Senior data scientist jobs in Howell, NJ

Please apply here: ************************************************************************************* Senior Data Scientist, Agentic AI This is a potential contract to hire role. About the Role: Our client is transforming into a modern, data-driven insurance company. As part of this journey, we're looking for a Senior Data Scientist to help build and scale advanced Agentic AI and LLM-based solutions that automate workflows, improve decision-making, and enhance customer experience. You'll work closely with senior leaders and cross-functional teams to design AI systems that drive measurable business impact. This is a high-visibility role within company's Data Science Lab (DSL) - a hub for innovation, rapid testing, and operationalizing AI solutions across the enterprise. What You'll Do Design and deploy Agentic AI solutions to automate complex business processes. Operationalize LLMs and Generative AI for unstructured data (contracts, claims, medical records, customer interactions). Build intelligent agents and reasoning systems that integrate with core business platforms. Partner with data engineering and AIOps teams to scale AI models from prototype to production. Translate AI research into real-world solutions for underwriting, claims, customer service, and risk assessment. Define use cases, measure ROI, and collaborate with business stakeholders. Mentor junior data scientists and help standardize AI/ML frameworks across the organization. What You Bring PhD + 2 years OR Master's + 4 years of relevant AI/ML experience. 3+ years of hands-on experience in AI model development. Strong foundation in probability, statistics, and machine learning. Proficiency in Python, PyTorch, TensorFlow, and LangGraph. Proven experience deploying scalable AI solutions. Excellent communication skills and ability to work cross-functionally with Product, Engineering, and Business teams. Leadership experience in mentoring and guiding data scientists.

Data Scientist - Pharmaceutical Analytics (PhD) 1 year Contract - Hybrid- Plainfield, NJ We're looking for a PhD-level Data Scientist with experience in the pharmaceutical industry and expertise working with commercial data sets (IQVIA, claims, prescription data). This role will drive insights that shape drug launches, market access, and patient outcomes. What You'll Do Apply machine learning & advanced analytics to pharma commercial data Deliver insights on market dynamics, physician prescribing, and patient behavior Partner with R&D, medical affairs, and commercial teams to guide strategy Build predictive models for sales effectiveness, adherence, and market forecasting What We're Looking For PhD in Data Science, Statistics, Computer Science, Bioinformatics, or related field 5+ years of pharma or healthcare analytics experience Strong skills in enterprise-class software stacks and cloud computing Deep knowledge of pharma market dynamics & healthcare systems Excellent communication skills to translate data into strategy

Join a Global Leader in Workforce Solutions - Net2Source Inc. Who We Are Net2Source Inc. isn't just another staffing company - we're a powerhouse of innovation, connecting top talent with the right opportunities. Recognized for 300% growth in the past three years, we operate in 34 countries with a global team of 5,500+. Our mission? To bridge the talent gap with precision- Right Talent. Right Time. Right Place. Right Price. Title: Statistical Scientist Duration: 12 Months (Start Date: First Week of January) Location: Rahway, NJ (Onsite/Hybrid Only) Rate: $65/hr on W2 Position Summary We are seeking an experienced Statistical Scientist to support analytical method qualification, validation, and experimental design for Client's scientific and regulatory programs. The successful candidate will work closely with scientists to develop statistically sound protocols, contribute to method robustness and validation studies, and prepare reporting documentation for regulatory readiness. This position requires deep expertise in statistical methodologies and hands-on programming skills in SAS, R, and JMP. Key Responsibilities • Collaborate with scientists to design experiments, develop study protocols, and establish acceptance criteria for analytical applications. • Support analytical method qualification and validation through statistical protocol development, analysis, and reporting. • Write memos and technical reports summarizing statistical analyses for internal and regulatory audiences. • Assist scientists in assessing protocol deviations and resolving investigation-related issues. • Coordinate with the Quality Audit group to finalize statistical reports for BLA (Biologics License Application) readiness. • Apply statistical modeling approaches to evaluate assay robustness and method reliability. • Support data integrity and ensure compliance with internal processes and regulatory expectations. Qualifications Education (Required): • Ph.D. in Statistics, Biostatistics, Applied Statistics, or related discipline with 3+ years of relevant experience, or • M.S. in Statistics/Applied Statistics with 6+ years of relevant experience. (BS/BA candidates will not be considered.) Required Skills: • Proficiency in SAS, R, and JMP. • Demonstrated experience in analytical method qualification and validation, including protocol writing and statistical execution. • Strong background in experimental design for analytical applications. • Ability to interpret and communicate statistical results clearly in both written and verbal formats. Preferred / Nice-to-Have: • Experience with mixed-effect modeling. • Experience with Bayesian analysis. • Proven ability to write statistical software/code to automate routine analyses. • Experience presenting complex statistical concepts to leadership. • Experience in predictive stability analysis. Why Work With Us? At Net2Source, we believe in more than just jobs - we build careers. We champion leadership at all levels, celebrate diverse perspectives, and empower our people to make an impact. Enjoy a collaborative environment where your ideas matter, and your professional growth is our priority. Our Commitment to Inclusion & Equity Net2Source is an equal opportunity employer dedicated to fostering a workplace where diverse talents and perspectives are valued. We make all employment decisions based on merit, ensuring a culture of respect, fairness, and opportunity for all. Awards & Recognition • America's Most Honored Businesses (Top 10%) • Fastest-Growing Staffing Firm by Staffing Industry Analysts • INC 5000 List for Eight Consecutive Years • Top 100 by Dallas Business Journal • Spirit of Alliance Award by Agile1 Ready to Level Up Your Career? Click Apply Now and let's make it happen.

