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Remote Teradata Jobs in Washington, DC (NOW HIRING)

Data Engineer II (Remote)

Arlington, VA · Remote

$117K - $140K/yr

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 ...

AWS Data Engineer

Mclean, VA · Remote

$150K - $170K/yr

Remote - offsite Security Clearance: US Citizen with the ability to obtain a public trust System One is looking for a strong AWS Data Engineer for a remote contract-to-hire position. While this ...

AWS Data Engineer

Mclean, VA · Remote

$150K - $170K/yr

Remote - offsite Security Clearance: US Citizen with the ability to obtain a public trust System One is looking for a strong AWS Data Engineer for a remote contract-to-hire position. While this ...

AWS Data Engineer

Mclean, VA · Remote

$150K - $170K/yr

Remote - offsite Security Clearance: US Citizen with the ability to obtain a public trust System One is looking for a strong AWS Data Engineer for a remote contract-to-hire position. While this ...

SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

Remote (EST/CST Preferred) Start Date Is: ASAP Duration: Permanent Compensation Range: $125,000 - $140,000 annually Benefits: Eligible for Health, Dental, Vision, 401K, PTO Must be authorized to work ...

Data Scientist

Washington, DC · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0247406 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: Design and implement effective AI solution architecture utilizing approaches ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242719 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

ETL Data Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0241379 Location: McLean,VA,US Share job via: Share ETL Data Engineer The Opportunity: As a data engineer, you know that a good site or system needs the right combination ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241357 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Data Engineer

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0245373 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Booz Allen is seeking a Data Engineer to architect, develop, and optimize scalable ...

Showing results 21-40

Remote Teradata information

See Washington, DC salary details

$47

$60

$70

How much do remote teradata jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for remote teradata in Washington, DC is $60.81, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $65.34 per hour, depending on experience, location, and employer.

What is a remote Teradata?

Remote Teradata jobs are positions that involve working with Teradata, a leading data warehousing and analytics platform, from a location outside the traditional office environment. These roles typically include responsibilities such as database administration, development, data analysis, and system maintenance, all performed remotely. Remote Teradata professionals use secure connections to access company systems, enabling them to manage large datasets, optimize queries, and support business intelligence initiatives from anywhere. This flexibility allows companies to hire talent from a broader geographic area while also giving employees a better work-life balance.

What skills and qualifications are needed to thrive as a remote Teradata professional?

To thrive as a Remote Teradata professional, you need a strong background in database management, SQL programming, and data warehousing concepts, often supported by a degree in computer science or a related field. Familiarity with Teradata tools, data integration platforms, and certifications such as Teradata Certified Professional are commonly required. Excellent problem-solving, communication, and self-motivation are crucial soft skills for effective remote collaboration and troubleshooting. These skills ensure efficient data management, seamless teamwork, and the ability to deliver solutions in distributed work environments.

How do remote Teradata professionals typically collaborate with on-site teams and stakeholders?

Remote Teradata professionals often use a combination of video conferencing, instant messaging, and project management platforms to maintain close communication with on-site teams. They frequently participate in regular meetings to discuss project progress, troubleshoot issues, and align on database management strategies. Collaboration is essential, especially when working on large-scale data warehousing solutions, so remote professionals are expected to be proactive in providing updates and sharing insights. Clear documentation and consistent communication help bridge the gap between remote and on-site teams, ensuring seamless integration and efficient project delivery.

What is the difference between Remote Teradata vs Remote SQL Developer?

AspectRemote TeradataRemote SQL Developer
Required CredentialsTeradata certifications, SQL knowledgeSQL certifications, database knowledge
Work EnvironmentData warehousing, large-scale enterprise systemsApplication development, database management
Industry UsageData analytics, telecom, financeSoftware, finance, healthcare
Common Search/ComparisonYesYes

Remote Teradata professionals focus on managing and optimizing Teradata data warehouses, requiring specific Teradata certifications and experience with large-scale data systems. Remote SQL Developers work across various databases, including SQL Server, MySQL, and PostgreSQL, often with broader application development skills. While both roles involve SQL expertise, Remote Teradata roles are more specialized in data warehousing, whereas Remote SQL Developers have a wider scope in database and application development.

Is Remote Teradata a good place to work?

Remote Teradata roles typically involve working with data warehousing and analytics tools, requiring skills in SQL and Teradata systems. The work environment often offers flexibility and the opportunity to collaborate remotely, but job satisfaction depends on company culture and individual preferences. Researching specific employer reviews can provide more insight into the work experience.

What jobs can I do completely remotely as a Remote Teradata?

A Remote Teradata professional can typically work as a data analyst, data engineer, or database administrator, focusing on tasks such as data warehousing, query optimization, and database management using Teradata tools. These roles often require strong SQL skills, knowledge of data modeling, and the ability to work independently in a remote environment. Many companies offer these positions with flexible schedules and remote work policies.

What are the most commonly searched types of Teradata jobs in Washington, DC?

The most popular types of Teradata jobs in Washington, DC are:

What job categories do people searching Remote Teradata jobs in Washington, DC look for?

The top searched job categories for Remote Teradata jobs in Washington, DC are:

Infographic showing various Remote Teradata job openings in Washington, DC as of July 2026, with employment types broken down into 75% Full Time, 4% Part Time, and 21% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $126,479 per year, or $60.8 per hour.

Data Engineer II (Remote)

Arlington, VA • Remote

Delan Associates, Inc
Engineering Professional Services • 51 - 200 employees

$117K - $140K/yr

Full-time

Re-posted 5 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.