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Software Developer Data Analyst Jobs in Houston, TX

DEXTER TECHNOLOGIES INC

Data Analytics Engineer

Houston, TX · On-site

$130K - $140K/yr

... 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 ...

DEXTER TECHNOLOGIES INC

Data Analytics Engineer

Houston, TX · On-site

$109K - $131K/yr

... 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 ...

Singletonet

Software Developer

Houston, TX · On-site

Database Design & Data Management * Design and maintain relational and non-relational databases ... Strong analytical and problem-solving skills. Technical Skills Candidates should demonstrate ...

NAVA Software Solutions

Software Developer

TX · On-site

Apply proven communication, analytical, and problem-solving skills to ensure that project ... Provide data and input for generation of statistics and reports for management and/or team members ...

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

We are seeking a motivated and detail-oriented Data Analyst to join our team at Insolation Technology LTD , an established engineering consulting firm. The Data Analyst will be responsible for ...

CGI Inc.

Software Developer - Entry Level

Houston, TX · On-site

Software Development/ Engineering Main location: United States, Texas, Houston Position ID:J0826 ... data analysis tools and technologies such as SQL, data visualization tools (e.g., Power BI or ...

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Software Developer Data Analyst information

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How much do software developer data analyst jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for software developer data analyst in Houston, TX is $44.50, according to ZipRecruiter salary data. Most workers in this role earn between $33.75 and $53.27 per hour, depending on experience, location, and employer.

Can a data analyst become a software developer?

A data analyst can transition to a software developer role by learning programming languages such as Python, Java, or C++, and gaining experience with software development tools and practices. Many skills from data analysis, like problem-solving and understanding data structures, are transferable, but additional coding and development experience are typically required.

What pays more, a software developer or a data analyst?

Software developers generally earn higher salaries than data analysts due to the demand for programming skills, experience with coding languages, and involvement in software creation. Data analysts typically have lower starting salaries but can increase earnings with advanced analytics skills, certifications, and experience working with tools like SQL, Python, or R.

What cities near Houston, TX are hiring for Software Developer Data Analyst jobs?

Cities near Houston, TX with the most Software Developer Data Analyst job openings:

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 19 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.