senior data engineer

lead data scientist

data analyst

data engineer

ai engineer

cloud data 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>
<div>
<div><div><p>As a Data Engineer, you will design, build, and optimize modern data platforms using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. You combine deep technical expertise with strong consulting skills to engage clients, understand their business needs, and translate requirements into scalable solutions. You contribute to solution architecture and deliver high-quality data solutions that drive measurable business value. You are comfortable discussing technical details with engineers, facilitating design sessions with clients, and presenting recommendations to leadership.</p>
</div>
</div></div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><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>
</ul><h3 class="jobSectionHeader"><b>Minimum Requirements</b></h3><div>
<ul><li>Bachelor&rsquo;s degree in computer science or related field</li>
<li>4 years of experience in data engineering, data platform development, or cloud data solutions</li>
<li>2 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>Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing</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>Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment</li>
<li>Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements</li>
<li>Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft</li>
</ul><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>
<div></div>
<div>The base compensation range for this full-time position is between $120,000-$150,000 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>
<div></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>
<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>

Data Engineer

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

<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>
<div></div>
<div><br>
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>
<div>
<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>
<div></div>
</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>
</div>
<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

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:
<br>
<br>
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.
<br>
<br>
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.
<br>
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.
<br>
Together, we help health plans scale smarter, grow stronger, and make healthcare work better for the people who need it most.
<br>
<br>
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.
<br>
<br>
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.
<br>
<br>
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>

Skidmore, Owings & Merrill (SOM)

