Senior Data Engineer - Remote - Multiple Levels
About The Position
Guidehouse is seeking multiple Data Engineers to join our Technology AI & Data practice. We have multiple levels of positions available for this position. Level will be based on meeting the What You Will Do requirements, the What You Will Need requirements, coupled with a broad range of factors such as technical interview strength, subject matter expertise, consultative experience, etc. In this role, data engineers will be 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".
- Strong communication skills and ability to work independently, strong collaboration habits, and comfort operating autonomously in a remote environment.
- 8+ years of relevant software engineering/data experience (for the Senior Data Engineer).
- 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
- Lead the design and build of scalable data pipeline architectures and tools, including patterns for reliability, security, and maintainability.
- Drive ETL/ELT and data quality strategy (frameworks, standards, repeatable testing/monitoring approaches) and raise engineering maturity across the team.
- Architect solutions in cloud data platforms (e.g., Azure + Databricks, Snowflake) and guide implementation tradeoffs (cost, performance, scalability, governance).
- Design data stores and interactions across storage types (relational, warehouse, lake/lakehouse, and NoSQL where needed) aligned to use cases.
- Enable data science / ML readiness by delivering well-modeled, reliable, well-documented datasets and features.
- Lead requirements gathering and technical planning; translate ambiguous problem statements into actionable architectures, backlogs, and delivery increments.
- Champion data quality and governance standards through the development of sophisticated data quality frameworks, dashboards, and feedback loops to ensure transparency in data completeness, consistency, and quality for partners and researchers.
- Own client and stakeholder engagement for your workstream, including organizing/leading meetings, producing clear written outputs, and tracking follow-through.
- Mentor and review: provide strong code/design reviews, coach engineers, and help remove technical blockers.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
