) and optimize cluster usage.

* Collaborate on building CI/CD for data workflows, including tests for data transformations and schema changes.

* Document architecture, ETL processes, and best practices.

Required qualifications

* 3+ years experience in data engineering, data science, or analytics engineering roles.

* Strong Python programming and hands-n PySpark experience developing data transformations at scale.

* Experience with Databricks (jobs, clusters, Delta Lake) or equivalent managed Spark platforms.

* Solid understanding of ETL/ELT patterns, data modeling, and data warehousing concepts.

* Comfortable using Jupyter or Databricks notebooks for exploration and prototyping.

* Experience with SQL and working knowledge of cloud data storage systems (S3, ADLS) and databases.

* Familiarity with orchestration tools (Airflow, Prefect, Dagster) and awareness of CI/CD for data pipelines.