Data Analytics Developer

Guidehouse

Charlotte (NC)

Presencial

USD 90.000 - 125.000

Jornada completa

hace 29 horas
Sé de los primeros/as/es en solicitar esta vacante

Consigue una respuesta de este empleador

Tu currículum y tu carta de presentación, adaptados exactamente a lo que buscan contratar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Medical, Rx, Dental & Vision Insurance
401(k) Retirement Plan
Tuition Reimbursement
Discretionary bonus

Descripción de la vacante

Guidehouse is seeking a data engineering professional to support analytics across enterprise data lakes, warehouses, and BI platforms. You will design and maintain ETL/ELT pipelines using Databricks, ODI, SQL, and Python to integrate, transform, and validate large datasets.

The role emphasizes data quality, governance, and BI semantic layers, with dashboards/reports built in Power BI, Tableau, and OAS. You will collaborate with stakeholders to deliver scalable data solutions.

Formación

  • Bachelor’s degree in a technical field.
  • 3+ years of professional experience in data analytics, reporting, data engineering, or BI initiatives.
  • Must be able to obtain and maintain a Federal Public Trust before onboarding.

Responsabilidades

  • Support data analytics, reporting, and data engineering across enterprise data lakes, data warehouses, and BI platforms.
  • Design, develop, and maintain ETL/ELT data pipelines for reporting and analytics.
  • Utilize Databricks, ODI, SQL, and Python to integrate, transform, and validate large datasets.
  • Perform data quality assessments, troubleshoot data issues, and support governance through metadata documentation and lineage.

Conocimientos

Databricks
SQL
Python
ETL/ELT development
Data governance
Data quality validation

Educación

Bachelor's degree in Computer Science / Information Systems / Data Analytics

Herramientas

ODI (Oracle Data Integrator)
Power BI
Tableau
Oracle Analytics Server (OAS)

Descripción del empleo

  • Support data analytics, reporting, and data engineering activities across enterprise data lakes, data warehouses, and business intelligence platforms.
  • Design, develop, and maintain ETL/ELT data pipelines to support reporting and analytics requirements.
  • Utilize Databricks, Oracle Data Integrator (ODI), SQL, and Python to integrate, transform, and validate large datasets.
  • Perform data quality assessments, troubleshoot data issues, and support data governance efforts through metadata documentation and lineage tracking.
  • Develop and support BI semantic layers to ensure accurate and scalable reporting solutions.
  • Create and maintain dashboards and reports using tools such as Power BI, Oracle Analytics Server (OAS), Tableau, and other enterprise reporting platforms.
  • Monitor production data pipelines, troubleshoot query performance issues, validate dashboard data, and support ongoing operations and maintenance activities.
  • Collaborate with business stakeholders, analysts, and technical teams to deliver scalable data and reporting solutions.
Job Family

