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Remote Data Processing Jobs in Houston, TX (NOW HIRING)

Swoon Staffing

Data Analyst - Entry level

Houston, TX · Remote

$37/hr

Location: 100% Remote Pay Rate: $37/hour Duration: 6/22/2026 - 12/31/2026 We are seeking a Data Analyst to support business teams by analyzing large datasets, identifying trends, and delivering ...

Alliance Technical Group

SR Data Engineer

Houston, TX · On-site +1

$109K - $131K/yr

This position is remote but may follow a hybrid schedule for candidates located within 60 miles of ... data systems, processes, and solutions proposed/implemented * Mentor junior data engineers ...

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All JobsData Processing JobsRemote Data Processing JobsRemote Data Processing Jobs in Houston, TX

Remote Data Processing information

See Houston, TX salary details

$11

$19

$33

How much do remote data processing jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for remote data processing in Houston, TX is $19.35, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.35 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What are the key skills and qualifications needed to thrive as a Remote Data Processing specialist, and why are they important?

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.
What are the most commonly searched types of Data Processing jobs in Houston, TX? The most popular types of Data Processing jobs in Houston, TX are:
What are popular job titles related to Remote Data Processing jobs in Houston, TX? For Remote Data Processing jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Processing jobs in Houston, TX look for? The top searched job categories for Remote Data Processing jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Data Processing jobs? Cities near Houston, TX with the most Remote Data Processing job openings:
Remote Data Processing jobs near you
Infographic showing various Remote Data Processing job openings in Houston, TX as of June 2026, with employment types broken down into 69% Full Time, 27% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $40,255 per year, or $19.4 per hour.

Cloud Data Engineer

empyrean

Houston, TX • Remote

$109K - $131K/yr

Other

Posted 29 days ago

Empyrean rating

4.6

Company rating: 4.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

183rd of 189 rated software companies

Job description

We are building the next generation of our enterprise data platform and are seeking a Cloud Data Engineer to architect, develop, and optimize large-scale, cloud-native data warehousing and ETL pipelines on AWS.

You will be responsible for designing our data warehouses, implementing scalable AWS-based ingestion and transformation pipelines, and enabling high-quality analytics and BI across the organization.

This role is ideal for someone with deep hands-on engineering expertise in cloud data ecosystems, data modeling, analytics enablement, and modern ETL patterns

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Design and implement AWS-native ETL/ELT pipelines using services such as:
    • AWS Glue
    • AWS Lambda
    • Amazon MWAA / Apache Airflow
    • Step Functions
    • S# / Lake Formation
  • Architect and maintain data warehouses using Amazon Redshift (or Snowflake/Databricks on AWS).
  • Build robust data ingestion patterns including incremental loads, partitioning strategies, and schema evolution handling.
  • Ensure pipelines are secure, observable, costefficient, and reliable in production environments.

REQUIRED SKILLS AND ABILITIES

  • Strong understanding of data warehousing concepts and best practices
  • Expertise in SQL and query optimization for large-scale datasets
  • Proficiency in cloud data platforms (AWS preferred) and associated services (Glue, Lambda, Airflow, S3, etc.)
  • Strong programming skills (e.g., Python, C#, or similar) for ETL development and automation
  • Experience designing and implementing scalable ETL/ELT pipelines
  • Knowledge of modern data formats (Parquet, JSON, ORC) and file-based processing
  • Experience with data modeling (star/snowflake schemas, fact/dimension design)
  • Familiarity with data governance, lineage, and security in cloud environments
  • Experience integrating AI/LLM tools into engineering workflows is a plus
  • Strong written and verbal communication skills
  • Ability to manage multiple priorities and meet deadlines in a fast-paced environment

KNOWLEDGE, EXPERIENCE, AND/OR EDUCATION REQUIREMENTS

  • Bachelor’s degree preferred but not required
    • In lieu of a degree, equivalent experience in data engineering, computer science, or related field
  • 2-4 years of experience in data engineering or data warehousing
  • Hands-on experience with cloud data platforms (AWS strongly preferred)
  • Experience building and maintaining large-scale data pipelines and warehouses
  • Experience working with BI tools such as Tableau, Power BI, Quick Sight or similar
  • Experience with applied AI in data workflows is a plus

Disclaimer: This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job. Management reserves the right to modify or reassign job duties as business needs evolve. 

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