<div>
 At SOM, we are a collective committed to shaping a better future for our clients, communities and planet. We aspire to create the most sustainable, impactful work through creative, interdisciplinary teams with all the resources and diversity of a global firm. We value those who are passionate about excellence, innovation, integrity, inclusivity, and collaboration. Together we can achieve great things.
 <br/>
 <br/>
 <strong>
  Success at SOM Means
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ideas: We believe in a meritocracy of ideas. We look to everyone to actively contribute to the discourse in the firm.
  </li>
  <li>
   Knowledge: We believe that expertise is the result of lifelong learning. We are not expected to know everything, but rather to passionately pursue answers, develop new skills and deepen our knowledge.
  </li>
  <li>
   Product: We strive for excellence in the concept, quality, and delivery of our work.
  </li>
  <li>
   Individual: We value individuals who bring the highest standards of professionalism and personal integrity in the way they work. Each person can develop and contribute their wealth of attributes, skills and knowledge to support the overall health of the firm.
  </li>
  <li>
   Team: We value the power of interdisciplinary integration. A positive team culture in which everyone collaborates openly towards common goals is essential.
  </li>
  <li>
   Firm: We have a history of making transformative contributions to the profession and our communities. We are constantly innovating and attempting to bring new approaches, solutions and processes to our work.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Position Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Investigates and responds to data pipeline incidents, including ingestion failures, data quality alerts, and schema drift issues.
  </li>
  <li>
   Assesses and remediates data misconfigurations and unauthorized access across cloud data services and storage platforms.
  </li>
  <li>
   Deploys, manages, and maintains data-specific infrastructure such as Snowflake warehouses, Databricks clusters, and logging pipelines.
  </li>
  <li>
   Designs and maintains automation scripts and infrastructure-as-code to support data operations (e.g., Terraform, Git, Python, SQL, Lambda).
  </li>
  <li>
   Translates written data governance policies and standards into technical controls; ensures enforcement and flags any violations or exceptions.
  </li>
  <li>
   Implements and audits IAM controls across cloud platforms (AWS), SaaS tools (Salesforce, Workday), and enterprise data systems.
  </li>
  <li>
   Maintains secure API integrations and data encryption practices for movement between AEC design tools and the Data Lakehouse.
  </li>
  <li>
   Monitors alerting systems, tunes false positives in data quality checks, and investigates anomalous data behavior using logs.
  </li>
  <li>
   Maintains operational and procedural documentation, including data lineage diagrams, runbooks, and ETL tool configurations.
  </li>
  <li>
   Supports post-incident activities, including root cause review of data loss or corruption and implementation of corrective actions.
  </li>
  <li>
   Coordinates with infrastructure and engineering teams to ensure secure configuration standards are applied across data services.
  </li>
  <li>
   Assists in collecting audit and compliance evidence related to data privacy and security controls.
  </li>
  <li>
   Contributes to team knowledge sharing and helps mentor junior staff on modern data engineering practices.
  </li>
  <li>
   Keeps current with data threats, engineering frameworks (Lakehouse), and tool capabilities.
  </li>
  <li>
   Collaborates with leadership to support strategic AI initiatives and continuous improvement projects.
  </li>
  <li>
   Contributes to defining the technical scope of projects and identifying risks in data system design or operations.
  </li>
  <li>
   Promotes a "data-first" mindset among peers and across technical teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Leadership Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Inspires and leads others by example, participates in staff mentoring and training, clearly defines team member expectations and responsibilities, empowers others, and delegates where appropriate based on team members&rsquo; recognized abilities and potential.
  </li>
  <li>
   Directly supervises staff and is committed to direct reports&rsquo; professional development.
  </li>
  <li>
   Develops and engages in talent strategy to find specialists, leaders, and future professionals for the firm through resume review and interviews.
  </li>
  <li>
   In collaboration with team members, develops a clear and consistent work plan to achieve the project budget, deliverables, and schedule.
  </li>
  <li>
   Actively engages in internal and external professional development opportunities.
  </li>
  <li>
   Contributes to the implementation of sustainable strategies in all project assignments and the associated development of staff knowledge.
  </li>
  <li>
   Contributes to the development of standards, policies, and procedures.
  </li>
  <li>
   Protects SOM from financial and legal risk.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Seven or more years of experience in a data engineering, cloud data, or DevSecOps-focused role.
  </li>
  <li>
   Hands-on experience with cloud data platforms (Databricks or Snowflake &amp; AWS) and IAM design for data access.
  </li>
  <li>
   Proficient in infrastructure-as-code and scripting tools: Terraform, Git, Python, and SQL.
  </li>
  <li>
   Familiarity with enterprise systems such as Salesforce, Workday, Nasuni/Panzura, and the Google Workspace or Microsoft Office suites.
  </li>
  <li>
   Comfortable administering and analyzing data systems across Windows, macOS, and Linux environments.
  </li>
  <li>
   Skilled in technical documentation and standard operating procedure development for complex data workflows.
  </li>
  <li>
   Clear and direct communicator, able to collaborate across technical and non-technical design teams.
  </li>
  <li>
   Demonstrated knowledge of Architecture, Engineering, and Construction Industry data formats (Revit, Rhino, etc.), data modeling, and common pipeline bottlenecks.
   <br/>
   <br/>
  </li>
 </ul>
 Are you ready to join a team of creative professionals working on transformational projects around the world? Take advantage of this exciting opportunity to build a better future with SOM.
 <br/>
 <br/>
 <strong>
  Our Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  Health and Wellness:
 </strong>
 Medical, dental, vision, disability, and life &amp; accident insurance
 <br/>
 <br/>
 <strong>
  Savings:
 </strong>
 401K matching, pre-tax spending accounts, and employee discount programs
 <br/>
 <br/>
 <strong>
  Work/Life Balance:
 </strong>
 Inquire about our approach to flexible schedules, paid family leave, paid vacation, backup child and elder care, and an employee assistance program
 <br/>
 <br/>
 <strong>
  Professional Development:
 </strong>
 Reimbursement for professional licenses, associated renewals, and exam fees as well as specialized in-house career development
 <br/>
 <br/>
 Compensation for this role is based upon experience, qualifications, location, and education and typically ranges from $160,000 to $180,000.
 <br/>
 <br/>
 <strong>
  Our Culture
  <br/>
  <br/>
 </strong>
 Our creative, interdisciplinary teams work like small, dynamic studios, with all the resources and diversity of a global firm. Here, you&rsquo;ll collaborate with industry experts on some of the most exciting and transformative architecture, engineering, and planning projects in the world.
 <br/>
 <br/>
 We believe an inclusive environment improves our teams, our firm, and our communities and are passionate about Diversity, Equity, and Inclusion. Our DEI Action Plan was created to bring meaningful change to our profession, starting with our own culture and practices.
 <br/>
 <br/>
 We are proud to be an equal opportunity and affirmative action employer. Visit this page to learn more about SOM's employment policy as well as additional information such as a privacy notice for California residents and how to apply offline.
 <br/>
 <br/>
 For more about SOM: www.som.com
</div>


