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Full Time Data Analytics Engineer Jobs (NOW HIRING)

Baird

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

KORE1 Technologies

Data Analytics Engineer

Glen Allen, VA · On-site

$180K - $200K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to support them * Design and build a single source of ...

Parafin, Inc

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

Haynes International

Data Analytics Engineer

Kokomo, IN · On-site

$101K - $121K/yr

The analytics engineer makes sure data is ingested, transformed, scheduled, and ready to be used for analytics. This role is responsible for designing, implementing, and maintaining data pipelines ...

Forus Inc

Data & Analytics Engineer

New York, NY · On-site

$170K - $250K/yr

All full-time roles are in person in New York. About the role As a Data & Analytics Engineer at Forus, you will build the data foundation that powers how we operate, measure, and grow. You will ...

EquipmentShare

Data Analytics Engineer

Columbia, MO · Remote

$109K - $130K/yr

We're hiring a Data Analytics Engineer to support our Corporate HQ Columbia, MO and we're looking ... Full medical, dental, and vision coverage for full-time employees * Generous PTO + paid holidays ...

CGI Inc.

Data & Analytics Engineer

Nashville, TN · On-site

$110K - $132K/yr

J0726-1758 Employment Type: Full Time Position Description: Do you want to take your career to the next level? CGI is looking for a dedicated and experienced Data and Analytics Engineer with a ...

Omega Solutions, Inc.

Data Analytics Engineer

Cambridge, MA · On-site

$126K - $151K/yr

Omega Solutions, Inc. is a company focused on providing data solutions, and they are seeking a Data Analytics Engineer. The role involves leading junior developers and supporting data engineering ...

Deloitte

Data & Analytics Engineer

San Jose, CA · Hybrid

$134K - $161K/yr

As an experienced Data & Analytics Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an ...

Deloitte

Data & Analytics Engineer

Austin, TX · Hybrid

$113K - $136K/yr

As an experienced Data & Analytics Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an ...

Peterson

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

Peterson Cat has a need for a Data & Analytics Engineer to work onsite at our San Leandro, CA location. WE ARE UNABLE TO PROVIDE SPONSORSHIP AT THIS TIME SUMMARY The Data & Analytics Engineer is ...

Syntricate Technologies

Data Analytics Engineer

Towson, MD · On-site

$109K - $131K/yr

Syntricate Technologies is seeking a Data Analytics Engineer to join their team. The role involves working with Azure Data Factory and Microsoft Power Platforms to develop analytical reports and ...

Deloitte

Data & Analytics Engineer

Raleigh, NC · Hybrid

$111K - $133K/yr

As an experienced Data & Analytics Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an ...

Kirkhill Inc.

Data Analytics Engineer

Brea, CA · On-site

$85K - $200K/yr

Job Role The Senior Data Analytics Engineer serves as a key technical and analytical partner within Kirkhill, developing and optimizing systems, data, analytics, and automation. This position ...

Kirkhill Inc.

Data Analytics Engineer

Brea, CA · On-site

$85K - $200K/yr

Job RoleThe Senior Data Analytics Engineer serves as a key technical and analytical partner within Kirkhill, developing and optimizing systems, data, analytics, and automation. This position supports ...

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Full Time Data Analytics Engineer information

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$44.5K

$129.7K

$177.5K

How much do full time data analytics engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for full time 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 does a full time data analytics engineer do?

A Full Time Data Analytics Engineer is responsible for designing, building, and maintaining systems that collect, process, and analyze large volumes of data. They work closely with data scientists and business stakeholders to develop pipelines and tools that transform raw data into meaningful insights. Their work involves data modeling, database management, and the use of analytics tools to help organizations make data-driven decisions. Additionally, they ensure data quality, security, and scalability within the analytics infrastructure.

What are the key skills and qualifications needed to thrive as a full time data analytics engineer?

To thrive as a Full Time Data Analytics Engineer, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, data visualization platforms (like Tableau or Power BI), and experience with cloud data systems or certifications (e.g., AWS, Google Cloud) are typical requirements. Exceptional problem-solving abilities, communication skills, and attention to detail help you interpret complex data and collaborate effectively with stakeholders. These skills are essential to transform raw data into actionable insights, driving business decisions and organizational growth.

What are some common challenges faced by full time data analytics engineers when working with diverse data sources?

Full Time Data Analytics Engineers often encounter challenges when integrating and cleaning data from multiple, disparate sources, such as databases, APIs, and flat files. Ensuring data quality, consistency, and compatibility across these sources can be complex and time-consuming. Additionally, the need to collaborate with both technical and non-technical stakeholders to understand data requirements and business objectives requires strong communication skills. Addressing these challenges is critical for delivering accurate and actionable insights.
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Full Time Data Analytics Engineer jobs near you
Infographic showing various Full Time Data Analytics Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% 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 23 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.