Data engineer jobs in New York

Job Title: Data Governance Lead - Data Architecture & Governance Employment Type: Full-Time Base Salary: $220K to $250K (based on experience) + Bonus is eligible for medical, dental, vision About the Role: We are seeking an Experienced Data Governance Lead to join a dynamic data and analytics team in New York. This role will design and oversee the organization's data governance framework, stewardship model, and data quality approach across financial services business lines, ensuring trusted and well-defined data for reporting and analytics across Databricks lakehouse, CRM, management reporting, data science teams, and GenAI initiatives. Primary Responsibilities: Design, implement, and refine enterprise-wide data governance framework, including policies, standards, and roles for data ownership and stewardship. Lead the design of data quality monitoring, dashboards, reporting, and exception-handling processes, coordinating remediation with stewards and technology teams. Drive communication and change management for governance policies and standards, making them practical and understandable for business stakeholders. Define governance processes for critical data domains (e.g., companies, contacts, funds, deals, clients, sponsors) to ensure consistency, compliance, and business value. Identify and onboard business data owners and stewards across business teams. Partner with Data Solution Architects and business stakeholders to align definitions, semantics, and survivorship rules, including support for DealCloud implementations. Define and prioritize data quality rules and metrics for key data domains. Develop training and onboarding materials for stewards and users to reinforce governance practices and improve reporting, risk management, and analytics outcomes. Qualifications: 6-8 years in data governance, data management, or related roles, preferably within financial services. Strong understanding of data governance concepts, including stewardship models, data quality management, and issue-resolution processes. Familiarity with CRM or deal management platforms (e.g., DealCloud, Salesforce) and modern data platforms (e.g., Databricks or similar). Proficiency in SQL for data investigation, ad hoc analysis, and validation of data quality rules. Comfortable working with Databricks, Jupyter notebooks, Excel, and BI tools. Python skills for automation, data wrangling, profiling, and validation are strongly preferred. Exposure to investment banking, equities, or private markets data is a plus. Excellent written and verbal communication skills with the ability to lead cross-functional discussions and influence senior stakeholders. Highly organized, proactive, and able to balance strategic governance framework design with hands-on execution.

NYC NY / Hybrid 12+ Months Project - Leveraging Llama to extract cybersecurity insights out of unstructured data from their ticketing system. Must have strong experience with: Llama Python Hadoop MCP Machine Learning (ML) They need a strong developer - using llama and Hadoop (this is where the data sits), experience with MCP. They have various ways to pull the data out of their tickets but want someone who can come in and make recommendations on the best way to do it and then get it done. They have tight timelines. Thanks and Regards! Lavkesh Dwivedi ************************ Amtex System Inc. 28 Liberty Street, 6th Floor | New York, NY - 10005 ************ ********************

Data Engineer - Data Migration Project 6-Month Contract (ASAP Start) Hybrid - Manhattan, NY (3 days/week) We are seeking a Data Engineer to support a critical data migration initiative for a leading sports entertainment and gaming company headquartered in Manhattan, NY. This role will focus on transitioning existing data workflows and analytics pipelines from Amazon Redshift to Databricks, optimizing performance and ensuring seamless integration across operational reporting systems. The ideal candidate will have strong SQL and Python skills, experience working with Salesforce data, and a background in data engineering, ETL, or analytics pipeline optimization. This is a hybrid role requiring collaboration with cross-functional analytics, engineering, and operations teams to enhance data reliability and scalability. Minimum Qualifications: Advanced proficiency in SQL, Python, and SOQL Hands-on experience with Databricks, Redshift, Salesforce, and DataGrip Experience building and optimizing ETL workflows and pipelines Familiarity with Tableau for analytics and visualization Strong understanding of data migration and transformation best practices Ability to identify and resolve discrepancies between data environments Excellent analytical, troubleshooting, and communication skills Responsibilities: Modify and migrate existing workflows and pipelines from Redshift to Databricks. Rebuild data preprocessing structures that prepare Salesforce data for Tableau dashboards and ad hoc analytics. Identify and map Redshift data sources to their Databricks equivalents, accounting for any structural or data differences. Optimize and consolidate 200+ artifacts to improve efficiency and reduce redundancy. Implement Databricks-specific improvements to leverage platform capabilities and enhance workflow performance. Collaborate with analytics and engineering teams to ensure data alignment across business reporting systems. Apply a “build from scratch” mindset to design scalable, modernized workflows rather than direct lift-and-shift migrations. Identify dependencies on data sources not yet migrated and assist in prioritization efforts with the engineering team. What's in it for you? Opportunity to lead a high-impact data migration initiative at a top-tier gaming and entertainment organization. Exposure to modern data platforms and architecture, including Databricks and advanced analytics workflows. Collaborative environment with visibility across analytics, operations, and engineering functions. Ability to contribute to the foundation of scalable, efficient, and data-driven decision-making processes. EEO Statement: Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

