Sobre esta vaga de Data Engineer na Sparksoft Corporation
Join us at Sparksoft, where we're not just another tech company—we're a catalyst for change. Our mission isn't just to offer IT solutions; it's to revolutionize the way you work. Here, passion isn't just a buzzword; it's the fuel behind groundbreaking ideas and transformative technologies. We serve a wide range of government clients, delivering impact that's felt across the nation.
Our true strength lies in our people. They're the problem-solvers and innovators consistently delivering extraordinary outcomes. With Sparksoft, you're not stepping into a routine job; you're joining a team committed to innovation and excellence. Our innovation extends beyond just delivering projects. Through our specialized Innovation Centers, we continuously refine our methods, ensuring we remain industry leaders.
We are Sparksoft!
ROLE & RESPONSIBILITIES:
The Data Engineer plays a critical role in modernizing and scaling the Program's data ecosystem by designing, building, and optimizing cloud-native data solutions on a modern technology stack. Data Engineer III is responsible for leading the design and implementation of program’s data pipelines, data models, and integration frameworks leveraging PostgreSQL, Python, SQL, AWS Grafana, AWS Quicksight, Apache AirFLow and modern DevOps practices. The data engineer role brings significant experience delivering enterprise-scale data platforms, implementing cloud data architectures, and collaborating with technical stakeholders in fast-paced Agile environments.
Key Responsibilities:
- Partner with business stakeholders, product owners, architects, and technical teams to understand business objectives, data requirements, and operational needs.
- Build data pipelines using data from multiple data sources, PostgreSQL, AWS Grafana, Quighsight and AWS Infrastructure and associated data integration technologies.
- Design and implementation of secure, scalable, resilient, and cost-optimized cloud data solutions.
- Define and implement scalable data ingestion, transformation, and consumption patterns across structured and semi-structured data sources.
- Establish data engineering standards, best practices, and reusable design patterns across the Program.
- Design, develop, and optimize conceptual, logical, and physical data models supporting analytics, reporting, dashboards, and operational systems
- Evaluate emerging technologies and recommend improvements to enhance platform capabilities and performance.
- Ensure data architecture aligns with business requirements, governance standards, and future scalability needs.
- Collaborate with analytics, reporting, and business intelligence teams to deliver high-quality data products and trusted data assets.
- Perform advanced data analysis and profiling using SQL and Python to identify trends, anomalies, and opportunities for optimization.
- Establish monitoring, alerting, observability, and automated recovery mechanisms across critical data pipelines.
- Ensure compliance with security, privacy, and regulatory requirements.
- Collaborate with Agile teams to deliver iterative business value while maintaining technical quality and delivery commitments.
- Communicate technical concepts, risks, solutions, and recommendations effectively to both technical and non-technical stakeholders.
REQUIRED EXPERIENCE:
- Bachelor’s degree in computer science, Information Systems, Engineering, or a related field
- 7+ years of experience as a Data Engineer or Data Platform Engineer, or similar role.
- Extensive hands-on experience designing and implementing data platforms and cloud-based data solutions.
- Experience in developing data pipelines and reporting using tools like PostgreSQL, AWS Grafana, AWS Quighsight, Apache AirFlow, AWS Bedrock etc.
- Strong proficiency in SQL and Python for data engineering, analytics, and automation.
- Deep understanding of relational and non-relational databases.
- Experience with GitHub, source control management, branching strategies, pull requests, and code review processes.
- Experience implementing data quality, monitoring, observability, and governance solutions.
- Strong analytical, problem-solving, and troubleshooting skills.
- Excellent written, verbal, and presentation skills with the ability to communicate effectively across technical and business audiences.
- Experience working in Agile/Scrum delivery environments.
- Must be able to obtain and maintain a Public Trust clearance.
- Must have lived in the United States 3 out of the past 5 years
PREFERRED EXPERIENCE:
- SAFe Agile Certification
- Experience in healthcare IT ,CMS and understanding of regulatory requirements such as HIPAA.
- Experience and/or knowledge of CMS programs, processes, and standards.
- Experience supporting federal application for CMS or other federal agencies.
- Knowledge of fraud detection, anomaly detection, or investigative analytics solutions.
- Experience implementing Data Lake and modern data warehouse architectures
EDUCATION & CERTIFICATIONS:
- Bachelor's degree in related field
WHAT WE OFFER:
At Sparksoft, we know that people do their best work when they feel supported, inspired, and connected. That’s why we’ve built a workplace that balances comprehensive benefits with a culture of collaboration and innovation. From flexible time off to professional growth opportunities, we’re committed to helping you thrive both inside and outside of work. When you join Sparksoft, you’ll enjoy:
• Competitive compensation and a 401(k) with employer contributions to help you plan for the future
• Flexible paid time off and hybrid ways of working that support true work-life balance
• Comprehensive health coverage—including medical, dental, vision, life, and disability insurance
• A curated in-office experience designed to foster community, team connections, and innovation
• Opportunities to give back through Sparksoft Cares, including annual company-wide fundraising events
• Training and development programs that build new skills and prepare you for leadership roles
• A collaborative, transparent, and fun culture—recognized as a Great Place to Work®
Accessibility and Accommodations: Sparksoft Corporation is committed to providing equal employment opportunities to all individuals. If you require accommodations during the application or interview process, please contact us at [email protected] or call 410-424-7700. Requests are reviewed and fulfilled on a case-by-case basis.
Security Notice: Your privacy and data security are important to us. Sparksoft Corporation will never request sensitive personal information via email. If you receive any suspicious communication claiming to be from Sparksoft, please report it immediately to our security team at [email protected].
Artificial Intelligence (AI) Policy: While Sparksoft values the appropriate use of artificial intelligence in the workplace, candidates must complete interviews and independent assessments using their own knowledge and abilities. Unless expressly permitted by Sparksoft, the use of AI during interviews and assessments is strictly prohibited. Violations may result in disqualification. Please contact your recruiter regarding accommodation needs.
