senior data engineer

data engineer

sr. financial analyst

.net technical lead

ai engineer

senior database engineer

REPLY

<div><div>Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.</div><br>
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We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. In this role, you will combine deep technical expertise with strong consulting skills &mdash; engaging directly with clients, understanding business needs, translating requirements into scalable technical solutions, and communicating clearly with both technical and non-technical stakeholders.</div>
<h3 class="jobSectionHeader"><b>Responsibilities</b></h3><div>
<ul><li>Work directly with clients to understand business goals, data challenges, and technical requirements</li>
<li>Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews</li>
<li>Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources</li>
<li>Implement medallion/Lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases</li>
<li>Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks</li>
<li>Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security</li>
<li>Help establish engineering standards, reusable frameworks, accelerators, and documentation for internal and client teams</li>
<li>Contribute to estimation, project planning, and delivery management for client engagements</li>
</ul></div><h3 class="jobSectionHeader"><b>Minimum Requirements</b></h3><div>
<ul><li>Bachelor&rsquo;s degree in computer science or related field</li>
<li>8 years of experience in data engineering, data platform development, or cloud data solutions</li>
<li>3 years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies</li>
<li>Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB</li>
<li>Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI</li>
<li>Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics &amp; reporting, Apache Spark, and networking requirements</li>
<li>DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)</li>
<li>Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies</li>
</ul></div><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3><ul>
<li>Azure Database for PostgreSQL</li>
<li>Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.</li>
<li>Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements</li>
<li>Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps</li>
<li>Experience with Delta Lake, Unity Catalog, and Databricks workspace administration or governance.</li>
<li>Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft</li>
</ul><div><div>About Reply</div>
<div></div>
<div>Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.</div>
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<div></div><div>The base compensation range for this full-time position is between $130,000-$160,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also consider prior experience, relevant skills, education, training, certifications, and other job-related qualifications. If you have questions regarding compensation, the talent acquisition team can provide details during the interview process.</div>
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</div><div>Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.</div>
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<p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior Data Engineer

PERMUTE

<div><p><b>Senior Data Engineer &ndash; AI Systems</b><br>
<b>Employment Type:</b> Full-time<br>
<b>Company:</b> Permute (www.permute.ai)</p><p></p><h2 class="jobSectionHeader"><b>
Overview</b></h2><p>
Permute is seeking a <b>Senior Data Engineer</b> to design, build, and operate the data infrastructure that powers production AI systems. This role is for builders who move quickly, think clearly in ambiguous situations, and take ownership of turning messy data and evolving requirements into reliable, scalable systems.</p><p>
We care as much about <b>how you think and build</b> as we do about your background. The ideal candidate is someone who can reason through new data problems, prototype quickly, and build robust pipelines and infrastructure in a fast-moving startup environment.</p><p></p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li><p>
Design and build <b>scalable data pipelines and infrastructure</b> supporting AI and ML systems</p></li><li><p>
Develop and maintain <b>data ingestion, transformation, and storage systems</b> for large-scale datasets</p></li><li><p>
Build data platforms that support <b>LLM systems, agent workflows, and model evaluation</b></p></li><li><p>
Develop tooling for <b>data quality, validation, monitoring, and observability</b></p></li><li><p>
Collaborate with engineering, product, and ML teams to deliver <b>data systems that power AI features</b></p></li><li><p>
Design systems that enable <b>efficient experimentation, training, and evaluation of models</b></p></li><li><p>
Optimize <b>performance, reliability, and scalability</b> of data infrastructure</p></li><li><p>
Operate effectively in <b>ambiguous, rapidly evolving startup environments</b></p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Qualifications</b></h2><ul><li><p>
Strong background in <b>data engineering and distributed systems</b></p></li><li><p>
Experience building <b>scalable data pipelines and data platforms</b></p></li><li><p>
Strong foundation in <b>algorithms, statistics, and data modeling</b></p></li><li><p>
Proficiency with <b>Python and modern data infrastructure tools</b></p></li><li><p><b>
5+ years building and operating systems in AWS environments</b></p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Background</b></h2><ul><li><p>
Degree in <b>Mathematics, Physics, Computer Science, or a related technical field</b></p></li></ul><p>
Experience with:</p><ul><li><p><b>
End-to-end production data platforms</b></p></li><li><p><b>
Streaming and batch data processing systems</b></p></li><li><p>
Data infrastructure supporting <b>ML training, MLOps, evaluation, and deployment</b></p></li><li><p><b>
Data quality, monitoring, and observability systems</b></p></li><li><p>
Infrastructure supporting <b>AI or LLM-powered applications</b></p></li></ul><p>
Compensation Range: $180K - $280K</p></div>

