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Guidehouse Data Engineer - Senior Consultant in Helena, Montana

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:

  • Operate in a cloud environment and assess environment specifications and requirements for big data

  • 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 scalable data pipeline architectures and tools a ligned with business requirements

  • Manage ETL (Extract, Transform, Load) functions

  • Maintain data lakes

  • Perform complex data queries

  • Utilize best practices for and identify ways to improve data management, reliability, efficiency, and quality

  • Remove roadblocks to development through collaboration, communication, and creative solutions

  • Drive development best practices and continuous integration and delivery in an Agile framework

Qualifications

Required:

  • Minimum Security Clearance: US Citizenship and ability to obtain a Public Trust security clearance

  • B.S./B.A. in Data Science, Computer Science, Information Systems, or other quantitative and computational discipline

  • 3+ years of relevant professional experience

  • Spark programming in PySpark or Scala

  • Proficiency in SQL

  • Firm understanding of Data Warehousing concepts

  • Constructing, developing, and utilizing data pipelines / ETL

  • Strong understanding relational databases, columnar data warehouses, and data modeling

  • Instrumenting basic automation and CI/CD

  • Designing and building distributed systems for scalability and security

  • Data engineering to enable data science and machine learning

  • Familiarity with cloud-based services (AWS) and container technologies (Docker/Kubernetes)

  • Understanding of Agile development methodologies

    Preferred:

  • M.S./M.A. in Data Science, Computer Science, Information Systems, or other quantitative and computational discipline

  • 5+ years of relevant experience

  • Developing data pipelines / ETLs and performing data engineering using Spark

  • Utilizing Big Data platforms such as Databricks

  • Cloud data movement such as Kafka

  • Cloud services including data storage, serverless computation, data movement, identity management

  • Databases such as Snowflake, Redshift, Oracle, Sql Server or Postgres

  • Tuning performance for large data projects in big data or relational installations

  • Micro services architecture and API gateways

  • Supporting clients: identifying and addressing needs, building relationships, driving solutions forward

  • Supporting business development including RFP/RFQ/RFI responses

  • Knowledge of National Security or Defense sectors

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.

This position is open to candidates virtually from Montana, New Mexico, Utah, Wyoming, Arizona, Hawaii or Eastern, Pacific, and Central time zones.

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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