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Etl Developer Remote Jobs in Washington (NOW HIRING)

Delan Associates, Inc.

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Glider - Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the ... Advanced Key Responsibilities Design, develop, and support enterprise-scale ETL processes and data ...

Sparibis

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... Experience with ETL and ELT tools such as SSIS, Pentaho, and/or Data Migration Services, and the ...

NewGen

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

The Palantir Data Engineer leverages advanced Python skills within a small team to develop and ... Develop new ETL and perform O&M and enhancements on existing ETL code using best practices ...

SAIC

Software Developer

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is seeking a Software Developer to ... Experience designing or implementing Extract, Transform, and Load (ETL) pipelines. * Experience as ...

Agelix Consulting

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Data Engineer ROLE SUMMARY: Conducts data migration and data architecture for the BATS ... Design and build data pipelines using tools like SSIS. * Manage ETL (Extract, Transform, Load ...

GRVTY

Data & Software Engineer

Mclean, VA · Remote

$115K - $139K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

McBride

Power BI Developer

Arlington, VA · Remote

$125K - $140K/yr

This is a remote position. McBride Consulting is seeking a PowerBI Developer for a banking client ... Strong SQL and data integration across multiple sources (Oracle, SQL Server, etc.) * ETL / data ...

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Etl Developer Remote information

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.

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.

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.
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Etl Developer Remote jobs near you
Infographic showing various Etl Developer Remote job openings in Washington as of August 2026, with employment types broken down into 69% Full Time, 3% Part Time, and 28% Contract. Highlights an 100% Remote job distribution.

Data Engineer II

Delan Associates, Inc.

Arlington, VA • On-site, Remote

$131K - $158K/yr

Contractor

Re-posted 23 hours ago

Job description

Spark, Hadoop, and Python are the skills required for the role. It will be hybrid, 3 days a week in office. Please Focus on local resources or candidates within a commutable distance to Arlington
Interview: F2F
Assessment: Glider - Data Engineering (Advanced)
Overview
seeking an experienced Data Engineer II to join the Analytics Solutions Team. This team partners with stakeholders to extract data from the Data Warehouse, transform and optimize it, and build reporting/dashboard solutions that deliver actionable insights to clients.
The ideal candidate will have strong hands-on experience with Spark, Hadoop, Python, and SQL, along with a background building scalable data pipelines and ETL solutions in large data environments.
Work Schedule
Monday - Friday
9:00 AM - 5:00 PM ET
Hybrid schedule (3 days onsite per week)
No travel required
Interview Process
Two rounds minimum
Hiring Manager
Team Interview
In-person interviews preferred
Top Required Skills
• Apache Spark (PySpark, Spark SQL, Spark Streaming)
• Hadoop Ecosystem (HDFS/Ozone, Hive, YARN)
• Python
Level Required: Advanced
Key Responsibilities
Design, develop, and support enterprise-scale ETL processes and data pipelines.
Build scalable and efficient data processing solutions that ensure timely delivery of business-critical data.
Develop and optimize big data workflows using Apache Spark and Hadoop technologies.
Partner with Data Engineers, Analysts, and business stakeholders to deliver high-quality data solutions.
Troubleshoot data issues and implement solutions that maintain data integrity and quality.
Support dashboard and reporting initiatives by delivering clean, transformed datasets.
Utilize SQL and database technologies to improve data processing performance and efficiency.
Participate in automation initiatives to streamline operational and data engineering processes.
Follow engineering best practices including code reviews, version control, testing, and data validation.
Ensure compliance with Mastercard internal policies and industry regulations.
Required Qualifications
Experience as a Data Engineer or similar data-focused role.
Strong SQL development and query optimization experience.
Hands-on experience with:
Apache Spark (PySpark, Spark SQL, Spark Streaming)
Hadoop ecosystem (HDFS/Ozone, Hive, YARN)
Python
Experience building and maintaining ETL pipelines.
Understanding of data modeling and database design principles.
Ability to troubleshoot and resolve complex data issues independently.
Experience validating and testing data for quality and consistency.
Strong written and verbal communication skills.
Bachelor's degree in Engineering, Mathematics, Finance, Business, Computer Science, or a related field (or equivalent practical experience).
Additional Details
Excellent opportunity to work on large-scale data platforms supporting global clients.
Target Profile: Data Engineers with strong Spark/Hadoop backgrounds who have built enterprise data pipelines and are comfortable working in a large-scale analytics environment.

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