Webster University

<div><p><b>Job Title: Senior Data Engineer<br>
</b></p><p></p><p><b>Position Summary:
</b></p><p>The Sr. Data Engineer drives the build, design and implementation of enterprise-grade data pipelines and platform components across healthcare use cases. With expert knowledge of data modeling, distributed processing (e.g., Spark, Airflow), and cloud-based architectures, they ensure that data infrastructure is secure, performant, and scalable. In addition to building, they champion code quality, observability, and CI/CD best practices using Git and Infrastructure as Code. They lead teams by example in sprint execution, backlog management, and inter-team communication&mdash;frequently interfacing with analysts, data scientists, and product owners to ensure alignment and shared understanding.<br>
</p><p></p><h1 class="jobSectionHeader"><b>Essential Duties and Responsibilities:
</b></h1><ul><li>Build enterprise-level scalable, low-latency, fault-tolerant data platforms that provide meaningful and timely insights.
</li><li>Collaborate with a team of engineers to design and build data pipelines using big data technologies (Spark, Snowflake, AWS Big Data Services, Iceberg, Airflow) for medium to large-scale datasets.
</li><li>Influence best practices for data pipeline design, data architecture, and processing of structured and unstructured data.
</li><li>Automate and manage Git workflows, including CI/CD pipelines and Git hooks for data pipeline validation.
</li><li>Design and deploy event-driven serverless functions using AWS Lambda, Step Functions, or API Gateway.
</li><li>Implement and manage feature flag frameworks to support safe data product rollouts.
</li><li>Identify and resolve data quality issues, including inaccuracies and incomplete information. Enhance data quality efforts by implementing improved procedures and processes.
</li><li>Author detailed technical specifications and design documents for internal data products.
</li><li>Work in a creative &amp; collaborative environment driven by agile methodologies.
</li><li>Continuously improve our products, systems, code, and team processes. Implement best practices and raise the bar by introducing new ones.
</li></ul><h2 class="jobSectionHeader"><b>Education and Experience:
</b></h2><ul><li>Bachelor&rsquo;s degree in data engineering, Computer Science.
</li><li>Python &amp; PySpark (6&ndash;8 yrs) &ndash; Designed reusable data pipeline frameworks and transformations for healthcare data.
</li><li>Airflow (5&ndash;6 yrs) &ndash; Authored complex DAGs to orchestrate multi-stage ETL workflows across systems.
</li><li>AWS Glue &amp; Lambda (4&ndash;6 yrs) &ndash; Led implementation of serverless ingestion pipelines integrated with S3.
</li><li>Iceberg (2+ yrs) &ndash; Modeled transactional lakehouse tables with schema evolution and time-travel support.
</li><li>EMR Studio (2&ndash;3 yrs) &ndash; Used for pipeline prototyping, debugging, and notebook-based collaboration.
</li>Docker/Kubernetes (3&ndash;5 yr) &ndash; Built and deployed containerized ETL pipelines using Docker; leveraged Kubernetes to orchestrate scalable data workflows in production environments<br>
<li>
</li></ul><p></p><p>The expected base salary for this position ranges from $120,000-135,000 with a bonus target of up to 5% of the base salary. We do consider a wide range of factors when making offer decisions, including (but not limited to) the scope and responsibilities of the position, a candidate&rsquo;s relevant skills, training, experience, education and where applicable, licensure and certifications obtained. We also consider organizational and market factors when making offer decisions.<br>
</p><p><br>
Equal Employment Opportunity Statement:
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Convey Health Solutions is an Equal Opportunity Employer committed to fostering an inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local laws.
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Convey Health Solutions also provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable laws. Applicants requiring accommodation during the application or interview process should contact the Human Resources department.<br>
</p><p><br>
The Convey Health Solutions family of companies, including Pareto Intelligence&trade;, delivers a powerful combination of purpose-built technology, advanced analytics, and expert services to help health plans thrive in a complex, post, Affordable Care Act environment.
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As a trusted partner to Medicare and commercial payers, we provide scalable, compliant solutions that span the entire member lifecycle, from enrollment and billing to risk adjustment, Stars performance, and member engagement. Pareto&rsquo;s deep analytics and financial intelligence complement Conveys&rsquo; operational expertise, enabling our clients to improve performance, reduce costs, and create better healthcare experiences for millions of Americans, especially seniors and vulnerable populations.
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Together, we help health plans scale smarter, grow stronger, and make healthcare work better for the people who need it most.
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Learn more at www.ConveyHealthSolutions.com.</p></div>
<br><div><div><b>About Us
</b><br>
Convey Health Solutions, together with Pareto Intelligence&trade;, delivers a powerful combination of purpose-built technology, advanced analytics, and expert services to help health plans thrive in a complex, post-Affordable Care Act environment.
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As a trusted partner to Medicare and commercial payers, we provide scalable, compliant solutions that span the entire member lifecycle-from enrollment and billing to risk adjustment, Stars performance, and member engagement. Pareto's deep analytics and financial intelligence complement Convey's operational expertise, enabling our clients to improve performance, reduce costs, and create better healthcare experiences for millions of Americans-especially seniors and vulnerable populations.
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Together, we help health plans scale smarter, grow stronger, and make healthcare work better for the people who need it most. Learn more at http://www.ConveyHealthSolutions.com</div></div><div></div>

