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Data Architect - Power & Utilities - Senior Manager- Consulting - Location OPEN
Ernst & Young Oman 4.7
Data engineer job in Stamford, CT
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI & Data - Data Architecture - Senior Manager - Power & Utilities Sector EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures. The opportunity You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints. Your key responsibilities In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include: As Data Architect - Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them. Skills and attributes for success To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include: Technical Skills Applications Integration Cloud Computing and Cloud Computing Architecture Data Architecture Design and Modelling Data Integration and Data Quality AI/Agentic AI driven data operations Experience delivering business use cases in Transmission / Distribution / Generation / Customer. Strong relationship management and business development skills. Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems. Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements. Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives. Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects. Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions. Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement. Establish data governance policies and practices, including data security, quality, and lifecycle management. Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities. To qualify for the role, you must have A Bachelor's degree required in STEM 12+ years professional consulting experience in industry or in technology consulting. 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions. 5+ years' experience with native cloud products and services such as Azure or GCP. 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development. In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration. Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications. Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably. Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes. Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations. Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala. Ability to design data solutions that can scale horizontally and vertically while optimizing performance. Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads. Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps). Practical understanding of data encryption, access control, and security best practices to protect sensitive data. Experience leading Infrastructure and Security engineers and architects in overall platform build. Excellent leadership, communication, and project management skills. Data Security and Database Management Enterprise Data Management and Metadata Management Ontology Design and Systems Design Ideally, you'll also have Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience. Experience working at big 4 or a major utility. Experience with cloud data platforms like Databricks. Experience in leading and influencing teams, with a focus on mentorship and professional development. A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. The ability to foster an inclusive environment that values diverse perspectives and empowers team members. Building and Managing Relationships Client Trust and Value and Commercial Astuteness Communicating With Impact and Digital Fluency What we look for We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role. FY26NATAID What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** . #J-18808-Ljbffr
$112k-156k yearly est. 5d ago