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ******************* Job Title: Principal Data Modeler / Data Architecture Lead - Capital Markets Work Location Jersey City, NJ (Onsite, 5 days / week) Job Description: We are seeking a highly experienced Principal Data Modeler / Data Architecture Lead to reverse engineer an existing logical data model supporting all major lines of business in the capital markets domain. The ideal candidate will have deep capital markets domain expertise and will work closely with business and technology stakeholders to elicit and document requirements, map those requirements to the data model, and drive enhancements or rationalization of the logical model prior to its conversion to a physical data model. A software development background is not required. Key Responsibilities Reverse engineers the current logical data model, analyzing entities, relationships, and subject areas across capital markets (including customer, account, portfolio, instruments, trades, settlement, funds, reporting, and analytics). Engage with stakeholders (business, operations, risk, finance, compliance, technology) to capture and document business and functional requirements, and map these to the data model. Enhance or streamline the logical data model, ensuring it is fit-for-purpose, scalable, and aligned with business needs before conversion to a physical model. Lead the logical-to-physical data model transformation, including schema design, indexing, and optimization for performance and data quality. Perform advanced data analysis using SQL or other data analysis tools to validate model assumptions, support business decisions, and ensure data integrity. Document all aspects of the data model, including entity and attribute definitions, ERDs, source-to-target mappings, and data lineage. Mentor and guide junior data modelers, providing coaching, peer reviews, and best practices for modeling and documentation. Champion a detail-oriented and documentation-first culture within the data modeling team. Qualifications Minimum 15 years of experience in data modeling, data architecture, or related roles within capital markets or financial services. Strong domain expertise in capital markets (e.g., trading, settlement, reference data, funds, private investments, reporting, analytics). Proven expertise in reverse engineering complex logical data models and translating business requirements into robust data architectures. Strong skills in data analysis using SQL and/or other data analysis tools. Demonstrated ability to engage with stakeholders, elicit requirements, and produce high-quality documentation. Experience in enhancing, rationalizing, and optimizing logical data models prior to physical implementation. Ability to mentor and lead junior team members in data modeling best practices. Passion for detail, documentation, and continuous improvement. Software development background is not required. Preferred Skills Experience with data modeling tools (e.g., ER/Studio, ERwin, Power Designer). Familiarity with capital markets, business processes and data flows. Knowledge of regulatory and compliance requirements in financial data management. Exposure to modern data platforms (e.g., Snowflake, Databricks, cloud databases). Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, colour, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

