Data analyst jobs in Cranston, RI

DIVIDEX Management, LLC advises some of the country's largest public pension funds and institutional investors to seek to help them manage their exposures to and recoveries from global securities litigation as an asset class. The involves detailed financial and legal analyses of potential and active securities fraud cases in the US and around the world. Additionally, DIVIDEX provides securities fraud class action settlement claim analysis and reconciliation to seek to ensure that clients receive all amounts due to them. These functions require frequent data collection from custodial and commercial data bases, utilizing our patented systems to establish estimated valuations, and generating reports and recommendations to our clients. About the job This analyst function is full-time on-site in Westwood, Massachusetts to support DIVIDEX services to institutional investor clinets. This role combines aspects of database management, public markets and legal analyses and is an exceptional opportunity for a recent college graduate with interests in quantitative analytics, public securities markets and group litigation law. Job responsibilities will include performing damages/loss analyses based on client trading activity as applied to securities fraud allegations. The analyst will employ various proprietary analytical tools, evaluate results, produce reports, and update our database and client portal. To support these analyses, the analyst will also assist in acquiring client data from custodian portals and verify the quality of that data. Using results and payment data, the analyst will also perform settlement payment analyses to verify that clients were compensated properly. Finally, the analyst will perform ad hoc damages analyses, support internal application development efforts, and help support other team members, including legal and technical, in their analytical work. Requirements Demonstrated self-starter with strong references Strong analytical and quantitative skills Strong computer skills Deep experience in Excel required Understanding of publicly-traded equities and market performance is preferred Familiarity with financial data (transactions, holdings, corporate actions, identifiers, etc.) is preferred Experience in databases and/or reporting tools is preferred Undergraduate study in business, finance or technology preferred Experience using Bloomberg is a plus Experience in VBA and/or SQL is a plus Experience in investigating publicly-available corporate and legal information is a plus Knowledge of fund accounting concepts is a plus Start date December 2025 or earlier Benefits Starting salary of 75,000+ depending on experience Full medical coverage including health, dental, vision, life and disability insurance Retirement and profit sharing plan High energy, professional work environment at easy commuter location

first PRO is now accepting resumes for a Business Systems Analyst, Treasury & Investment Finance Systems in Boston, MA. This is a direct hire role and onsite 3 days per week. TECHNOLOGY EXPERIENCE Experience with treasury management systems such as GTreasury, Kyriba, Bellin, HazelTree, Reval, etc. (required) Experience configuring or supporting the Salesforce platform (preferred) Exposure to FX hedging tools such as Kyriba (preferred) Experience with cash projection and liquidity reporting (preferred) Understanding of SWIFT messaging (MT messages / ISO 20022 standards) and U.S. payment networks (ABA, ACH) (required) Experience implementing and maintaining SaaS platforms Hands-on experience building or maintaining system integrations (APIs) Familiarity with iPaaS tools such as Workato or Power Automate (preferred) Experience with business intelligence and reporting tools (Tableau, Power BI) QUALIFICATIONS Bachelor's or advanced degree in Computer Science, Information Systems, Finance, or a related discipline Master's degree with a concentration in Technology or Systems (preferred) Minimum of 3 years of relevant professional experience At least 2 years of experience implementing and supporting Treasury or Cash Management solutions

The Business Analyst will play a key role in supporting the banks payments modernization and ISO 20022 migration initiatives. The role involves gathering business requirements, analyzing payment workflows, ensuring compliance with ISO 20022 standards, and supporting integration with accounting and financial systems. The analyst will act as a bridge between business stakeholders, technology teams, and external vendors to ensure seamless implementation and operational efficiency. Key Responsibilities Analyze and document current-state payment processes, message flows (SWIFT MT to MX), and accounting interfaces. Define business and functional requirements for ISO 20022 migration across domestic and cross-border payment systems (RTGS, ACH, SWIFT). Work closely with operations, finance, and IT teams to ensure alignment between payment messages and accounting entries in the banks general ledger or sub-ledger systems. Conduct data mapping and gap analysis between legacy MT messages and new ISO 20022 MX formats. Support end-to-end testing (UAT, SIT) for message transformations, reconciliations, and accounting postings. Liaise with vendors, network providers, and regulatory bodies to ensure compliance with global and regional ISO 20022 mandates. Develop and maintain detailed process documentation, use cases, and data flow diagrams. Provide business support during implementation, including troubleshooting message validation and accounting integration issues.