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Data Scientist
Gartner 4.7
Data engineer job in Stamford, CT
About this role In Gartner's Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are searching for a talented data scientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team. What you'll do * Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow. * Using advanced Generative AI techniques deriving actionable insights from unstructured text data, such as call transcripts and emails. * Predicting client interest basis their digital footprint and making relevant recommendations to drive higher client value delivery * Leverage statistical and machine learning techniques to extract actionable insights from client retention data. * Develop customer churn prediction models that proactively identify at-risk clients, * Build tools to process structured and unstructured data * Engineering features and signals to train ML model from diverse data collection What you'll need * BS required/ MS/ preferred; in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus) * 4 years' experience in data science methodologies as applied to live initiatives or software development// Experience working with Gen AI projects * Minimum 4+ years of experience in python coding and statistical analysis * Minimum 2 years working experience in several of the following: o Prompt Engineering and working with LLMs o Machine Learning and statistical techniques o Data mining and recommendation systems o Natural Language Processing and Information Retrieval o Experience working with large volumes of data o User behavior modeling Who you are * A team player. You get along well with your colleagues and are always ready to help get things done. You enjoy working on projects with multiple people and share knowledge. * Passionate about learning. You thrive on complex technical challenges and are always eager to learn the latest technologies. * Organized and detailed-oriented. You think ahead of time about how best to implement new features, and your code is clean, well-organized and properly documented. * Innovative. You are always proactively looking for opportunities to problem solve using innovative methods that impact the business What we offer * A collaborative, positive culture. You'll work with people who are as enthusiastic, smart and driven as you are. You'll be managed by the best too. * Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization. About Gartner: Gartner, Inc. (NYSE: IT) is the world's leading information technology research and advisory company. We deliver the technology-related insight necessary for our clients to make the right decisions, every day. We work with every client to research, analyze and interpret the business of IT within the context of their individual role. Founded in 1979, Gartner is headquartered in Stamford, Connecticut, U.S.A - Visit gartner.com to learn more. Diversity, inclusion and engagement at Gartner: The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, caste, creed, religion, sex, sexual orientation, gender identity or expression, marital status, citizenship status, age, national origin, ancestry, disability, or any other characteristic protected by applicable law. Gartner affirmatively seeks to advance the principles of equal employment opportunity and values diversity and inclusion. Gartner is an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified applicant with a disability and unable to or limited in your ability to use or access the Gartner's career webpage as a result of your disability, you may request reasonable accommodations by calling Human Resources at or by sending an email to #LI-Hybrid #LI-GV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 98,000 USD - 133,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at or by sending an email . Job Requisition ID:106172 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.
$78k-103k yearly est. 2d ago
Data Scientist - Analytics roles draw analytical talent hunting for roles.
Boxncase
Data engineer job in Commack, NY
About the Role We believe that the best decisions are backed by data. We are seeking a curious and analytical Data Scientist to champion our data -driven culture. In this role, you will act as a bridge between technical data and business strategy. You will mine massive datasets, build predictive models, and-most importantly-tell the story behind the numbers to help our leadership team make smarter choices. You are perfect for this role if you are as comfortable with SQL queries as you are with slide decks. ### What You Will Do Exploratory Analysis: Dive deep into raw data to discover trends, patterns, and anomalies that others miss. Predictive Modeling: Build and test statistical models (Regression, Time -series, Clustering) to forecast business outcomes and customer behavior. Data Visualization: Create clear, impactful dashboards using Tableau, PowerBI, or Python libraries (Matplotlib/Seaborn) to visualize success metrics. Experimentation: Design and analyze A/B tests to optimize product features and marketing campaigns. Data Cleaning: Work with Data Engineers to clean and structure messy data for analysis. Strategy: Present findings to stakeholders, translating complex math into clear, actionable business recommendations. Requirements Experience: 2+ years of experience in Data Science or Advanced Analytics. The Toolkit: Expert proficiency in Python or R for statistical analysis. Data Querying: Advanced SQL skills are non -negotiable (Joins, Window Functions, CTEs). Math Mindset: Strong grasp of statistics (Hypothesis testing, distributions, probability). Visualization: Ability to communicate data visually using Tableau, PowerBI, or Looker. Communication: Excellent verbal and written skills; you can explain a p -value to a non -technical manager. ### Preferred Tech Stack (Keywords) Languages: Python (Pandas, NumPy), R, SQL Viz Tools: Tableau, PowerBI, Looker, Plotly Machine Learning: Scikit -learn, XGBoost (applied to business problems) Big Data: Spark, Hadoop, Snowflake Benefits Salary Range: $50,000 - $180,000 USD / year (Commensurate with location and experience) Remote Friendly: Work from where you are most productive. Learning Budget: Stipend for data courses (Coursera, DataCamp) and books.
$50k-180k yearly 35d ago
Principal Data Scientist
Maximus 4.3
Data engineer job in Bridgeport, CT
Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. U.S. citizenship is required for this position due to government contract requirements. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage #LI-Remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00
$77k-112k yearly est. Easy Apply 2d ago
Data Engineer w AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake
Intermedia Group
Data engineer job in Ridgefield, CT
