Data Engineer

Job Family:

Travel Required:

Clearance Required:

What You Will Do:

• Design develop and maintain robust data pipelines and ETL/ELT processes to ingest transform and load data from diverse structured and unstructured sources.
• Build and optimize data models and data architectures to support analytics reporting and operational use cases.
• Implement and maintain CI/CD pipelines for data engineering workflows including data pipelines and scheduled jobs using version control and automation tools.
• Develop and deploy cloud-based data solutions leveraging services such as object storage serverless compute and messaging/queueing services.
• Collaborate with database administrators analysts and application teams to integrate data sources design schemas and support downstream data consumers.
• Ensure data quality integrity and reliability through validation monitoring logging and alerting.
• Support data migration integration and modernization initiatives including legacy system upgrades and cloud adoption efforts.
• Troubleshoot and resolve issues in development and production environments to maintain stable and reliable data pipelines.
• Document data flows pipelines and technical solutions to support knowledge sharing and compliance requirements.
• Stay current with emerging tools technologies and best practices in data engineering and cloud platforms.

What You Will Need:

• US Citizenship or Green Card is required
• Bachelors degree in Computer science Software Engineering Information Systems and/or related fields.
• 35 years of experience in data engineering software development or a closely related role.
• Proficiency in one or more programming languages commonly used in data engineering (e.g. Python SQL R PySpark or Java).
• Hands-on experience designing and building data pipelines and ETL/ELT processes leveraging commonly used ETL/ELT tools (e.g. SSIS Databricks Azure Data Factory)
• Strong knowledge of relational database design data warehouses and/or data lakes using star/snowflake schemas
• Experience working with relational and/or NoSQL databases (e.g. Oracle Postgres SQL Server MongoDB).
• Experience working in a cloud environment (AWS or Azure) supporting data solutions.
• Familiarity with version control and CI/CD practices for data workflows (e.g. Git Jenkins).
• Exposure to containerization technologies (e.g. Docker; Kubernetes is a plus).
• Experience using monitoring and logging tools to support data pipeline reliability (e.g. CloudWatch Splunk Kibana Elasticsearch).
• Ability to work effectively in an Agile development environment.
• Strong analytical and troubleshooting skills and the ability to communicate technical concepts clearly to clients engineers and business stakeholders
• Ability to work independently in a fast-paced client-facing environment.

What Would Be Nice To Have:

• AWS Azure Databricks or other data engineeringrelated certifications (Datalake of Exasol).
• Experience with data visualization or analytics tools (e.g. Kibana Tableau Power BI).
• Familiarity with security compliance and data governance best practices in healthcare.
• Exposure to microservices-based architectures or AI/ML-enabled data pipelines.
• Prior consulting experience.

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

• Position may be eligible for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life

• Health Savings Account Dental/Vision & Dependent Care Flexible Spending Accounts

• Short-Term & Long-Term Disability

• Student Loan PayDown

• Tuition Reimbursement Personal Development & Learning Opportunities

• Skills Development & Certifications

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Emergency Back-Up Childcare Program

• Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity EmployerProtected 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- or via email at . 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 @ or . 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 Guidehouses Ethics Hotline. If you want to check the validity of correspondence you have received please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicants 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.