Job Title: Data Scientist Type: Full Time Our client is looking for a Data Scientist to design and implement advanced analytics and AI solutions that solve real-world business challenges. This role offers the opportunity to innovate, explore cutting-edge technologies, and make a measurable impact. What You'll Do Lead end-to-end data science projects, from concept to deployment. Apply statistical modeling, machine learning, and deep learning to large-scale problems. Collaborate with cross-functional teams to translate business needs into data-driven strategies. Drive innovation through experimentation and advanced analytics. What We're Looking For Ph.D. in Statistics, Biostatistics, or Operations Research with 2+ years of experience OR Master's with 5+ years in data science. Expertise in Python, R, or SQL Cloud platforms (e.g., Databricks) GLMs, Model Regularization, Probability Distributions, Hypothesis Testing Machine Learning (Random Forest, Gradient Boosting, Clustering) Simulation, Experimental Design, Non-Parametric Statistics Proven experience leading full-cycle data science projects. Background in risk management or insurance is a plus. Benefits & Perks Competitive compensation and performance-based incentives. Comprehensive health and wellness programs. Retirement plans (401(k) and pension). Flexible work arrangements and generous paid time off. Tuition reimbursement and continuous learning opportunities.

A leading intellectual property law firm in Boston is seeking a dynamic attorney to join their innovative cyber and privacy litigation team. The ideal candidate will have prior litigation experience and strong interpersonal skills, with responsibilities including managing complex disputes, working closely with clients, and conducting court appearances. This role promises significant early responsibility and opportunities for professional growth in a supportive environment. #J-18808-Ljbffr

Daice Labs, founded by MIT CSAIL scientists, builds hybrid frameworks that integrate LLMs/DL with symbolic reasoning and bio-inspired system design to create adaptable AI systems capable of continual learning and explainable decision-making. Daice Labs operates under two main tracks: the Product Lab, which focuses on building a collaboration platform where human teams co-build with hybrid AI, and the AI Research Lab, which uses principles of natural intelligence to guide the design of hybrid AI architectures. We believe the next leap in productivity comes from the collaboration between human teams and specialized AIs working together on shared contexts. Role Description This is a full-time remote Data Analyst Intern role. The intern will be responsible for collecting, analyzing, and interpreting complex data sets to support decision-making processes. Day-to-day tasks include data modeling, utilizing statistical techniques to uncover insights, preparing comprehensive data visualizations, and presenting findings clearly. The intern will also collaborate with cross-functional teams to ensure the alignment of analytical results with organizational goals. Qualifications Proficiency in Analytical Skills and Data Analytics Strong understanding of Statistics and ability to perform data analysis Experience with Data Modeling and working with structured or unstructured data Effective Communication skills to present and explain findings to diverse stakeholders Familiarity with programming languages such as Python, R, or SQL is a plus Strong problem-solving mindset and ability to work independently or collaboratively Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related field

Business Systems Analyst Must Have: Bachelor's degree or equivalent experience in finance, economics, computer science, or technology related field. Minimum of 2-5+ years of experience in the financial services industry, ideally supporting buy?side technology. Possesses solid knowledge of Equity, Fixed Income, and Derivatives asset classes. Demonstrated strong SQL skills and a solid understanding of investment data. Proven ability to efficiently utilize resources and communicate with others, both verbally and in writing. Proven analytical skills and demonstrated ability to make independent decisions. A firm understanding of systems development lifecycle and Agile framework. Proven ability to develop creative solutions to meet business needs.