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

The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, a clinical data warehouse team and a data services team. The Lead HPC Architect, Cybersecurity, High Performance Computational and Data Ecosystem, is responsible for designing, implementing, and managing the cybersecurity infrastructure and technical operations of Scientific Computing's computational and data science ecosystem. This ecosystem includes a 25,000+ core and 40+ petabyte usable high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. The HPC system is the fastest in the world at any academic biomedical center (Top 500 list). To meet Sinai's scientific and clinical goals, the Lead brings a strategic, tactical and customer-focused vision to evolve the ecosystem to be continually more resilient, secure, scalable and productive for basic and translational biomedical research. The Lead combines deep technical expertise in cybersecurity, HPC systems, storage, networking, and software infrastructure with a strong focus on service, collaboration, and strategic planning for researchers and clinicians throughout the organization and beyond. The Lead is an expert troubleshooter, productive partner and leader of projects. The lead will work with stakeholders to make sure the HPC infrastructure is in compliance with governmental funding agency requirements and to promote efficient resource utilizations for researchers This position reports to the Director for HPC and Data Ecosystem in Scientific Computing and Data. Key Responsibilities: HPC Cybersecurity & System Administration: Design, implement, and manage all cybersecurity operations within the HPC environment, ensuring alignment with industry standards (NIST, ISO, GDPR, HIPAA, CMMC, NYC Cyber Command, etc.). Implement best practices for data security, including but not limited to encryption (at rest, in transit, and in use), audit logging, access control, authentication control, configuration managements, secure enclaves, and confidential computing. Perform full-spectrum HPC system administration: installation, monitoring, maintenance, usage reporting, troubleshooting, backup and performance tuning across HPC applications, web service, database, job scheduler, networking, storage, computes, and hardware to optimize workload efficiency. Lead resolution of complex cybersecurity and system issues; provide mentorship and technical guidance to team members. Ensure that all designs and implementations meet cybersecurity, performance, scalability, and reliability goals. Ensure that the design and operation of the HPC ecosystem is productive for research. Lead the integration of HPC resources with laboratory equipment for data ingestion aligned with all regulatory such as genomic sequencers, microscopy, clinical system etc. Develop, review and maintain security policies, risk assessments, and compliance documentation accurately and efficiently. Collaborate with institutional IT, compliance, and research teams to ensure all regulatory, Sinai Policy and operational alignment. Design and implement hybrid and cloud-integrated HPC solutions using on-premise and public cloud resources. Partner with other peers regionally, nationally and internationally to discover, propose and deploy a world-class research infrastructure for Mount Sinai. Stay current with emerging HPC, cloud, and cybersecurity technologies to keep the organization's infrastructure up-to-date. Work collaboratively, effectively and productively with other team members within the group and across Mount Sinai. Provide after-hours support as needed. Perform other duties as assigned or requested. Requirements: Bachelor's degree in computer science, engineering or another scientific field. Master's or PhD preferred. 10 years of progressive HPC system administration experience with Enterprise Linux releases including RedHat/CentOS/Rocky Systems, and batch cluster environment. Experience with all aspects of high-throughput HPC including schedulers (LSF or Slurm), networking (Infiniband/Gigabit Ethernet), parallel file systems and storage, configuration management systems (xCAT, Puppet and/or Ansible), etc. Proficient in cybersecurity processes, posture, regulations, approaches, protocols, firewalls, data protection in a regulated environment (e.g. finance, healthcare). In-depth knowledge HIPAA, NIST, FISMA, GDPR and related compliance standards, with prove experience building and maintaining compliant HPC system Experience with secure enclaves and confidential computing. Proven ability to provide mentorship and technical leadership to team members. Proven ability to lead complex projects to completion in collaborative, interdisciplinary settings with minimum guidance. Excellent analytical ability and troubleshooting skills. Excellent communication, documentation, collaboration and interpersonal skills. Must be a team player and customer focused. Scripting and programming experience. Preferred Experience Proficient with cloud services, orchestration tools, openshift/Kubernetes cost optimization and hybrid HPC architectures. Experience with Azure, AWS or Google cloud services. Experience with LSF job scheduler and GPFS Spectrum Scale. Experience in a healthcare environment. Experience in a research environment is highly preferred. Experience with software that enables privacy-preserving linking of PHI. Experience with Globus data transfer. Experience with Web service, SAP HANA, Oracle, SQL, MariaDB and other database technologies. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are looking for a candidate will be responsible for designing, implementing, and managing data solutions on the Azure platform in Financial / Banking domain. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York City, NY is $130k - $140k/year & benefits (see below). The Role Responsibilities: Lead the development and optimization of batch and real-time data pipelines, ensuring scalability, reliability, and performance. Architect, design, and deploy data integration, streaming, and analytics solutions leveraging Spark, Kafka, and Snowflake. Ability to help voluntarily and proactively, and support Team Members, Peers to deliver their tasks to ensure End-to-end delivery. Evaluates technical performance challenges and recommend tuning solutions. Hands-on knowledge of Data Service Engineer to design, develop, and maintain our Reference Data System utilizing modern data technologies including Kafka, Snowflake, and Python. Requirements: Proven experience in building and maintaining data pipelines, especially using Kafka, Snowflake, and Python. Strong expertise in distributed data processing and streaming architectures. Experience with Snowflake data warehouse platform: data loading, performance tuning, and management. Proficiency in Python scripting and programming for data manipulation and automation. Familiarity with Kafka ecosystem (Confluent, Kafka Connect, Kafka Streams). Knowledge of SQL, data modelling, and ETL/ELT processes. Understanding of cloud platforms (AWS, Azure, GCP) is a plus. Domain Knowledge in any of the below area: Trade Processing, Settlement, Reconciliation, and related back/middle-office functions within financial markets (Equities, Fixed Income, Derivatives, FX, etc.). Strong understanding of trade lifecycle events, order types, allocation rules, and settlement processes. Funding Support, Planning & Analysis, Regulatory reporting & Compliance. Knowledge of regulatory standards (such as Dodd-Frank, EMIR, MiFID II) related to trade reporting and lifecycle management. We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 21 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

