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Professional Data Engineer Jobs in Rosenberg, TX

As one of the world's leading law firms, we seek dynamic individuals who share our commitment to service, innovation, and professional growth. Job Title Senior Data Engineer Location Atlanta, Boston ...

Sr Data Engineer

Houston, TX · On-site

$118K - $142K/yr

These professionals are responsible for ensuring the reliability, scalability, and efficiency of ... in a data engineering or platform role, ideally working with large, complex datasets; retail ...

Senior Data Engineer

Houston, TX · On-site

$55 - $60/hr

Senior Data Engineer (Long-Term Contract Opportunity) 📍 Downtown Houston, TX (Hybrid) 💲 $55 ... This is an excellent opportunity for a seasoned professional looking for a stable, multi-year ...

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$109K - $131K/yr

Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience * 5 or more years ...

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$109K - $131K/yr

Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience 5 or more years ...

Google Data Specialist

Houston, TX · On-site

$70K - $196K/yr

Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience working in agile delivery environments. Compensation at Accenture varies depending on a wide array ...

... Professional Data Engineer or Professional Cloud Architect certification · Prior experience at a large investor-owned electric or gas utility (serving 2M+ customers) · Experience with Foundry ...

Senior Data Engineer

Houston, TX

$101K - $137K/yr

Training & Professional Development * 401K Match w/ 2-year Vesting Period * Employee Stock Purchase Plan * Dynamic Culture & People - just to name a few! What's attractive about the Sr. Data Engineer ...

Senior Data Engineer

Houston, TX

$101K - $137K/yr

Training & Professional Development * 401K Match w/ 2-year Vesting Period * Employee Stock Purchase Plan * Dynamic Culture & People - just to name a few! What's attractive about the Sr. Data Engineer ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Training & Professional Development * 401K Match w/ 2-year Vesting Period * Employee Stock Purchase Plan * Dynamic Culture & People - just to name a few! What's attractive about the Sr. Data Engineer ...

... business professionals. We celebrate excellence, collaboration, and community and have been ... The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ...

Senior Data Engineer

Houston, TX

$101K - $137K/yr

Training & Professional Development * 401K Match w/ 2-year Vesting Period * Employee Stock Purchase Plan * Dynamic Culture & People - just to name a few! What's attractive about the Sr. Data Engineer ...

Experience with Data Engineering and building data pipelines * Experience scraping websites with ... This job operates in a professional office environment. Because of the collaborative, fast-paced ...

Experience with Data Engineering and building data pipelines * Experience scraping websites with ... This job operates in a professional office environment. Because of the collaborative, fast-paced ...

Showing results 21-40

Professional Data Engineer information

See Rosenberg, TX salary details

$39.7K

$115.7K

$158.4K

How much do professional data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for professional data engineer in Rosenberg, TX is $115,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $122,700.00 per year, depending on experience, location, and employer.

What is a professional data engineer?

A professional data engineer designs, builds, and maintains data pipelines and infrastructure to enable data collection, storage, and analysis. They often work with tools like SQL, Apache Spark, and cloud platforms, and require strong programming and data management skills. Certification and experience in data architecture are common for this role.

What is the difference between Professional Data Engineer vs Data Scientist?

AspectProfessional Data EngineerData Scientist
Required CredentialsCertifications like Google Cloud Professional Data Engineer, relevant degrees in computer science or data engineeringDegrees in statistics, data science, or related fields; certifications like Certified Data Scientist
Work EnvironmentDesigning data pipelines, managing data infrastructure, ensuring data qualityAnalyzing data, building models, deriving insights from data
Employer & Industry UsageTech companies, data-driven organizations focusing on data infrastructureResearch institutions, analytics firms, companies focusing on predictive modeling

The Professional Data Engineer primarily focuses on building and maintaining data infrastructure, ensuring data flows efficiently within organizations. In contrast, Data Scientists analyze data to extract insights and develop predictive models. Both roles often collaborate but serve different functions within data teams.

What cities near Rosenberg, TX are hiring for Professional Data Engineer jobs?

Cities near Rosenberg, TX with the most Professional Data Engineer job openings:

$194K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

Paul Hastings is a leading international law firm that provides innovative legal solutions to many of the world's top financial institutions and Fortune Global 500 companies. With a strong presence throughout the U.S., Asia, Europe, Latin America, and the Middle East, we have the global reach and extensive capabilities to provide personalized service wherever our clients' needs take us. As one of the world's leading law firms, we seek dynamic individuals who share our commitment to service, innovation, and professional growth.