About the Company Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis' Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis' Service Transformation approach helps ‘shrink the core' through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis' core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients. About the Role Senior Level Data Architect with data analytics experience, Databricks, Pyspark, Python, ETL tools like Informatica. This is a key role that requires senior/lead with great communication skills who is very proactive with risk & issue management. Responsibilities Hands-on data analytics experience with Databricks on AWS, Pyspark and Python. Must have prior experience with migrating a data asset to the cloud using a GenAI automation option. Experience in migrating data from on-premises to AWS. Expertise in developing data models, delivering data-driven insights for business solutions. Experience in pretraining, fine-tuning, augmenting and optimizing large language models (LLMs). Experience in Designing and implementing database solutions, developing PySpark applications to extract, transform, and aggregate data, generating insights. Data Collection & Integration: Identify, gather, and consolidate data from diverse sources, including internal databases and spreadsheets ensuring data integrity and relevance. Data Cleaning & Transformation: Apply thorough data quality checks, cleaning processes, and transformations using Python (Pandas) and SQL to prepare datasets. Automation & Scalability: Develop and maintain scripts that automate repetitive data preparation tasks. Autonomy & Proactivity: Operate with minimal supervision, demonstrating initiative in problem-solving, prioritizing tasks, and continuously improving the quality and impact of your work. Qualifications 15+ years of experience as Data Analyst / Data Engineer with Databricks on AWS expertise in designing and implementing scalable, secure, and cost-efficient data solutions on AWS. Required Skills Strong proficiency in Python (Pandas, Scikit-learn, Matplotlib) and SQL, with experience working across various data formats and sources. Proven ability to automate data workflows, implement code-based best practices, and maintain documentation to ensure reproducibility and scalability. Preferred Skills Ability to manage in tight circumstances, very pro-active with risk & issue management. Requirement Clarification & Communication: Interact directly with colleagues to clarify objectives, challenge assumptions. Documentation & Best Practices: Maintain clear, concise documentation of data workflows, coding standards, and analytical methodologies to support knowledge transfer and scalability. Collaboration & Stakeholder Engagement: Work closely with colleagues who provide data, raising questions about data validity, sharing insights, and co-creating solutions that address evolving needs. Excellent communication skills for engaging with colleagues, clarifying requirements, and conveying analytical results in a meaningful, non-technical manner. Demonstrated critical thinking skills, including the willingness to question assumptions, evaluate data quality, and recommend alternative approaches when necessary. A self-directed, resourceful problem-solver who collaborates well with others while confidently managing tasks and priorities independently.

Godel Terminal is a cutting edge financial platform that puts the world's financial data at your fingertips. From Equities and SEC filings, to global news delivered in milliseconds, thousands of customers rely on Godel every day to be their guide to the world of finance. We are looking for a senior engineer in New York City to join our team and help build out live data services as well as historical data for US markets and international exchanges. This position will specifically work on new asset classes and exchanges, but will be expected to contribute to the core architecture as we expand to international markets. Our team works quickly and efficiently, we are opinionated but flexible when it's time to ship. We know what needs to be done, and how to do it. We are laser focused on not just giving our customers what they want, but exceeding their expectations. We are very proud that when someone opens the app the first time they ask: “How on earth does this work so fast”. If that sounds like a team you want to be part of, here is what we need from you: Minimum qualifications: Able to work out of our Manhattan office minimum 4 days a week 5+ years of experience in a financial or startup environment 5+ years of experience working on live data as well as historical data 3+ years of experience in Java, Python, and SQL Experience managing multiple production ETL pipelines that reliably store and validate financial data Experience launching, scaling, and improving backend services in cloud environments Experience migrating critical data across different databases Experience owning and improving critical data infrastructure Experience teaching best practices to junior developers Preferred qualifications: 5+ years of experience in a fintech startup 5+ years of experience in Java, Kafka, Python, PostgreSQL 5+ years of experience working with Websockets like RXStomp or Socket.io 5+ years of experience wrangling cloud providers like AWS, Azure, GCP, or Linode 2+ years of experience shipping and optimizing Rust applications Demonstrated experience keeping critical systems online Demonstrated creativity and resourcefulness under pressure Experience with corporate debt / bonds and commodities data Salary range begins at $150,000 and increases with experience Benefits: Health Insurance, Vision, Dental To try the product, go to *************************