OPEN JOB: Data Engineer w AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake **HYBRID - This candidate will work on site 2-3X per week in Ridgefield CT location SALARY: $140,000 to $185,000 2 Openings NOTE: CANDIDATE MUST BE US CITIZEN OR GREEN CARD HOLDER We are seeking a highly skilled and experienced Data Engineer to design, build, and maintain our scalable and robust data infrastructure on a cloud platform. In this pivotal role, you will be instrumental in enhancing our data infrastructure, optimizing data flow, and ensuring data availability. You will be responsible for both the hands-on implementation of data pipelines and the strategic design of our overall data architecture. Seeking a candidate with hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake, Proficiency in Python and SQL and DevOps/CI/CD experience Duties & Responsibilities Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics. Collaborate with data architects, modelers and IT team members to help define and evolve the overall cloud-based data architecture strategy, including data warehousing, data lakes, streaming analytics, and data governance frameworks Collaborate with data scientists, analysts, and other business stakeholders to understand data requirements and deliver solutions. Optimize and manage data storage solutions (e.g., S3, Snowflake, Redshift) ensuring data quality, integrity, security, and accessibility. Implement data quality and validation processes to ensure data accuracy and reliability. Develop and maintain documentation for data processes, architecture, and workflows. Monitor and troubleshoot data pipeline performance and resolve issues promptly. Consulting and Analysis: Meet regularly with defined clients and stakeholders to understand and analyze their processes and needs. Determine requirements to present possible solutions or improvements. Technology Evaluation: Stay updated with the latest industry trends and technologies to continuously improve data engineering practices. Requirements Cloud Expertise: Expert-level proficiency in at least one major cloud platform (AWS, Azure, or GCP) with extensive experience in their respective data services (e.g., AWS S3, Glue, Lambda, Redshift, Kinesis; Azure Data Lake, Data Factory, Synapse, Event Hubs; GCP BigQuery, Dataflow, Pub/Sub, Cloud Storage); experience with AWS data cloud platform preferred SQL Mastery: Advanced SQL writing and optimization skills. Data Warehousing: Deep understanding of data warehousing concepts, Kimball methodology, and various data modeling techniques (dimensional, star/snowflake schemas). Big Data Technologies: Experience with big data processing frameworks (e.g., Spark, Hadoop, Flink) is a plus. Database Systems: Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra). DevOps/CI/CD: Familiarity with DevOps principles and CI/CD pipelines for data solutions. Hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake Formation Proficiency in Python and SQL Desired Skills, Experience and Abilities 4+ years of progressive experience in data engineering, with a significant portion dedicated to cloud-based data platforms. ETL/ELT Tools: Hands-on experience with ETL/ELT tools and orchestrators (e.g., Apache Airflow, Azure Data Factory, AWS Glue, dbt). Data Governance: Understanding of data governance, data quality, and metadata management principles. AWS Experience: Ability to evaluate AWS cloud applications, make architecture recommendations; AWS solutions architect certification (Associate or Professional) is a plus Familiarity with Snowflake Knowledge of dbt (data build tool) Strong problem-solving skills, especially in data pipeline troubleshooting and optimization If you are interested in pursuing this opportunity, please respond back and include the following: Full CURRENT Resume Required compensation Contact information Availability Upon receipt, one of our managers will contact you to discuss in full STEPHEN FLEISCHNER Recruiting Manager INTERMEDIA GROUP, INC. EMAIL: *******************************
$140k-185k yearly Easy Apply 60d+ ago
ETL/Data Platform Engineer
Clarapath
Data engineer job in Hawthorne, NY
JOB TITLE: ETL/Data Platform Engineer TYPE: Full time, regular COMPENSATION: $130,000 - $180,000/yr Clarapath is a medical robotics company based in Westchester County, NY. Our mission is to transform and modernize laboratory workflows with the goal of improving patient care, decreasing costs, and enhancing the quality and consistency of laboratory processes. SectionStar by Clarapath is a ground-breaking electro-mechanical system designed to elevate and automate the workflow in histology laboratories and provide pathologists with the tissue samples they need to make the most accurate diagnoses. Through the use of innovative technology, data, and precision analytics, Clarapath is paving the way for a new era of laboratory medicine. Role Summary: The ETL/Data Platform Engineer will play a key role in designing, building, and maintaining Clarapath s data pipelines and platform infrastructure supporting SectionStar , our advanced electro-mechanical device. This role requires a strong foundation in data engineering, including ETL/ELT development, data modeling, and scalable data platform design. Working closely with cross-functional teams including software, firmware, systems, and mechanical engineering this individual will enable reliable ingestion, transformation, and storage of device and operational data. The engineer will help power analytics, system monitoring, diagnostics, and long-term insights that support product performance, quality, and continuous improvement. We are seeking a proactive, detail-oriented engineer who thrives in a fast-paced, rapidly growing environment and is excited to apply data engineering best practices to complex, data-driven challenges in a regulated medical technology setting. Responsibilities: Design, develop, and maintain robust ETL/ELT pipelines for device, telemetry, and operational data Build and optimize data models to support analytics, reporting, and system insights Develop and maintain scalable data platform infrastructure (cloud and/or on-prem) Ensure data quality, reliability, observability, and performance across pipelines Support real-time or near real-time data ingestion where applicable Collaborate with firmware and software teams to integrate device-generated data Enable dashboards, analytics, and internal tools for engineering, quality, and operations teams Implement best practices for data security, access control, and compliance Troubleshoot pipeline failures and improve system resilience Document data workflows, schemas, and platform architecture Qualifications: Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience) 3+ years of experience in data engineering, ETL development, or data platform roles Strong proficiency in SQL and at least one programming language (Python preferred) Experience building and maintaining ETL/ELT pipelines Familiarity with data modeling concepts and schema design Experience with cloud platforms (AWS, GCP, or Azure) or hybrid environments Understanding of data reliability, monitoring, and pipeline orchestration Strong problem-solving skills and attention to detail Experience with streaming data or message-based systems (ex: Kafka, MQTT), a plus Experience working with IoT, device, or telemetry data, a plus Familiarity with data warehouses and analytics platforms, a plus Experience in regulated environments (medical device, healthcare, life sciences), a plus Exposure to DevOps practices, CI/CD, or infrastructure-as-code, a plus Company Offers: Competitive salary, commensurate with experience and education Comprehensive benefits package available: (healthcare, vision, dental and life insurances; 401k; PTO and holidays) A collaborative and diverse work environment where our teams thrive on solving complex challenges Ability to file IP with the company Connections with world class researchers and their laboratories Collaboration with strategic leaders in healthcare and pharmaceutical world A mission driven organization where every team member will be responsible for changing the standards of delivering healthcare Clarapath is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. In addition to federal law requirements, Clarapath complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
$130k-180k yearly 7d ago
Hadoop Developer
Roljobs Technology Services
Data engineer job in Lake Success, NY