We're looking for a seasoned Senior Data Engineer with strong Hadoop to design, build, and scale data pipelines and platforms powering analytics, AI/ML, and business operations. You'll own end-to-end data engineering-from ingestion and transformation to performance optimization-across large-scale distributed systems and modern cloud data platforms. Key Responsibilities Design & Build Data Pipelines: Architect, develop, and maintain robust ETL/ELT pipelines for batch and streaming data using Hadoop ecosystem, Spark, and Airflow. Big Data Architecture: Define and implement scalable big data architectures, ensuring reliability, fault tolerance, and cost efficiency. Data Modeling: Develop and optimize data models for Data Warehouse and Operational Data Store (ODS); ensure conformed dimensions and star/snowflake schemas where appropriate. SQL Expertise: Write, optimize, and review complex SQL/HiveQL queries for large datasets; enforce query standards and patterns. Performance Tuning: Optimize Spark jobs, SQL queries, storage formats (e.g., Parquet/ORC), partitioning, and indexing to improve latency and throughput. Data Quality & Governance: Implement data validation, lineage, cataloging, and security controls across environments. Workflow Orchestration: Build and manage DAGs in Airflow, ensuring observability, retries, alerting, and SLAs. Cross-functional Collaboration: Partner with Data Science, Analytics, and Product teams to deliver reliable datasets and features. Best Practices: Champion coding standards, CI/CD, infrastructure-as-code (IaC), and documentation across the data platform. Required Qualifications 7+ years of hands-on data engineering experience building production-grade pipelines. Strong experience with Hadoop (HDFS, YARN), Hive SQL/HiveQL, Spark (Scala/Java/PySpark), and Airflow. Expert-level SQL skills with the ability to write and tune complex queries on large datasets. Solid understanding of Big Data architecture patterns (e.g., lakehouse, data lake + warehouse, CDC). Deep knowledge of ETL/ELT and DW/ODS concepts (slowly changing dimensions, partitioning, columnar storage, incremental loads). Proven track record in performance tuning for large-scale systems (Spark jobs, shuffle optimizations, broadcast joins, skew handling). Strong programming background in Java and/or Scala (Python is a plus). Preferred Skills Experience with AI-driven data processing (feature engineering pipelines, ML-ready datasets, model data dependencies). Hands-on with cloud data platforms (AWS, GCP, or Azure)-services like EMR/Dataproc/HDInsight, S3/GCS/ADLS, Glue/Dataflow, BigQuery/Snowflake/Redshift/Synapse. Exposure to NoSQL databases (Cassandra, HBase, DynamoDB, MongoDB). Advanced data governance & security (row/column-level security, tokenization, encryption at rest/in transit, IAM/RBAC, data lineage/catalog). Familiarity with Kafka (topics, partitions, consumer groups, schema registry, stream processing). Experience with CI/CD for data (Git, Jenkins/GitHub Actions, Terraform), containerization (Docker, Kubernetes). Knowledge of metadata management and data observability (Great Expectations, Monte Carlo, OpenLineage). Life at Capgemini: Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Disaster Relief Disclaimer: Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant **************************************************************************