Systems Engineering

Travel Required

None

Clearance Required

Ability to Obtain Public Trust

What You Will Do
  • Support data analytics, reporting, and data engineering activities across enterprise data lakes, data warehouses, and business intelligence platforms.
  • Design, develop, and maintain ETL/ELT data pipelines to support reporting and analytics requirements.
  • Utilize Databricks, Oracle Data Integrator (ODI), SQL, and Python to integrate, transform, and validate large datasets.
  • Perform data quality assessments, troubleshoot data issues, and support data governance efforts through metadata documentation and lineage tracking.
  • Develop and support BI semantic layers to ensure accurate and scalable reporting solutions.
  • Create and maintain dashboards and reports using tools such as Power BI, Oracle Analytics Server (OAS), Tableau, and other enterprise reporting platforms.
  • Monitor production data pipelines, troubleshoot query performance issues, validate dashboard data, and support ongoing operations and maintenance activities.
  • Collaborate with business stakeholders, analysts, and technical teams to deliver scalable data and reporting solutions.
What You Will Need
  • Must be able to OBTAIN and MAINTAIN a Federal "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, Mathematics, or a related technical field.
  • Three (3) or more years of professional experience supporting data analytics, reporting, data engineering, or business intelligence initiatives.
  • Hands‑on experience supporting enterprise data lakes, data warehouses, and analytics platforms.
  • Strong expertise with:
    • Databricks
    • ETL/ELT development and orchestration
    • Oracle Data Integrator (ODI)
    • SQL
    • Python
    • Data integration and transformation
    • Data quality validation and monitoring
    • Metadata management and documentation
    • BI semantic layer development and support
  • Experience developing reports, dashboards, and visualizations using Power BI, OAS, Tableau, or similar BI tools.
  • Knowledge of production support processes, including pipeline monitoring, issue resolution, defect management, and operational maintenance.
What Would Be Nice To Have
  • Experience applying AI-enabled tools and technologies to support:
    • Data modeling and optimization
    • Anomaly detection
    • Pipeline automation
    • Analytics acceleration
  • Experience with SEMOSS (Semantic Open Source Software).
  • Strong analytical, problem‑solving, and communication skills.
  • Ability to work independently while collaborating effectively with technical and business teams.
  • Experience supporting cloud‑based data and analytics environments.
  • Familiarity with data governance, master data management, and modern data architecture best practices.
  • Experience working in large‑scale enterprise or federal data environments.
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.

Consigue la evaluación confidencial y gratuita de tu currículum.

o arrastra y suelta tu archivo aquí

Similar jobs

Puestos de trabajo similares que vale la pena comparar

Data Analytics Developer
Data Analytics Developer

Guidehouse • San Antonio (TX)

Presencial
USD 85.000 - 120.000
Medical, Rx, Dental & Vision Insurance
401(k) Retirement Plan
Company Paid Holidays
+3
Data Analytics Developer
Data Analytics Developer

Guidehouse • Beavercreek (OH)

Presencial
USD 90.000 - 120.000
Health Insurance
401(k) Retirement Plan
Paid Holidays
+1
Data Analytics Developer
Data Analytics Developer

Guidehouse • Huntsville (AL)

Presencial
USD 90.000 - 130.000
Medical insurance
401(k) plan
Paid holidays
+2
Data Analytics Developer
Data Analytics Developer

Guidehouse • Atlanta (GA)

Híbrido
USD 90.000 - 120.000
Medical insurance
401(k) retirement plan
Paid time off
Program Analytics & Data Visualization Specialist
Program Analytics & Data Visualization Specialist

Guidehouse • Houston (TX)

Presencial
USD 80.000 - 133.000
Medical insurance
401(k) retirement plan
Tuition reimbursement
+1
Program Analytics & Data Visualization Specialist
Program Analytics & Data Visualization Specialist

Guidehouse • Charlotte (NC)

Presencial
USD 80.000 - 133.000
Medical insurance
401(k) retirement plan
Tuition reimbursement
+1
Program Analytics & Data Visualization Specialist
Program Analytics & Data Visualization Specialist

Guidehouse • Huntsville (AL)

Presencial
USD 80.000 - 133.000
Medical, Rx, Dental & Vision Insurance
401(k) Retirement Plan
Tuition Reimbursement
+2
Program Analytics & Data Visualization Specialist
Program Analytics & Data Visualization Specialist

Guidehouse • Atlanta (GA)

Presencial
USD 80.000 - 133.000
Medical, Rx, Dental & Vision Insurance
401(k) Retirement Plan
Paid Holidays
+2
Associate Director, Lead Data Architect - Databricks
Associate Director, Lead Data Architect - Databricks

Guidehouse • McLean (VA)

Presencial
USD 140.000 - 190.000
Medical, Rx, Dental & Vision Insurance
Company Holidays
Parental Leave
+5
Program Analytics & Data Visualization Specialist I
Program Analytics & Data Visualization Specialist I

Guidehouse • San Antonio (TX)

Híbrido
USD 70.000 - 116.000
Medical Insurance
401(k) Retirement Plan
Tuition Reimbursement
+1