A big opportunity! Great pay! Love Hadoop? Do you have it in you to become a mentor? Then, my client requires YOUR mojo with them. This is an excellent opportunity for those aspiring for a growth oriented company. You will be the first person to work on Hadoop in their New York office. You will be responsible for starting and educating new team members on Hadoop technologies, with a combination of hands on and training responsibilities. Interesting?? Scroll down for more.. Job Description Not an exhaustive set of responsibilities, but an overview: You will be responsible for Architect, design and develop code that consistently adheres to functional programming principles. You will design, develop, and maintain high volume data processing batch/streaming jobs using industry standard tools and frameworks in Hadoop ecosystem. You will help my client continue as an industry leader by exploring new technologies,languages and techniques in the rapidly evolving world of high volume data processing. You will collaborate with team members using Agile techniques, including: pair programming, test driven development (TDD), code reviews, and retrospectives. If this has piqued your curiosity, please check if YOU have the following: Experience in Hadoop Ecosystems (MapReduce/Spark/Hive/Oozie/scoop etc...) Development experience in one of the following - Java, Python OR Scala. Capable of working with and influencing large, diverse teams. Experience working with large data sets and high volume data processing. Here's what we can offer: A competitive Base Salary of $140K with a Bonus of up to $10K and Benefits. Note: We are looking for local candidates. Additional Information All your information will be kept confidential according to EEO guidelines. Ping me at ******************** to know more.
$140k yearly Easy Apply 60d+ ago
Data Engineer I
Epicured, Inc.
Data engineer job in Glen Cove, NY
Job DescriptionWhy Epicured? Epicured is on a mission to combat and prevent chronic disease, translating scientific research into high-quality food products and healthcare services nationwide. Our evidence-based approach brings together the best of the clinical, culinary, and technology worlds to help people eat better, feel better, and live better one meal at a time. By joining Epicured's Technology team, you'll help power the data infrastructure that supports Medicaid programs, clinical services, life sciences initiatives, and direct-to-consumer operations - enabling better decisions, better outcomes, and scalable growth. Role Overview Epicured is seeking a Data Engineer I to support data ingestion, reporting, and analytics across multiple business lines. Reporting to the SVP of Software Engineering, this role will focus on building and maintaining reliable reporting pipelines, supporting business requests, and managing data from a growing ecosystem of healthcare, operational, and e-commerce systems. This position is ideal for a self-starter with strong SQL skills who is comfortable working with evolving requirements, healthcare-adjacent data, and modern data platforms such as Microsoft Fabric and Power BI. Key Responsibilities Build, maintain, and support reports across all Epicured business lines using Power BI, exports, and Microsoft Fabric. Ingest and integrate new data sources, including SQL Server, operational systems, and external data exchanges. Support reporting and analytics requests across Clinical & Life Sciences, Section 1115 Medicaid Waiver programs, Health Information Exchanges (e.g., Healthix), and Self-Pay e-commerce operations. Handle HIPAA-sensitive data, ensuring proper governance, access control, and compliance standards are maintained. Manage Shopify and other e-commerce data requests for Epicured's Self-Pay division. Keep reporting environments organized, documented, and operational while prioritizing incoming requests. Operate and help scale Epicured's Microsoft Fabric environment, contributing to platform strategy and best practices. Partner with stakeholders to clarify ambiguous requirements and translate business questions into data solutions. Qualifications 3+ years of experience in data engineering, analytics, or business intelligence roles. Strong SQL skills with experience working in relational databases. Experience with Azure, Microsoft Fabric, Power BI, or similar modern data platforms. Strong proficiency in Excel / Google Sheets. Ability to work independently and manage multiple priorities in a fast-growing environment. Experience working with healthcare or HIPAA-adjacent data, including exposure to health information exchanges. Familiarity with ETL / ELT pipelines and data modeling best practices. Experience integrating operational, financial, logistics, and clinical datasets. Preferred Qualifications Experience with C#. Python experience is a plus. Healthcare or life sciences background. Experience supporting analytics for Medicaid, payer, or regulated environments. Compensation & Benefits Salary Range: $115,000-$130,000 annually, commensurate with experience Benefits include: 401(k) Health, Dental, and Vision insurance Unlimited Paid Time Off (PTO) Opportunity to grow with Epicured's expanding data and technology organization Equal Employment Opportunity Epicured is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of age, race, creed, color, national origin, religion, gender, sexual orientation, gender identity or expression, disability, veteran status, or any other protected status under federal, state, or local law.
$115k-130k yearly 15d ago
Data Engineer (AI, ML, and Data Science)
Consumer Reports
Data engineer job in Yonkers, NY
WHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW Data powers everything we do at CR-and it's the foundation for our AI and machine learning efforts that are transforming how we serve consumers. The Data Engineer ( AI/ML & Data Science) will play a critical role in building the data infrastructure that powers advanced AI applications, machine learning models, and analytics systems across CR. Reporting to the Associate Director, AI/M & Data Science, in this role, you will design and maintain robust data pipelines and services that support experimentation, model training, and AI application deployment. If you're passionate about solving complex data challenges, working with cutting-edge AI technologies, and enabling impactful, data-driven products that support CR's mission, this is the role for you. This is a hybrid position. This position is not eligible for sponsorship or relocation assistance. How You'll Make An Impact As a mission based organization, CR and our Software team are pursuing an AI strategy that will drive value for our customers, give our employees superpowers, and address AI harms in the digital marketplace. We're looking for an AI/ML engineer to help us execute on our multi-year roadmap around generative AI. As a Data Engineer ( AI/M & Data Science) you will: Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data to support AI/ML model and application development, evaluation, and monitoring. Build and optimize data processing workflows in Databricks, AWS SageMaker, or similar cloud platforms. Collaborate with AI/ML engineers to deliver clean, reliable datasets for model training and inference. Implement data quality, observability, and lineage tracking within the ML lifecycle. Develop Data APIs/microservices to power AI applications and reporting/analytics dashboards. Support the deployment of AI/ML applications by building and maintaining feature stores and data pipelines optimized for production workloads. Ensure adherence to CR's data governance, security, and compliance standards across all AI and data workflows. Work with Product, Engineering and other stakeholders to define project requirements and deliverables. Integrate data from multiple internal and external systems, including APIs, third-party datasets, and cloud storage. ABOUT YOU You'll Be Highly Rated If: You have the experience. You have 3+ years of experience designing and developing data pipelines, data models/schemas, APIs, or services for analytics or ML workloads. You have the education. You've earned a Bachelor's degree in Computer Science, Engineering, or a related field. You have programming skills. You are skilled in Python, SQL, and have experience with PySpark on large-scale datasets. You have experience with data orchestration tools such as Airflow, dbt and Prefect, plus CI/CD pipelines for data delivery. You have experience with Data and AI/ML platforms such as Databricks, AWS SageMaker or similar. You have experience working with Kubernetes on cloud platforms like - AWS, GCP, or Azure. You'll Be One of Our Top Picks If: You are passionate about automation and continuous improvement. You have excellent documentation and technical communication skills. You are an analytical thinker with troubleshooting abilities. You are self-driven and proactive in solving infrastructure bottlenecks. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$120K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate's particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges NY/California: $120K-$140K annually DMV/Massachusetts: $115K-$135K annually Colchester, CT and additional approved CR locations: $100K-$120K annually Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.