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.

Title: Data Engineer (Web Scraping technologies) Duration: FTE/Perm Salary: 125-190k plus bonus Responsibilities: Utilize AI Models, Code, Libraries or applications to enable a scalable Web Scraping capability Web Scraping Request Management including intake, assessment, accessing sites to scrape, utilizing tools to scrape, storage of scrape, validation and entitlement to users Fielding Questions from users about the scrapes and websites Coordinating with Compliance on approvals and TOU reviews Some Experience building Data pipelines in AWS platform utilizing existing tools like Cron, Glue, Eventbridge, Python based ETL, AWS Redshift Normalizing/standardizing vendor data, firm data for firm consumption Implement data quality checks to ensure reliability and accuracy of scraped data Coordinate with Internal teams on delivery, access, requests, support Promote Data Engineering best practices Required Skills and Qualifications: Bachelor's degree in computer science, Engineering, Mathematics or related field 2-5 experience in a similar role Prior buy side experience is strongly preferred (Multi-Strat/Hedge Funds) Capital markets experience is necessary with good working knowledge of reference data across asset classes and experience with trading systems AWS cloud experience with commons services (S3, lambda, cron, Event Bridge etc.) Experience with web-scraping frameworks (Scrapy, BeautifulSoup, Selenium, Playwright etc.) Strong hands-on skills with NoSQL and SQL databases, programming in Python, data pipeline orchestration tools and analytics tools Familiarity with time series data and common market data sources (Bloomberg, Refinitiv etc.) Familiarity with modern Dev Ops practices and infrastructure-as-code tools (e.g. Terraform, CloudFormation) Strong communication skills to work with stakeholders across technology, investment, and operations teams.

