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Data Engineer Jobs in Buda, TX (NOW HIRING)

Habitat Energy

Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

Data Engineer Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models ...

Dlapiper

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Apple

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between ...

Loxo

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

As an early hire to our engineering team, you will be responsible for managing Loxo's data integration function. You will be primarily responsible for migrating new clients' legacy data from their ...

Loxo

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

As an early hire to our engineering team, you will be responsible for managing Loxo's data integration function. You will be primarily responsible for migrating new clients' legacy data from their ...

Cross Screen Media

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced startup life. The ideal candidate doesn't just build pipelines - they think critically about how data ...

Apple

Data Engineer

Austin, TX

$137K - $250K/yr

We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between ...

Cross Screen Media

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced startup life. The ideal candidate doesn't just build pipelines - they think critically about how data ...

Apple

Data Engineer

Austin, TX

$137K - $250K/yr

We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between ...

Apple

Data Engineer

Austin, TX

$137K - $250K/yr

We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between ...

Hired Recruiters

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking for a Data Engineer to take significant ownership in building Monte Carlo's cloud service, data pipelines and ML platform. The role will involve end-to-end development: from helping ...

Pabst

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 data foundation behind our business. This role is all about turning complex data into scalable ...

Career Opportunities

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to architect, build, and maintain our next-generation data pipelines. You will be the technical subject matter expert on our Modern Data Stack, primarily ...

The University of Texas at Austin

Data Engineer I

Austin, TX · On-site

$113K - $136K/yr

The Data Engineer will be responsible for expanding and optimizing the healthcare system's data architecture and ensuring data quality, security, and accessibility to support clinical and operational ...

Charles Schwab

Data Engineer

Austin, TX

$113K - $136K/yr

We are looking for an energetic and accomplished Data Engineer (individual contributor) with a strong technology and solution delivery acumen who will be responsible for the successful design ...

Central Health

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

The Data Engineer is accountable for automating the import and export of enterprise data, ensuring data integrity across all internal and external systems, and building reliable, well-documented data ...

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All JobsData Engineer JobsData Engineer Jobs in Buda, TX

Data Engineer information

See Buda, TX salary details

$42K

$122.5K

$167.6K

How much do data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer in Buda, TX is $122,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $129,800.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What cities near Buda, TX are hiring for Data Engineer jobs? Cities near Buda, TX with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Buda, TX as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,478 per year, or $58.9 per hour.

Data Engineer

Habitat Energy

Austin, TX • Hybrid

$113K - $136K/yr

Full-time

Re-posted 17 days ago

Job description

Data Engineer

Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models and trading. By maximising the returns from these assets we aim to drive investment in renewable energy and accelerate the transition to a low carbon world. Our rapidly growing team of 130+ people in Austin, TX, Oxford, UK, and Melbourne, Australia brings together exceptionally talented and passionate people in the domains of energy trading, data science, software engineering and renewable energy management.

We have a vacancy for a Data Engineer to join our Austin based team.

Your responsibilities will include:

  • Supporting Data Engineering Infrastructure: 
    • Contribute to the design, development, implementation and continuous improvement of our data engineering tools, workflows, processes, and platforms. This includes enhancing the architectural foundations and integrating new data management technologies.
  • Writing Well-Structured Code: 
    • Develop clean, maintainable, well-documented code that adheres to best practices. Support best coding practices within Habitat's software, machine-learning, and data science teams.
  • Enhance data engineering knowledge: 
    • Improve expertise within the software team and ensure their ability to support and collaborate on the data infrastructure infrastructure.
  • Data Quality Management: 
    • Continuously enhance data quality across multiple dimensions such as accuracy, availability, performance, and accessibility to ensure a clear understanding of data within the company.
  • Providing backup/escalation to the tech-on-call team.
  • Communicating effectively across Software and Data Science teams.

Requirements

Preferred skills and experience:

  • 3+ years of Python experience.
  • 3+ years of working in technical teams, building data pipelines, delivering productionised code, building/maintaining live applications, developing tooling and improving backtesting frameworks.
  • Experience in applying relational database design.
  • Proficiency with Orchestration and IaC in AWS (e.g. Terraform, Kubernetes, RabbitMQ, Airflow, Prefect), Git, containerisation (Docker), database management (e.g. Postgres, Alembic).
  • Fluent in Python and its wider numerical ecosystem (e.g. Pandas, NumPy, Polars, Pydantic).

'Nice to have' skills and experience:

  • 2+ years of orchestrating machine learning workflows.
  • Experience with OSS data warehousing tooling and management.
  • Cloud infrastructure experience.
  • Experience with monitoring frameworks (e.g. Prometheus).
  • Experience archiving data to Parquet on S3 and creating tools for API/Grafana queries.
  • Experience centralising diverse datasets for analytics, visualisation and machine learning.
  • Familiarity with time-series forecasting and/or optimisation.
  • Experience with data visualisation and dashboards (e.g. Grafana, Superset).
  • Familiarity with machine learning and associated techniques (feature engineering, boosting methods, LightGBM).

Ultimately we are looking for someone who is a great fit for our company so we encourage you to apply even if you may not meet every requirement in this posting. We value diversity and our environment is supportive, challenging and focused on the consistent delivery of high quality, meaningful work.

In return, we'll give you a competitive salary, flexible working arrangements and a lot of personal development opportunities. We operate a hybrid working model with at least 2 days in our office in Austin.

When you apply for a job with us, we process some of your personal information. You can find out more about how we process your information on our company website: https://habitat.energy/privacy-policy/. 

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