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Data Processing Jobs in Dallas, TX (NOW HIRING)

Big Data Engineer

Dallas, TX · On-site

$51.50 - $68/hr

Summary We are looking for an experienced Big Data Engineer with 7-10 years of hands-on experience to design, build, and maintain scalable data pipelines and processing systems in an on-premises Big ...

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

Integrate Kafka with Databricks for seamless data processing and analysis. * Optimize Kafka consumers and producers for performance and reliability. * Data Governance and Management (Unity Catalog)

This role requires strong expertise in Big Data processing, modern ML tools, and the ability to build scalable, production-ready data science solutions. Key Responsibilities Structured Data - Machine ...

JD: Responsibilities: • Understand the current data processing and logic applied across multiple stages of the data flow. • Work on the data issues identified for Business and Technology ...

Big Data

Plano, TX · On-site

$50.75 - $65.75/hr

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture. * Must have strong programming ...

Senior Big Data Engineer

Plano, TX · On-site

$53.25 - $70.50/hr

Spark or other large scale data processing AWS - should have S3, EMR, and/or Glue. Cert not required but would be expected for 603 level candidate. RDBMS - SQL

Big Data Developer

Irving, TX · On-site

$51.25 - $66.50/hr

... data processing issues 4). Engage with various team for software delivery 5). Build, maintain and execute unit test cases with high code coverage Required Skills: 1). 9+ years of professional ...

Fulltime Big Data Engineer

Dallas, TX · On-site

$55.50 - $73.25/hr

Summary We are looking for an experienced Big Data Engineer with 7 10 years of hands-on experience to design, build, and maintain scalable data pipelines and processing systems in an on-premises Big ...

New

Data Engineer (Databricks)

Dallas, TX · On-site

$113K - $136K/yr

Build and optimize ETL/ELT processes within Azure cloud environments . * Implement data models following modern Data Lakehouse principles (e.g., Medallion architecture). * Ensure data quality ...

Snowflake Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Familiarity with data processing using PySpark. * Understanding of data structures, functions, error handling, and basic object-oriented programming concepts. * Project Experience * Must have ...

Senior Data Engineer

Plano, TX · On-site

$101K - $137K/yr

Manage and process high-volume transactional data from multiple source systems, ensuring accuracy, quality, and consistency * Design and maintain Data Vault 2.0 models (Hubs, Links, Satellites) and ...

Senior Data Engineer

Plano, TX

$101K - $137K/yr

Manage and process high-volume transactional data from multiple source systems, ensuring accuracy, quality, and consistency * Design and maintain Data Vault 2.0 models (Hubs, Links, Satellites) and ...

Showing results 41-60

Data Processing information

See Dallas, TX salary details

$12

$20

$34

How much do data processing jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data processing in Dallas, TX is $20.04, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What do you do as a data processing?

A data processing professional manages the collection, organization, and transformation of raw data into usable formats. This involves tasks such as data entry, cleaning, validation, and using tools like spreadsheets or specialized software to ensure data accuracy and readiness for analysis or reporting.

How do I get into data processing?

To enter data processing, develop skills in data management, programming languages like Python or SQL, and familiarity with data tools such as Excel or database systems. A relevant degree in computer science, information technology, or related fields can be helpful, and gaining experience through internships or entry-level positions can improve job prospects.
What are the most commonly searched types of Data Processing jobs in Dallas, TX? The most popular types of Data Processing jobs in Dallas, TX are:
What are popular job titles related to Data Processing jobs in Dallas, TX? For Data Processing jobs in Dallas, TX, the most frequently searched job titles are:
What cities near Dallas, TX are hiring for Data Processing jobs? Cities near Dallas, TX with the most Data Processing job openings:
Infographic showing various Data Processing job openings in Dallas, TX as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $41,692 per year, or $20 per hour.

