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Manager Data Analytics Engineer Jobs (NOW HIRING)

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 ...

ADP, Inc.

Data Analytics Engineer

Austin, TX · On-site

$113K - $136K/yr

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data ... Promote best practices for data management and analytics. Collaboration & Business Partnership

PetersonCat

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

Management may assign or reassign the functions to this job at any time due to reasonable ... data engineering, business intelligence, or analytics roles, preferably in a heavy industrial ...

KORE1 Technologies

Data Analytics Engineer

Glen Allen, VA · On-site

$106K - $127K/yr

What You'll Do Help Build the Data Foundation * Execute the analytics engineering roadmap by ... Manage a modern analytics infrastructure by implementing and using tools like dbt, Snowflake, and ...

Baird

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Data Engineering & Data Management: * Contribute to the design, build, and maintenance of data ... Perform data analysis and profiling to understand source data and support quality outcomes

KORE1 Technologies

Data Analytics Engineer

Glen Allen, VA · On-site

$106K - $127K/yr

What You'll Do Help Build the Data Foundation * Execute the analytics engineering roadmap by ... Manage a modern analytics infrastructure by implementing and using tools like dbt, Snowflake, and ...

Parafin, Inc

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

... management, and savings tools to their small business users via a simple integration. Parafin takes ... About the Position We are looking for a Data Analytics Engineer to build and scale the data models ...

Samprasoft

Data Analytics Engineer

Towson, MD · Hybrid

$109K - $131K/yr

Currently this is being managed through manual processes. You will also assist with ETL from ... in Data Analysis * 5+ Years of Experience in SQL Database Programming * Strong Knowledge of ...

Parafin

Data Analytics Engineer

San Francisco, CA · Remote

$180K - $220K/yr

... management, and savings tools to their small business users via a simple integration. Parafin takes ... About the Position We are looking for a Data Analytics Engineer to build and scale the data models ...

Samprasoft

Data Analytics Engineer

Baltimore, MD · Hybrid

$113K - $136K/yr

Currently this is being managed through manual processes. You will also assist with ETL from ... in Data Analysis * 5+ Years of Experience in SQL Database Programming * Strong Knowledge of ...

Samprasoft

Data Analytics Engineer

Towson, MD · Hybrid

$109K - $131K/yr

Currently this is being managed through manual processes. You will also assist with ETL from ... in Data Analysis * 5+ Years of Experience in SQL Database Programming * Strong Knowledge of ...

National Trench Safety, LLC

Analytics Engineer

Houston, TX · On-site

$109K - $131K/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 ...

Purple Carrot

Data and Analytics

Dedham, MA · On-site

$900/wk

Description We are looking for an Analytics Engineer to join our mission-driven team. As an integral part of the Data team, you will join forces with the Sr. Manager, Data and Analytics (to whom you ...

EMCOR Group, Inc.

Data Analytics Engineer

Syracuse, NY · On-site

$80K - $110K/yr

Job Summary As a Data Analytics Engineer at John W. Danforth Company, you will play a critical role ... Support data governance initiatives, including metadata management, lineage, and compliance with ...

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Manager Data Analytics Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Sep 12, 2026, the average yearly pay for manager data analytics engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

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Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Analytics Engineer

Houston, TX • On-site

DEXTER TECHNOLOGIES INC
Recruiting and Staffing Services • 1 - 10 employees
Learn more about DEXTER TECHNOLOGIES INCexternal

$130K - $140K/yr

Full-time

Medical, Dental, Vision

Posted 22 days ago

Key responsibilities

  • Design, build, and maintain SQL views, staging tables, and fact/dimension models in the Azure SQL data warehouse, including deduplication and business-rule logic.

  • Build and maintain Power BI semantic models, reports, and dashboards for business stakeholders and company-wide reporting.

  • Monitor scheduled data pipelines, respond to failures, perform basic troubleshooting, and make minor modifications to existing pipelines to support business requirements.

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.