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

Milliman

Data Engineer (MedInsight)

Houston, TX · On-site +1

$93K - $177K/yr

MedInsight's engineering team is building the next generation of healthcare data analytics. We are ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

LiteBridge

Data Engineer (Junior)

Houston, TX · Remote

Participate in structured training on Palantir Foundry, data engineering, and client engagement ... Flexible, remote work environment. * Placement with international clients upon certification.

Cystems Logic Inc

Databricks Architect - Remote

Houston, TX · Remote

$61.75 - $81.25/hr

Remote Duration: 12 Months Contract We have below longterm job opening. If you are interested ... Must Have Technical/Functional Skills 10+ years of overall experience in data engineering or ...

Cystems Logic Inc

Databricks Architect - Remote

Houston, TX · On-site +1

$61.75 - $81.25/hr

Remote Duration: 12 Months Contract We have below longterm job opening. If you are interested ... Must Have Technical/Functional Skills 10+ years of overall experience in data engineering or ...

Wesco

Data platform Manager - IT

Houston, TX · Remote

Lead, mentor, and manage cross-functional data engineering and platform teams. * Drive talent ... Leadership ability as a creative, competent team builder. #LI-JB1 #LI-REMOTE This amount is what we ...

HungerRush

Engineering Manager, Reporting

Houston, TX · Remote

This is a remote role. What You'll Do Leadership & People Management Lead, mentor, and grow a team ... Azure Data Explorer (ADX) and KQL * SQL Server / T-SQL * Azure infrastructure (Azure Container Apps ...

NATIONMIND LLC

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Comfortable working with data engineers to validate datasets, metric logic, and dashboard performance. This is a remote position.

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All JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Houston, TX

Remote Data Engineering information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do remote data engineering jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote data engineering 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.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Houston, TX? The most popular types of Data Engineering jobs in Houston, TX are:
What are popular job titles related to Remote Data Engineering jobs in Houston, TX? For Remote Data Engineering jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Houston, TX look for? The top searched job categories for Remote Data Engineering jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Data Engineering jobs? Cities near Houston, TX with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Houston, TX as of June 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

Cloud Data Engineer

empyrean

Houston, TX • Remote

$109K - $131K/yr

Other

Posted 2 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 190 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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