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Remote Amazon Data Engineer Jobs in Houston, TX (NOW HIRING)

empyrean

Cloud Data Engineer

Houston, TX · Remote

$109.30K - $131.30K/yr

Amazon MWAA / Apache Airflow * Step Functions * S# / Lake Formation * Architect and maintain data ... Remote

Empyrean Services

Cloud Data Engineer

Houston, TX · Remote

$109.30K - $131.30K/yr

Amazon MWAA / Apache Airflow * Step Functions * S# / Lake Formation * Architect and maintain data ... RZ1 #LI-Remote Empyrean is an Equal Opportunity Employer: including disability and protected ...

Elios, Inc.

Senior Data Engineer

Houston, TX · Remote

$101.20K - $137.50K/yr

Senior Data Engineer - (100% Remote ... Fully Remote: Work from anywhere with flexible hours that fit your lifestyle. * Award-Winning ...

LiteBridge

Data Engineer (Junior)

Houston, TX · Remote

LiteBridge connects talented data engineers with global opportunities by training them in Palantir ... Flexible, remote work environment. * Placement with international clients upon certification.

Alliance Technical Group

SR Data Engineer

Houston, TX · On-site +1

$109.30K - $131.30K/yr

This position is remote but may follow a hybrid schedule for candidates located within 60 miles of ... Mentor junior data engineers, providing technical guidance, code reviews, and best practices ...

Alliance Technical Group

SR Data Engineer

Houston, TX · On-site +1

$109.30K - $131.20K/yr

This position is remote but may follow a hybrid schedule for candidates located within 60 miles of ... Mentor junior data engineers, providing technical guidance, code reviews, and best practices ...

My3Tech Inc

Sr. Cloud Data Engineer

Houston, TX · Remote

$53.25 - $71.25/hr

Sr. Azure Cloud Data Engineer Role: Sr. Azure Cloud Data Engineer Location ... Remote/Onsite every Thursday- Houston, TX Duration: 10+ Months (with the possibility of extension ...

Deloitte

Databricks Engineer

Houston, TX · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026 ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

Parkhill

Senior Data Scientist

Houston, TX · On-site +1

... Remote Yes Overview The Senior Data Scientist will leverage advanced analytics, machine learning ... We are more than planners, architects, and engineers - we are neighbors who choose to live and work ...

Parkhill

Senior Data Scientist

Houston, TX · On-site +1

... Remote Yes Overview The Senior Data Scientist will leverage advanced analytics, machine learning ... We are more than planners, architects, and engineers - we are neighbors who choose to live and work ...

Puma Staffing

Be Seen First

Software Engineer (Product & Infrastructure)

Houston, TX · Remote

$177.10K - $209.80K/yr

Confidential Search | Remote / Hybrid (Houston, TX Area) We are representing a high-growth technology partner currently scaling their core engineering and data infrastructure teams. We are seeking ...

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All JobsRemote Amazon Data Engineer JobsRemote Amazon Data Engineer Jobs in Houston, TX

Remote Amazon Data Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do remote amazon data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote amazon data engineer in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by Remote Amazon Data Engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What does a Remote Amazon Data Engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

What are the most commonly searched types of Amazon Data Engineer jobs in Houston, TX? The most popular types of Amazon Data Engineer jobs in Houston, TX are:
What are popular job titles related to Remote Amazon Data Engineer jobs in Houston, TX? For Remote Amazon Data Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Engineer jobs in Houston, TX look for? The top searched job categories for Remote Amazon Data Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Amazon Data Engineer jobs? Cities near Houston, TX with the most Remote Amazon Data Engineer job openings:
Remote Amazon Data Engineer jobs near you
Infographic showing various Remote Amazon Data Engineer job openings in Houston, TX as of May 2026, with employment types broken down into 2% Internship, 83% Full Time, 13% Contract, and 2% Nights. Highlights an 93% Physical, 6% Hybrid, and 1% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

Cloud Data Engineer

empyrean

Houston, TX • Remote

$109.30K - $131.30K/yr

Other

Posted 13 days ago

Empyrean rating

4.6

Company rating: 4.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

179th of 184 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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