Data Engineer

• 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., All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com 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 Guidehouse's 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 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., As a Robotics Software Engineer, you will play a pivotal role in developing data systems for advanced robotics applications. This position focuses on building and maintaining pipel…

• 2 days ago
• Apply easily

• US Citizenship or Green Card is required
• Bachelor's degree in Computer science, Software Engineering, Information Systems, and/or related fields.
• 3-5 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 engineering-related 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.

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 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., SaidGig

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