Avison Young

<div>Our Story:
<p><b>
About You:</b><br>
You are a high achiever looking to thrive in a fast-paced environment. You take pride in your own work but are comfortable collaborating with a team of highly motivated individuals. You can communicate clearly and concisely with teammates and clients, and you enjoy strong company culture and camaraderie. You can navigate multiple corporate functions, including global lines of service and corporate centers of excellence. You possess strong interpersonal skills and are willing to take on diverse tasks to achieve the team&rsquo;s common goal. You value personal and professional growth and are ready to take the next step in advancing your career.<br>
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If this sounds like you, well, then you will love the culture at Avison Young!<br>
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<b>About Us:</b><br>
Avison Young is a global commercial real estate brokerage and advisory firm, offering transaction, management, financial and consulting services. We&rsquo;ve designed our corporate structure to best serve our clients by enhancing collaboration across our organization.<br>
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Real estate can have an enormous positive impact on people&rsquo;s lives &ndash; and we&rsquo;re in the business of making spaces and places work better for people. Our purpose is to create real economic, social and environmental value as a global real estate advisor, powered by people.<br>
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We care about each other and we have each other&rsquo;s backs. This makes Avison Young a great place to be a client, and a great place to work. We support the whole person and their complete wellness &ndash; economic, mental and physical &ndash; because what&rsquo;s best for our business comes from our people bringing their whole selves to work.</p><div>
Of course we love it here, but outsiders think we&rsquo;re pretty great too! Avison Young has been recognized as one of Canada's Best Managed Companies for the 13th year in a row, with a Platinum Club designation!</div>
Overview:
<p>
Join Avison Young&rsquo;s dynamic Data Architecture team as a Business Analyst, where you will play a pivotal role in bridging the gap between business stakeholders, users, and developers. You will be instrumental in setting and communicating project and product goals, developing technical requirements, conducting acceptance testing, and overseeing deployments and rollouts. Your work will primarily focus on internal data systems, pipelines, and warehousing projects that support our proprietary products and data visualization teams.</p><p></p><div><b><br>
What we value in a business analyst:</b></div><ul><li>
Customer-focused: We believe that prioritizing our customers&rsquo; needs is key to driving our business forward.</li><li>
Attention to detail: Managing complex projects with numerous moving parts requires exceptional attention to detail, organizational skills, and clear communication.</li><li>
Diverse thoughts: We value diverse opinions, perspectives, and experiences, as they lead to better outcomes. You actively listen, empathize with others, and seek collaborative paths forward.</li><li>
Team player: You understand that more can be achieved together. You listen to feedback and provide supportive feedback to help others grow and improve.</li><li>
Pragmatic: You know when to take shortcuts that don&rsquo;t compromise quality or maintainability to quickly learn what our customers desire.</li><li>
Global teammate: Comfortable working in a remote environment, you thrive in a global team setting.</li></ul><div></div><div><br>
The base salary is aligned with market data and is estimated between $93,000 to $120,000 with the ability to achieve additional compensation through bonus. This salary range reflects base compensation for the position across all US locations. Within this range, individual pay is determined by work location and other factors, including relevant education/training, experience, and internal equity.</div>
Responsibilities:
<ul><li>Senior technical position focused on analytics engineering with Snowflake and dbt</li><li>
Additional responsibilities as Scrum Master for the data team</li><li>
Lead requirements gathering process for data initiatives</li><li>
Design and implement data models and transformations</li><li>
Drive data team productivity and project delivery</li></ul><div><b>
Analytics Engineering Responsibilities:</b></div><ul><li>
Design, develop, and maintain data models in Snowflake using dbt</li><li>
Create efficient SQL transformations for complex business logic</li><li>
Implement data quality testing and documentation</li><li>
Optimize query performance and data pipeline efficiency</li><li>
Establish data modeling standards and best practices</li><li>
Develop reusable analytics components and design patterns</li><li>
Collaborate with data engineers on data ingestion and architecture</li></ul><div><b>
Co-ordination Responsibilities:</b></div><ul><li>
Facilitate Agile ceremonies (daily stand-ups, sprint planning)</li><li>
Gather business requirements from stakeholders across departments</li><li>
Translate business needs into technical requirements for the data team</li><li>
Document user stories and acceptance criteria</li><li>
Prioritize backlog items based on business value and technical dependencies</li></ul>
Qualifications:
<ul><li>Expert proficiency in SQL and database management systems.</li><li>
Expert proficiency in writing requirements and testing technology systems.</li><li>
Experience in environment management, deployment management, and testing.</li><li>
Familiar with data warehousing, ETL processes, and data pipelines.</li><li>
Strong analytical skills and complex problem-solving capabilities.</li><li>
Bachelor&rsquo;s degree in Information Technology, Business, or a related field, or equivalent industry experience.</li><li>
At least 4 years of direct experience in a software development-related role.</li></ul>
Workplace Type: On-Site <i>Our Equal Opportunity Commitment</i>:
<p>
Avison Young practices as an equal opportunity employer in all services locations around the world. We are committed to building and maintaining a workforce diverse in experience, skills and knowledge with uniformity in service excellence, commitment and integrity.</p><p></p><p><br>
The firm maintains a strict policy to ensure employment opportunities are equal and do not discriminate based on race, color, religion, creed, age, sex, gender, gender identity or expression, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, protected veteran or military service status, or any other elements protected by law.</p><p></p><div><br>
Avison Young welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates during the recruitment process. For those requiring assistance, information relating to the need for accommodation and accommodation measures will be addressed confidentially.</div><p></p><p><br>
Avison Young is committed to employing the best talent with the most fair and equitable recruitment practices. Apply with us TODAY!</p></div>

