Objectives of the role

As an MDM Data Engineer, you will work in a fast-paced, innovative, and collaborative environment on exciting data management directives. You will design, build, and measure complex Informatica Power Center and MDM processes to master data for different Master Data domains in MassMutual. This role involves working on a range of projects including batch pipelines, data modeling, and Master Data solutions to implement robust data collection and processing pipelines to meet specific business needs.

The Team

The Data Platform Data Engineering team comprises a diverse group of data engineers, analysts, and data architects who are passionate about data integrity and innovation. The team is motivated by the opportunity to drive business decisions through accurate and reliable data. We foster a collaborative culture where knowledge-sharing and continuous learning are encouraged. Our MDM team is dedicated to mastering data management processes that are essential for MassMutual's data-driven strategies.

The Impact:

Design, construct, and evaluate intricate ELT/ETL tasks: Assimilate data from diverse sources into a high-quality, reliable data repository, directly impacting the accuracy of MassMutual's data-driven decisions.
Develop Master Data Management (MDM) solutions: Implement solutions across various master data domains within MassMutual, ensuring data consistency and reliability.
Provide comprehensive support for MDM solutions: Manage data ingestion, master record creation, outbound data extracts, and API integration to maintain seamless data operations.
Implement data modeling policies and procedures: Establish standards for data modeling, contributing to the efficiency and consistency of data processes.
Collaborate across departments: Engage with various teams to understand emerging data patterns, translating high-level business needs into precise technical specifications.
Actively engage in the development and rollout of MDM Solutions and other Information Management initiatives at MassMutual.
Establish data quality benchmarks and develop tools/processes to ensure data accuracy.

The Minimum Qualifications

Bachelor’s degree in computer science or engineering.
5+ years of experience with Informatica Power Center.
5+ years of experience in data analytics, data modeling, and database design.
3+ years of coding and scripting (Python, Java, Scala) and design experience.
3+ years of experience with the Informatica MDM platform in the customer/party subject area.
3+ years of experience in ELT methodologies, SQL tuning, and troubleshooting.
3+ years of experience with Oracle database and AWS.
2+ years of experience with basic UNIX commands and shell scripts.
3+ years of experience with RESTful APIs and near real-time mastering via SIF.

The Ideal Qualifications

Master’s degree in computer science or engineering.
Familiarity with agile project delivery processes.
Proficiency in SQL and data access/analysis.
Ability to manage diverse projects impacting multiple roles and processes.
Experience with Python, Kafka, and database technologies like Vertica or Redshift.
Experience designing and implementing automated ETL processes.
Willingness to provide Level 2 support for batch processing cycles outside business hours.

What to Expect as Part of MassMutual and the Team

Regular collaboration with the Data Management Team.
Focused one-on-one time with your manager.
Access to mentorship opportunities.
Networking opportunities, including access to Asian, Hispanic/Latinx, African American, women, LGBTQ, veteran, and disability-focused Business Resource Groups.
Access to learning content on Degreed and other informational platforms.
Your ethics and integrity will be valued by a company with a strong and stable ethical business, with industry-leading pay and benefits.

#LI-RK1

MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status.

If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

Center 1 (19052), United States of America, McLean, VirginiaLead Data EngineerDo 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. As a Capital One Lead Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. What Youll Do:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesWork with a team of developers with deep experience in machine learning, distributed microservices, and full stack systemsUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and 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 performanceBasic Qualifications: Bachelors Degree At least 4 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, Gurobi, or MySQL)4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 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, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 Citys Fair Chance Act; Philadelphias 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.comCapital 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).

West Creek 3 (12073), United States of America, Richmond, VirginiaSenior Data Engineer, Finance Tech TeamDo 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 a Senior Data Engineer who is passionate about marrying data with emerging technologies. As a Capital One Senior Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. What Youll Do:Work as part of the Finance Tech team supporting multiple LOB pods (card, retail bank, commercial bank, auto finance)Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesWork with a team of developers with deep experience in machine learning, distributed microservices, and full stack systemsUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and 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 Basic Qualifications: Bachelors Degree At least 3 years of experience in application development (Internship experience does not apply)At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ 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, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 Citys Fair Chance Act; Philadelphias 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.comCapital 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).

Center 1 (19052), United States of America, McLean, VirginiaSenior Data EngineerDo 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. As a Capital One Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. What Youll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share 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 community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelors Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5 years of experience in application development including Python, SQL, Scala, or Java 2 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3 years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2 year experience working on real-time data and streaming applications 2 years of experience with NoSQL implementation (Mongo, Cassandra) 2 years of data warehousing experience (Redshift or Snowflake) 3 years of experience with UNIX/Linux including basic commands and shell scripting 2 years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 Citys Fair Chance Act; Philadelphias 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 RecruitingAccommodationcapitalone.com. 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 Careerscapitalone.com 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).

