Senior Data Engineer (Python) - Remote

Data Science & Analysis Travel Required: Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. - 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.

Data Science & Analysis Travel Required: Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience building scalable data ecosystems, strong software engineering fundamentals, and the ability to lead technical efforts while collaborating with multidisciplinary teams to deliver mission-critical data solutions. - Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting analytics, reporting, and operational workloads. - Build and optimize data architectures, data models, and storage solutions across cloud and hybrid environments. - Develop and maintain data engineering solutions using Python, SQL, Spark, and related technologies. - Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other modern technologies. - Design and implement CI/CD pipelines and DevOps best practices for data engineering workflows. - Lead data integration, migration, and modernization initiatives, including legacy system transformation efforts. - Ensure data quality, integrity, security, and governance standards are incorporated into solution designs. - Monitor, troubleshoot, and optimize data pipelines and production environments to ensure reliability and performance. - Mentor junior data engineers and support technical knowledge sharing across project teams. - Develop and maintain technical documentation including data flows, system designs, deployment procedures, and operational guides. - Role contingent upon contract award. Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical field. - THREE (3) or more years in data engineering, software engineering, analytics engineering, or a related discipline. - Experience in Python, SQL, and data processing frameworks such as Spark or PySpark. - Experience designing, developing, and supporting production-grade data pipelines and ETL/ELT processes. - Experience working with relational and non-relational databases, including data modeling and query optimization. - Experience with cloud platforms such as AWS and/or Azure. - Experience with Databricks, Snowflake, or similar large-scale data processing environments. - Experience implementing CI/CD pipelines and version control practices using tools such as Git, GitHub, GitLab, Jenkins, or Azure DevOps. - Experience implementing data quality, monitoring, and operational support processes. - Experience working within Agile software development environments. Familiarity with containerization technologies such as Docker and orchestration platforms such as Kubernetes. - Experience with AWS services such as S3, Redshift, Lambda, ECS, Glue, and SQS. - Experience with Azure services such as Azure Data Factory, Synapse Analytics, Azure Functions, Cosmos DB, and Event Hub. - Familiarity with modern data lakehouse architectures and data governance frameworks. - Experience with monitoring and observability tools such as CloudWatch, Splunk, Kibana, Datadog, or Elasticsearch. - Cloud, Databricks, Snowflake, or related technical certifications. - Experience supporting large-scale data modernization or migration programs. - Experience with machine learning data pipelines and AI-enabled solutions. - 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. 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. Medical, Rx, Dental & Vision Insurance - Personal and Family Sick Time & Company Paid Holidays - 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 - Short-Term & Long-Term Disability - Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities - Corporate Sponsored Events & Community Outreach - 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 Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. 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 RecruitingAccommodation@guidehouse.All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.5c143e31-5e48-4549-b638-05792d185386