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Senior Data Engineer Manager Jobs in Dallas, TX (NOW HIRING)

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Sr Data Engineer

Dallas, TX · On-site

$105K - $143K/yr

Senior Data Engineer (Snowflake,DBT & DataStage) Remote W2 only We are seeking a Senior Data Engineer with strong experience in Snowflake, AWS, DataStage, and dbt/ELT tools to build and maintain ...

Senior Data Engineer (Remote)

Allen, TX · Remote

$110K - $130K/yr

As a Senior Data Engineer, you will work closely with our customer's department leads and project ... Complexity & Integration Management: Map out and resolve data dependencies across disparate ...

Sr.Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Senior Data Engineer / Databricks Engineer Location: Dallas, TX Duration: Long Term Client: SWA Experience: 7+ Years Role Overview We are looking for a strong Senior Data Quality Engineer ...

New

Senior Data Engineer

Plano, TX · On-site

$130K - $135K/yr

Job Title - Senior Data Engineer w/d Databricks and Python Experience (5) Location: Plano, TX and Wilmington, DE - 5 days onsite role, no hybrid Salary: $130-135K plus benefits We are looking for a ...

Senior Data Engineer

Dallas, TX · On-site

$104K - $142K/yr

We are looking for a highly skilled Senior Data Engineer with 10+ years of experience in designing, developing, and maintaining scalable data platforms and enterprise-grade data pipelines. The ideal ...

Senior Data Engineer

Dallas, TX · On-site

$104K - $142K/yr

The Senior Data Engineer (Data Warehouse & BI Platform) is responsible for the end-to-end design ... Strong experience designing and managing data warehouse architectures and ETL/ELT pipelines * Hands ...

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Senior Data Engineer Manager information

See Dallas, TX salary details

$80.1K

$125K

$173.1K

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

As of Aug 21, 2026, the average yearly pay for senior data engineer manager in Dallas, TX is $124,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $142,400.00 per year, depending on experience, location, and employer.

What does a Senior Data Engineer Manager do?

A Senior Data Engineer Manager oversees teams of data engineers responsible for designing, building, and maintaining an organization’s data infrastructure. They develop strategies for data architecture, ensure the quality and security of data systems, and collaborate with other departments to meet business goals. In addition to technical responsibilities, they manage team performance, provide mentorship, and align data initiatives with company objectives.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Manager?

To thrive as a Senior Data Engineer Manager, you need deep expertise in data engineering, architecture, and leadership, typically backed by a degree in computer science or a related field and several years of experience. Proficiency with big data tools (such as Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, or GCP), and data pipeline orchestration systems is essential, and certifications in these technologies can be advantageous. Exceptional communication, team management, and strategic thinking skills help you lead teams and align data solutions with business goals. These skills and qualities are vital for building scalable data infrastructure, fostering high-performing teams, and delivering actionable insights to drive organizational success.

What are some common challenges that Senior Data Engineer Managers face when leading data teams?

Senior Data Engineer Managers often encounter challenges in balancing strategic oversight with hands-on technical leadership. Managing cross-functional teams means coordinating efforts across data engineering, analytics, and business stakeholders, which can lead to complex communication and prioritization issues. Additionally, overseeing large-scale data infrastructure projects requires staying updated on evolving technologies while ensuring data quality and security. Effective delegation, fostering team growth, and aligning technical solutions with business goals are key to overcoming these challenges.

What is the difference between Senior Data Engineer Manager vs Data Engineer?

AspectSenior Data Engineer ManagerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often leadership experienceBachelor's in CS, Data Science, or related
Work EnvironmentLeads teams, manages projects, strategic planningDevelops data pipelines, coding, data modeling
Industry UsageCommon in organizations with large data teamsEntry to mid-level roles in data teams

The Senior Data Engineer Manager oversees data engineering teams and projects, focusing on leadership and strategy, while Data Engineers primarily build and maintain data pipelines and infrastructure. The managerial role requires leadership skills and experience, whereas Data Engineers focus on technical execution.

What are the most commonly searched types of Senior Data Engineer jobs in Dallas, TX?

The most popular types of Senior Data Engineer jobs in Dallas, TX are:

What are popular job titles related to Senior Data Engineer Manager jobs in Dallas, TX?

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

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

The top searched job categories for Senior Data Engineer Manager jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Senior Data Engineer Manager jobs?

Cities near Dallas, TX with the most Senior Data Engineer Manager job openings:

Infographic showing various Senior Data Engineer Manager job openings in Dallas, TX as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $124,968 per year, or $60.1 per hour.

Senior Data Engineer

Paul Hastings

Dallas, TX • On-site

$194K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 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.