Investment Operations Analyst, Client Data

Cambridgeassociates

Arlington, TX

Full-time

Posted 16 days ago


Job description

Firm Overview:

Cambridge Associates ("CA") is a leading global investment firm. CA's goal is to help endowments & foundations, pension plans, and ultra-high net worth private clients implement and manage custom investment portfolios that generate outperformance so that they can maximize their impact on the world. Cambridge Associates delivers a range of services, including outsourced CIO, non-discretionary portfolio management, and investment consulting.


Headquartered in Boston, Massachusetts, CA has offices in key markets in North America, the United Kingdom, Europe, Asia, and Oceania. Our worldwide teams ensure our clients benefit from decades of global presence, local expertise, and relationships with the top global investment managers across the world. For more information, please visit www.cambridgeassociates.com.


Job Description Summary:

Investment Operations Analysts within the Client Data Team are tasked with managing the client data component of the investment data management process for a designated group of external investment manager relationships. This process involves collaboration with various internal teams, data processing, investment manager profile administration, audit and due diligence support, quality control, and data reconciliation. The role is operations-centric and provides support to numerous internal stakeholder groups as well as internal and external CA applications.

Job Description:

Primary Responsibilities:

  • Oversee investment data processing for a designated group of external investment managers within both traditional and alternative asset classes. This includes data and document collection, data entry, quality checks, analysis, and reconciliation.
  • Act as the primary investment data contact for assigned external investment managers, addressing all data processing needs on behalf of internal groups and external data contacts.
  • Serve as a subject matter expert for internal stakeholders, addressing time-sensitive inquiries related to the covered universe, including investigating data discrepancies/gaps and answering questions about investment data processes and policies.
  • Exhibit the ability to provide dedicated quality control support for all tasks performed by team members across the broader team.
  • Audit investment manager data in proprietary databases, including historical data reconciliation and conducting ad hoc reviews.
  • Independently support the firm's financial services/compliance requirements, including (but not limited to) actions in accordance with NDAs, collection of annual regulatory filings, and error resolution.
  • Participate in application and new functionality testing on behalf of the broader department to ensure effective implementation.
  • Develop skills and expertise to identify inefficiencies in the current operations model.

We Offer

  • Comprehensive benefits program
  • Learn about institutional client investment portfolios and alternative assets investing
  • Available internal transfer opportunities for high performers
  • Opportunities to collaborate with diverse colleagues
  • Access to robust data platforms covering traditional and alternative investments asset classes
  • Participation in onboarding program that acclimates new team members to the firm and job responsibilities
  • Support and sponsorship for professional designations such as CFA, CAIA, CIPM etc.
  • Opportunities to join our community service activities and participate in recreational leagues

Qualifications

  • Bachelor's degree (any major) and 1 year of related internship and 1 Year of work experience (finance degrees a plus)
  • The ability to operate in a highly-productive, customer service-oriented environment
  • A keen eye for detail, strong organizational skills and ability to manage multiple deadlines
  • Effective written and oral communication skills and ability to communicate with internal parties at all levels
  • The ability to work both independently and collectively to ensure the overall success of the team
  • Prior experience working in an offshore staff augmentation model a plus
  • An interest in finance and desire to learn more about the operational side of investments industry
  • Strong computer skills with knowledge of Microsoft Office Suite, specifically Excel (high proficiency a plus)
  • Eligibility to work in the U.S. without sponsorship or restriction now and in the future

Base salary range for this role:

Pay Range Minimum:

60600

Pay Range Maximum:

78800

In addition to the listed salary range, this position is eligible for an annual performance-based bonus and a comprehensive, competitive benefits package. Actual placement within the stated salary range will be determined based on factors such as skills, experience, and qualifications, as well as internal equity.

The firm is committed to the concept and practice of equal employment opportunity and will not discriminate against any employee or applicant on the basis of race, color, religion, age, sex, national origin, sexual orientation, gender identity, disability, or veteran status. It is expected that all employees will follow a similar policy toward their co-workers.