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AI Data Engineer - Senior Consultant

Employer
Guidehouse
Location
Washington, DC
Closing date
Oct 17, 2021

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Overview Guidehouse is a leading global provider of consulting services to the public and commercial markets with broad capabilities in management, technology, and risk consulting. We help clients address their toughest challenges and navigate significant regulatory pressures with a focus on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that prepare our clients for future growth and success. The company has more than 10,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies. For more information, please visit: www.guidehouse.com. Responsibilities Our consultants on the Advanced Analytics & Intelligent Automation team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data engineering, data querying and wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. Our consultants focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development. Job Description/Responsibilities: Develop, maintain, and test infrastructures for data generation to transform data into a format that can be easily analyzed to drive key business decisions Partner with data scientists/analysts and cross-functional teams to discover, collect, cleanse, and refine the data needed for analysis and modeling Develop, build, test, and maintain data pipeline architectures and tools Align architecture with key business requirements Perform complex queries using SQL Identify ways to improve data reliability, efficiency and quality Conduct research for industry and business questions Prepare data for data science/machine learning/predictive and prescriptive modeling Use data to discover tasks that can be automated Manage ETL (Extract, Transform, Load) functions Remove roadblocks to development through collaboration, communication, and creative solutions Drive development best practices and continuous integration and delivery in an Agile framework Understand and implement best practices in data management Qualifications Required: US Citizenship with eligibility to obtain a Public Trust S./BA in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Operations Research, or similar quantitative and computational discipline 3+ years of experience developing data pipelines or ETLs 3+ years of experience in Python or Scala 3+ years of experience in performing data engineering to enable data science and machine learning Strong understanding of SQL, relational databases, columnar data warehouses, and data modeling Knowledge of TDD, automated testing principles, and testing best practices Ability to instrument basic automation and CI/CD including a familiarity with Jenkins/Git Familiarity with cloud-based services (AWS) and container technologies (Docker/Kubernetes) Experience with Spark and Databricks Knowledge/experience designing and building distributed systems for scalability and security Ability to self-educate on new technologies, techniques and methods Preferred: S./MA in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Operations Research, or similar quantitative and computational discipline 5+ years of relevant experience Experience with micro services architecture and API gateways Contributing as a team member: understanding team roles, collaborating with team members Supporting clients: identifying and addressing needs, building relationships, being flexible, communicating effectively Business development including RFP/RFQ/RFI responses Knowledge of defense or national security Additional Requirements The successful candidate must not be subject to employment restrictions from a former employer (such as a non-compete) that would prevent the candidate from performing the job responsibilities as described. Disclaimer About Guidehouse Guidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, 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 RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. 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. Rewards and Benefits 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 Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program

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