The Hartford

<div>Sr Staff Data Engineer - GE07DE<p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.<br>
</p><p></p><p>T07</p><p>
A new role can expand your knowledge and your network and help you learn more about our business. If you think this opportunity is a fit for your career you should apply. If you are not sure you can have a conversation with your manager.</p><p>
The Enterprise Data Services Department&rsquo;s Personal Insurance team is seeking a hands-on Sr Staff Data Engineer to build and scale its Data assets on Snowflake and AWS platform. The role focuses on technical leadership, integrating data from new data sources, curating and transforming it into high-quality data products for actionable insights, using a mix of solutions spanning AI and Cloud technologies.</p><p>
Ideal candidates bring deep expertise in data engineering frameworks and tools, proficiency in programming languages, and experience with DevOps / DataOps pipelines, cloud platforms, and agile methodologies. Strong problem-solving, communication, and collaboration skills are essential, along with a proactive mindset and the ability to thrive in complex, fast-paced environment.</p><p>
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise.</p><p>
Key Responsibilities:</p><p>
Design, develop, and optimize highly scalable batch and near‑real‑time data pipelines supporting structured and unstructured data sources (XML, JSON, Parquet).</p><p><br>
Lead the delivery of curated, analytics‑ready data products supporting reporting, advanced analytics, regulatory, and machine learning use cases.</p><p>
Implement robust error handling, reconciliation, restartability, and performance optimization to ensure platform reliability and data integrity.</p><p>
Partner with Data Governance team for metadata management, data lineage, data quality monitoring and data privacy controls.</p><p>
Evaluate and apply AI‑assisted engineering tools to improve developer productivity, accelerate delivery, and enhance data solutions.</p><p>
Qualifications, Required Skills &amp; Experience:</p><p>
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</p><p><br>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related discipline.</p><p><br>
8+ years of progressive experience in data engineering, with significant hands‑on expertise developing and deploying large-scale data and analytics applications on cloud platforms such as AWS and Snowflake.</p><p><br>
5+ years of hands-on experience with Python and PySpark / Spark for data ingestion, transformation, and pipeline development.</p><p>
Deep hands‑on experience with Snowflake, including SQL development, ELT design, performance optimization, and semi‑structured data handling.</p><p>
Good experience working with disparate data sources- Structured, semi-structured data (Flat files, XML, JSON, Parquet) and unstructured data.</p><p>
Good experience with version control tools, CI/CD pipelines and DevOps tools like GitHub, Jenkins, Nexus and uDeploy.</p><p><br>
Strong background in Data Profiling, Data Modeling and Data governance concepts is key to this role.</p><p><br>
Nice to have</p><ul><li><p>
Certifications in AWS Data &amp; Analytics Services, AI and Snowflake.</p></li><li><p>
Experience using AI‑assisted development tools to improve productivity in SQL development, data pipeline creation, testing, and documentation.</p></li><li><p>
Experience in the Insurance industry and policy administration data environments</p></li><li><p>
Experience with Informatica Data Management Cloud</p></li></ul><p>
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).</p><p>
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</p><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p>
$135,040 - $202,560<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div>

