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Remote Data Engineer Jobs in Spring, TX (NOW HIRING)

Cloud Data Engineer

Houston, TX · Remote

$109.30K - $131.30K/yr

This role is ideal for someone with deep hands-on engineering expertise in cloud data ecosystems ... Remote

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

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 ...

Senior Data Engineer, Python

Houston, TX · On-site +1

$109.30K - $131.30K/yr

By streamlining data integration and enhancing collaboration, we help operators, engineers, and financial teams make informed decisions faster. Trusted by top energy companies, ComboCurve delivers ...

Senior Data Engineer

Houston, TX · Remote

$108.50K - $147.40K/yr

Job SummaryThe Data Engineer - Asset Management Analytics supports internal Asset Management and Asset Accounting customers by delivering AI-driven analytics products that support asset onboarding ...

Senior Data Engineer

Houston, TX · On-site +1

$101.20K - $137.50K/yr

Job Summary The Data Engineer - Asset Management Analytics supports internal Asset Management and Asset Accounting customers by delivering AI-driven analytics products that support asset onboarding ...

AI and Data Science Engineer III

Houston, TX · On-site +1

$109.30K - $131.30K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

Accounts Receivable Clerk

Houston, TX · On-site +1

$18.25 - $23/hr

Automation Solutions LP (AUTOSOL) is a Houston-based company with a focus on remote data ... engineer time, lump-sum projects, and reimbursable expenses (including travel). This role reports ...

PLTR Developer Location: Remote Duration: 12 Months Contract We have below longterm job opening. If ... The ideal candidate will have strong expertise in data integration analytics pipeline development ...

PLTR Developer Location: Remote Duration: 12 Months Contract We have below longterm job opening. If ... The ideal candidate will have strong expertise in data integration analytics pipeline development ...

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Remote Data Engineer information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do remote data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote data engineer in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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 in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

What are the most commonly searched types of Data Engineer jobs in Spring, TX? The most popular types of Data Engineer jobs in Spring, TX are:
What are popular job titles related to Remote Data Engineer jobs in Spring, TX? For Remote Data Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Spring, TX look for? The top searched job categories for Remote Data Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Data Engineer jobs? Cities near Spring, TX with the most Remote Data Engineer job openings:
Databricks Data Engineer - Remote with Travel 25%

Databricks Data Engineer - Remote with Travel 25%

K Anand Corporation

Houston, TX • Remote

$109.30K - $131.30K/yr

Other

Posted 16 days ago


Job description

Role- Databricks Data Engineer

Work Location: Houston (TX)- Remote with Travel

Skills-

Data Engineer

We are seeking an Databricks Data Engineer who can play a crucial role in our Fintech data lake project.

What You Bring

- 4+ years of experience working in data warehousing systems

- 2+ strong hands-on programming expertise in Databricks landscape, including SparkSQL, Workflows for data processing and pipeline development

- 2+ strong hands-on data transformation/ETL skills using Spark SQL, Pyspark, Unity Catalog working in Databricks Medallion architecture

- 1+ yrs work experience in one of cloud platforms: Azure, AWS or Google Cloud Platform

- Good exposure to Git version control, and CI/CD best practices

- Experience in developing data ingestion pipelines from ERP systems (Oracle Fusion preferably) to a Databricks environment, using Fivetran or any alternative data connectors is a plus

- Experience in a fast-paced, ever-changing and growing environment

- Understanding of metadata management, data lineage, and data glossaries is a plus.

What You'll Do

- Involve in design and development of enterprise data solutions in Databricks, from ideation to deployment, ensuring robustness and scalability.

- Work with Sr. Data Engineer to build, and maintain robust and scalable data pipeline architectures on Databricks using PySpark and SQL

- Assemble and process large, complex ERP datasets to meet diverse functional and non-functional requirements.

- Involve in continuous optimization efforts, implementing testing and tooling techniques to enhance data solution quality

- Focus on improving performance, reliability, and maintainability of data pipelines.

- Implement and maintain PySpark and databricks SQL workflows for querying and analyzing large datasets

Qualifications

- Bachelors Degree in Computer Science, Engineering, Statistics, Finance or equivalent experience

- Good communication skills