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Manager Data Analytics Engineer Jobs in Texas (NOW HIRING)

DEXTER TECHNOLOGIES INC

Data Analytics Engineer

Houston, TX · On-site

$130K - $140K/yr

Data Analytics Engineer Location: Houston TX (4 days in office) Type: Full Time This role is a ... You'll work closely with the Sr. Manager, Data & Analytics, and with business stakeholders across ...

New

ResolveTech Solutions Inc.

Data Analytics Engineer

Spring, TX · On-site

$96K - $116K/yr

Data Engineer / Analytics Engineer Location: Spring, TX Local candidates only - must be located ... master data management Ideal Candidate: Strong analytical and problem-solving skills with the ...

Indigo Beam Consulting

Analytics Engineer

Houston, TX · On-site

$99K - $118K/yr

Hybrid - Onsite 4 days per week Reports To: Sr. Manager, Data & Analytics ABOUT THE ROLE We are seeking an Analytics Engineer to join our Data & Analytics team and play a key role in designing ...

Xpect Solutions

Data Analytics Engineer

Crystal City, TX · On-site

$99K - $119K/yr

Data Analytics Engineer ID: 1000000059 Location: Crystal City, VA Clearance Level: Obtain Public ... Data management and aggregation patterns (data warehouse, data mart, data lake, delta lake ...

National Trench Safety, Inc

Analytics Engineer

Houston, TX · On-site

$99K - $118K/yr

The Analytics Engineer will own the layer between raw data and finished reporting, combining SQL ... This hybrid role partners with the Sr. Manager, Data & Analytics and business stakeholders across ...

Dexter Technologies, Inc.

Be Seen First

Analytics Engineer - Direct Hire

Houston, TX · On-site

$120K - $145K/yr

Analytics Engineer Location: Houston, TX Type: Full-time This role is a hybrid, bridging the gap ... You'll work closely with the Sr. Manager, Data & Analytics, and with business stakeholders across ...

New

Dexter Technologies, Inc.

Be Seen First

Analytics Engineer - Direct Hire

Houston, TX · On-site

$120K - $145K/yr

Analytics Engineer Location: Houston, TX Type: Full-time This role is a hybrid, bridging the gap ... You'll work closely with the Sr. Manager, Data & Analytics, and with business stakeholders across ...

New

Apple

Data & Analytics Engineer, AiDP

Austin, TX

$113K - $136K/yr

... and manage workflows using tools such as Airflow, Prefect, or Dagster Optimize pipelines and ... in data engineering, analytics engineering, or a related role in a production environment ...

US Bank

Infrastructure Data Analytics Engineer

Irving, TX · On-site

$109K - $132K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating ... Infrastructure monitoring platforms * CMDB and asset management systems * Cloud platforms (Azure ...

Apple

Data & Analytics Engineer, AiDP

Austin, TX · On-site

$113K - $136K/yr

We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation that powers this platform. In this role, you will develop robust data pipelines and analytics ...

Oscar Health

Manager, Data Analytics

Dallas, TX · Hybrid

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health ... Partner with engineering and data teams to find solutions to data issues within a complex system ...

Gartner

Manager, Data Analytics

Irving, TX · On-site

Partner with stakeholders (e.g., IT,Interactions Operations,Content Analytics,Data Engineering, Data Science,and Global Product Management) to understand business needs and capabilities and ...

Gartner

Manager, Data Analytics

Irving, TX · On-site

Partner with stakeholders (e.g., IT,Interactions Operations,Content Analytics,Data Engineering, Data Science,and Global Product Management) to understand business needs and capabilities and ...

MCKESSON

Manager, Data Analytics

Irving, TX

Manager, Data Analytics We're looking for someone who can sit between the business and the ... partnering with engineering to make it happen Minimum Requirement Degree or equivalent and ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Texas

Manager Data Analytics Engineer information

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Texas?

The most popular types of Data Analytics Engineer jobs in Texas are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Texas?

For Manager Data Analytics Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Texas look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Texas are:

What cities in Texas are hiring for Manager Data Analytics Engineer jobs?

