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Data Recovery Engineer Jobs in Texas (NOW HIRING)

Sr Data Engineer

Irving, TX · On-site

$109.90K - $132K/yr

Sr. Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... and automated recovery mechanisms. * Collaborate with cross-functional teams, including data ...

Sr Data Engineer

Irving, TX · On-site

$109.90K - $132K/yr

Sr. Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... and automated recovery mechanisms. * Collaborate with cross-functional teams, including data ...

Big data engineer

Houston, TX · On-site

$53.25 - $70.50/hr

Big Data Engineer Location: Houston, TX- locals highly preferred Duration: Through 3/31/2017 Notes ... Operating Procedure) documentation, revision and ongoing updates Disaster recovery/failover ...

Sr. Data Engineer

Dallas, TX · On-site

$113.70K - $136.60K/yr

We are looking for a Senior Data Engineer, or similarly experienced data modernization professional ... Experience with pipeline orchestration, scheduling, dependency management, and failure recovery.

Sr. Data Engineer

Dallas, TX · On-site

$113.30K - $136K/yr

We are looking for a Senior Data Engineer, or similarly experienced data modernization professional ... Experience with pipeline orchestration, scheduling, dependency management, and failure recovery.

Data Quality Engineer

Dallas, TX · On-site

$62 - $65/hr

Data Quality Engineer (Databricks, Kafka, AWS) Location: Dallas, TX (Hybrid - 3 days onsite) Job ... Test retry logic, idempotency, and recovery mechanisms * Perform regression, soak, and failover ...

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Description Your Ideal Data Platform Engineer Job * Are you passionate about powering the data ... Implement lifecycle management, backup/recovery, and security protocols * 30% - Performance ...

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven ... Implement lifecycle management, backup/recovery, and security protocols * 30% - Performance ...

Data Platform Engineer

Austin, TX · On-site

$135K - $155K/yr

Description Your Ideal Data Platform Engineer Job * Are you passionate about powering the data ... Implement lifecycle management, backup/recovery, and security protocols * 30% - Performance ...

Implement dependency management, monitoring, alerting, and failure recovery mechanisms. * Build ... Mentor junior data engineers and provide technical guidance. * Be the SME for DBX and do knowledge ...

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven ... Implement lifecycle management, backup/recovery, and security protocols * 30% - Performance ...

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven ... Implement lifecycle management, backup/recovery, and security protocols * 30% - Performance ...

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Showing results 1-20

Data Recovery Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data recovery engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for data recovery engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Recovery Engineer, you need a strong background in computer science, data storage systems, and file system architecture, often supported by a degree in IT or related certifications. Familiarity with data recovery software, hardware imaging tools, and disk forensics platforms is typically required. Critical thinking, attention to detail, and strong problem-solving abilities are valuable soft skills for success in this role. These skills and qualities are crucial for accurately diagnosing data loss issues and ensuring the safe and effective recovery of critical information for clients.

What are some common challenges a Data Recovery Engineer faces during the recovery process?

Data Recovery Engineers often encounter challenges such as dealing with physically damaged storage devices, working with proprietary or outdated file systems, and ensuring data integrity throughout the recovery process. They must use specialized tools in cleanroom environments to prevent further damage to sensitive hardware. Additionally, engineers frequently collaborate with clients and IT teams to understand data priorities and provide clear communication about what data can realistically be recovered. Staying updated with evolving storage technologies and encryption methods is also crucial for success in this role.

What does a Data Recovery Engineer do?

A Data Recovery Engineer specializes in retrieving lost, corrupted, or inaccessible data from various storage devices such as hard drives, SSDs, USB drives, and servers. They use advanced tools and techniques to recover data after accidental deletion, hardware failure, software corruption, or cyberattacks. These professionals may also provide advice on best practices for data backup and protection to prevent future data loss. Their work is essential for businesses and individuals who need to recover important files quickly and securely.

What is the difference between Data Recovery Engineer vs Data Storage Technician?

AspectData Recovery EngineerData Storage Technician
CredentialsCertifications like CDFA, CompTIA Storage+Certifications like CompTIA Storage+ or vendor-specific
Work EnvironmentData recovery labs, IT departments, forensic labsData centers, server rooms, IT support environments
Industry UsageIT, cybersecurity, forensic analysisIT, enterprise storage management
Search/Comparison IntentUnderstanding roles related to data recovery and repairManaging and maintaining data storage systems

While both roles involve working with data systems, Data Recovery Engineers focus on retrieving lost or damaged data from storage devices, often requiring forensic skills. Data Storage Technicians manage and maintain storage hardware and systems. The roles overlap in certifications and work environments but differ in primary responsibilities.

