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Senior Data Analytics Developer

US - TX, San Antonio

Pay
$75,200–112,900/year — pay source
Familiarity with DevSecOps, CI/CD pipelines, and data platform automation. The annual salary range for this position is $75,200.00-$112,900.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Apply at Guidehouse

What you’ll work on

Full posting
  • Design and optimize enterprise data lakes, data warehouses, and dimensional models

  • Build and maintain secure, scalable data ingestion and integration pipelines

  • Develop and support ETL/ELT processes using modern data engineering tools

  • Create and support reports, dashboards, and semantic data layers

  • Partner with business and technical stakeholders on data solutions

From the employer’s posting
Design, develop, and optimize enterprise data lakes, data warehouses, and dimensional data models.
Build and maintain secure, scalable data ingestion and integration pipelines
Develop and support ETL/ELT processes leveraging modern data engineering tools and platforms.
Create and support reports, dashboards, and semantic data layers that provide actionable business insights.
Partner with business and technical stakeholders to deliver high-quality data solutions

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field.

Preferred experience

  • Experience applying AI-enabled tools and techniques to enhance data engineering and analytics capabilities, including:
  • Experience supporting cloud-based data and analytics environments.
  • Data modeling acceleration
  • Familiarity with DevSecOps, CI/CD pipelines, and data platform automation.
Qualification wording
Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field.
Experience applying AI-enabled tools and techniques to enhance data engineering and analytics capabilities, including:
Experience supporting cloud-based data and analytics environments.
Data modeling acceleration
Familiarity with DevSecOps, CI/CD pipelines, and data platform automation.
Education & alternatives
- Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred - Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field. - THREE (3) or more years of experience designing, developing, and optimizing enterprise data platforms and analytics solutions.

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

In the employer’s words · Read in context

Posting record

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Status in our records
Live
First seen by us
Sep 23, 2026 · 32 days ago
Recorded sightings
88
Last seen by us
Oct 25, 2026

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Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on guidehouse.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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Job description

View original posting ↗

Job Family:

Data Science (DAN)


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do

  • Design, develop, and optimize enterprise data lakes, data warehouses, and dimensional data models.

  • Build and maintain secure, scalable data ingestion and integration pipelines to support enterprise analytics and reporting needs.

  • Develop and support ETL/ELT processes leveraging modern data engineering tools and platforms.

  • Partner with business and technical stakeholders to deliver high-quality data solutions and enable data-driven decision making.

  • Create and support reports, dashboards, and semantic data layers that provide actionable business insights.

What You Will Need

  • Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field.

  • THREE (3) or more years of experience designing, developing, and optimizing enterprise data platforms and analytics solutions.

What Would Be Nice To Have

  • Experience applying AI-enabled tools and techniques to enhance data engineering and analytics capabilities, including:

    • Data modeling acceleration

    • SEMOSS (Semantic Open Source Software)

    • Anomaly detection and monitoring

    • Automated pipeline development and optimization

    • AI-assisted analytics and reporting

    • Machine learning and predictive analytics concepts

  • Experience supporting cloud-based data and analytics environments.

  • Familiarity with DevSecOps, CI/CD pipelines, and data platform automation.

The annual salary range for this position is $75,200.00-$112,900.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com.  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Source details

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Pay
Familiarity with DevSecOps, CI/CD pipelines, and data platform automation. The annual salary range for this position is $75,200.00-$112,900.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Location & working pattern

US - TX, San Antonio

Working pattern and location restrictions need checking in the full posting.

Work authorization

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