Seeking a Data Engineer with 6+ years of experience to join our team in designing, implementing, and optimizing data architectures and pipelines. You will work closely with our Department of Homeland Security (DHS) client to build and manage data infrastructure that supports advanced data analytics, AI, machine learning, and automation initiatives aimed at enhancing operations, reducing costs, and improving efficiency.
This role specifically involves hands-on configuration (e.g., AWS tools, Airflow) and development (e.g., Python, R) for data that supports our Chief Financial Officer customer. In addition, you will work directly with senior executives and leaders to provide architecture, design, and technical advice for new initiatives (e.g., chatbots, automations, analytics).
YOUR FUTURE DUTIES AND RESPONSIBILITIES: - Design, develop, and optimize data pipelines and architectures that support data-driven decision-making across AI and ML initiatives.
- Collaborate with data scientists, analysts, and other stakeholders to ensure data availability, integrity, and quality.
- Implement ETL (Extract, Transform, Load) processes to integrate data from various sources into centralized systems.
- Design, develop, and maintain data models to support advanced analytics initiatives, AI/ML, Generative AI, and predictive analytics.
- Ensure data security and compliance with federal regulations, including managing sensitive and classified data.
- Monitor and maintain data pipelines to ensure continuous data flow and resolve any data-related issues.
- Collaborate with cross-functional teams to identify and integrate new data sources and optimize data management practices.
- Stay current with industry trends and emerging technologies in data engineering, cloud infrastructure, and big data processing.
- Perform other related duties as required to support the mission.
- Design and create interactive dashboards and reports using Tableau and Power BI.
- Present findings in a clear, concise manner tailored to both technical and non-technical audiences.
- Work with relational databases (e.g., Oracle, PostgreSQL, MySQL, Redshift) to support data integrity and consistency.
- Automate routine data processes using a variety of scripts and tools. (e.g., Python, Airflow, SQL, AWS)
- Leverage AWS Cloud services (e.g., S3, EC2, RDS, Lambda) for data processing, storage, and retrieval
- Ability to guide and support cloud modernization of data processes.
- Collaborate with cross-functional teams, including engineers, analysts, and business stakeholders.
- Clearly articulate analytical concepts and results to a wide range of audiences.
- Contribute to and present client-facing presentations and written reports.
QUALIFICATIONS - Bachelor's Degree in Mathematics, Computer Science, Information Systems, or a related discipline from an accredited institution in the United States.
- 6+ years of progressive experience in data science, advanced analytics, data visualization, and reporting, with demonstrated ownership of analytical solutions from concept through delivery and operationalization.
- Proven ability to lead the design, development, and deployment of data-driven solutions, including AI/ML models, predictive analytics, and business intelligence products, in production environments.
- Advanced proficiency in Python for data manipulation, automation, and development of scalable analytical workflows.
- Strong expertise in SQL and relational databases (e.g., Oracle, PostgreSQL, MySQL), with the ability to design efficient data models and support complex data integration needs.
- Extensive experience developing automated data pipelines and analytics workflows using Python, R, SQL, and related tools, with a focus on scalability, reliability, and maintainability (e.g., Pandas, R Shiny)
- Hands-on experience leveraging cloud services (e.g., S3, EC2, RDS, Lambda) to design and implement data processing, storage, and analytics solutions.
- Demonstrated ability to design and deliver impactful data visualizations and dashboards using Tableau and/or Power BI, with a strong emphasis on data storytelling and executive-level communication.
- Experience leading or significantly contributing to the full analytics lifecycle, including problem framing, data acquisition, modeling, validation, deployment, and performance monitoring.
- Ability to operate independently in ambiguous environments, translating complex business challenges into structured analytical approaches and actionable insights.
- Strong collaboration and leadership skills, with experience guiding cross-functional teams and influencing stakeholders at multiple levels of the organization.
- Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences.
- Familiarity with modern software development practices, including version control (e.g., Git), testing, and iterative development methodologies.
- Experience developing prototypes and proof-of-concept solutions, with the ability to rapidly iterate and transition solutions into production-ready systems.
NICE TO HAVES - Prior experience working with ETL tools like Informatica, Talend, or Airflow.
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed systems.
- Familiarity with automation tools (e.g., UiPath, Power Automate) and their integration into data pipelines.
- Experience working in environments requiring DHS Suitability Clearance is highly preferred.
- Strong knowledge of change management processes and technologies (e.g., GitHub)
- Experience in modeling and analyzing big data in cloud environments.
- Demonstrated experience developing prototypes and proof-of-concept applications or software from end-to-end.
- Knowledge of federal data governance standards, compliance requirements, frameworks, and best practices.
Clearance: - U.S. Citizen; Active DHS Clearance, DoD Top Secret Clearance, or Q-level Clearance.
WHY US - Innovative Environment: Join a team that thrives on creativity and innovation, where your ideas are not only heard but encouraged.
- Meaningful Impact: Contribute to projects that directly impact federal agencies, driving positive change on a national scale.
- Dynamic Collaboration: Work alongside diverse experts who are passionate about pushing boundaries and making a difference.
- Agile Mindset: Embrace Agile methodologies that encourage flexibility, adaptability, and rapid growth.
- Learning Culture: Enjoy ongoing learning opportunities and professional development to expand your skill set.
- Cutting-edge Tech: Engage with the latest technologies and tools in the data integration landscape.
If you're ready to embark on a journey of innovation, collaboration, and impact, we welcome you to join our team. Let's shape the future together.