DL Software produces Godel, a financial information and trading terminal. Role Description This is a full-time, on-site role based in New York, NY, for a Data Engineer. The Data Engineer will design, build, and maintain scalable data systems and pipelines. Responsibilities include data modeling, developing and managing ETL workflows, optimizing data storage solutions, and supporting data warehousing initiatives. The role also involves collaborating with cross-functional teams to improve data accessibility and analytics capabilities. Qualifications Strong proficiency in Data Engineering and Data Modeling Mandatory: strong experience in global financial instruments including equities, fixed income, options and exotic asset classes Strong Python background Expertise in Extract, Transform, Load (ETL) processes and tools Experience in designing, managing, and optimizing Data Warehousing solutions

Client: manufacturing company Type: direct hire Our client is a publicly traded, globally recognized technology and manufacturing organization that relies on data-driven insights to support operational excellence, strategic decision-making, and digital transformation. They are seeking a Power BI Developer to design, develop, and maintain enterprise reporting solutions, data pipelines, and data warehousing assets. This role works closely with internal stakeholders across departments to ensure reporting accuracy, data availability, and the long-term success of the company's business intelligence initiatives. The position also plays a key role in shaping BI strategy and fostering collaboration across cross-functional teams. This role is on-site five days per week in Somerset, NJ. Key Responsibilities Power BI Reporting & Administration Lead the design, development, and deployment of Power BI and SSRS reports, dashboards, and analytics assets Collaborate with business stakeholders to gather requirements and translate needs into scalable technical solutions Develop and maintain data models to ensure accuracy, consistency, and reliability Serve as the Power BI tenant administrator, partnering with security teams to maintain data protection and regulatory compliance Optimize Power BI solutions for performance, scalability, and ease of use ETL & Data Warehousing Design and maintain data warehouse structures, including schema and database layouts Develop and support ETL processes to ensure timely and accurate data ingestion Integrate data from multiple systems while ensuring quality, consistency, and completeness Work closely with database administrators to optimize data warehouse performance Troubleshoot data pipelines, ETL jobs, and warehouse-related issues as needed Training & Documentation Create and maintain technical documentation, including specifications, mappings, models, and architectural designs Document data warehouse processes for reference, troubleshooting, and ongoing maintenance Manage data definitions, lineage documentation, and data cataloging for all enterprise data models Project Management Oversee Power BI and reporting projects, offering technical guidance to the Business Intelligence team Collaborate with key business stakeholders to ensure departmental reporting needs are met Record meeting notes in Confluence and document project updates in Jira Data Governance Implement and enforce data governance policies to ensure data quality, compliance, and security Monitor report usage metrics and follow up with end users as needed to optimize adoption and effectiveness Routine IT Functions Resolve Help Desk tickets related to reporting, dashboards, and BI tools Support general software and hardware installations when needed Other Responsibilities Manage email and phone communication professionally and promptly Respond to inquiries to resolve issues, provide information, or direct to appropriate personnel Perform additional assigned duties as needed Qualifications Required Minimum of 3 years of relevant experience Bachelor's degree in Computer Science, Data Analytics, Machine Learning, or equivalent experience Experience with cloud-based BI environments (Azure, AWS, etc.) Strong understanding of data modeling, data visualization, and ETL tools (e.g., SSIS, Azure Synapse, Snowflake, Informatica) Proficiency in SQL for data extraction, manipulation, and transformation Strong knowledge of DAX Familiarity with data warehouse technologies (e.g., Azure Blob Storage, Redshift, Snowflake) Experience with Power Pivot, SSRS, Azure Synapse, or similar reporting tools Strong analytical, problem-solving, and documentation skills Excellent written and verbal communication abilities High attention to detail and strong self-review practices Effective time management and organizational skills; ability to prioritize workload Professional, adaptable, team-oriented, and able to thrive in a dynamic environment