The Business Analyst can work from either Boston, MA or Springfield, MA office in Hybrid capacity. As a Business Analyst, you will drive translating business needs into the requirements for Processes and Technology to execute on supporting our customer and employee experiences. To be successful, you will: Document business requirements with detailed technical specifications Understand process flows and ensure interconnectivity of systems and applications Act as a liaison between Underwriting and other teams and advocate for necessary changes Translate customer and employee needs into documented, actionable solutions with clear measurement mechanisms in service of business outcomes Provide proper documentation for the Product team to prioritize features and enhancements against a prioritization framework Support Business owner, Product Manager and peers to align requirements to roadmaps Proactively identify opportunities to improve business processes by maintaining a strong knowledge of available and upcoming features delivered by external vendors Update procedural and processes changes Ensure development outputs meet business expectations by maintaining strong cross-functional relationships with technical and architecture teams Keep change management principles in mind, to work with the team to establish launch readiness in response to system and process updates Work independently and with management on highly visible, divisional/cross-divisional complex products and projects Be sought as a key resource for documentation of unique or complex business problems Drive continuous improvement and efficiencies beyond own scope of responsibility Required Qualifications: Bachelor's degree 7+ years' experience supporting projects and driving execution of complex technical work Business Analyst experience for Underwriting systems Understanding of Waterfall and Agile processes and documentation Strong requirements documentation skills Ability to drill down from the big picture to process details Ability to think strategically Ability to collaborate across diverse teams and organizations Preferred Qualifications: Individual who enjoys solving complex problems and improving team processes Lide underwriting knowledge Exposure to customer experience/user experience practices Proven ability to partner with cross-functional teams to design, configure, test, and deploy Demonstrated ability to adapt to changing business priorities Experience with additional requirements tools including JIRA and Confluence

Job Description: Oracle Fusion Analytics Warehouse Consultant(FAW) Oracle FAW Consultant / Developer / Analyst About the Role We are seeking an experienced Oracle Fusion Analytics Warehouse (FAW) Consultant to join our team. The ideal candidate will have hands-on expertise in Oracle FAW, OTBI, OAC, and Oracle Fusion Cloud applications (ERP, HCM, SCM, etc.). You will be responsible for designing, developing, and maintaining analytics solutions, ensuring stakeholders get actionable insights from Oracle Cloud data. Key Responsibilities Implement, configure, and support Oracle FAW (Fusion Analytics Warehouse). Develop and customize dashboards, KPIs, and reports using OTBI (Oracle Transactional Business Intelligence), OAC (Oracle Analytics Cloud), and FAW. Integrate FAW with Oracle Fusion applications (ERP, HCM, SCM, CX, etc.) for end-to-end reporting. Collaborate with business stakeholders to gather requirements and translate them into analytics/reporting solutions. Perform data modeling, data mapping, and metadata configuration for FAW. Optimize performance of dashboards, reports, and ETL processes. Provide ongoing support, troubleshooting, and enhancements to FAW and OAC solutions. Ensure compliance with data governance, security, and reporting standards. Document technical solutions and deliver knowledge transfer to business/technical teams. Required Skills & Qualifications Bachelor's degree in Computer Science, Information Systems, or related field. 3-7 years of experience in Oracle Analytics/BI, with at least 1-2 years in Oracle FAW. Strong hands-on experience with: Oracle Fusion Analytics Warehouse (FAW) OTBI (Oracle Transactional BI) OAC (Oracle Analytics Cloud) Fusion ERP, HCM, or SCM Cloud modules Good understanding of data warehousing, ETL processes, and BI concepts. Experience with SQL, Data Modeling, RPD (Repository Development in OAC/OBIEE). Familiarity with security configuration (roles, permissions) in FAW and OAC. Excellent communication and stakeholder management skills.

Job Title: Business Analyst Duration: 6 months Core Skills and Expertise: Expert in Agile and Scrum methodologies, including requirements gathering and process mapping. Expert-level knowledge in capturing BRDs, FRDs, epics, user stories, acceptance criteria, and defining Definition of Done. Skilled in data manipulation using Excel, SQL, BI tools, dashboards, and data visualization. Ability to collaborate with cross-functional teams-including marketing, UX, IT, finance, and operations-to align digital initiatives with overall business objectives. Perform customer behavior research and market trend analysis to guide e-commerce strategy. Strong background in the Retail Domain, with extensive e-commerce experience.

Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company's future with cloud and data. For more information, visit ************ Data Architect - HR Data & Analytics Boston, MA (3-4 days onsite a week) Role Overview: The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support KKR's global HR analytics, KPIs, and reporting initiatives. This role involves translating complex business requirements into scalable, governed data solutions built on Snowflake and integrated with Workday and other HR systems. The ideal candidate will combine deep technical expertise with a strong understanding of HR data domains, ensuring data integrity, accessibility, and analytical value across the organization. Key Responsibilities: Architect & Model: Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting. Data Integration: Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems. Governance & Quality: Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance. Documentation & Metadata: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines, ensuring high-performance data transformation and loading processes. Collaboration: Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets. Testing & Validation: Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy. Lifecycle Support: Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions. Required Experience & Skills: Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms. Advanced SQL skills and hands-on experience with data transformation and pipeline optimization tools. Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques. Demonstrated experience working with HR data structures, Workday, or other HRIS systems. Strong analytical mindset and problem-solving ability, with attention to data integrity and business context. Experience with Python for data engineering, automation, or orchestration tasks. Track record of designing data warehouses or analytical platforms leveraging HR data to drive insights and advanced reporting. Preferred Experience & Skills: Experience building and supporting data warehouses specifically for HR and People Analytics domains. Hands-on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management. Proficiency with data visualization tools such as Tableau or Power BI. Experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). Familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting. Experience working in an enterprise environment with cross-functional collaboration between HR, Finance, and Technology teams. Ness is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law

Job Title: Sr. Data Architect- HR Data & Analytics Duration: 6 - 12+ Months Notes : Snowflake,ETL/ELT, HRIS, SQL, Python. The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support HR analytics, KPIs, and reporting initiatives. This role involves translating complex business requirements into scalable, governed data solutions built on Snowflake and integrated with Workday and other HR systems. The ideal candidate will combine deep technical expertise with a strong understanding of HR data domains, ensuring data integrity, accessibility, and analytical value across the organization. Key Responsibilities Architect & Model: Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting. Data Integration: Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems. Governance & Quality: Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance. Documentation & Metadata: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines, ensuring high-performance data transformation and loading processes. Collaboration: Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets. Testing & Validation: Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy. Lifecycle Support: Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions. Required Experience & Skills Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms. Advanced SQL skills and hands-on experience with data transformation and pipeline optimization tools. Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques. Demonstrated experience working with HR data structures, Workday, or other HRIS systems. Strong analytical mindset and problem-solving ability, with attention to data integrity and business context. Experience with Python for data engineering, automation, or orchestration tasks. Track record of designing data warehouses or analytical platforms leveraging HR data to drive insights and advanced reporting. Preferred Experience & Skills Experience building and supporting data warehouses specifically for HR and People Analytics domains. Hands-on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management. Proficiency with data visualization tools such as Tableau or Power BI. Experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). Familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting. Experience working in an enterprise environment with cross-functional collaboration between HR, Finance, and Technology teams.

Role: Aure Data Factory Architect Type: Contract About Smart IT Frame: At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together. Job Summary: We are seeking an experienced Architect with 7 to 9 years of experience to join our team in a hybrid work model. The ideal candidate will have expertise in Snowflake Tasks and Azure Data Factory, with a strong understanding of Industry Essentials and Finance & Accounting. This role involves designing and implementing data solutions that align with business objectives, ensuring data integrity and efficiency. The position does not require travel and operates during day shifts. Responsibilities : Design and implement scalable data architecture solutions using Snowflake Tasks and Azure Data Factory to support business needs. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Ensure data integrity, security, and compliance with industry standards and regulations. Optimize data processing workflows to enhance performance and reduce latency. Provide technical guidance and support to development teams throughout the project lifecycle. Develop and maintain documentation for data architecture and processes to ensure knowledge sharing and continuity. Conduct regular assessments of data systems to identify areas for improvement and implement necessary changes. Monitor and troubleshoot data pipelines to ensure seamless data flow and address any issues promptly. Stay updated with the latest industry trends and technologies to continuously improve data solutions. Work closely with stakeholders to understand business objectives and align data architecture accordingly. Implement best practices for data management and governance to ensure data quality and consistency. Collaborate with IT and business teams to integrate data solutions with existing systems and platforms. Provide training and support to team members on data architecture and related technologies. Qualifications : Possess strong expertise in Snowflake Tasks and Azure Data Factory, with a proven track record of successful implementations. Demonstrate a solid understanding of Industry Essentials and Finance & Accounting, with the ability to apply domain knowledge to data solutions. Exhibit excellent problem-solving skills and the ability to work independently as well as part of a team. Have strong communication skills to effectively collaborate with technical and non-technical stakeholders. Show a commitment to continuous learning and staying updated with the latest advancements in data architecture and related technologies. 📩 Apply today or share profiles at ***************************