Data Solutions Architect The Data Solutions Architect will play a pivotal role in advancing organizational data and artificial intelligence (AI) initiatives. Leveraging statistical analysis, machine learning (ML), and large language models (LLMs), this role focuses on extracting insights and supporting decision-making across diverse business operations and professional service practices. The architect will collaborate with innovation teams, technical resources, and stakeholders to design and implement data-driven solutions that enhance service delivery and operational efficiency. Staying current with emerging technologies and best practices, the Data Solutions Architect will integrate cutting-edge techniques into projects, offering a unique opportunity to shape the future of data and AI within the professional services sector. Principal Duties and Responsibilities Partner with operational and practice teams to identify challenges and opportunities for workflow improvement. Translate complex domain logic into actionable data requirements and AI use cases. Design, build, and maintain scalable data pipelines and infrastructure to support AI and BI initiatives. Utilize SQL, Python, R, and other analytics tools to analyze, model, and visualize data trends. Collaborate with technology teams to refine and maintain data pipelines, warehouses, and databases. Develop tools and processes to transform raw data into user-friendly formats for self-service analytics. Apply advanced quantitative methods, including ML and NLP, to identify patterns and build predictive models. Design and deploy systems for applications such as text analysis, trend analysis, and predictive modeling. Craft, test, and refine prompts for LLMs to generate contextually accurate outputs tailored to research and drafting workflows. Deliver AI-driven solutions from proof of concept through production, addressing cross-functional and practice-specific needs. Continuously monitor advancements in AI, ML, and data science, integrating innovative technologies into organizational projects. Job Specifications Required Education Bachelor's degree in Data Science, Computer Science, Engineering, or related fields. Preferred Education Master's degree in a relevant discipline; coursework in deep learning, NLP, or information retrieval is highly valued. Required Experience Minimum of 3 years of relevant experience, including at least 2 years in data engineering and data science roles. Competencies Demonstrated expertise in data analytics and engineering with a strong focus on data modeling. Proficiency in statistical programming languages (Python, R) and database management (SQL). Hands-on experience with ML, NLP, and data visualization tools. Strong problem-solving and communication skills, with the ability to present complex data to non-technical audiences. Experience in professional services or related 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

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.

Salary Range: $150,000 - $250,000 + Equity Working Arrangement: Full Time - On-Site Cubiq is currently representing an award-winning early-stage Y Combinator-backed start-up in their pursuit to find a founding Robotics Software engineer, to enable the deployment and growth of their Natural Language Robotics Interface. This company is still very small, headed up by 2 ex-Google AI engineers, who were instrumental in the development of Claude. They're looking to add a Software engineer who can implement their AI algorithms into any and all types of robots to be easily controlled by anyone. The role will see the successful candidate becoming a key part of these plans and the company as a whole as they continue to grow. You will be building the core infrastructure and services for the system, Designing APIs and interfaces between the AI models, hardware, and human operators. Working across the stack from Robot-facing services to real-time agent orchestration. This is an on-site position in central New York, and is offering a salary between $140,000 -$220,000 and can stretch for the right candidate. There is full healthcare coverage and a 401K match. But the equity on offer is the real benefit to this role. The right candidate will need the following experience: Previous experience working with an Embodied AI system 2+ years of Software experience working with an LLM, RAG, or VLM Strong Python experience Experience at a scaling real-time system, data pipelines or working on integrating AI/ML models High Agency and good communication skills If you have the experience mentioned above, apply immediately! Interviews are already happening!

Join a small, high‑caliber team building a next‑generation, multi‑asset Execution Management System used by leading hedge funds and institutional managers. This role focuses on high‑performance, desktop C# development, integrating liquidity, execution, analytics, and workflow into a customizable, trader‑friendly interface. What you'll do Enhance capacity, throughput, and responsiveness of C# components and user workflows using Agile delivery practices. Evaluate technologies and propose pragmatic designs for next‑gen features in a real‑time trading context. Collaborate closely with cross‑functional partners; communicate clearly and ship reliably. Juggle multiple priorities and adapt quickly in a fast‑moving environment. What you bring BS/MS in a technical field and 5+ years of professional experience. Proven track record building multi‑threaded, high‑performance C# desktop applications (UI and server‑side services). Strong command of modern .NET/C# for rich client and background processing; experience with desktop frameworks (e.g., WPF/WinForms) over web frameworks for this role. Familiarity with financial markets and multi‑asset workflows (equities, fixed income, etc.) is a strong plus. Hands‑on with .NET memory/performance profiling and optimization. Solid OOP fundamentals; additional experience with Java or WPF is a plus. Comfortable with unit testing and code quality practices. Self‑starter with a bias for technical excellence and strong written/verbal communication.