$120k-140k yearly Auto-Apply 48d ago
Data Engineer
Orion Innovation 3.7
Data engineer job in Montvale, NJ
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Role Overview We're seeking Financial Statement Data Developers/Engineers to support client engagements. You'll work with modern data tooling to transform accounting trial balance data into accurate Income Statements and Balance Sheets. This role blends data engineering, financial data transformation, and client-facing consulting. Key Responsibilities Ingest & transform trial balance data from various sources (CSV, Excel, ERP extract, database). Apply chart of accounts mappings, including entity-specific variations. Utilize purpose-built applications to aggregate outputs into Income Statement & Balance Sheet formats. Build repeatable Alteryx workflows, SQL transformations, and Python scripts for automation. Perform data reconciliation, tie‑outs, variance checks, and data quality controls across entities and periods. Required Technical Skills Strong proficiency in SQL, Python and Alteryx. Hands-on experience in accounting database development, data engineering and analytics Accounting fundamentals: trial balance, chart of accounts, journal entries, Income Statement & Balance Sheet. Experience converting ledger-level data into financial statements and performing reconciliations. Strong communication skills and client-facing experience; ability to work onsite when required. Experience with cloud environments (Azure). Qualifications & Experience Education: Bachelor's degree in Computer Science, Accounting or a related field (or equivalent experience). Experience: 8+ years of hands-on experience with database development and scripting Preferred nice-to-have skills Exposure to M&A/Deal Advisory workflows: multi-entity consolidation, intercompany eliminations, pro forma reporting. Proficiency with Power BI reporting and validation dashboards. ERP familiarity (e.g., SAP, Oracle). Big-4 or top tier Professional Services experience is a plus. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains: What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
$93k-133k yearly est. Auto-Apply 8d ago
Hadoop Developer - II
Workila
Data engineer job in Lake Success, NY
The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Workila, and make delivering innovative work part of your extraordinary career. Job Description MUST-HAVES Development exp in Hadoop Ecosystems (MapReduce/Spark/Hive/Oozie/Sqoop etc) Development experience in one of the following - Java, Python OR Scala Capable of working with and influencing large diverse teams. Provide example 7+ yr overall development experience (2+ in Hadoop min.) Effective communication and proven leadership/mentoring experience NICE-TO-HAVES Have worked with large datasets and high volume data processing ROLE DESCRIPTION DESCRIPTION OF DUTIES The Hadoop Developer will be responsible to Architect, design and develop code that consistently adheres to functional programming principles. The successful candidate will also have a balance of hands on work with training and mentoring of a team. They will also be an effective communicator. Other responsibilities include: Design, develop, and maintain high volume data processing batch/streaming jobs using industry standard tools and frameworks in Hadoop ecosystem. Maintain our position as industry leader by exploring new technologies,languages and techniques in the rapidly evolving world of high volume data processing. Collaborate with team members using Agile techniques, including: pair programming, test driven development (TDD), code reviews, and retrospectives. CULTURE AND PERKS The Hadoop Developer will be the first person to work on Hadoop in our Lake Success Office. They will be responsible for starting and educating new team members on Hadoop technologies, with a combination of hands on and training responsibilities. Our company is a dynamic, innovative technology company that revolutionized the automotive retail industry with the first online finance and credit application network in 2001. Our state-of-the-art, web-based solutions are embraced by all major segments of the automotive retailing trade including dealers, financing sources, original equipment manufacturers (OEMs), third-party retailers, agents and aftermarket providers, fueling our tremendous growth. We have location-specific programs and amenities that keep team members energized, engaged and doing great work, including: Health club partial reimbursement Options for discounts on car purchases with our vendor partners Local business partnership programs Volunteer Paid time Massages Company Picnic Company Party Hackathons Holiday-inspired Company days Shuttle Service to and from LIRR station to our building in Lake Success, NY MORE INFORMATION Full-time Mid-Level Computer Software SALARY RANGE $110,000 - $130,000 PERFORMANCE BONUS $0 - $10,000, Bonus Plan SIGNING BONUS None BENEFITS Medical Ins. Dental Ins. Other OPEN UNTIL (MAY 24) RELOCATION Not offered DIRECT REPORTS Zero REPORTS TO Director of Business Intelligence REMOTE WORK Remote work not available TRAVEL Travel not required VISA Candidate visas are supported Additional Information Apply online by clicking on green label "I am Interested" or call if you have any question however applying online is the best way to apply. US # ************ India # 9999 883 470
$110k-130k yearly 60d+ ago
Data Engineer
Innovative Rocket Technologies Inc. 4.3
Data engineer job in Hauppauge, NY
Job Description Data is pivotal to our goal of frequent launch and rapid iteration. We're recruiting a Data Engineer at iRocket to build pipelines, analytics, and tools that support propulsion test, launch operations, manufacturing, and vehicle performance. The Role Design and build data pipelines for test stands, manufacturing machines, launch telemetry, and operations systems. Develop dashboards, real-time monitoring, data-driven anomaly detection, performance trending, and predictive maintenance tools. Work with engineers across propulsion, manufacturing, and operations to translate data-needs into data-products. Maintain data architecture, ETL processes, cloud/edge-data systems, and analytics tooling. Support A/B testing, performance metrics, and feed insights back into design/manufacturing cycles. Requirements Bachelor's degree in Computer Science, Data Engineering, or related technical field. 2+ years of experience building data pipelines, ETL/ELT workflows, and analytics systems. Proficient in Python, SQL, cloud data platforms (AWS, GCP, Azure), streaming/real-time analytics, and dashboarding (e.g., Tableau, PowerBI). Strong ability to work cross-functionally and deliver data-products to engineering and operations teams. Strong communication, documentation, and a curiosity-driven mindset. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Wellness Resources
