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Data Engineer
Sparksoft Corporation. Partner with business stakeholders, product owners, architects, and technical teams to understand business objectives, data requirements, and operational needs .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable cloud data solutions, data pipelines, and data models while ensuring compliance with security and regulatory standards. Proficient in SQL and Python for advanced data analysis and automation, with a strong focus on collaboration in Agile environments.
Highest-signal resume keywords
Data Pipeline DevelopmentCloud Data SolutionsSQL ProficiencyPython ProficiencyData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData ModelingData TransformationData IngestionData AnalysisData QualityRelational DatabasesNon-Relational DatabasesMonitoring SolutionsAutomation
Soft Skills
Analytical SkillsProblem-SolvingCommunication SkillsCollaborationPresentation Skills
Tools & Technologies
PostgreSQLAWS GrafanaAWS QuickSightApache AirflowAWS BedrockGitHubAgile/Scrum
Certifications & Qualifications
SAFe Agile CertificationPublic Trust Clearance
Industry Keywords
Healthcare ITCMSHIPAAFederal ApplicationsFraud DetectionAnomaly DetectionData LakeData Warehouse
Tech Stack
Tools & technologiesAirflowApacheAWSCloudGrafanaPostgresPythonSQL
About the role
Key responsibilities & impact- Partner with business stakeholders, product owners, architects, and technical teams to understand business objectives, data requirements, and operational needs
- Build data pipelines using multiple data sources, PostgreSQL, AWS Grafana, AWS QuickSight, AWS infrastructure, and associated integration technologies
- Design and implement secure, scalable, resilient, and cost-optimized cloud data solutions
- Define and implement scalable data ingestion, transformation, and consumption patterns
- Establish data engineering standards, best practices, and reusable design patterns
- Design, develop, and optimize conceptual, logical, and physical data models for analytics, reporting, dashboards, and operational systems
- Evaluate emerging technologies and recommend platform and performance improvements
- Ensure data architecture aligns with business requirements, governance standards, and 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
- Establish monitoring, alerting, observability, and automated recovery mechanisms for 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 to technical and non-technical stakeholders
Requirements
What you’ll need- Bachelor’s degree in computer science, Information Systems, Engineering, or a related field
- 7+ years of experience as a Data Engineer, Data Platform Engineer, or similar role
- Extensive hands-on experience designing and implementing data platforms and cloud-based data solutions
- Experience developing data pipelines and reporting using PostgreSQL, AWS Grafana, AWS QuickSight, Apache Airflow, AWS Bedrock, and related tools
- 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
- 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: SAFe Agile Certification
- Preferred: Experience in healthcare IT, CMS, and HIPAA regulatory requirements
- Preferred: Experience with CMS programs, processes, and standards
- Preferred: Experience supporting federal applications for CMS or other federal agencies
- Preferred: Knowledge of fraud detection, anomaly detection, or investigative analytics solutions
- Preferred: Experience implementing Data Lake and modern data warehouse architectures
Benefits
Comp & perks- Competitive compensation
- 401(k) with employer contributions
- Flexible paid time off
- Hybrid ways of working
- Medical, dental, vision, life, and disability insurance
- Curated in-office experience
- Annual company-wide fundraising events through Sparksoft Cares
- Training and development programs
- Collaborative, transparent, and fun culture
- Great Place to Work® recognition