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Data Technology Jobs (NOW HIRING)

Sonsoft Inc

Tera Data Tech Lead

Bellevue, WA

Good knowledge and experience on Big Data related technologies is a plus * Good knowledge of BI/DW concepts * In-depth knowledge of Performance tuning and optimization to handle and process large ...

Sonsoft Inc

Tera Data Tech Lead

Seattle, WA

Good knowledge and experience on Big Data related technologies is a plus * Good knowledge of BI/DW concepts * In-depth knowledge of Performance tuning and optimization to handle and process large ...

Amazon

Applied Scientist, WHS Data-Tech

Bellevue, WA

... our technology team builds the science and engineering capabilities that power Amazon's safety strategy at scale. We're a cross-functional group of applied scientists, software engineers, data ...

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Amazon

Applied Scientist, WHS Data-Tech

Bellevue, WA · On-site

... our technology team builds the science and engineering capabilities that power Amazon's safety strategy at scale. We're a cross-functional group of applied scientists, software engineers, data ...

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How much do data technology jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for data technology in the United States is $39.15, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $59.38 per hour, depending on experience, location, and employer.

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

To thrive in a Data Technology role, you need strong analytical skills, experience in data management, and knowledge of programming languages such as SQL or Python, often supported by a bachelor’s degree in computer science, information systems, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), cloud platforms (AWS, Azure, or Google Cloud), and relevant certifications (such as Certified Data Management Professional) is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills are key soft skills for success. These competencies help ensure the integrity, accessibility, and actionable value of data within an organization.

What profession makes $400,000 a year?

In the field of data technology, senior roles such as Chief Data Officer or Data Engineering Director can earn $400,000 or more annually, especially with extensive experience, advanced skills in data architecture, and leadership responsibilities. These positions often require advanced degrees, certifications, and a strong understanding of data management tools and strategies.

Is 40 too late for data science?

Data technology roles, including data science, do not have strict age limits. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or R, often through online courses or certifications. Age should not be a barrier if you develop the necessary expertise and experience.

What is a Data Technology job?

A Data Technology job focuses on managing, processing, and analyzing data using various tools and technologies. Professionals in this field work with databases, cloud platforms, and big data frameworks to store, organize, and extract insights from data. They may also develop data pipelines, ensure data quality, and optimize data infrastructure for business and analytical use.

What are the typical responsibilities of someone working in Data Technology?

Professionals in Data Technology are typically responsible for developing and maintaining data infrastructure, designing databases, ensuring data quality, and implementing data security standards. Day-to-day tasks may involve collaborating with analysts, engineers, and business stakeholders to enable data-driven decision-making and optimize existing systems. As part of a cross-functional team, you might be tasked with troubleshooting data issues, integrating new data sources, and supporting the deployment of analytics solutions. This role offers exposure to a fast-evolving environment, expands your technical skills, and often provides opportunities to progress toward senior data engineering or data architect positions.

What jobs pay 200,000 a year in the USA?

In the field of data technology, senior roles such as Data Architects, Data Engineering Managers, and Chief Data Officers often have salaries exceeding $200,000 annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. These positions typically require strong technical expertise, certifications, and experience managing large data systems or teams.

What is a data tech job?

A data tech job involves managing, processing, and analyzing data using tools like databases, programming languages, and data pipelines. These roles often require skills in SQL, Python, or cloud platforms and focus on ensuring data quality, security, and accessibility for organizations.
More about Data Technology jobs
What cities are hiring for Data Technology jobs? Cities with the most Data Technology job openings:
What are the most commonly searched types of Data Technology jobs? The most popular types of Data Technology jobs are:
What states have the most Data Technology jobs? States with the most job openings for Data Technology jobs include:
What job categories do people searching Data Technology jobs look for? The top searched job categories for Data Technology jobs are:
Data Technology jobs near you
Infographic showing various Data Technology job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $81,435 per year, or $39.2 per hour.
Distinguished Data Engineer - Enterprise Data Technology

Distinguished Data Engineer - Enterprise Data Technology

Capital One

Mclean, VA • On-site

$115K - $139K/yr

Full-time

Posted 6 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks

Job description

Distinguished Data Engineer - Enterprise Data Technology

Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.

About the team

The Data Operations Center (DOC) serves as the backbone of our enterprise data ecosystem, ensuring the stability and scalability of our core e-data platforms. As a horizontal organization, we manage a diverse tech stack including Snowflake, Databricks, DynamoDB, File Transfers and legacy systems like Ab Initio to provide a high-performance foundation for the entire enterprise while housing an internal AI,ML Engineering team focused specifically on our evolution. By integrating AI,ML directly into our operations, we are transforming our model from reactive maintenance to a predictive, self-healing, and automated platform architecture. This collaborative structure ensures that the organization continuously evolves its support mechanisms, moving from reactive to predictive and automated operations.

Responsibilities

  • Lead the design and implementation of highly scalable, fault-tolerant, and cost-effective data architectures that seamlessly integrate Databricks (for complex processing,ML) and Snowflake (for warehousing,ETL).

  • Drive performance engineering and optimization for large-scale data ingestion and processing workloads across the Databricks,Snowflake,AWS data pipeline.

  • Provide technical leadership for the design, development, testing and deployment of agentic workflows across Capital One.This position requires a combination of strategic thinking, technical expertise in AI,ML and strong leadership to align the platform with business goals

  • Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices

  • Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities

  • Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in

  • Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team

  • Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible

  • Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner

  • Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent

Basic Qualifications:

  • Bachelor's Degree

  • At least 7 years of experience in data engineering

  • At least 3 years of experience in data architecture

  • At least 2 years of experience building applications in AWS

  • At least 5 years of experience of Python, SQL or Scala

  • At least 3 years of experience developing AI and ML algorithms or technologies

Preferred Qualifications:

  • Masters' Degree

  • 5+ years of experience in data engineering (Hadoop,AWS,Snowflake,ETL etc.)

  • 5+ years of experience in Data Governance, Data Governance Platforms, Data Standardization, and Data Modeling

  • 5+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)

  • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang

  • Deep proficiency and strategic experience with Databricks (e.g., Delta Lake, Unity Catalog, MLflow, performance tuning Spark workloads).

  • Deep proficiency and strategic experience with Snowflake (e.g., Data Sharing, Snowpipe, external tables, security features, cost governance, advanced SQL, Stored Procedures).

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: $269,100 - $307,200 for Distinguished Data Engineer


San Francisco, CA: $293,600 - $335,100 for Distinguished Data Engineer










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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