$102k-146k yearly est. 5d ago
Director, ERM - Actuary or Data Scientist
Berkley 4.3
Data engineer job in Greenwich, CT
Company Details "Our Company provides a state of predictability which allows brokers and agents to act with confidence." Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States. Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion. Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth. The Company is an equal employment opportunity employer. Responsibilities *Please provide a one-page resume when applying. Enterprise Risk Management (ERM) Team Our key risk management aim is to maximize Berkley's return on capital over the long term for an acceptable level of risk. This requires regular interaction with senior management both in corporate and our business units. The ERM team comprises ERM actuaries and catastrophe modelers responsible for identification, quantification and reporting on insurance, investment, credit and operational risks. The ERM team is a corporate function at Berkley's headquarters in Greenwich, CT. The Role The successful candidate will collaborate with other ERM team members on a variety of projects with a focus on exposure management and catastrophe modeling for casualty (re)insurance. The candidate is expected to demonstrate expertise in data and analytics and be capable of presenting data-driven insights to senior executives. Key responsibilities include: Casualty Accumulation and Catastrophe Modeling • Lead the continuous enhancement of the casualty data ETL process • Analyze and visualize casualty accumulations by insureds, lines and industries to generate actionable insight for business leaders • Collaborate with data engineers to resolve complex data challenges and implement scalable solutions • Support the development of casualty catastrophe scenarios by researching historical events and emerging risks • Model complex casualty reinsurance protections Risk Process Automation and Group Reporting • Lead AI-driven initiatives aimed at automating key risk processes and projects • Contribute to Group-level ERM reports, including deliverables to senior executives, rating agencies and regulators Qualifications • Minimum of 5 years of experience in P&C (re)insurance, with a focus on casualty • Proficiency in R/Python and Excel • Strong verbal and written communication skills • Proven ability to manage multiple projects and meet deadlines in a dynamic environment Education Requirement • Minimum of Bachelor's degree required (preferably in STEM) • ACAS/FCAS is a plus Sponsorship Details Sponsorship Offered for this Role
$74k-101k yearly est. Auto-Apply 60d+ ago
Onsite Data Engineer Miami
It Search Corp
Data engineer job in Norwood, NJ
Benefits: 401(k) matching Bonus based on performance Dental insurance Health insurance Data Engineer Onsite Miami, Fl $130150K base , 10% bonus We are seeking an experienced Senior Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production. Primary Responsibilities/Essential Functions This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business. Qualifications Required: Bachelors or Masters degree in Computer Science, Data Engineering, or a related field. 5+ years of experience as a Data Engineer with expertise in building large-scale data solutions. Proficiency in Python, SQL, and scripting languages (Bash, PowerShell). Deep understanding of big data tools (Hadoop, Spark) and ETL processes. Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake). Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization. Experience designing and managing data warehouses for performance and scalability. Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing. Preferred Strong experience in software architecture, design patterns, and code optimization. Expertise in Python-based pipelines and ETL frameworks. Experience with Azure Data Services and Databricks. Excellent problem-solving, analytical, and communication skills. Experience working in agile environments and collaborating with diverse teams.
$82k-112k yearly est. 13d ago
Senior Market Data Engineer
Worldquant 4.6
Data engineer job in Old Greenwich, CT
WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: * Design and build real-time market data processing systems covering global markets and multiple asset classes * Architect and implement high-performance software solutions for processing market data feeds at scale * Drive technical innovation by leveraging emerging technologies to enhance system telemetry, monitoring, and operational efficiency * Provide technical leadership and escalation support for production market data systems * Analyze system performance and design data-driven approaches to optimize market data processing workflows * Lead the design of data governance systems for tracking availability, access patterns, and usage metrics What You Will Bring: * Degree in a quantitative or technical discipline from top university and strong academic scores * Expert-level C++ proficiency with demonstrated experience in other object-oriented languages (Java, C#) * Experience with scripting languages such as Perl, Python, and shell scripting for automation and data processing * Deep experience with tick-by-tick market data processing, including data normalization, feed handling, and real-time analytic * Excellent communication skills with ability to collaborate effectively across technical and business teams * Have experience working under Linux environment Our Benefits: * Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of: * twenty vacation days that are pro-rated based on the employee's start date, at an accrual of 1.67 days per month, * three personal days, and * ten sick days. * Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code * Training: learning and development courses, speakers, team-building off-site * Employee resource groups Pay Transparency: WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations. When finalizing an offer, we will take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is $175,000 - $250,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws. If you believe any required details are missing from this job posting, please notify us at [email protected], and we will address your concerns promptly. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
$175k-250k yearly 60d+ ago
Tech Lead, Data & Inference Engineer
Catalyst Labs
Data engineer job in Stamford, CT
Our Client A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use. Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems. Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions. Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops. Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making. Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally. Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases. Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization. Qualifications Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics. Excellent written and verbal communication; proactive and collaborative mindset. Comfortable in hybrid or distributed environments with strong ownership and accountability. A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes. Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly. Core Experience 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design. Expert SQL (query optimization on large datasets) and Python skills. Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect). Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Bonus: Strong Node.js skills for faster onboarding and system integration. Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.
$84k-114k yearly est. 60d+ ago
Network Planning Data Scientist (Manager)
Atlas Air Worldwide Holdings 4.9