A services company in Massachusetts has a current opportunity for a PPM Analyst on a contract basis. Responsibilities: Serve as an administrator and analyst for the Enterprise Portfolio Management tool, ensuring its functionality aligns with organizational requirements Configure and maintain tool settings, workflows, dashboards, reports, and integrations to support portfolio, program, and project management processes Manage user access, roles, and permissions, ensuring compliance with security and governance policies Monitor tool performance and troubleshoot issues to ensure seamless operation, may be accountable to ensure effective system upgrades Oversee data accuracy and integrity within the enterprise tool, performing regular audits and updates as needed Develop and maintain custom dashboards, reports, and analytics to provide actionable insights into portfolio performance Provide training to new and existing users on tool functionality, processes, and best practices Develop user guides, FAQs, and other training documentation to support tool adoption and effective usage Act as a liaison between the organization and enterprise portfolio vendor representatives for tool enhancements, upgrades, and support Support change management efforts related to tool adoption and updates, ensuring smooth transitions for users Monitor portfolio health and provide recommendations to improve resource allocation and project prioritization Qualifications: 3+ years of experience in Portfolio Management tools administration Bachelor's degree in Information Technology, Business Administration, Project Management, or a related field (or equivalent experience). Proficiency in configuring and administering Enterprise Portfolio Management tools (or similar PPM tools) Strong analytical skills with the ability to interpret complex data and generate meaningful insights Knowledge of Portfolio, Program, and Project Management methodologies (e.g., PMI standards, Agile frameworks) Excellent communication and collaboration skills to work with diverse stakeholders. Advanced proficiency in Microsoft Excel and data visualization tools (e.g., Power BI). Ability to manage competing priorities and meet deadlines in a fast-paced environment. Desired Skills: Working knowledge of Planview Experience working within a PMO, IT, or Project Management environment

A leading global law firm is seeking an Conflicts Analyst to join its Office of the General Counsel team. This role plays a critical part in ensuring compliance and supporting firmwide risk management by preparing and analyzing conflicts reports related to new client business and incoming attorneys. The position involves reviewing new business and lateral conflicts checks across advisory, NDAs, transactional matters, and more. This role can sit hybrid in DC, Boston or LA. Key Responsibilities: Prepare and analyze standard conflicts reports for new clients, matters, and lateral hires. Communicate with attorneys and staff regarding conflict check results, missing information, and requirements. Update data in conflicts databases and conduct corporate research using internal/external sources. Research corporate entities subject to conflicts review using electronic databases, the Internet, and print sources. Analyze attorney responses concerning potential or actual conflicts and escalate as needed. Maintain and protect highly sensitive and confidential information at all times. Qualifications: Bachelor's degree required (or 4+ years of relevant experience in lieu of degree). Minimum of 3 years of experience demonstrating professional interpersonal skills, problem solving, and independent work. At least 2 years of relevant experience in a law firm or professional services firm, preferred. At least 2 years of experience with Intapp software, preferred.

Hybrid - Boston MA, Richmond VA, or McLean VA Long Term - Ex Capital one Required Skills & Experience 5-8+ years in backend or data engineering. PySpark & Python (expert level). AWS: Hands-on experience with Glue, Lambda, EC2; Step Functions preferred. Strong background in ETL/ELT and large-scale ingestion pipelines. Experience supporting accounting/reporting data flows or similar financial processes. Knowledge of secure file transfer, validation, audit, and compliance workflows. Solid understanding of distributed systems, CI/CD, and DevOps practices.

Role: Data Science Engineer Note: In-person interview required This is a 12+ month, ongoing contract with our insurance client in Boston, MA 4x hybrid per week with a mandatory final onsite interview. We are seeking a talented Data Science Engineer to join our team and contribute to the development and implementation of advanced data solutions using technologies such as AWS Glue, Python, Spark, Snowflake Data Lake, S3, SageMaker, and machine learning (M/L). Overview: As a Data Science Engineer, you will play a crucial role in designing, building, and optimizing data pipelines, machine learning models, and analytics solutions. You will work closely with cross-functional teams to extract actionable insights from data and drive business outcomes. Develop and maintain ETL pipelines using AWS Glue for data ingestion, transformation, and integration from various sources. Utilize Python and Spark for data preprocessing, feature engineering, and model development. Design and implement data lake architecture using Snowflake Data Lake, Snowflake data warehouse and S3 for scalable and efficient storage and processing of structured and unstructured data. Leverage SageMaker for model training, evaluation, deployment, and monitoring in production environments. Collaborate with data scientists, analysts, and business stakeholders to understand requirements, develop predictive models, and generate actionable insights. Conduct exploratory data analysis (EDA) and data visualization to communicate findings and trends effectively. Stay updated with advancements in machine learning algorithms, techniques, and best practices to enhance model performance and accuracy. Ensure data quality, integrity, and security throughout the data lifecycle by implementing robust data governance and compliance measures. Requirements added by the job poster • 4+ years of work experience with Amazon Web Services (AWS) • 2+ years of work experience with Machine Learning • Accept a background check • 3+ years of work experience with Python (Programming Language) • Working in a hybrid setting