Sr Staff Data Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.</p><div><p>
As the Senior Lead Software Engineer at JPMorgan Chase within Consumer and Community Banking's Technology team, you will play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable way.</p><p><b>
Job responsibilities</b>
</p><ul><li>Lead an application development team in delivering modern technology solutions.</li><li>
Oversee overall planning, execution, and success of complex software solutions to meet customer needs.</li><li>
Drive the development of innovative solutions that advance business objectives and enhance team performance.</li><li>
Keep team members and key stakeholders informed about the progress of development projects.</li><li>
Foster a culture of continuous improvement, mentoring, and coaching among team members.</li><li>
Ensure adherence to Agile frameworks and best practices in software development.</li></ul><p><b>
Required qualifications, capabilities, and skills</b>
</p><ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Experience with <b>JAVA</b>, including hands-on experience with <b>Spring Boot</b> and reactive<b> JAVA </b>programming.</li><li>
Experience with public cloud platforms, including deployment, scaling, and management of cloud resources.
</li><li>Hands-on experience with <b>Terraform</b> for Infrastructure as Code (IaaS) to provision and manage <b>AWS</b> resources.</li><li>
Experience with database skills, including schema design, query optimization, and experience with both SQL and NoSQL databases.</li><li>
Experience with distributed streaming platform such as <b>Kafka</b>.</li><li>
Experience with version control tools (GIT, Bitbucket)</li><li>
Experience in <b>DevOps practices</b> including build, deployment, integration, and code management using tools such as <b>Jenkins</b> and <b>Maven</b>.</li><li>
Experience in testing frameworks such as<b> Junit, JMeter</b>, and <b>Cucumber</b>.</li><li>
Demonstrated leadership in <b>managing scrum teams</b>, including sprint planning, backlog grooming, and daily stand-ups.</li><li>
Ability to <b>mentor team members</b>, resolve technical issues, and remove blockers to ensure project delivery.</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience with frontend technologies like <b>REACT JS</b>, with a track record of building sophisticated, web-based user interfaces.
</li><li>Understanding of web technologies, <b>UI/UX principles</b>, and integration of <b>frontend with backend services</b>.</li></ul></div>
<b>ABOUT US</b><p><br>
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><p></p><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p><p></p><p>
Equal Opportunity Employer/Disability/Veterans</p><br>
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<b>ABOUT THE TEAM</b><br>
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Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Senior Lead Software Engineer - Java

