The IT Associate Data Engineer will develop, implement, and maintain enhancements to core data warehouse applications as requested by our business partners. The incumbent will develop and maintain ETL pipelines required to populate dimensional data models. This individual will also utilize Azure cloud-based services to research and respond to complex data inquiries and adhoc data analysis as requested. The Associate Data Engineer will triage and resolve issues across all areas of Eversource's Enterprise data platform solutions. Essential Functions: <ul><li>Understanding code development that is compliant and meets high standards/quality, delivers desired functionality using cutting edge technology.</li><li>Taking ownership of delegated tasks and helping other team members.</li><li>Design Data mappings and contribute to Data catalogs.</li><li>Hands on experience in designing and building data pipelines for ETL related jobs.</li><li>Work in a team to ensure that all components meet objectives and performance goals as defined in the requirements.</li><li>A drive to learn and master new technologies.</li><li>Understanding of Continuous Integration and Deployment (CI/CD) pipelines and experience with tools like Git, Jenkins, or Bamboo for version control, automated testing, and deployment.</li><li>Experience of building data processing pipelines for use in production "hands off" batch systems, including either traditional ETL pipelines and/or analytics pipelines.</li><li>Experience working in a fast-paced environment.</li><li>Ability to quickly adapt to changing priorities.</li></ul> Technical Knowledge/Skill/Education/Licenses/Certifications: Technical Knowledge/Skill: Azure Ecosystem, ETL, Hands-on experience with technologies such as Azure, Informatica Education: Bachelor or Master's degree in a related field. Computer Science preferred. Experience: 0-3 years related experience Licenses & Certifications: Any Cloud certification preferred. Working Conditions: <ul><li>Must be available to work emergency restoration assignment as required.</li><li>Must be available to travel between MA/CT/NH as necessary.</li></ul> Mental Aspects: Leadership Behaviors/Competencies: Set and Communicate Direction and Priorities <ul><li>Know the business plan and how your role connects to it</li><li>Identify problems, issues; take responsibility for resolution</li><li>Set high standards for self; deliver quality performance</li><li>Raise ideas for improvement</li><li>Communicate, communicate, communicate</li></ul> Build Trusting Relationships <ul><li>Follow through on commitments made to manager, colleagues, and customers.</li><li>Address difficult or controversial issues and encourage others to do the same.</li><li>Have honest dialogue with others</li></ul> Manage and Develop People <ul><li>Set performance goals that align with department and company goals</li><li>Meet regularly with your supervisor/manager to discuss your performance</li><li>Seek opportunities to develop skills and gain knowledge through on the job opportunities, i.e. working on projects, attending meetings, etc.</li></ul> Foster Teamwork and Cross-functional Collaboration <ul><li>Work collaboratively within and across the organization to achieve "One Company" and other goals</li><li>Recognize and address cross functional implications of your work</li></ul> Create a Diverse, Inclusive Workforce <ul><li>Incorporate the diverse ideas and perspectives of team, colleagues, and customers in your work</li></ul> Lead Change <ul><li>Proactively seek out opportunities to improve business performance and customer service.</li><li>Respond positively to new demands or circumstances</li><li>Exhibit a "can-do" attitude to support changes in priorities and work processes</li></ul> Focus on the Customer <ul><li>Deliver superior service to our customers, both internal and external, in a reliable, attentive, courteous, quality, proactive and timely manner</li></ul> Compensation and Benefits Eversource offers a competitive total rewards program. The annual salary range for this position starts at $73,580.00 to $81,760.00, plus incentive. Salary is commensurate with your experience. Check out the career site for an overview of our benefits. #corpajd Worker Type: Regular Number of Openings: 1 EEO Statement Eversource Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, sexual orientation, gender identity, national origin, religion, disability status, or protected veteran status. VEVRRA Federal Contractor Emergency Response: Responding to emergency situations to meet customers' needs is part of every employee's role. If employed, you will be given an Emergency Restoration assignment. This means you may be called to assist during an emergency outside of your normal responsibilities, work hours and location.

Center 2 (19050), United States of America, McLean, VirginiaLead Data Engineer (Remote)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you''ll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies such as Machine Learning based Data Quality solutions. Team Info:As a Capital One Lead Data Engineer, you''ll have the opportunity to be on the forefront of driving a major transformation within Capital One. You''ll be driving the creation of the next generation transformation engine within the Finance Technology Line of Business, allowing multiple other applications to source business critical data that is of the highest quality while meeting strict Service Level Agreements. What You''ll Do:Collaborate with and across Agile teams and lines of businesses to design, develop, test, implement, and support technical solutions for data transformation using technologies such as Spark, Scala, PythonBuild a machine learning based data quality solution for Anomaly detection Work with a team of developers with deep experience in machine learning, data engineering, distributed microservices, and full stack systemsUtilize programming languages like Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as SnowflakeShare your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentPerform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance"Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor''s Degree At least 6 years of experience in application development (Internship experience does not apply)At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)Preferred Qualifications:7+ years of experience in application development including Python, SQL, Scala, or Java4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL)4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position.No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City''s Fair Chance Act; Philadelphia''s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [Click Here to Email Your Resum]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One''s recruiting process, please send an email to [Click Here to Email Your Resum]Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Title: Staff Data Engineer Location: Boston, MA / Hybrid / Remote Must have extensive experience with (list top skill(s)) <ul> <li>Data Engineer / Data Architect </li> <li>Java, Python </li> <li>AWS, Azure, GCP </li> <li>Big Data </li> <li>Data Fabric expertise</li></ul> Spyglass Partners, LLC has over 15 years' experience as a nationwide staffing firm and is your ideal source for all your staffing needs regardless of whether it's a temporary contract solution or a long-term direct hire. Spyglass Partners specializes in the placement of contract and direct hire resources within all facets of IT including IT Infrastructure, Big Data, Project Management, Cyber Security, Network Security, ERP, Application Development and Mobile Development.

