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Remote Data Jobs in Lockhart, TX (NOW HIRING)

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter* We are looking for a passionate Security Data Analyst/Python Developer to ...

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

This is a local or remote role supporting a hybrid workforce with an expected 40 hours per week. Our Stack: * Python * Linux * Databases: Elasticsearch, SQL, Databricks * AWS (EC2, RDS, SQS, S3 ...

Business Data Analyst Austin, Texas (Hybrid - 3 Days Onsite | 2 Days Remote) Experience: Minimum 12+ Years Mandatory Requirements • Minimum 4+ years of recent hands-on experience with Texas HHSC ...

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and innovation? Role Overview & Key Interactions As a Data Platform Engineer at Quik!, you will be a ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

This is a fully remote position. Face to face communication is important to us, so we have ... Design and develop data pipelines, with an eye toward how they fit into the broader data ...

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

About the role We're looking for a Senior Data Engineer to join us and work with our client\'s Data ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

About the role We're looking for a Senior Data Engineer to join us and work with our client\'s Data ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and innovation? Role Overview & Key Interactions As a Data Platform Engineer at Quik!, you will be a ...

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and innovation? Role Overview & Key Interactions As a Data Platform Engineer at Quik!, you will be a ...

Austin, TX (Remote for Anywhere in Texas) Duration: 3 Years Must have : Oil & Gas Industry Primary Skills: Data Architecture, Data Modeling, Power BI, Tableau, SSRS, ETL/ELT, Data Warehousing, KPI ...

Engage professionally with clients to obtain required data in a timely and efficient manner ... Ability to manage multiple priorities and meet deadlines in a fast-paced environment #LI-REMOTE #LI ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

About This Role We're seeking a talented and driven Data Engineer to help us elevate our data ... Remote worker reimbursement of $300/year * Professional development reimbursement Not sure if you ...

Data Center Construction Manager

Austin, TX · On-site +1

$119K/yr

Data Center Construction Manager As a Data Center Construction Manager, you lead day-to-day ... Flexibility & Remote Opportunities Whether in-office, hybrid, or fully remote, we offer the ...

Sr. Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

This position is based in Austin, Texas, but remote work is available. Who are you? * You have strong product ownership and good intuition on how data is used to drive business decisions * You strive ...

Showing results 21-40

Remote Data information

See Lockhart, TX salary details

$42.3K

$151.6K

$223.8K

How much do remote data jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote data in Lockhart, TX is $151,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,700.00 and $156,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible, making them accessible to a wide range of job seekers.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Lockhart, TX? The most popular types of Data jobs in Lockhart, TX are:
What cities near Lockhart, TX are hiring for Remote Data jobs? Cities near Lockhart, TX with the most Remote Data job openings:
Infographic showing various Remote Data job openings in Lockhart, TX as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $151,648 per year, or $72.9 per hour.

Data Processing Engineer

SpyCloud

Austin, TX • On-site, Remote

$111K - $144K/yr

Full-time

Posted 20 days ago


Job description

*The ideal candidate for this role would work hybrid (2 days per week) in our Austin, Texas headquarters. We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter*

We are looking for a passionate Security Data Analyst/Python Developer to help us parse, transform, and analyze dirty data. The ideal candidate has a thorough understanding of Python, Data analysis techniques, AWS, ETL patterns, and Automation techniques. This is a local or remote role supporting a hybrid workforce with an expected 40 hours per week.

Our Stack:

  • Python
  • Linux
  • Databases: Elasticsearch, SQL, Databricks
  • AWS (EC2, RDS, SQS, S3, Lambda, API Gateway, and more)

What You'll Do:

  • Parse, clean, and transform structured and unstructured datasets to the spycloud schema.
  • Build Python-based automation for the parsing platform.
  • Bring order to dirty and/or unstructured data.
  • Develop ETL-style automation scripts.
  • Monitor the ingestion process for issues.
  • Collaborate with the team to design and build innovative data systems.
  • Analyze data based on the consumption of blogs for the marketing team.
  • Develop processes, standards and CI/CD pipelines to manage our codebase.
  • Leverage AI to help automate parsing dirty datasets

Requirements:

  • 5-7 years of professional experience as a Python developer.
  • A love of working with data.  Familiarity with cleaning/transforming data.
  • Experience building data solutions and automation tools using Python.
  • Proficient in Linux bash/ksh scripting and Regular Expressions.
  • Interest in cybersecurity.
  • Strong understanding of computer science fundamentals (data structures, algorithms, data processing).
  • Experience with relational and NoSQL databases.
  • Excellent communication skills.
  • Great team player.
  • Self-directed, empathetic, and eager to automate repetitive tasks.
  • Able to switch contexts as business needs change.

Nice to Have:

  • Background or strong interest in cybersecurity.
  • Familiarity with Git version control system.
  • Experience with AWS (Compute, Storage, Database).
  • Experience working with Infrastructure as Code (we use Terraform and Ansible).

Base Salary Range: $111,000 - 144,000

The salary range reflects the expected base compensation for a fully qualified candidate at this level based on experience, qualifications, and market data at the time of posting.