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Data Encoder Jobs in Washington (NOW HIRING)

Jacobs

VDC Coordinator

Arlington, VA · On-site

Post deliverables utilizing the Autodesk Construction Cloud (ACC) platform. * Assist in model quality checking, digital close-out and asset data encoding for handover. * Work with point clouds in ...

Jacobs

VDC Coordinator

Reston, VA · On-site

Post deliverables utilizing the Autodesk Construction Cloud (ACC) platform. * Assist in model quality checking, digital close-out and asset data encoding for handover. * Work with point clouds in ...

Jacobs

VDC Coordinator

Rockville, MD · On-site

Post deliverables utilizing the Autodesk Construction Cloud (ACC) platform. * Assist in model quality checking, digital close-out and asset data encoding for handover. * Work with point clouds in ...

Lancesoft

DevOps Developer 3

Herndon, VA · On-site

$62.44 - $71.36/hr

This job is with Encode, Inc a fully owned subsidiary of Lancesoft Active TS/SCI U.S. Security ... data protection and disaster recovery capabilities in case of system failures or data loss.

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How much do data encoder jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data encoder in Washington is $35.08, according to ZipRecruiter salary data. Most workers in this role earn between $13.16 and $66.07 per hour, depending on experience, location, and employer.

What is a Data Encoder job?

A Data Encoder is responsible for inputting, updating, and maintaining accurate data in computer systems or databases. They ensure data integrity by verifying and correcting information as needed. The role often involves handling confidential records, organizing files, and generating reports. Strong attention to detail, typing skills, and familiarity with data management software are essential for this position.

What are the key skills and qualifications needed to thrive in the Data Encoder position, and why are they important?

To thrive as a Data Encoder, you need excellent attention to detail, fast and accurate typing skills, and a high school diploma or equivalent as a common minimum qualification. Familiarity with data entry software, spreadsheet applications like Microsoft Excel, and sometimes database management systems is typically required. Strong organization, time management, and the ability to work independently or as part of a team are valuable soft skills in this role. These skills are crucial for ensuring the accuracy, reliability, and efficiency of data processing tasks within various industries.

What are the typical daily responsibilities of a Data Encoder?

A Data Encoder is primarily responsible for accurately inputting and updating information into digital databases or systems, often working with large volumes of data from paper or electronic sources. Typical daily tasks include reviewing documents for errors, verifying data for completeness and accuracy, and organizing files for easy retrieval. Data Encoders may also collaborate closely with other administrative staff or departments to ensure that records remain up-to-date and accessible. In some organizations, they also assist with basic data analysis or generate routine reports to support business operations.

What are the most commonly searched types of Data Encoder jobs in Washington? The most popular types of Data Encoder jobs in Washington are:
What are popular job titles related to Data Encoder jobs in Washington? For Data Encoder jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Encoder jobs in Washington look for? The top searched job categories for Data Encoder jobs in Washington are:
What cities in Washington are hiring for Data Encoder jobs? Cities in Washington with the most Data Encoder job openings:
Data Encoder jobs near you
Infographic showing various Data Encoder job openings in Washington as of June 2026, with employment types broken down into 4% Internship, 88% Full Time, 4% Part Time, and 4% Contract. Highlights an 74% In-person, 4% Hybrid, and 22% Remote job distribution, with an average salary of $72,958 per year, or $35.1 per hour.
Manager, Data Science - Emerging ML

Manager, Data Science - Emerging ML

Capital One

Mclean, VA

Full-time

Posted 16 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

72nd of 141 rated banks

Job description

Manager, Data Science - Emerging ML

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

Emerging ML is the data science and machine learning team inside Capital One's Applied Research organization. We focus on research and development of new technologies within the domain of Artificial Intelligence with a focus on Embeddings and Foundation Models. We partner closely with our product and engineering teams to connect emerging technologies with business critical use cases across Capital One's lines of business.

As part of Emerging ML, you will work on things like:

  • Conducting research into self supervised learning, transformer models, and representation learning

  • Building customer behavioral models (using transaction, clickstream, and other data) that identify trends, patterns, and relationships related to product usage

  • Refining integration patterns for encoder and decoder models for downstream use cases to connect Applied Research products and business use cases

Role Description

This is an individual contributor position. In Emerging ML, you will work at all phases of the data science lifecycle, including:

  • Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50+ million customers.

  • Partner closely with a variety of business and product teams across Capital One to conduct the experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention.

  • Write software (Python, Scala, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark and AWS.

The Ideal candidate will be:

  • Curious and creative.You thrive on bringing definition to big, undefined problems. You love asking questions, and you love pushing hard to find the answers. You're not afraid to share a new idea. You communicate clearly and effectively to share your findings with non-technical audiences.

  • Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms. You are not afraid of petabytes of data.

  • Statistically-minded. You have built models, validated them and backtested them.You know how to interpret a confusion matrix or a ROC curve.You have experience with clustering, classification, sentiment analysis, time series analysis and deep learning.

  • Customer and product oriented. You share our passion for changing banking for good.

Basic Qualifications:

  • Currently has, or is in the process of obtainingone of the followingwith an expectation that the required degree will be obtained on or before the scheduled start date:

    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics

    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics

  • At least 1 year of experience leveraging open source programming languages for large scale data analysis

  • At least 1 year of experience working with machine learning

  • At least 1 year of experience utilizing relational databases

Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)

  • Experience working with AWS

  • At least 4 years' experience in Python, Scala, or R

  • At least 4 years' experience with machine learning

  • At least 4 years' experience with SQL

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $197,300 - $225,100 for Mgr, Data Science


New York, NY: $215,200 - $245,600 for Mgr, Data Science


San Jose, CA: $215,200 - $245,600 for Mgr, Data Science









Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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