102825.1 - Data Analytics and BI Engineer
Next PhaseAbout the role
About the Role
We are looking for a Data Analytics and Business Intelligence Engineer to support a federal data modernization initiative focused on advancing enterprise analytics, cloud data capabilities, and data-driven decision support. You will help design, develop, and maintain secure, scalable data and reporting solutions across a broad suite of analytics platforms and AWS services.
What You'll Do
- Build and maintain scalable data pipelines, marts, and visualization layers supporting analytical and operational missions.
- Develop dashboards and analytics using Tableau, SAS Viya, Oracle Analytics Server (OAS), OBIEE, and Sprinklr.
- Support integration of social engagement data into enterprise analytics solutions to provide mission-driven insights.
- Implement and optimize AI/ML and predictive models to support operational insight, anomaly identification, and improve decision-making.
- Leverage AWS tools such as S3, Glue, Redshift, and Lambda to manage cloud data workflows and transformation pipelines.
- Apply strong DevSecOps practices using GitHub, Jenkins, OpenShift, and automated testing methodologies.
- Work with cross-functional teams to improve data quality, consistency, and system performance.
- Support integration of social engagement and external data into enterprise analytics products relevant to mission needs.
- Ensure compliance with data governance, security policy, and accessibility standards.
Requirements
Required Qualifications:
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.
- 5+ years of experience in data engineering, analytics, or BI development.
- Proficiency in Databricks, Informatica IICS, SAS Viya, Tableau, Oracle Analytics Server (OAS), OBIEE, and AWS services, including S3, Glue, Redshift, and Lambda.
- Strong programming skills in Python, Scala, Groovy, or PL/SQL.
- Experience supporting DHS or USCIS data environments or other federal mission-critical data analytics programs, involving sensitive operational and identity-related data.
- Experience working in Agile/DevSecOps development environments.
- U.S. Citizenship required; must be able to obtain and maintain a Public Trust clearance.
Preferred Qualifications:
- Experience with social-media analytics platforms such as Sprinklr, including data ingestion and analysis of digital engagement trends.
- Experience developing predictive models using AI/ML frameworks.
- Familiarity with data governance frameworks, metadata automation, and data quality tooling.
- AWS, Databricks, or SAS certifications are a plus!
Work Environment
- Hybrid - Columbia, Maryland (with occasional travel for client on-site meetings in the D.C. metro area).
- Collaborative team culture with opportunities to explore emerging technologies.
Why Join Next Phase
Work on impactful data solutions that advance federal innovation and public service. You'll collaborate with talented engineers and analysts to deliver secure, scalable, and insightful analytics that make a difference.
General:
- Strong organizational and communication skills
- Ability to manage multiple tasks and prioritize workload based on the needs of the client
- Ability to deal with ambiguity and frequent changes in priorities
- Ability to work with minimal supervision
- Excellent technical writing skills and proven experience in systems with complex requirements
- Excellent teamwork and interpersonal skills, with the ability to team with others to meet project objectives
- Understanding of the system development lifecycle as implemented with Agile; SAFe knowledge a plus
Physical Requirements:
- Prolonged periods of sitting at a desk and working on a computer.
- Ability to navigate in an office setting unassisted.
- Must be able to lift up to 10 pounds.
- Strong verbal communication and clear articulation skills are required.
Additional Information about this opening:
- Employees of Next Phase shall, as an enduring obligation throughout their term of employment, adhere to all information security requirements as documented in company policies and procedures.
- Enjoy the flexibility of a hybrid work enviro
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