Job title: Lead Software Engineer Duration: Fulltime/Contract to Hire Role description: The successful candidate will be a key member of the HR Technology team, responsible for developing and maintaining global HR applications with a primary focus on HR Analytics ecosystem. This role combines technical expertise with HR domain knowledge to deliver robust data solutions that enable advanced analytics and data science initiatives. Key Responsibilities: Manage and support HR business applications, including problem resolution and issue ownership Design and develop ETL/ELT layer for HR data integration and ensure data quality and consistency Provide architecture solutions for Data Modeling, Data Warehousing, and Data Governance Develop and maintain data ingestion processes using Informatica, Python, and related technologies Support data analytics and data science initiatives with optimized data structures and AI/ML tools Manage vendor products and their integrations with internal/external applications Gather requirements and translate functional needs into technical specifications Perform QA testing and impact analysis across the BI ecosystem Maintain system documentation and knowledge repositories Provide technical guidance and manage stakeholder communications Required Skills & Experience: Bachelor's degree in computer science or engineering with 4+ years of delivery and maintenance work experience in the Data and Analytics space. Strong hands-on experience with data management, data warehouse/data lake design, data modeling, ETL Tools, advanced SQL and Python programming. Exposure to AI & ML technologies and experience tuning models and building LLM integrations. Experience conducting Exploratory Data Analysis (EDA) to identify trends and patterns, report key metrics. Extensive database development experience in MS SQL Server/ Oracle and SQL scripting. Demonstrable working knowledge of tools in CI/CD pipeline primarily GitLab and Jenkins Proficiency in using collaboration tools like Confluence, SharePoint, JIRA Analytical skills to model business functions, processes and dataflow within or between systems. Strong problem-solving skills to debug complex, time-critical production incidents. Good interpersonal skills to engage with senior stakeholders in functional business units and IT teams. Experience with Cloud Data Lake technologies such as Snowflake and knowledge of HR data model would be a plus.

Key Responsibilities: Manage and support batch processes and data pipelines in Azure Databricks and Azure Data Factory. Integrate and process Bloomberg market data feeds and files into trading or analytics platforms. Monitor, troubleshoot, and resolve data and system issues related to trading applications and market data ingestion. Develop, automate, and optimize ETL pipelines using Python, Spark, and SQL. Manage FTP/SFTP file transfers between internal systems and external vendors. Ensure data quality, completeness, and timeliness for downstream trading and reporting systems. Collaborate with operations, application support, and infrastructure teams to resolve incidents and enhance data workflows. Required Skills & Experience: 10+ years of experience in data engineering or production support within financial services or trading environments. Hands-on experience with Azure Databricks, Azure Data Factory, and Azure Storage, Logic Apps, Fabric. Strong Python and SQL programming skills. Experience with Bloomberg data feeds (BPIPE, TSIP,SFTP). Experience with Git, CI/CD pipelines, and Azure DevOps. Proven ability to support batch jobs, troubleshoot failures, and manage job scheduling. Experience handling FTP/SFTP file transfers and automation (e.g., using scripts or managed file transfer tools). Solid understanding of equities trading, fixed income trading, trading workflows, and financial instruments. Excellent communication, problem-solving, and stakeholder management skills.

🚀 Market Data Engineer - New York | Cutting-Edge Trading Environment I'm partnered with a leading technology-driven trading team in New York looking to bring on a Market Data Engineer to support global research, trading, and infrastructure groups. This role is central to managing the capture, normalization, and distribution of massive volumes of historical market data from exchanges worldwide. What You'll Do Own large-scale, time-sensitive market data capture + normalization pipelines Improve internal data formats and downstream datasets used by research and quantitative teams Partner closely with infrastructure to ensure reliability of packet-capture systems Build robust validation, QA, and monitoring frameworks for new market data sources Provide production support, troubleshoot issues, and drive quick, effective resolutions What You Bring Experience building or maintaining large-scale ETL pipelines Strong proficiency in Python + Bash, with familiarity in C++ Solid understanding of networking fundamentals Experience with workflow/orchestration tools (Airflow, Luigi, Dagster) Exposure to distributed computing frameworks (Slurm, Celery, HTCondor, etc.) Bonus Skills Experience working with binary market data protocols (ITCH, MDP3, etc.) Understanding of high-performance filesystems and columnar storage formats