Data engineer job in White Plains, NY
Atlas Air is seeking a detail-oriented and analytical Network Planning Analyst to help optimize our global cargo network. This role plays a critical part in the 2-year to 11-day planning window, driving insights that enable operational teams to execute the most efficient and reliable schedules. The successful candidate will provide actionable analysis on network delays, utilization trends, and operating performance, build models and reports to govern network operating parameters, and contribute to the development and implementation of software optimization tools that improve reliability and streamline planning processes. This position requires strong analytical skills, a proactive approach to problem-solving, and the ability to translate data into operational strategies that protect service quality and maximize network efficiency. Responsibilities Analyze and Monitor Network Performance Track and assess network delays, capacity utilization, and operating constraints to identify opportunities for efficiency gains and reliability improvements. Develop and maintain key performance indicators (KPIs) for network operations and planning effectiveness. Modeling & Optimization Build and maintain predictive models to assess scheduling scenarios and network performance under varying conditions. Support the design, testing, and implementation of software optimization tools to enhance operational decision-making. Reporting & Governance Develop periodic performance and reliability reports for customers, assisting in presentation creation Produce regular and ad hoc reports to monitor compliance with established operating parameters. Establish data-driven processes to govern scheduling rules, protect operational integrity, and ensure alignment with reliability targets. Cross-Functional Collaboration Partner with Operations, Planning, and Technology teams to integrate analytics into network planning and execution. Provide insights that inform schedule adjustments, fleet utilization, and contingency planning. Innovation & Continuous Improvement Identify opportunities to streamline workflows and automate recurring analyses. Contributes to the development of new planning methodologies and tools that enhance decision-making and operational agility. Qualifications Proficiency in SQL (Python and R are a plus) for data extraction and analysis; experience building decision-support tools, reporting tools dashboards (e.g., Tableau, Power BI) Bachelor's degree required in Industrial Engineering, Operations Research, Applied Mathematics, Data Science or related quantitative discipline or equivalent work experience. 5+ years of experience in strategy, operations planning, finance or continuous improvement, ideally with airline network planning Strong analytical skills with experience in statistical analysis, modeling, and scenario evaluation. Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment. Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders. A proactive, solution-focused mindset with a passion for operational excellence and continuous improvement. Knowledge of operations, scheduling, and capacity planning, ideally in airlines, transportation or other complex network operations Salary Range: $131,500 - $177,500 Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset. The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at ****************************************** To view our Pay Transparency Statement, please click here: Pay Transparency Statement “Know Your Rights: Workplace Discrimination is Illegal” Poster The "EEO Is The Law" Poster
$131.5k-177.5k yearly Auto-Apply 60d+ ago
C++ Market Data Engineer (USA)
Trexquant 4.0
Data engineer job in Stamford, CT
Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a C++ Market Data Engineer to design and build ultra-low-latency feed handlers for premier vendor feeds and major exchange multicast feeds. This is a high-impact role that sits at the heart of Trexquant's trading platform; the quality, speed, and reliability of your code directly influence every strategy we run. Responsibilities * Design & implement high-performance feed handlers in modern C++ for equities, futures, and options across global venues (e.g., NYSE, CME, Refinitiv RTS, Bloomberg B-PIPE). * Optimize for micro- and nanosecond latency using lock-free data structures, cache-friendly memory layouts, and kernel-bypass networking where appropriate. * Build reusable libraries for message decoding, normalization, and publication to internal buses shared by research, simulation, and live trading systems. * Collaborate with cross-functional teams to tune TCP/UDP multicast stacks, kernel parameters, and NIC settings for deterministic performance. * Provide robust failover, gap-recovery, and replay mechanisms to guarantee data integrity under packet loss or venue outages. * Instrument code paths with precision timestamping and performance metrics; drive continuous latency regression testing and capacity planning. * Partner closely with quantitative researchers to understand downstream data requirements and to fine-tune delivery formats for both simulation and live trading. * Produce clear architecture documents, operational run-books, and post-mortems; participate in a 24×7 follow-the-sun support rotation for mission-critical market-data services.
$95k-136k yearly est. 3d ago
Marketing Data Architect
Mindlance 4.6
Data engineer job in Englewood Cliffs, NJ
Job Title: Marketing Data Architect Duration: 6 Months Responsibilities: Responsibilities of the Marketing Data Architect will include, but are not limited to: Manage email database, implementation, and usage. Analyze and resolve discrepancies in email delivery data and user data. Primary point-of-contact with external ESP, leading any necessary support calls and RFP's. Evaluate new email/data partnerships including technology, sources, and solutions to help drive the email business. Troubleshoot all email issues including templates, programs, API, and list segmentation. Qualifications/Requirements Experience working with Exact Target Experience working with AMPscript SQL 3+ years of experience in email marketing, publishing experience preferred Strong technical understanding of marketing and email technologies and tools Strong communication and presentation skills, written and verbal. Ability to translate technical requirements into logical strategy. Advanced MS Excel (Lookups, Pivot Tables, Charts/Graphs, Complex Formulas, Macros) Must have unrestricted work authorization to work in the United States Bachelor's Degree Desired Characteristics Strong Email HTML/CSS coding knowledge Knowledge of email best practices, CAN-SPAM Process-oriented and able to apply structure to complex problems Experience with Adobe Analytics (Omniture), Piano (Tinypass) Experience in data analysis, data science Additional Information Thanks & Regards' ________________________________________________________________________ ___ Vikram Bhalla | Team Recruitment | Mindlance, Inc. | W : ************ All your information will be kept confidential according to EEO guidelines.
$99k-135k yearly est. 3d ago
Senior Data Architect - Power & Utilities AI Platforms
Ernst & Young Oman 4.7
Data engineer job in Stamford, CT
A leading global consulting firm is seeking a Senior Manager in Data Architecture for the Power & Utilities sector. This role requires at least 12 years of consulting experience and expertise in data architecture and engineering. The successful candidate will manage technology projects, lead teams, and develop innovative data solutions that drive significant business outcomes. Strong relationship management and communication skills are essential for engaging with clients and stakeholders. Join us to help shape a better working world. #J-18808-Ljbffr
$112k-156k yearly est. 5d ago