We are seeking a highly skilled and motivated Software Engineer to join our growing technology team. The role is responsible for designing and coding enhancements, features, and fixes for existing applications, as well as building new applications, including initiatives involving Generative AI and agentic solutions. The engineer will provide expert-level support, contribute to system strategy and planning, and collaborate with internal teams, stakeholders, and external vendors to deliver technology solutions. Base: 200k-300k All in total comp including bonus: 300k-450k Responsibilities Develop, integrate, and support custom and vendor technology solutions for business processes. Collaborate with business analysts, support, and infrastructure teams to implement end-to-end solutions. Create and maintain detailed functional and technical user stories. Design, develop, train, and support Generative AI solutions. Maintain documentation, conduct knowledge transfer sessions, and participate in peer review of designs. Experience Level 4+ years of IT development experience, including design, implementation, testing, and documentation of modern web applications (Python, React/Angular, JavaScript, .NET, cloud platforms). Experience building RESTful APIs and backend integrations. Exposure to Generative AI applications, agentic solutions, and LLM frameworks is a plus. Solid RDBMS and SQL knowledge; familiarity with data warehousing tools is preferred. Experience with DevOps and CI/CD pipelines (Azure DevOps, GitHub, Jenkins, Maven, Kubernetes). Knowledge of secure development practices and API security. Experience in Agile/Scrum development methodologies. Strong analytical, problem-solving, and system design skills. Willingness to participate in on-call rotations and after-hours support. The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.

New York City $200k - $350k base + equity AI Start-up We're working on behalf of a New York based early stage frontier LLM start-up who have just raised at a billion dollar valuation and are actively looking to scale their engineering team across the stack. They're actively looking for engineers who have ideally had exposure to both smaller businesses as well as either growth start-ups or high-calibre big tech firms who can leverage their experience scaling systems. 2+ years commercial experience either in high-calibre tech company or early founder/founding engineer role - particularly interested in engineers who have been through either a company or team growth phase Proficient with Python, Typescript, or Rust - however if you're competent with another backend language and happy to pick up the stack this isn't a hard requirement Strong engineering fundamentals with exposure to a variety of different engineering problems Exposure to language models and GenAI preferred

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specializing in the fields of Banking, Finance, and Financial Services. Guided by our core values of closeness, teamwork, diversity, and excellence, our team of 1,000 expert consultants, representing 35 different nationalities, collaborates across 10 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Geneva, Lisbon, Porto and Casablanca. Job Description: Our client, a prestigious international financial institution, is seeking an experienced C# .NET Developer with a minimum of 5 years of experience in similar roles. The successful candidate will work closely with business users and develop cutting-edge solutions for equity products. Key Responsibilities: Develop, enhance, and maintain financial applications using C# .NET. Work directly with traders, analysts, and other stakeholders to understand business requirements and translate them into technical solutions. Design and implement high-performance, scalable, and robust applications. Ensure best coding practices, including unit testing and code reviews. Optimize system performance and troubleshoot issues efficiently. Collaborate with cross-functional teams to deliver high-quality software solutions. Stay updated on industry trends and new technologies relevant to equity trading. Required Skills & Experience: 5+ years of experience as a C# .NET Developer in a financial institution in trading environment. Strong knowledge of .NET Core / .NET Framework and C# development. Experience in equity products and a good understanding of financial markets. Ability to work closely with business users and understand trading workflows. Proficiency in relational databases (SQL Server, PostgreSQL, or Oracle). Experience with multithreading, asynchronous programming, and performance optimization.

