Senior Data Engineer
Guidehouse•Arlington, VA
•$98,000 - $163,000
About The Position
Guidehouse is seeking a Data Engineer to join our Technology AI & Data practice, supporting a diverse portfolio of public sector and health sector clients. This role is ideal for hands-on technical contributors who enjoy building modern data foundations that enable better outcomes, whether that is improving citizen services, strengthening mission operations, advancing public health programs, or modernizing enterprise reporting and decision support.
Requirements
- Bachelor’s degree from an accredited college/university.
- Based on our contractual obligations, candidate must be located within the United States and US Citizen.
- Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST".
- Advanced SQL and Python skills and experience with relational databases and database design
- Experience working with data ingestion tools such as AWS Lambda, AWS Data Migration Service, SFTP
- Experience making dashboards and using data visualization tools (Tableau, Power BI)
- Experience in integrating data from disparate systems and technologies (IBM Mainframe, Structured, Semi-structured and unstructured sources.)
- Proficiency with one or more cloud-based solutions (e.g., AWS, Azure, GCP)
Nice To Haves
- Designing/deploying data solutions on cloud platforms (AWS, GCP, Azure)
- Hands-on experience with cloud services and REST API integrations
- Proficiency with modern data tools (e.g., Spark/Databricks, Airflow, dbt, Kafka) is a plus.
- Experience working with distributed data processing tools such as PySpark, AWS Glue Databricks and/or Snowflake
- Data Engineer Associate or Professional certification
- Proficiency with workflow management systems (Nextflow, Snakemake, Airflow)
- Experience with regulated environments (GxP, 21 CFR Part 11) and data governance
Responsibilities
- Design, build, test, and maintain scalable data pipelines (batch and/or streaming as applicable) with increasing independence.
- Integrate data from multiple sources , resolve inconsistencies, and deliver curated datasets for analytics and operational use.
- Own data quality for assigned domains by implementing validation checks, reconciliation, and monitoring/alerting patterns.
- Build, maintain, and deploy data products for analytics and data science teams on cloud platforms (e.g., AWS, Azure, GCP).
- Optimize performance of pipelines and queries (tuning, partitioning patterns, efficient compute usage).
- Collaborate cross-functionally with analysts, data scientists, and stakeholders to translate requirements into technical designs and delivery plans.
- Produce and maintain technical documentation for data flows, data models, and operational procedures.
- Contribute to governance and compliance practices (access controls, lineage awareness, controlled data handling) within your scope.
Benefits
- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Parental Leave
- 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
- Transit and Parking Commuter Benefits
- Short-Term & Long-Term Disability
- Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Care.com annual membership
- Employee Assistance Program
- Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
