Role Description Design, build, and maintain scalable data infrastructure and pipelines that support banking operations, analytics, and regulatory compliance. This role bridges technical leadership with strategic business needs, ensuring data is accurate, secure, and accessible. Key Responsibilities - Data Architecture & Pipeline Development - Design and implement robust, scalable data pipelines for structured and unstructured data. - Oversee ETL/ELT processes to ingest data from core banking systems, CRM, and external sources. - Ensure data models support real-time analytics, reporting, and machine learning. - Collaborate with data scientists and analysts to provide usable, cleaned and aggregated data to end users. - Governance, Security & Compliance - Ensure data practices comply with banking regulations (e.g., Basel III, GDPR, local laws). - Implement data governance frameworks, including metadata management and lineage tracking. - Collaborate with cybersecurity teams to safeguard sensitive financial data. - Performance Optimization - Monitor and optimize data infrastructure for performance, reliability, and cost-efficiency. - Troubleshoot data issues and ensure high availability of data services. - Innovation & Tooling - Evaluate and adopt modern data technologies (e.g., cloud platforms, data lakes, streaming tools). - Promote automation and DevOps practices in data engineering workflows. Qualifications - Bachelor’s or Master’s in Computer Science, Data Engineering, or related field. - At least 7 years in data engineering, with 2+ years in a leadership role. - Strong experience with SQL, Python/Scala, Spark, Kafka, and cloud platforms (AWS/GCP/Azure). - Familiarity with banking systems, financial data structures, and regulatory requirements. - Excellent communication and stakeholder management skills.

• Define the overall migration strategy, scope, approach (phasing/co-existence if applicable), and acceptance criteria; align with program releases and cutover milestones. • Develop and maintain the data migration plan (timeline, environments, mock runs/dress rehearsals, final cutover), including dependencies with Integration, Testing, Operations, and legacy platform teams. • Govern vendor delivery: review and validate vendor migration design, runbooks, ETL approach, mapping specifications, transformation rules, and reconciliation logic; ensure clear RACI and delivery ownership. • Coordinate with banks business and IT SMEs to validate source-to-target mappings, reference data alignment, and critical business rules (e.g., product parameters, balances, interest, fees, account status). • Define and execute banks verification controls with the vendor (record counts, control totals, balance/GL tie-outs, exception management) and obtain stakeholder sign-off for each migration cycle. • Lead migration defect triage from a banks perspective: ensure issues are logged, prioritized, tracked to closure, and that RCA is completed for recurring defects; escalate risks early. • Ensure test data readiness for SIT/UAT and parallel run activities (data refreshes, data masking where required, refresh cadence, and data-related test support). • Plan and coordinate cutover data activities and readiness checkpoints (pre-cutover snapshots, load sequencing, reconciliation checkpoints, rollback/fallback approach) with minimal downtime and operational impact. • Ensure compliance with banks data governance, security, and regulatory requirements throughout migration (access control, secure transfer, audit trail, retention and masking for non-production). • Provide regular status reporting (progress, risks, issues, decisions) to program governance and senior stakeholders; maintain RAID and action logs for the data migration workstream.

Role Description The Oncology Data Specialist-Certified is responsible for complete and accurate abstracting of cancer data in accordance with the American College of Surgeons requirements and the Florida Cancer Data system. The incumbent identifies applicable cases for inclusion in the registry (case-finding), abstract and lifetime follow-up of cancer cases diagnosed and/or treated at Tampa General Hospital. This position also assists with various department activities including but not limited to: - Tumor conferences - Cancer Committee meetings - CoC preparation for accreditation and survey - RCRS submissions - FCDS reporting Qualifications - Associate's Degree in Arts or Science - Oncology Data Specialist-Certified: If currently enrolled into an approved program, you must obtain their certification within the first year of employment - Minimum of one year cancer registry abstracting experience in a Commission on Cancer (CoC) approved Cancer Registry - Experience with Cancer Registry Software (CNEXT/Oncology) Company Description

Role Description In these roles, you will play a key part in designing and delivering scalable, secure, and high-performing data solutions that enable analytics, reporting, and strategic decision-making across the organization. You’ll work hands-on with modern data platforms and collaborate with cross-functional partners to transform complex data into actionable insights. Whether you’re early in your career building foundational skills or an experienced engineer leading enterprise-scale initiatives, you’ll contribute to a data-driven culture by developing reliable pipelines, advancing data quality and governance, and continuously improving our cloud-based data ecosystem. These are full-time, exempt roles. Qualifications - Degree in Data Science, Computer Science, or a related field - Must be eligible to work in the US without requiring any sponsorship, now or in the future (Law Permanent Residence or US Citizen) - Experience with data engineering, ETL/ELT, and data modeling - Proficiency in SQL and Python (advanced at senior levels) - Strong problem-solving, communication, and collaboration skills - Experience with cloud data platforms (Azure preferred) - Passion for building high-quality, reliable data solutions Requirements - Design, build, and optimize data pipelines and ETL workflows - Develop scalable data models, data structures, and data integrations - Work with modern cloud platforms including Azure Synapse, Data Factory, Data Lake, and Databricks - Ensure data quality, governance, security, and compliance - Partner with business stakeholders, analysts, and data scientists - Contribute to or lead complex, cross-functional data initiatives - Improve platform reliability through monitoring, validation, and automation - Create clear documentation, runbooks, and data lineage - Mentor junior engineers (Senior-level roles) Benefits - Medical, dental, vision, life, and disability insurance - 401K with a company match - Tuition reimbursement - PTO - Company paid holidays - Flexible work arrangements - Cultural Awareness Day in support of IDE - On-site medical/wellness center (Worcester only)