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Etl Informatica Developer Remote Jobs in Ashburn, VA

Delan Associates, Inc

Data Engineer II (Remote)

Arlington, VA · Remote

$117K - $140K/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 ...

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$150K - $200K/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)

Bigbear.ai

Data Engineer

Mclean, VA · Remote

$142K - $190K/yr

This position is remote but will require travel in the DMV area. Responsibilities * Build source ... Implement ETL/ELT pipelines with strong engineering rigor: testing, observability, error handling ...

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 ...

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 ...

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All JobsEtl Informatica Developer JobsEtl Informatica Developer Remote JobsEtl Informatica Developer Remote Jobs in Ashburn, VA

Etl Informatica Developer Remote information

See Ashburn, VA salary details

$10

$61

$79

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

As of Aug 16, 2026, the average hourly pay for etl informatica developer remote in Ashburn, VA is $61.04, according to ZipRecruiter salary data. Most workers in this role earn between $52.36 and $68.85 per hour, depending on experience, location, and employer.

What is the difference between Etl Informatica Developer Remote vs Data Warehouse Developer?

AspectEtl Informatica Developer RemoteData Warehouse Developer
Required CredentialsInformatica certifications, SQL, ETL tools knowledgeSQL, data modeling, sometimes Informatica certifications
Work EnvironmentRemote, collaborative teams, cloud-based toolsOn-site or remote, data-focused environment
Industry UsageFinance, healthcare, retail, techFinance, retail, healthcare, manufacturing
Common Search/ComparisonYesYes

The Etl Informatica Developer Remote and Data Warehouse Developer roles share similar skills like SQL and data modeling, often working in data-centric industries. While the Informatica developer focuses on ETL processes using Informatica tools, the Data Warehouse Developer may work on broader data architecture and database design. Both roles can be remote and require similar certifications, but their primary focus differs: ETL process automation versus data warehouse design and maintenance.

What are some common challenges ETL Informatica developers face when working remotely, and how can they be addressed?

Remote ETL Informatica Developers often face challenges such as coordinating with distributed teams across different time zones, ensuring secure access to sensitive data, and troubleshooting complex data issues without immediate onsite support. To address these, it's important to establish clear communication channels, use secure VPNs or remote desktop solutions for accessing development environments, and participate in regular virtual meetings to stay aligned with project goals. Leveraging collaborative tools and maintaining thorough documentation also helps in overcoming remote work obstacles and ensures smooth project delivery.

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

To thrive as an ETL Informatica Developer (Remote), you need strong SQL skills, data warehousing knowledge, and experience with Informatica PowerCenter, typically supported by a degree in computer science or a related field. Familiarity with databases like Oracle or SQL Server, version control systems, and certifications such as Informatica Certified Professional are commonly required. Attention to detail, problem-solving ability, and effective remote communication skills set top performers apart in this role. These skills ensure efficient data integration, high-quality deliverables, and smooth collaboration in distributed teams.

How to become a remote ETL Informatica developer?

The qualifications that you need to start working as a remote ETL Informatica developer include computer and database maintenance skills and an understanding of Informatica software and Extract Transform Load (ETL) processes. Most employers expect at least a bachelor’s degree in computer science or computer information systems. These positions also require SQL programming abilities. Informatica also offers professional certifications. You can pursue specialist certification as an Informatica PowerCenter Developer, an Informatica PowerCenter Administrator, or developer who specializes in data quality.

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Etl Informatica Developer Remote jobs near you
Infographic showing various Etl Informatica Developer Remote job openings in Ashburn, VA as of August 2026, with employment types broken down into 80% Full Time, 5% Part Time, and 15% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $126,953 per year, or $61 per hour.

Data Engineer II (Remote)

Delan Associates, Inc

Arlington, VA • Remote

$117K - $140K/yr

Full-time

Re-posted 8 days 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.