Cities in Texas with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Analytics Engineer

DEXTER TECHNOLOGIES INC

Houston, TX • On-site

$130K - $140K/yr

Full-time

Medical, Dental, Vision

Posted 2 days ago

New

Job description

Benefits:
  • Dental insurance
  • Health insurance
  • Vision insurance

Hi,
We are actively seeking qualified candidates for the following position for our client, who is an industry leader:
 
Data Analytics Engineer
Location: Houston TX (4 days in office)
Type: Full Time 
 
This role is a hybrid, bridging the gap between data engineering and business intelligence.  You'll spend part of your time writing and optimizing SQL — building staging tables, views, and fact/dimension models — and part of your time building semantic models and reports in Power BI. Keeping an eye on our scheduled data pipelines, you’ll handle first-line troubleshooting when something fails. You'll work closely with the Sr. Manager, Data & Analytics, and with business stakeholders across Finance, Operations, and other functions who depend on accurate, well-modeled data.
This is a great fit for someone who wants breadth — real ownership across the data stack — on a team small enough that your work visibly matters.
 
Key Responsibilities
·       Data modeling & SQL: Design, build, and maintain SQL views, staging tables, and fact/dimension models in our Azure SQL data warehouse, including deduplication and business-rule logic (e.g., status-based routing, multi-source reconciliation).
·       Semantic models & reporting: Build and maintain Power BI semantic models — relationships, DAX measures, security roles — and the reports and dashboards built on top of them for business stakeholders and company-wide reporting.
·       Pipeline support: Share responsibility with the Sr. Manager, Data & Analytics for monitoring scheduled Azure Data Factory pipelines and Power BI dataset refreshes. Respond to failures and perform basic troubleshooting.
·       Pipeline modifications: Make minor modifications to existing pipelines to support new or changing business requirements, as your familiarity with the tooling grows. 
·       Business partnership: Partner with business SMEs to translate reporting requests and business logic (commission structures, revenue recognition, inventory rules, etc.) into accurate, well-documented data models.
·       Documentation: Write and maintain documentation for data models, metric definitions, and report logic so that data lineage and ownership are clear beyond any one person.
·       Standards & quality: Follow and help evolve team standards for naming conventions, DAX style, and semantic model design as the team's practices mature.
  • Continuous Improvement: Proactively identify opportunities for process improvements, optimize current data workflows, and incorporate new technologies or tools to enhance data analytics capabilities.
Knowledge and Skills  
Required
·       3+ years in a data-focused role (analytics engineer, BI developer, data analyst, or similar) with hands-on SQL work — comfortable with CTEs, window functions, and reading/writing complex, multi-source views.
·       Solid Power BI experience beyond report formatting — you've built semantic models from scratch and written DAX involving CALCULATE, filter context, and context transition, not just basic aggregations.
·       Dimensional modeling fundamentals (star schemas, slowly changing dimensions).
·       A track record of working directly with business stakeholders to translate ambiguous requirements or business rules into a working data model.
·       Strong attention to detail with data integrity — you double-check your joins and know how a bad join or an inclusive date boundary can quietly break a report.
Preferred
·       Exposure to an ERP or other core business system as a data source (order, invoicing, or GL data) -  you understand that business rules, not just dates, often drive how records should be deduplicated or classified.
·       Understanding of ETL/ELT concepts and working knowledge of orchestration tools like Azure Data Factory or similar tools for automating data pipelines.
·       Familiarity with Microsoft Fabric Administration and Environment (Lakehouses, Dataflows Gen2) — not required, but a plus given our platform direction.
·       Basic Git / source control experience.
·       Python for data tasks.
  • Knowledge of data quality frameworks and data governance practices. 
Qualifications
  • Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field. Master’s degree is a plus.
  • 3+ years in a data-focused role (analytics engineer, BI developer, data analyst, or similar) with hands-on SQL work — comfortable with CTEs, window functions, and reading/writing complex, multi-source views.

Flexible work from home options available.