Job Title: Staff Data Engineer Job Type: Full-Time Location: Remote Flexibility, preference for local candidates willing to work a Hybrid schedule in Westwood, MA. About Intentsify: Intentsify.io is a forward-thinking technology company specializing in AI-driven intent analytics for empowering businesses with actionable insights. WHAT WE DO - Intentsify provides B2B organizations with the most accurate, comprehensive buyer-intent intelligence in the market today, and solutions to act on that intelligence. HOW WE DO IT - Delivering and activating proprietary, next-generation precision intent data, Intentsify's Intelligence Activation Platform identifies companies exhibiting research behaviors directly related to your business solutions, pinpoints where they are in the buying process, surfaces the issues they care about most, and enables you to engage identified companies, quickly and effectively.?? WHY WE DO IT - To transform the way B2B organizations consume, interpret, and activate intent-enabling exceptional full-funnel buying experiences that drive revenue. About the job: We are seeking a talented and experienced Data Engineer to join our team. This role provides a unique opportunity to lead the design and implementation of robust data engineering solutions for our AI-based, data-intensive web application specializing in intent analytics. As the Staff Data Engineer at Intentsify.io, you will be instrumental in shaping the data architecture, engineering processes, and analytics infrastructure for our intent analytics platform. Your role involves leading a team of data engineers, collaborating with cross-functional teams, and ensuring the scalability, efficiency, and reliability of our data-intensive applications. If you have a proven track record in data engineering technology and are passionate about leveraging data for actionable insights, this position is tailored for you. Responsibilities: <ul><li>Architectural Leadership: Lead the design and implementation of the data engineering architecture and ecosystem for our AI-based, data-intensive web application, ensuring scalability, reliability, while ensuring readability/usability of work products.</li><li>Data Processing: Design and optimize data processing pipelines to handle large volumes of diverse data sources, focusing on data quality, integrity, and real-time analytics capabilities.</li><li>Integration with AI: Collaborate with AI and machine learning teams to integrate data into predictive models and algorithms, ensuring seamless interoperability between data engineering and analytics components.</li><li>Technology Stack: Evaluate, select, and implement appropriate data technologies, frameworks, and tools to support the development of intent analytics applications.</li><li>Collaboration: Work closely with software architects, data scientists, and other cross-functional teams to align data engineering efforts with overall application architecture and business goals.</li><li>Performance Optimization: Conduct performance tuning, monitoring, and troubleshooting of data pipelines to ensure optimal functionality and efficiency.</li><li>Team Leadership: Lead and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.</li><li>Data Governance: Implement and enforce data governance and compliance measures to ensure the security and integrity of data.</li></ul> Requirements <ul><li>Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.</li><li>Proven experience as a Data Engineering Architect, with a focus on building resilient and usable data systems utilizing large web scale data and integrating AI-based models.</li><li>Proficiency in programming languages such as Python, Java, or similar.</li><li>Expertise in big data technologies (e.g., Spark, Beam, Kafka, Airflow), databases and data store technologies (e.g., Hadoop, Snowflake, PostgreSQL), and cloud platforms (e.g., AWS, Azure, Google Cloud).</li><li>Strong leadership skills with experience in leading and mentoring data engineering teams.</li><li>Excellent problem-solving skills, attention to detail, and a strategic mindset.</li><li>Effective communication and collaboration skills to effectively work with cross-functional teams.</li></ul> Benefits: <ul><li>Competitive Medical, Dental, and Vision plans</li><li>401k with Company Match</li><li>Flex-time and open vacation policy</li><li>Tremendous growth opportunity within a fast-growing start up</li><li>Short term and long term disability</li><li>Life Insurance</li></ul> Intentsify is focused on promoting an inclusive environment and is proud to be an equal opportunity employer. We celebrate the different viewpoints and experiences our diverse group of team members bring to Intentsify. Intentsify does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law.

Data Engineer Jobs in Westwood, MA

It Data Engineer Engineer
November 9, 2024

It Associate Data Engineer Hybrid
November 7, 2024

Lead Data Engineer Remote
November 6, 2024

Staff Data Engineer
November 2, 2024

Staff Data Engineer
October 31, 2024

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Data Engineer Jobs in Westwood, MA

It Data Engineer EngineerNovember 9, 2024

It Associate Data Engineer HybridNovember 7, 2024

Lead Data Engineer RemoteNovember 6, 2024

Staff Data EngineerNovember 2, 2024

Staff Data EngineerOctober 31, 2024