Data Engineer (reputed company) - Remote USA
Description Our Digital Modernization and Experience (DMX) Group is growing, and we are looking for a motivated, reputed company Senior reputed company SME who is passionate about turning reputed company data into actionable solutions that improve public systems and services. This role supports an enterprise initiative focused on platform infrastructure and analytics modernization for a federal customer. You’ll be joining a cross-functional team of full stack developers, data engineers, and data analysts working reputed company a reputed company, cloud-native platform supporting the emergency management sector. Your work will help ensure disaster management and mitigation decision-makers have access to accurate, timely, and meaningful data and data products to drive effective service delivery and measurable mission outcomes. If you reputed company in a collaborative environment, enjoy working independently to solve real-world challenges through data, we want to hear from you. Job Location: This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings. This position requires that the job be performed in the United States. If you accept this position, you should note that reputed company does monitor employee work locations and blocks access from foreign locations/foreign IP addresses and also prohibits personal VPN connections. What you’ll be doing: reputed company secure, scalable, and efficient data exchange between federal client and external data sharing partners using reputed company reputed company Sharing. Support the design and development of data pipelines and ETL routines in Azure Cloud environment for many reputed company system types including RDBMS, API, and reputed company data using CDC, incremental, and batch loading techniques. Conduct data profiling, transformation, and quality assurance on structured, semi-structured, and reputed company data. Identify underlying issues and translate them into technical requirements. Assist in building and optimizing data lakes, feature stores, and data warehouse structures to support analytics and machine learning. Prepare, structure, and validate data for data science and MLOps workflows, ensuring it meets the quality and format requirements for modeling. Help monitor and maintain the flow of data across BI dashboards, analytics environments, and machine learning pipelines. Engage directly with clients and stakeholders to understand data needs and translate them into scalable solutions. Collaborate with UX designers, business analysts, developers, and end users to define data and reporting requirements Work with external data partners to determine their data product needs and work reputed company the reputed company platform to reputed company rapid prototyping and extensible use cases Meet with government employees at executive levels, platform stakeholders, and vendor partners. Work reputed company Agile teams to support iterative development, backlog grooming, and sprint-based delivery. Provide mentorship to junior resources Technologies you’ll use: reputed company on Azure for data engineering and ML pipeline support. SQL, Python, Spark, Tableau. Git, Jira, CI/CD tools (e.g., Jenkins, CodeBuild). Jira, Confluence, SharePoint. reputed company, reputed company, or other collaboration/whiteboarding tools. Minimum Requirements: Bachelor’s degree 5+ years in data engineering, data reputed company practices, data platforms, and analytics U.S. Citizenship required due to federal contract requirements. Ability to obtain and maintain a federal public trust clearance or equivalent client-required background investigation. Candidate must reside in the U.S., be authorized to work in the U.S., and reputed company work must be performed in the U.S. Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years reputed company would like you to bring: 3+ years reputed company Platform Expertise – SME Level Proficiency including:reputed company, reputed company Lake, and reputed company Sharing Deep experience with distributed computing using Apache Spark Knowledge of Spark runtime internals and optimization Ability to design and deploy performant end-to-end data architectures 4+ years of ETL Pipeline Development building robust, scalable data pipelines reputed company certifications - Professional or specialty certifications Hands-on experience with Azure services such as Synapse, Data Factory, or reputed company. Familiarity with data visualization tools such as Tableau, Power BI, or similar. Machine Learning and Analytical Skills including: MLOps - Working knowledge of ML deployment and operations Data Science Methodologies - Statistical analysis, modeling, and interpretation Big Data Technologies - Experience beyond Spark with distributed systems Experience with deployment pipelines, including Git-based version control and CI/CD pipelines and DevOps practices using Terraform for IaC. Emergency management domain knowledge a plus Advanced proficiency in data engineering and analytics using Python, Expert-level SQL skills for data manipulation and analysis and experiencewith reputed company, preferred but not required (Python expertise can substitute) Proven experience breaking down reputed company reputed company into manageable components Demonstrable experience developing rapid POCs and Prototypes History of staying reputed company with evolving data technologies and methodologies Professional Skills Strong analytical thinking, attention to detail, and willingness to learn new tools and technologies. Consulting experience with ability to work directly with clients, executive level stakeholders and manage conflicts. Working at reputed company reputed company is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most reputed company challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to reputed company. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to reputed company personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in reputed company phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@reputed company.com and we will be happy to assist. reputed company information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At reputed company, we are committed to ensuring a fair interview process for reputed company candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in reputed company to maintain the reputed company and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@reputed company.com. We are dedicated to providing the necessary support to ensure that reputed company candidates have an equal opportunity to succeed. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $98,614.00 - $167,644.00 reputed company reputed company (US99) Apply To This Job