Wolters Kluwer

<div><div><b>Senior Data Scientist / Senior Software Engineer</b></div><div></div><div><b>
About the Role</b></div><div>
This role blends <b>advanced data science</b> with <b>senior-level software engineering</b> to deliver intelligent, data-driven software solutions. As a <b>Senior Data Scientist / Senior Software Engineer</b>, you will design and build production-grade systems while applying statistical modeling, machine learning, and analytics to solve complex business problems.</div><div>
You&rsquo;ll work across <b>Python-based data science workflows</b> and <b>C#/.NET-based enterprise systems on Azure</b>, partnering closely with product, engineering, and business stakeholders. This role is ideal for someone who enjoys both hands-on engineering and deriving insights from data to influence product behavior and decision-making.</div><div></div><div><b>
Key Responsibilities</b></div><div><b>
Data Science &amp; Advanced Analytics</b></div><ul><li>
Design and execute experiments and A/B tests to evaluate product and business hypotheses.</li><li>
Develop, validate, and tune machine learning and predictive models.</li><li>
Perform exploratory and root cause analysis to uncover trends, anomalies, and key drivers.</li><li>
Lead feature engineering efforts to improve model performance and interpretability.</li><li>
Apply statistical and mathematical techniques to real-world, applied problems.</li><li>
Build clear and effective visualizations and analytical summaries for stakeholders.</li><li>
Ensure data quality, integrity, and consistency across multiple sources.</li></ul><div><b>
Software Engineering &amp; System Implementation</b></div><ul><li>
Design and implement services and applications that integrate data science outputs into production systems.</li><li>
Build and maintain <b>C#/.NET (ASP.NET Core)</b> APIs and backend components on <b>Microsoft Azure</b>.</li><li>
Develop data pipelines and processing logic supporting analytical and operational use cases.</li><li>
Collaborate with frontend engineers to enable data-driven experiences.</li><li>
Optimize application and data pipeline performance, reliability, and scalability.</li></ul><div><b>
Data Platforms &amp; Integration</b></div><ul><li>
Prepare, preprocess, and optimize data for analysis and modeling using <b>Python</b>.</li><li>
Design and query <b>SQL Server / Azure SQL</b> databases for analytical and transactional workloads.</li><li>
Ensure efficient interaction between analytical models and software systems.</li><li>
Support model deployment, monitoring, and validation in production environments.</li></ul><div><b>
Quality, Testing &amp; Responsible AI</b></div><ul><li>
Contribute to testing strategies for data pipelines, models, and software components.</li><li>
Participate in peer reviews of code, models, and analytical approaches.</li><li>
Evaluate AI and data tooling thoughtfully and responsibly.</li><li>
Apply validation and governance practices to AI-assisted code and model outputs.</li></ul><div><b>
Collaboration &amp; Mentorship</b></div><ul><li>
Communicate analytical findings and technical solutions clearly to technical and non-technical audiences.</li><li>
Collaborate closely with product, engineering, and business partners.</li><li>
Mentor junior data scientists and engineers through knowledge sharing and feedback.</li><li>
Participate in Agile planning, estimation, and delivery activities.</li></ul><div></div><div><b>
Core Skills &amp; Qualifications</b></div><div><b>
Programming &amp; Engineering</b></div><ul><li>
Strong proficiency in <b>C#/.NET</b> for enterprise software development.</li><li>
Strong proficiency in <b>Python</b> for data analysis, modeling, and data pipelines.</li><li>
Familiarity with <b>R, Java, or C++</b> is a plus.</li><li>
Solid understanding of software engineering fundamentals and system design.</li></ul><div><b>
Data &amp; Analytics</b></div><ul><li>
Advanced data analysis and problem-solving skills.</li><li>
Hands-on experience with machine learning algorithms and predictive modeling.</li><li>
Experience applying analytics to influence product or business outcomes.</li><li>
Expertise in feature engineering, model tuning, and validation.</li><li>
Proficiency with data visualization tools (e.g., Tableau, Power BI, Matplotlib).</li></ul><div><b>
Databases &amp; Platforms</b></div><ul><li>
Strong SQL skills and relational data modeling experience.</li><li>
Experience working with cloud platforms, preferably <b>Microsoft Azure</b>.</li><li>
Familiarity with NoSQL or large-scale data systems is a plus.</li></ul><div><b>
Development Practices</b></div><ul><li>
Experience working in Agile environments.</li><li>
Strong testing, documentation, and collaboration practices.</li><li>
Ability to balance analytical depth with production-quality engineering.</li></ul><div></div><div><b>
Core Competencies</b></div><ul><li>
Analytical Skills</li><li>
Inclusive Collaboration</li><li>
Drive to Perform</li><li>
Accountability</li><li>
Functional Expertise</li><li>
Operational Expertise</li></ul><div></div><h2 class="jobSectionHeader"><b>
Our Interview Practices</b></h2><div></div><div><i>
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we&rsquo;re getting to know you&mdash;not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.</i></div><div></div><div><i>
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.</i></div><div></div><div><b><br>
Compensation:</b></div>
$102,000.00 - $178,050.00 USD<br>
<div></div>
This role is eligible for Bonus.<div></div><div><i>
Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.</i></div><div></div><h2 class="jobSectionHeader"><b>
Additional Information</b><b>:</b></h2><div></div><div>
Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, &amp; Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.</div></div>

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