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Remote Senior Data Engineer Jobs in Manor, TX (NOW HIRING)

Data Engineering owns the pipeline infrastructure, orchestration, deployment mechanisms, and ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

Senior Data Scientist, Applied ML

Austin, TX · On-site +1

$154K - $200K/yr

You'll build the preprocessing and feature engineering pipelines your own models depend on, and you ... In addition to our engaging workspace in South Austin, flexible and remote-friendly work options ...

Lead Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas and Florida. We are seeking an experienced Lead Data Engineer to join our Data ...

Lead Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas and Florida. We are seeking an experienced Lead Data Engineer to join our Data ...

Data Engineer II

Austin, TX · On-site +1

$113K - $136K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

Senior Data Scientist, Applied ML

Austin, TX · On-site +1

$154K - $200K/yr

We're looking for a Senior Data Scientist, Applied ML to design, build, and deploy models for ... You'll build the preprocessing and feature engineering pipelines your own models depend on, and you ...

Data Engineer II

Austin, TX · On-site +1

$113K - $136K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

The Role We're looking for a Data Engineer to join our Data Systems team and help build the modern ... Why You'll Love It Here Flexibility Work that fits your life - with a remote work schedule ...

The Role: We're hiring a Senior Data Scientist to embed within the marketing and growth function ... This role sits at the intersection of data engineering, modeling, and storytelling. You'll work ...

The Role: We're hiring a Senior Data Scientist to embed within the marketing and growth function ... This role sits at the intersection of data engineering, modeling, and storytelling. You'll work ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

Showing results 21-40

Remote Senior Data Engineer information

See Manor, TX salary details

$87.3K

$136.2K

$188.7K

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

As of Sep 4, 2026, the average yearly pay for remote senior data engineer in Manor, TX is $136,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $155,200.00 per year, depending on experience, location, and employer.

What is a remote senior data engineer?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

What are the key skills and qualifications needed to thrive as a remote senior data engineer?

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.

How does a remote senior data engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

What is the difference between Remote Senior Data Engineer vs Data Scientist?

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Remote Senior Data Engineer jobs in Manor, TX?

For Remote Senior Data Engineer jobs in Manor, TX, the most frequently searched job titles are:

What job categories do people searching Remote Senior Data Engineer jobs in Manor, TX look for?

The top searched job categories for Remote Senior Data Engineer jobs in Manor, TX are:

What cities near Manor, TX are hiring for Remote Senior Data Engineer jobs?

Cities near Manor, TX with the most Remote Senior Data Engineer job openings:

Infographic showing various Remote Senior Data Engineer job openings in Manor, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $136,198 per year, or $65.5 per hour.

Senior Data Scientist

ActivTrak

Austin, TX • Remote

Full-time

Posted 9 days ago


Job description

We're growing our Data Science team to ship production machine learning that powers ActivTrak's next generation of workforce intelligence products. This is a hands-on role built around production ownership: you take a problem from formulation through a shipped, monitored model, not just to a notebook.

You'll work on problems like:

  • Predicting user roles and classifying activity from behavioral event data
  • Cross-account benchmarking that turns aggregate usage patterns into product-differentiating insight
  • Making pragmatic tradeoffs between model sophistication, business value, reliability, latency/cost, and iteration speed
  • Partnering with our Data Engineers, who take your models and analysis and turn them into durable, scalable production systems

Where this role starts and ends: You own problem formulation, feature definition, model and scoring logic, evaluation, and ongoing model performance in production. Data Engineering owns the pipeline infrastructure, orchestration, deployment mechanisms, and operational reliability that put your work into production. The primary ownership is clear, but you'll work together across that boundary when production issues span model and platform - your job is the model delivering the intended outcome and improving over time.

This is an individual-contributor role with substantial ownership over your problem space. It does not include people-management responsibilities.

Requirements

Must-Haves:

  • 5+ years bringing machine learning to production at scale, with direct experience making the sophistication/speed/reliability tradeoffs described above
  • Strong Python and production-grade software engineering practices (testing, code review, version control)
  • Experience with classification/prediction problems on behavioral, event, or user activity data
  • Strong SQL and comfort working directly against production data sources, not just flat files or CSVs
  • Experience with feature engineering: defining, standardizing, and validating features for production models
  • Experience monitoring model quality after deployment and responding to drift or degradation, not just shipping and moving on

Nice-to-Haves:

  • Time series analysis and/or hidden state models
  • Parallel dataframes (Dask, Spark, or similar)
  • Comfort working within a layered/medallion-style data architecture (raw cleansed/identified aggregated/de-identified)
  • Feature store experience (versioning, storage, reuse)
  • Cloud environment experience (GCP or AWS), and general comfort operating around containerized/orchestrated infrastructure (Docker, Kubernetes) even if you're not the one building it

Benefits

Why Should You Apply?

  • Own production ML that reaches customers and improves through real-world feedback
  • Work on a genuinely uncommon ML problem: behavioral event data from 9,500+ customer organizations, used for role prediction, activity classification, and cross-account benchmarking
  • Small, senior team with real ownership and visibility to leadership

Work environment

  • Position is remote within US
  • Minimal travel
  • Limited physical demands 

This is an incredible opportunity to embark on an exciting journey with a dynamic, VC-backed company.  If you have a proven track record of creative thinking, a drive for learning, and a deep commitment to collaboration, we want to talk to you! 

ActivTrak is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. ActivTrak does not discriminate on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, age, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.