<div><h2 class="jobSectionHeader"><b>Description</b></h2>
<div>
<p>Our Health and Benefits business helps large and mid-size clients control health and welfare plan costs, improve health outcomes and promote employee engagement through broad-based, state-of-the-art interventions. We provide solutions encompassing creative plan design, vendor evaluation and management, pricing and funding strategies, data analytics, valuation support, legal compliance and governance strategies. We also provide specialty consulting services including clinical/health management program design, pharmacy solutions, disability/absence management strategies and claims audit services. Product-based solutions such as our pharmacy purchasing coalition round out our broad-based suite of offerings.</p><br>
<p></p>
<p><i>
About the role</i></p><br>
<p></p>
<p>
The Principal Data Engineer is a senior, hands‑on technical leader responsible for designing, building, and evolving scalable, reliable, and cost‑efficient data and analytic platforms that power analytics, reporting, and advanced AI/predictive use cases. This role sets engineering standards, drives platform modernization, and mentors engineering teams while partnering closely with architecture, analytics, product, and governance stakeholders.</p><br>
<p></p>
<p><b>
Technical Leadership &amp; Architecture</b></p>
<ul>
<li><p>Lead the design and evolution of enterprise‑scale data platforms, including ingestion, transformation, storage, and consumption layers</p></li>
<li><p>
Define and enforce data engineering standards, patterns, and best practices (e.g., pipeline design, testing, CI/CD, observability)</p></li>
<li><p>
Serve as a technical authority on data architecture decisions, trade‑offs, and platform strategy</p></li>
</ul>
<p><b>Platform &amp; Pipeline Engineering</b></p>
<ul>
<li><p>Design, build, and optimize high‑performance batch and streaming data pipelines</p></li>
<li><p>
Improve reliability, performance, scalability, and cost efficiency of existing data assets</p></li>
<li><p>
Implement reusable frameworks and reference architectures to accelerate delivery across teams</p></li>
</ul>
<p><b>Databricks &amp; Lakehouse Focus (Strongly Preferred)</b></p>
<ul>
<li>Design and operate Databricks‑based lakehouse solutions using Delta Lake, Spark, and notebooks/jobs</li>
<li>Establish best practices for Databricks workspace architecture, security, performance tuning, and cost management</li>
<li>Lead or support migrations to Databricks and modernization of legacy data pipelines</li>
</ul>
<p><b>Data Quality, Governance &amp; Security</b></p>
<ul>
<li>Partner with data governance and security teams to embed data quality checks, metadata, lineage, and access controls into pipelines</li>
<li>Ensure platforms support regulatory, compliance, and enterprise risk requirements</li>
</ul>
<p><b>Cross‑Functional Collaboration</b></p>
<ul>
<li>Work closely with data architects, analytic engineers, data scientists, product owners, and business stakeholders</li>
<li>Translate business and analytic requirements into scalable technical solutions</li>
<li>Influence roadmaps by tying platform investments to measurable business outcomes</li>
</ul>
<p><b>Mentorship &amp; Engineering Excellence</b></p>
<ul>
<li>Mentor senior and mid‑level engineers; raise the overall technical bar of the team</li>
<li>Lead by example through hands‑on contribution to critical pipelines and platform components</li>
</ul></div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
<div>
<p><b>The Requirements</b></p>
<ul>
<li>University or college degree in Computer Science, Information Systems, Mathematics, Engineering, Statistics, or related field of study.</li>
<li>8+ years of experience in data engineering or platform engineering roles</li>
<li>Deep expertise in building large‑scale data pipelines and platforms in cloud environments (Azure, AWS, or GCP)</li>
<li>Strong proficiency with distributed data processing (e.g., Spark)</li>
<li>Advanced SQL and strong Python programming skills</li>
<li>Experience designing data models and architectures for analytics and downstream consumption</li>
<li>Experience in data ingestion tools such as Matillion, FiveTran, Airbyte, etc. a plus</li>
<li>Strong analytical skills and experience with data modeling</li>
<li>Strong project management and organizational skills</li>
<li>Proven ability to work independently and with a team</li>
<li>Extensive hands‑on experience with Databricks and Lakehouse architecture strongly preferred</li>
<li>Experience with Delta Lake, Spark optimization, and cost/performance tuning strongly preferred</li>
<li>Experience supporting advanced analytics, machine learning, or AI‑driven use cases</li>
<li>Familiarity with modern data tooling (e.g., orchestration, data quality frameworks, metadata/catalog tools)</li>
<li>Prior experience setting engineering standards or leading platform modernization initiatives</li></ul><br>
<p></p>
<p><b>
Technical Competencies</b></p>
<p><b>
Subject Matter Expertise</b></p><br>
<p></p>
<ul>
<li>Developing expertise<ul>
<li>You strengthen your depth and/or breadth of subject matter knowledge and skills across multiple areas.</li>
<li>You define the expertise required in your area based on emerging technologies, industry practices. You build the team&rsquo;s capability accordingly.</li>
</ul></li><li>Applying expertise<ul><li>
<p>
You apply subject matter knowledge and skills across multiple areas to assess the impact of complex issues and implement long-term solutions. You foster innovation using subject matter knowledge to enhance tools, practices, and processes for the team.</p><br>
<p></p>
</li></ul>
</li></ul><p><b>Solution Development</b></p>
<ul>
<li>Systems thinking<ul>
<li>You lead and foster collaboration across H&amp;B Data Platform Technology to develop solutions to complex issues.</li>
<li>You apply a whole systems approach to evaluating impact, and take ownership for ensuring links between structure, people and processes are made.</li>
</ul></li><li>Focusing on quality<ul><li>
<p>
You instill a quality mindset to the team and ensure the appropriate methods, processes and standards are in place for teams to deliver quality solutions. You create and deliver improvement initiatives.</p><br>
<p></p>
</li></ul>
</li></ul><p><b>Technical Communication</b></p>
<ul>
<li>Simplifying complexity<ul><li>
You develop tools, aids and/or original content to support the delivery and/or understanding of complex information. You guide others on best practice.</li></ul>
</li><li>Influencing stakeholders<ul><li><p>
You are adaptive across a range of situations, effectively tailoring your delivery methods based on your knowledge of stakeholders to have maximum impact and influence.</p></li></ul>
</li>
</ul><p>This position will remain posted for a minimum of three business days from the date posted or until sufficient/appropriate candidate slate has been identified.</p><br>
<p></p>
<p><b>
Compensation and Benefits</b></p><br>
<p></p>
<p>
Benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only).</p><br>
<p></p>
<p><b>
Compensation</b></p>
<p>
The base salary compensation range being offered for this role is $180,000.00-$225,000.00 USD annually.</p>
<p>
This role is also eligible for an annual short-term incentive bonus.</p><br>
<p></p>
<p><b>
Company Benefits</b></p>
<p>
WTW provides a competitive benefit package which includes the following (eligibility requirements apply):</p>
<ul>
<li><p><b>Health and Welfare Benefits</b>: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&amp;D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)</p></li>
<li><p><b>
Leave Benefits:</b> Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off</p></li>
<li><p><b>
Retirement Benefits:</b> Contributory Pension Plan and Savings Plan (401k). All Level 38 and more senior roles may also be eligible for non-qualified Deferred Compensation and Deferred Savings Plans.</p></li></ul><br>
<p></p>
<p>
Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records.</p><br>
<p></p>
<p><b>
EOE, including disability/vets</b></p></div></div>