Learn more about data engineer jobs

How much does a data engineer earn in Stamford, CT?

The average data engineer in Stamford, CT earns between $73,000 and $131,000 annually. This compares to the national average data engineer range of $80,000 to $149,000.

Average data engineer salary in Stamford, CT

$98,000

$73,00010%

$98,000Median

$131,00090%

What are the biggest employers of Data Engineers in Stamford, CT?

The biggest employers of Data Engineers in Stamford, CT are:

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Data engineer jobs in Stamford, CT - 355 jobs

Data Architect - Power & Utilities - Senior Manager- Consulting - Location OPEN

Data Scientist

Data Scientist - Analytics roles draw analytical talent hunting for roles.

Principal Data Scientist

Data Engineer w AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake

ETL/Data Platform Engineer

Hadoop Developer

Data Engineer I

Data Engineer (AI, ML, and Data Science)

Data Engineer

Hadoop Developer - II

Data Engineer

Director, ERM - Actuary or Data Scientist

Onsite Data Engineer Miami

Senior Market Data Engineer

Tech Lead, Data & Inference Engineer

Network Planning Data Scientist (Manager)

C++ Market Data Engineer (USA)

Marketing Data Architect

Senior Data Architect - Power & Utilities AI Platforms

Learn more about data engineer jobs

How much does a data engineer earn in Stamford, CT?

What are the biggest employers of Data Engineers in Stamford, CT?