Data Analytics Developer

Guidehouse; Houston (TX); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave

Paid Holidays

Job summary

Guidehouse is seeking a Systems Engineering professional to support data analytics, reporting, and data engineering across enterprise data lakes, warehouses, and BI platforms. You will design and maintain ETL/ELT pipelines using Databricks, ODI, SQL, and Python to enable accurate reporting and analytics.

You will develop BI semantic layers and dashboards with Power BI, OAS, and Tableau while validating data quality, metadata, and lineage.

Qualifications

• Bachelor’s degree in a technical field as listed.
• 3+ years in data analytics, reporting, data engineering, or BI initiatives.
• Experience with enterprise data lakes and data warehouses.
• Strong expertise with Databricks, ODI, SQL, Python.
• Experience creating dashboards with Power BI, OAS, Tableau.

Responsibilities

• Support data analytics, reporting, and data engineering across data lakes and warehouses.
• Design, develop, and maintain ETL/ELT data pipelines.
• Develop BI semantic layers and dashboards/reports.
• Perform data quality validation and metadata documentation.
• Monitor production pipelines and troubleshoot performance issues.
• Collaborate with stakeholders and technical teams to deliver scalable solutions.

Skills

Databricks

ODI

SQL

Python

ETL/ELT development

Data integration

Data quality validation

Metadata management

BI semantic layer

Power BI

Oracle Analytics Server

Tableau

Production support

Education

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or related technical field

Tools

ODI

Databricks

SQL

Python

Job description

Job Family:Systems EngineeringTravel Required:NoneClearance Required:Ability to Obtain Public TrustWhat You Will DoSupport 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 NeedMust 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 preferredBachelor’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:DatabricksETL/ELT development and orchestrationOracle Data Integrator (ODI)SQLPythonData integration and transformationData quality validation and monitoringMetadata management and documentationBI semantic layer development and supportExperience 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 HaveExperience applying AI-enabled tools and technologies to support:Data modeling and optimizationAnomaly detectionPipeline automationAnalytics accelerationExperience 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 InsurancePersonal and Family Sick Time & Company Paid HolidaysParental Leave401(k) Retirement PlanGroup Term Life and Travel AssistanceVoluntary Life and AD&D InsuranceHealth Savings Account, Health Care & Dependent Care Flexible Spending AccountsTransit and Parking Commuter BenefitsShort-Term & Long-Term DisabilityTuition Reimbursement, Personal Development, Certifications & Learning OpportunitiesEmployee Referral ProgramCorporate Sponsored Events & Community OutreachCare.com annual membershipEmployee Assistance ProgramSupplemental 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 bonusAbout GuidehouseGuidehouse 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 [e-mail]. 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 [e-mail]. 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 [e-mail]. 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.