Principal Data Engineer - H&B Data & Analytics Platform

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>AI Engineer</div><br>
<div><br>
</div><div>Must Have Technical/Functional Skills
</div><ul><li> 4&ndash;8+ years of experience in software engineering, ML engineering, or AI solution development
</li></ul><ul><li> Strong proficiency in Java and experience
</li></ul><ul><li> Hands on experience with Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents
</li></ul><ul><li> Solid understanding of data engineering concepts, SQL/NoSQL, and feature pipelines
</li></ul><ul><li> Experience deploying AI solutions on cloud platforms (GCP preferred; AWS/ Azure acceptable)
</li></ul><ul><li> Familiarity with Docker, Kubernetes, and CI/CD pipelines
</li></ul><ul><li> Strong problem solving, communication, and stakeholder collaboration skills</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><div>We are seeking a highly skilled Java + AI Engineer to design, build, and deploy scalable AI and Generative AI solutions that solve real business problems. The role bridges data science, software engineering, and cloud platforms to operationalize machine learning, LLM based applications, and intelligent automation across the enterprise.
</div><div>________________________________________
</div><div>Key Responsibilities
</div><ul><li> Design, develop, and deploy AI/ML and Generative AI solutions including LLM based applications, RAG pipelines, agents, and predictive models
</li></ul><ul><li> Translate business use cases into production ready AI solutions with measurable outcomes
</li></ul><ul><li> Deep knowledge in Java streams technology
</li></ul><ul><li> Implement LLM orchestration, prompt engineering, vector search, embeddings, and model fine tuning
</li></ul><ul><li> Develop scalable APIs and microservices to integrate AI capabilities into enterprise applications
</li></ul><ul><li> Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams across onshore offshore models
</li></ul><ul><li> Implement MLOps / LLMOps practices including CI/CD, monitoring, versioning, model governance, and observability
</li></ul><ul><li> Ensure Responsible AI, security, compliance, and data privacy by design
</li></ul><ul><li> Support production deployments, performance tuning, and continuous improvement of AI systems</li></ul><br>
<div><br>
</div><div>Salary Range- $100,000-$120,000 a year
</div><div>#LI-OJ1
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Chicago, IL</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404939</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$120,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

AI Engineer

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