Sr. Data Analytics Developer

Guidehouse; Charlotte (NC); On-site; USD 75,000 - 113,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave

Tuition Reimbursement

Employee Assistance Program

Learning Opportunities

Discretionary bonus potential

Job summary

Guidehouse in Charlotte, NC is seeking a data engineer to design, develop, and optimize enterprise data lakes, warehouses, and analytics platforms. You will build secure data ingestion pipelines, develop ETL/ELT processes, and collaborate with stakeholders to deliver high-quality data solutions that drive business insights.

Travel up to 10% and eligibility for a public trust are required. This role offers exposure to modern data tools, cloud environments, and opportunities to influence

Qualifications

• Public trust eligibility and ability to obtain/maintain
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field
• 3+ years of experience designing, developing, and optimizing enterprise data platforms

Responsibilities

• 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.

Skills

Data modeling

ETL/ELT development

Data warehousing

Data pipelines

Stakeholder collaboration

Education

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

Tools

SEMOSS

CI/CD pipelines

Job description

Job Family

• 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.

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 [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.