My client, ranked among Fortune's World's Most Admired Companies, is a global leader in investment management and is seeking an AI Software Engineer to join the team. We have Mid & Senior level openings in NYC. ***Amazing salary, bonus, & some of the best benefits in the marketplace!! Primary responsibility: Develop and deliver AI-driven software solutions, collaborating with stakeholders and working alongside top AI industry leaders to build end-to-end applications and AI agents. What we're looking for: 2-12 years of software engineering experience with strong coding and system design skills. Experience designing, building, or deploying AI-driven applications, intelligent agents, or automation solutions. Familiarity with AI frameworks, cloud-native architectures (AWS, containerized microservices), or data-driven systems. Passion for learning emerging technologies and applying AI to solve real business problems. Key Responsibilities: Design, code, test, and deploy AI-driven applications and intelligent agents. Collaborate in agile squads across front-end, back-end, data science, and UX. Translate business requirements into AI-powered solutions and actionable insights. Contribute to AI agent design, orchestration, prompt engineering, and deployment. Use cloud and AI technologies: AWS, Databricks, Salesforce, containerized microservices, and AI/ML frameworks. Qualifications: BS/MS in Computer Science Experience with Python, JavaScript, or Java (preferred beyond just Java) Proven ability to deliver complete solutions, not just scripts Hands-on experience with cloud-native architectures (AWS, Azure), containerized microservices, and agent frameworks Stable career history; entrepreneurial and collaborative mindset #LI-GT

The Role We are looking for a full-stack software engineer to build software that efficiently manages microgrids and other distributed energy resources. This is a great role for someone interested in building software that will change the future of the energy industry. You will report to our Director of Software Engineering and be based in our New York City office (Union Square area). Key responsibilities will include: Front-end development: build web applications with modern, interactive UIs for operators and customers Back-end development: implement high-performance, well-documented APIs (FastAPI, REST, and OpenAPI-first design) IoT and messaging pipelines: design and maintain scalable data ingestion, transformation, and event-driven pipelines (MQTT, AWS IoT, SQS, Sparkplug B) Hardware and SCADA integration: integrate with edge controllers and SCADA platforms (e.g., Modbus, DNP3, OPC-UA, Ignition) System design: collaborate with product management and design to deliver robust software products that excite users and achieve business goals Reliability & observability: implement logging, monitoring, and alerting for high availability microgrid software deployments Collaboration: work with stakeholders across engineering, operations, and product to turn workflows into production-ready automation Continuous improvement: assess and adopt new technologies to enhance performance, scalability, and maintainability The Ideal Candidate: Bachelor's degree in Computer Science, Electrical Engineering, or related field preferred 5+ years of experience with Python and JavaScript/TypeScript development FastAPI and microservices experience React for front-end development PostgreSQL and relational database design Experience with high-volume, time-series data processing Experience with message brokers and IoT protocols (MQTT, Sparkplug B, AWS IoT Core) Experience with SCADA platforms (e.g., Ignition or equivalent) and deployment and management of edge devices Experience with SCADA/energy protocols such as Modbus, OpenADR, DNP3, or IEEE 61850 Excellent communication and collaboration skills to work across teams with evolving requirements This is a great opportunity to have a long-term impact on a fast-paced, private equity-backed growth business. Some of the core virtues embraced by Scales' employees include: Do the Right Thing Act Like An Owner Hustle Demand Results Go Together Evolve or Disappear We offer a competitive compensation package and a comprehensive benefits program including medical benefits, paid vacation and holidays, and 401K matching. About Scale Microgrids Scale is redefining resilience, with advanced microgrids that go beyond traditional backup power solutions to give businesses the power to adapt and thrive amid all of today's growing energy challenges. As a vertically-integrated provider of turnkey advanced microgrid systems, Scale combines project design, engineering, and execution expertise with microgrid-as-a-service financing to offer our customers systems that are optimized to deliver maximum value from day one while ensuring ultra-reliable operations and fast time-to-power. Scale is backed by EQT, a firm with ~$250B in assets, bringing a depth of experience, resources, and capital that will enable Scale to continue pursuing our vision of powering the world with distributed energy. The investment enables Scale to own and operate billions of dollars in distributed generation assets. To learn more about Scale Microgrids, please visit ******************************** About EQT EQT is a leading purpose-driven global investment organization with EUR 246 billion in total assets under management, divided into two business segments: Private Capital and Real Assets. EQT owns portfolio companies and assets in Europe, Asia Pacific, and the Americas and supports them in achieving sustainable growth, operational excellence, and market leadership. To learn more about EQT, please visit ********************* Scale strives to attract and retain a workforce that reflects the composition of our customer base and communities. We are committed to providing a work environment that provides everyone with equal access and opportunity to contribute and drive meaningful outcomes. We encourage applicants from all backgrounds to apply and will consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.