Data Engineer
- Nivel de experiencia
- Mid
- Tipo de empleo
- Tiempo completo
- Especialización
- Data engineering
Responsibilities
Apply strong technical skills and a mission‑focused mindset to understand client needs, identify opportunities, and design data‑driven solutions. Leverage tools such as Python and platforms such as Databricks to create and maintain automated workflows to catalog data using APIs to ingest and transform data from various sources and file types. Create and maintain authentication workbooks for connections from data sources to cataloging tools. Work on the Microsoft Power Platform to create and maintain Power Apps solutions. Communicate clearly to translate technical findings for both technical and non‑technical audiences, including leadership. Engage directly with clients to gather requirements, adapt solutions to mission needs, and drive initiatives forward. Support business development pursuits, such responses to RFPs, RFQs, RFIs, and the development of whitepapers.
Requirements
- THREE (3) or more years of relevant professional experience.
- Experience creating and maintaining automated workflows in Databricks.
- Experience creating and maintaining authentication workbooks for making connections from data sources to cataloging tools such as Alation.
- Experience managing databases.
- Experience working with data cataloging and metadata.
- Experience working with APIs.
- Experience creating and maintaining Power Apps.
- Familiarity with Agile team operations, such as sprint planning, standup calls, writing Jira stories, backlog refinement, etc.
- Ability to support business development including RFP, RFQ, and RFI responses and white papers.
- Relevant experience supporting Department of State or other Federal Government organizations.
The annual salary range for this position is $85,000.00-$141,000.00. 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.
Key skills
- Data Engineering
- Python
- Databricks
- Power Apps
- Business Development
- ETL
- Agile
- Jira
- Recruiting
Benefits & perks
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
- Generous vacation
- Healthcare
- Parental leave
- Professional development
- Retirement
Job Family
Data Engineering & Architecture Consulting
Travel Required
None
Clearance Required
Active Secret
What You Will Need
- Active SECRET or higher security clearance.
- Bachelor’s degree in a relevant technical field.
- TWO (2) years of relevant professional experience.
- Experience using Python for data engineering, extract-transform-load (ETL), and wrangling data from various sources and file types.
- Ability to work independently, proactively identify opportunities to add value to the client, and drive initiatives and innovation.
- Ability to clearly communicate and present technical solutions, insights, and results to technical and non-technical audiences, including leadership.
- Ability to support remote, hybrid, and on-site projects in the Washington D.C. metro area.
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.
All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
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.