Data Analytics Developer

Guidehouse; Beavercreek (OH); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave

Tuition Reimbursement

Employee Assistance Program

Discretionary variable incentive bonus

Job summary

Guidehouse seeks a data engineer to support 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 transform large datasets and ensure data quality.

You will build and support BI semantic layers and dashboards with Power BI, Tableau, and Oracle Analytics Server, collaborating with stakeholders across teams to deliver scalable solutions.

Qualifications

• Bachelor’s degree in a relevant technical field.
• 3+ years of experience in data analytics, reporting, or BI.
• Experience with enterprise data lakes and data warehouses.
• Strong expertise with Databricks, ODI, SQL, and Python.
• Knowledge of metadata management and data governance.

Responsibilities

• Support data analytics, reporting, and data engineering activities across enterprise data lakes, data warehouses, and BI platforms.
• Design, develop, and maintain ETL/ELT data pipelines to support reporting and analytics requirements.
• Utilize Databricks, ODI, SQL, and Python to integrate, transform, and validate large datasets.
• Perform data quality assessments, troubleshoot data issues, and support data governance 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 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.
• Collaborate with business stakeholders, analysts, and technical teams to deliver scalable data and reporting solutions.

Skills

Databricks

ODI

SQL

Python

Data governance

BI reporting

Data quality

Education

Bachelor's degree in a related technical field

Tools

Power BI

Tableau

Oracle Analytics Server (OAS)

ETL/ELT tooling

Job description

• 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 [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

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.