Are you a data engineer who loves building systems that power real impact in the world? A fast growing healthcare technology organization is expanding its innovation team and is looking for a Data Engineer II to help build the next generation of its data platform. This team sits at the center of a major transformation effort, partnering closely with engineering, analytics, and product to design the foundation that supports advanced automation, AI, intelligent workflows, and high scale data operations that drive measurable outcomes for hospitals, health systems, and medical groups. In this role, you will design, develop, and maintain software applications that process large volumes of data every day. You will collaborate with cross functional teams to understand data requirements, build and optimize data models, and create systems that ensure accuracy, reliability, and performance. You will write code that extracts, transforms, and loads data from a variety of sources into modern data warehouses and data lakes, while implementing best in class data quality and governance practices. You will work hands on with big data technologies such as Hadoop, Spark, and Kafka, and you will play a critical role in troubleshooting, performance tuning, and ensuring the scalability of complex data applications. To thrive here, you should bring strong problem solving ability, analytical thinking, and excellent communication skills. This is an opportunity to join an expanding innovation group within a leading healthcare platform that is investing heavily in data, AI, and the future of intelligent revenue operations. If you want to build systems that make a real difference and work with teams that care deeply about improving patient experiences and provider performance, this is a chance to do highly meaningful engineering at scale.

AWS Data Engineer with Databricks Princeton, NJ - Hybrid - Need Locals or Neaby Duration: Long Term is available only to U.S. citizens. Key Responsibilities Design and implement ETL/ELT pipelines with Databricks, Apache Spark, AWS Glue, S3, Redshift, and EMR for processing large-scale structured and unstructured data. Optimize data flows, monitor performance, and troubleshoot issues to maintain reliability and scalability. Collaborate on data modeling, governance, security, and integration with tools like Airflow or Step Functions. Document processes and mentor junior team members on best practices. Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field. 5+ years of data engineering experience, with strong proficiency in Databricks, Spark, Python, SQL, and AWS services (S3, Glue, Redshift, Lambda). Familiarity with big data tools like Kafka, Hadoop, and data warehousing concepts.

Our client is seeking a Data Engineer with hands-on experience in Web Scraping technologies to help build and scale a new scraping capability within their Data Engineering team. This role will work directly with Technology, Operations, and Compliance to source, structure, and deliver alternative data from websites, APIs, files, and internal systems. This is a unique opportunity to shape a new service offering and grow into a senior engineering role as the platform evolves. Responsibilities Develop scalable Web Scraping solutions using AI-assisted tools, Python frameworks, and modern scraping libraries. Manage the full lifecycle of scraping requests, including intake, feasibility assessment, site access evaluation, extraction approach, data storage, validation, entitlement, and ongoing monitoring. Coordinate with Compliance to review Terms of Use, secure approvals, and ensure all scrapes adhere to regulatory and internal policy guidelines. Build and support AWS-based data pipelines using tools such as Cron, Glue, EventBridge, Lambda, Python ETL, and Redshift. Normalize and standardize raw, vendor, and internal datasets for consistent consumption across the firm. Implement data quality checks and monitoring to ensure the reliability, historical continuity, and operational stability of scraped datasets. Provide operational support, troubleshoot issues, respond to inquiries about scrape behavior or data anomalies, and maintain strong communication with users. Promote data engineering best practices, including automation, documentation, repeatable workflows, and scalable design patterns. Required Qualifications Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. 2-5 years of experience in a similar Data Engineering or Web Scraping role. Capital markets knowledge with familiarity across asset classes and experience supporting trading systems. Strong hands-on experience with AWS services (S3, Lambda, EventBridge, Cron, Glue, Redshift). Proficiency with modern Web Scraping frameworks (Scrapy, BeautifulSoup, Selenium, Playwright). Strong Python programming skills and experience with SQL and NoSQL databases. Familiarity with market data and time series datasets (Bloomberg, Refinitiv) is a plus. Experience with DevOps/IaC tooling such as Terraform or CloudFormation is desirable.

Act as a Enterprise Architect, supporting architecture reviews, design decisions, and strategic planning. Design and implement scalable data warehouse and analytics solutions on AWS and Snowflake. Develop and optimize SQL, ETL/ELT pipelines, and data models to support reporting and analytics. Collaborate with cross-functional teams (data engineering, application development, infrastructure) to align on architecture best practices and ensure consistency across solutions. Evaluate and recommend technologies, tools, and frameworks to improve data processing efficiency and reliability. Provide guidance and mentorship to data engineering teams, enforcing data governance, quality, and security standards. Troubleshoot complex data and performance issues and propose long-term architectural solutions. Support capacity planning, cost optimization, and environment management within AWS/Snowflake ecosystems. About ValueMomentum ValueMomentum is a leading solutions provider for the global property & casualty insurance industry, supported by deep domain and technology capabilities. We offer a comprehensive suite of advisory, development, implementation, and maintenance services across the entire P&C insurance value chain. This includes Underwriting, Claims, Distribution, and more, empowering insurers to stay ahead with sustained growth, high performance, and enhanced stakeholder value. Trusted by over 75 insurers, ValueMomentum is one of the largest standalone insurance-focused solutions providers to the US insurance industry.