Hi, this is Eric 👋 We're hiring a stellar Data Engineer to join our engineering org at Basil Systems. At Basil Systems, we're revolutionizing healthcare data access and insights for the life sciences industry. We've built powerful platforms that help pharmaceutical and medical device companies navigate complex regulatory landscapes, accelerate product development, and ultimately bring life-saving innovations to market faster. Our SaaS platforms transform disconnected data sources into actionable intelligence, empowering organizations to make data-driven decisions that improve patient outcomes and save lives. The Role We are seeking a Senior Data Engineer to own and advance the data infrastructure that powers our healthcare insights platform. As our engineering team scales and we expand our data capabilities, we need someone who can build reliable, scalable pipelines while ensuring data quality across increasingly complex regulatory sources. Key Responsibilities Design, build, and maintain robust ETL processes for healthcare regulatory data Integrate new data sources as we onboard customers and expand platform capabilities Optimize pipeline performance and reliability Ensure data accuracy and consistency across complex transformation workflows Qualifications 5+ years of professional experience as a data engineer or in a similar role Experience with Apache Spark and distributed computing Familiarity with common ML algorithms and their applications Knowledge of or willingness to learn and work with Generative AI technologies Experience with developing for distributed cloud platforms Experience with MongoDB / ElasticSearch and technologies like BigQuery Strong commitment to engineering best practices Nice-to-Haves Solid understanding of modern security practices, especially in healthcare data contexts Subject matter expertise in LifeSciences / Pharma / MedTech This role might not be for you if... You're a heavy process advocate and want enterprise-grade Scrum or rigid methodologies You have a need for perfect clarity before taking action You have a big company mindset What We Offer Competitive salary Health and vision benefits Attractive equity package Flexible work environment (remote-friendly) Opportunity to work on impactful projects that are helping bring life-saving medical products to market Be part of a mission-driven team solving real healthcare challenges at a critical scaling point Our Culture At Basil Systems, we value flexibility and support a distributed team. We actively employ and support remote team members across different geographies, allowing you to work when, where, and how you work best. We are committed to building a diverse, inclusive, and safe work environment for everyone. Our team is passionate about using technology to make a meaningful difference in healthcare. How to Apply If you're excited about this opportunity and believe you'd be a great fit for our team, please send your resume and a brief introduction to *****************************. Basil Systems is an equal opportunity employer. We welcome applicants of all backgrounds and experiences.

Job Title: ETL Data Engineer with SpringBatch Experience - W2 only - We can provide sponsorship Duration: Long Term MUST HAVES: Strong SQL for querying and data validation Oracle AWS ETL experience with Java SpringBatch (for the ETL data transformation). Note: the ETL work is done in Java (so Python is only a nice to have). The Expertise and Skills You Bring Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 5+ years of working experience 4+ years of Java development utilizing Spring frameworks. Experience writing batch jobs with Spring Batch is a must 2+ years of experience developing applications that run in AWS, with focus on AWS Batch, S3, IAM 3+ years working with SQL (ANSI SQL, Oracle, Snowflake) 2+ years of Python development Experience with Unix shell scripting (bash, ksh) and scheduling / orchestration tools (Control-M) Strong data modeling skills with experience working with 3NF and Star Schema data models Proven data analysis skills; not afraid to work in a complex data ecosystem Hands-on experience on SQL query optimization and tuning to improve performance is desirable Experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Terraform, CloudFormation) Experience in Agile methodologies (Kanban and SCRUM) Experience building and deploying containerized applications using Docker Work experience in the financial services industry is a plus Proven track record to handle ambiguity and work in a fast-paced environment, either independently or in a collaborative manner Good interpersonal skills to work with multiple teams within the business unit and across the organization