Infographic showing various Data Recovery Engineer job openings in Texas as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Sr Data Engineer

Sr Data Engineer

Lennar

Irving, TX • On-site

$109.90K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago


Lennar rating

7.8

Company rating: 7.8 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

23rd of 77 rated construction


Job description

Sr. Data Engineer

We are Lennar

Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States.

Join a Company that Empowers you to Build your Future

Sr. Data Engineer is an experienced professional responsible for leading the development of complex data architectures. The role involves mentoring junior engineers, designing large-scale data solutions, and ensuring the reliability of data infrastructure. This position requires expertise in data engineering practices and a proactive approach to problem-solving.

  • A career with purpose.

  • A career built on making dreams come true.

  • A career built on building zero defect homes, cost management, and adherence to schedules.

Your Responsibilities on the Team

  • Lead the design and implementation of scalable, high-performance data architectures that support diverse data sources, including structured, semi-structured, and unstructured data.

  • Architect and build data pipelines that can process and analyze large-scale datasets in real-time and batch modes.

  • Mentor and guide junior data engineers in best practices, code quality, and technical skills, fostering a culture of continuous learning.

  • Ensure the reliability, efficiency, and security of data pipelines by implementing monitoring, alerting, and automated recovery mechanisms.

  • Collaborate with cross-functional teams, including data scientists, analysts, and product managers, to align data solutions with business needs and goals.

  • Lead the adoption of new technologies and tools that enhance the data engineering capabilities of the team.

  • Oversee the development of data models, schemas, and data marts that enable efficient data analysis and reporting.

  • Implement data governance frameworks, including data lineage, metadata management, and data quality standards.

Knowledge

  • Advanced SQL skills, including query optimization, indexing strategies, and data modeling techniques (e.g., star and snowflake schemas).

  • Expertise in programming languages such as Python, Java, or Scala, with experience in developing complex data processing algorithms.

  • In-depth knowledge of cloud data services and big data technologies, such as Snowflake, AWS EMR, Azure HDInsight, or Google Dataflow.

  • Experience with data streaming technologies, such as Apache Kafka, Apache Flink, or Amazon Kinesis, for real-time data processing.

  • Strong understanding of data lake architectures, data warehousing, and data integration techniques.

  • Proficiency in data pipeline orchestration tools, such as Apache Airflow, Prefect, or Dagster, for managing complex workflows.

  • Knowledge of data security frameworks and compliance standards (e.g., GDPR, HIPAA) and their application in data engineering.

  • Experience with DevOps practices, including CI/CD pipelines, infrastructure as code (e.g., Terraform, CloudFormation), and containerization (e.g., Docker, Kubernetes).

Requirements

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

  • 5-7 years of experience in data engineering or a related role, with a proven track record of delivering scalable data solutions.

  • AWS, Snowflake, Azure

  • AWS Glue, AWS Appflow, Prefect, dbt, S3, Qlik

  • SQL, Python, Java

  • Excellent ability to convey complex ideas to both technical and non-technical audiences.

  • Demonstrates advanced problem-solving skills, tackling complex issues with innovative solutions.

  • Models ethical behavior and decision-making, fostering a culture of trust within the team.

  • Thrives in high-pressure situations, maintaining effectiveness and composure.

  • Champions change initiatives and drives continuous improvement within the organization.

  • Leads cross-functional teams, ensuring alignment and cooperation across departments.

  • Provides strategic leadership, influencing team direction and mentoring future leaders.

  • Ensures accountability at all levels, holding team members responsible for their contributions.

#LI-CA1

Life at Lennar

At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits.

Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn for the latest job opportunities.

Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.


What Lennar employees say

Pay

Benefits

Hours and flexibility

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Get the full story on Breakroom


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About Lennar

Sourced by ZipRecruiter

Since 1954, Lennar has built over one million new homes for families across America. We build in some of the nation’s most popular cities, and our communities cater to all lifestyles and family dynamics, whether you are a first-time or move-up buyer, multigenerational family, or Active Adult.

Industry

Construction

Company size

5,001 - 10,000 Employees

Headquarters location

Miami, FL, US

Year founded

1954

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