Title: Senior Azure Data Engineer Client: Major Japanese Bank Experience Level: Senior (10+ Years) The Senior Azure Data Engineer will design, build, and optimize enterprise data solutions within Microsoft Azure for a major Japanese bank. This role focuses on architecting scalable data pipelines, enhancing data lake environments, and ensuring security, compliance, and data governance best practices. Key Responsibilities: Develop, maintain, and optimize Azure-based data pipelines and ETL/ELT workflows. Design and implement Azure Data Lake, Synapse, Databricks, and ADF solutions. Ensure data security, compliance, lineage, and governance controls. Partner with architecture, data governance, and business teams to deliver high-quality data solutions. Troubleshoot performance issues and improve system efficiency. Required Skills: 10+ years of data engineering experience. Strong hands-on expertise with Azure Synapse, Azure Data Factory, Azure Databricks, Azure Data Lake, and Azure SQL. Azure certifications strongly preferred. Strong SQL, Python, and cloud data architecture skills. Experience in financial services or large enterprise environments preferred.

Haptiq is a leader in AI-powered enterprise operations, delivering digital solutions and consulting services that drive value and transform businesses. We specialize in using advanced technology to streamline operations, improve efficiency, and unlock new revenue opportunities, particularly within the private capital markets. Our integrated ecosystem includes PaaS - Platform as a Service, the Core Platform, an AI-native enterprise operations foundation built to optimize workflows, surface insights, and accelerate value creation across portfolios; SaaS - Software as a Service, a cloud platform delivering unmatched performance, intelligence, and execution at scale; and S&C - Solutions and Consulting Suite, modular technology playbooks designed to manage, grow, and optimize company performance. With over a decade of experience supporting high-growth companies and private equity-backed platforms, Haptiq brings deep domain expertise and a proven ability to turn technology into a strategic advantage. The Opportunity As a Data Engineer within the Global Operations team, you will be responsible for managing the internal data infrastructure, building and maintaining data pipelines, and ensuring the integrity, cleanliness, and usability of data across our critical business systems. This role will play a foundational part in developing a scalable internal data capability to drive decision-making across Haptiq's operations. Responsibilities and Duties Design, build, and maintain scalable ETL/ELT pipelines to consolidate data from delivery, finance, and HR systems (e.g., Kantata, Salesforce, JIRA, HRIS platforms). Ensure consistent data hygiene, normalization, and enrichment across source systems. Develop and maintain data models and data warehouses optimized for analytics and operational reporting. Partner with business stakeholders to understand reporting needs and ensure the data structure supports actionable insights. Own the documentation of data schemas, definitions, lineage, and data quality controls. Collaborate with the Analytics, Finance, and Ops teams to build centralized reporting datasets. Monitor pipeline performance and proactively resolve data discrepancies or failures. Contribute to architectural decisions related to internal data infrastructure and tools. Requirements 3-5 years of experience as a data engineer, analytics engineer, or similar role. Strong experience with SQL, data modeling, and pipeline orchestration (e.g., Airflow, dbt). Hands-on experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift). Experience working with REST APIs and integrating with SaaS platforms like Salesforce, JIRA, or Workday. Proficiency in Python or another scripting language for data manipulation. Familiarity with modern data stack tools (e.g., Fivetran, Stitch, Segment). Strong understanding of data governance, documentation, and schema management. Excellent communication skills and ability to work cross-functionally. Benefits Flexible work arrangements (including hybrid mode) Great Paid Time Off (PTO) policy Comprehensive benefits package (Medical / Dental / Vision / Disability / Life) Healthcare and Dependent Care Flexible Spending Accounts (FSAs) 401(k) retirement plan Access to HSA-compatible plans Pre-tax commuter benefits Employee Assistance Program (EAP) Opportunities for professional growth and development. A supportive, dynamic, and inclusive work environment. Why Join Us? We value creative problem solvers who learn fast, work well in an open and diverse environment, and enjoy pushing the bar for success ever higher. We do work hard, but we also choose to have fun while doing it. The compensation range for this role is $75,000 to $80,000 USD