Job TitleSenior Data EngineerLocationAtlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New YorkRegular/TemporaryRegularJob Description SummaryWe have an opening for a Senior Data Engineer.
The Senior Data Engineer is responsible for designing, building and maintaining modern data pipelines and data integration solutions in the Azure Cloud. This role enables enterprise analytics by delivering clean, timely and well-structured data to platforms such as Power BI. The Senior Data Engineer collaborates closely with architects, analysts and business stakeholders to deliver scalable, secure and efficient data solutions using Azure Data Factory, Azure Data Lake Storage (ADLS), Databricks, and Azure DevOps.Job Description

In this capacity, the Senior Data Engineer will:

  • Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake Storage (ADLS) andAzure Databricks;
  • Develop ELT frameworks for ingesting and transforming structured and semi-structured data from on-prem and cloud sources;
  • Implement robust DevOps pipelines for code versioning, testing, deployment and monitoring usingAzure DevOps;
  • Ensure pipeline performance, reliability and observability using tools like Azure Monitor and Log Analytics;
  • Collaborate with BI teams to support Power BI datasets and ensure optimal data model performance;
  • Automate environment setup, configuration and permissions using infrastructure-as-code where possible;
  • Write modular, testable code inPython or PySpark and manage version control with Git;
  • Support production operations, root cause analysis and performance tuning;
  • Maintain technical documentation for pipelines, data mappings and deployment processes;
  • Work as part of an Agile delivery team, participating in sprints, retrospectives and code review; and
  • Mentor junior data engineers and promote best practices in CI/CD, version control, and release management.

Proficiencies:

  • Advanced proficiency inAzure Data Factory,Azure Data Lake Storage (Gen2) andAzure Databricks;
  • Experience building and managingCI/CD pipelines in Azure DevOpsfor data solutions;
  • Strong SQL and ELT experience; familiarity with schema design (e.g., star, snowflake, denormalized);
  • Hands-on expertise withPySparkandDatabricks notebooks, including Delta Lake workflows;
  • Familiarity withGit, branching strategies and repository management withinAzure Repos;
  • Understanding of data security and privacy best practices in Azure (RBAC, managed identities, encryption);
  • Experience with Power BI dataflows, datasets and refresh configuration (preferred);
  • Familiarity with data cataloging and governance tools (e.g.,Microsoft Purview) a plus; and
  • Experience with Agile tools such as Azure Boards or JIRA.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering or related field (required);
  • 7+ years of data engineering or BI development experience;
  • 3+ years building data solutions inMicrosoft Azure Cloud;
  • 2+ years usingAzure DevOpsfor automated builds, releases and pipeline orchestration;
  • Proven experience working with structured and semi-structured data (Parquet, JSON, Avro); and
  • Experience in professional services, legal, or financial environments preferred.

The salary wage range for New York that we expect to pay for this position is a minimum of $134,500 and a maximum of $194,750 annually. The actual pay wage may vary based on experience or other relevant factors.

The salary wage range for Los Angeles that we expect to pay for this position is a minimum of $125,800 and a maximum of $182,450 annually. The actual pay wage may vary based on experience or other relevant factors.

The salary wage range for Boston that we expect to pay for this position is a minimum of $134,500 and a maximum of $194,750 annually. The actual pay wage may vary based on experience or other relevant factors.

Employees will be provided with an excellent career opportunity in a collaborative environment, in addition to a generous total compensation package with the opportunity to earn bonuses based on individual contribution and firm profitability.

The actual salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location in which the applicant lives and/or from which they will be performing the job. This role is exempt meaning it is not overtime pay eligible.

Eligible employees can participate in the Firm's comprehensive benefits program, which include the following:

  • Medical, Dental, Vision, Life/AD&D, Long Term Care, and Short- and Long-Term Disability

  • Flexible Spending Accounts and Health Savings Account

  • Healthcare Concierge and Advocacy

  • Lifestyle Spending Account

  • Voluntary 401(k) Plan and Profit Sharing

  • 10 Paid Holidays per year and a generous PTO Program

  • Family Support including Paid Parental Leave, Fertility Benefits, Breast Milk Shipping, Back-up Child Care, Elder Care, and Tutoring

  • Wellbeing programs (Employee Assistance Program, Relationship Support, Mental Health, Menopause and Midlife Health and Well-Being Events)

  • Retirement Plan Consulting

  • Anniversary Bonus Program

  • Professional Development Programs

  • Transportation and Commuter Benefits

  • International Travel Insurance

  • Critical Illness, Hospital Indemnity and Accident Insurance

  • Auto/Home/Pet Insurance

  • Prepaid Legal Insurance

  • Employee Discounts

  • And More!

The Firm fosters an open and inclusive work environment that enables us to provide clients with the innovative thinking of teams rich in talent, experience and creativity. We regularly host programs intended to increase cultural competencies and address key topics related to community, opportunity and inclusion. Learn more about our Global Inclusion initiatives here: Global Inclusion

Paul Hastings is an equal opportunity employer. Pursuant to applicable local law, we will consider qualified applicants with criminal histories in a manner consistent with the requirements of the relevant fair chance ordinance.