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies - in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences - to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients' toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. Job Description Experienced Data management specialist responsible for developing, overseeing, organizing, storing, and analyzing data and data systems Participate in all aspects of the software development lifecycle for Snowflake solutions, including planning, requirements, development, testing, and quality assurance Work in tandem with our engineering team to identify and implement the most optimal solutions Ensure platform performance, uptime, and scale, maintaining high standards for code quality and thoughtful design Troubleshoot incidents, identify root causes, fix and document problems, and implement preventive measures Able to manage deliverables in fast paced environments Areas of Expertise At least 10 years of experience designing and development of data solutions in enterprise environment At least 5+ years' experience on Snowflake Platform Strong hands-on SQL and Python development Experience with designing and developing data warehouses in Snowflake A minimum of three years' experience in developing production-ready data ingestion and processing pipelines using Spark, Scala Strong hands-on experience with Orchestration Tools e.g. Airflow, Informatica, Automic Good understanding on Metadata and data lineage Hands-on knowledge on SQL Analytical functions Strong knowledge and hands-on experience in Shell scripting, Java Scripting Able to demonstrate experience with software engineering practices including CI/CD, Automated testing and Performance Engineering. Good understanding and exposure to Git, Confluence and Jira Good problem solving and troubleshooting skills. Team player, collaborative approach and excellent communication skills Our Commitment to Diversity & Inclusion: Did you know that Apexon has been Certified™ by Great Place To Work , the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We are taking affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com)

NeenOpal is a global consulting firm specializing in Data Science and Business Intelligence, with offices in Bengaluru, Newark, and Fredericton. We provide end-to-end solutions tailored to the unique needs of businesses, from startups to large organizations, across domains like digital strategy, sales and marketing, supply chain, and finance. Our mission is to help organizations achieve operational excellence and transform into data-driven enterprises. Role Description This is a full-time, hybrid, Data Engineer role located in Newark, NJ. The Data Engineer will be responsible for designing, implementing, and managing data engineering solutions to support business needs. Day-to-day tasks include building and optimizing data pipelines, developing and maintaining data models and ETL processes, managing data warehousing solutions, and contributing to the organization's data analytics initiatives. Collaboration with cross-functional teams to ensure robust data infrastructure will be a key aspect of this role. Key Responsibilities Data Pipeline Development: Design, implement, and manage robust data pipelines to ensure efficient data flow into data warehouses. Automate ETL processes using Python and advanced data engineering tools. Data Integration: Integrate and transform data using industry-standard tools. Experience required with: AWS Services: AWS Glue, Data Pipeline, Redshift, and S3. Azure Services: Azure Data Factory, Synapse Analytics, and Blob Storage. Data Warehousing: Implement and optimize solutions using Snowflake and Amazon Redshift. Database Management: Develop and manage relational databases (SQL Server, MySQL, PostgreSQL) to ensure data integrity. Performance Optimization: Continuously monitor and improve data processing workflows and apply best practices for query optimization. Global Collaboration: Work closely with cross-functional teams in the US, India, and Canada to deliver high-quality solutions. Governance & Support: Document ETL processes and data mappings in line with governance standards. Diagnose and resolve data-related issues promptly. Required Skills and Experience Experience: Minimum 2+ years of experience designing and developing ETL processes (AWS Glue, Azure Data Factory, or similar). Integration: Experience integrating data via RESTful / GraphQL APIs. Programming: Proficient in Python for ETL automation and SQL for database management. Cloud Platforms: Strong experience with AWS or Azure data services. (GCP familiarity is a plus) . Data Warehousing: Expertise with Snowflake, Amazon Redshift, or Azure Synapse Analytics. Integration: Experience integrating data via RESTful APIs. Communication: Excellent articulation skills to explain technical work directly to clients and stakeholders. Authorization: Must have valid work authorization in the United States. Salary Range: $65,000- $80,000 per year Benefits: This role includes health insurance, paid time off, and opportunities for professional growth and continuous learning within a fast-growing global analytics company. Equal Opportunity Employer NeenOpal Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.