Center 1 (19052), United States of America, McLean, VirginiaSenior Data EngineerDo 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. As a Capital One Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. What Youll Do:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesWork with a team of developers with deep experience in machine learning, distributed microservices, and full stack systemsUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and 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 performanceBasic Qualifications: Bachelors Degree At least 3 years of experience in application development (Internship experience does not apply)At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ 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, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 Citys Fair Chance Act; Philadelphias 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.comCapital 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 Data Engineer WHAT YOU WILL ACHIEVE In this role, you will create and maintain Addgene's data and bioinformatics pipelines, data warehouse environment, machine learning models, and analytics and AI capabilities. You will work with our small and nimble data science team to enable broad data access across the organization, perform large, complex analysis, and innovate utilization of data. By identifying and pursuing new opportunities to solve business problems, you will accelerate decision making processes and advance Addgene's scientific mission. POSITION REPORTS TO Director of Data Science SALARY $100,000 - $110,000 annually + our amazing benefits (see below)! LOCATION & POLICY ON REMOTE WORK This role is completely flexible to be fully remote, hybrid, or onsite-although ability to come into the office on occasion is preferred. Our office is located at 490 Arsenal Way in Watertown, Massachusetts. Our beautiful office space has free, ample parking with a complimentary shuttle from Harvard Square and is on multiple bus lines, with the cost of public transit covered by Addgene (if onsite at least 4 days/week). You have flexibility when you work your hours, but need to be available generally for meetings that occur during 9am-4pm EST. You must be a resident in one of the following states: MA, VT, ME, RI, NC, FL, CO and OH. Addgene's Covid-19 Safety Measures: At this time, vaccinations are strongly encouraged for all employees of Addgene, but not required. The Role: The Data Engineer will develop and maintain the infrastructure and tools required for Addgene's data and bioinformatics environment. The ideal candidate will collaborate and effectively communicate within and across various teams on complex projects to investigate, plan and deliver data solutions.. To Succeed in this Role, You Will: <ul><li>Work collaboratively with team members using Kanban and Agile frameworks to respond to internal requests for datasets, analysis and visualization, and contribute to larger team projects.</li><li>Curate, wrangle, and prepare data reports, summaries and/or visualizations for other Addgene teams</li><li>Collaborate with team members to maintain and improve existing bioinformatics workflows written in Nextflow (a domain specific language implemented in Groovy) and develop new automation capabilities for Addgene's bioinformatics needs</li><li>Design, create, monitor, and improve data pipelines to enable an accurate, comprehensive, and reliable data analytics environment</li><li>Generate large and/or complex datasets, reports, visualizations, and dashboards using Google Cloud products (BigQuery, LookerStudio) and Jupyter notebooks</li><li>Build and strengthen our infrastructure to easily and efficiently complete tasks and projects</li><li>Produce well-engineered software using best practices, including automated tests (Python unit testing), documentation (Confluence) and continuous integration and continuous deployment (Teamcity/Jenkins)</li><li>Collaborate with stakeholders on other teams to clarify requirements, provide estimates, verify data output, acceptance test, and communicate limitations and/or caveats</li><li>Work independently on assigned tasks, and effectively manage multiple responsibilities. Take initiative to make decisions that will impact team processes and output</li><li>Review other team members' code, and have your code reviewed</li><li>Keep up to date with new technologies and best practices, and seek out opportunities to integrate them into our code base and processes</li></ul> Skills and Competencies Required: <ul><li>Master's degree in Computer Science, Data Engineering, or related technical field with 1-2 years professional, full-time experience (or Bachelor's degree with additional 3-4 years of experience)</li><li>Minimum 1-2 years professional software or data engineering experience using Python</li><li>At least 1 year experience with Python data science libraries, such as pandas and NumPy</li><li>In-depth experience with relational databases and constructing complex queries (ex. SQL) to retrieve data</li><li>Familiarity with data pipelines and ETL architectures</li><li>Proficiency with common software engineering practices, including source control, testing, code reviews, and deployment</li><li>Working knowledge of Linux/Unix operating systems and command-line tools</li><li>Proactive problem-solving skills and ability to implement process improvements</li><li>Strong communication skills and ability to translate and explain concepts and results to non-technical team members and stakeholders</li></ul> Preferred: <ul><li>Experience working with Django and writing queries to retrieve data</li><li>Hands-on experience building and optimizing data pipelines and ETL architectures using cloud platform technologies (ex. Google Cloud, AWS)</li><li>Familiarity with and developing ML or statistical models using Python libraries, such as PyTorch, Tensorflow, XGBoost</li></ul> Benefits At Addgene, we prioritize our people with comprehensive benefits that support both your work and your life. Full-time employees receive: <ul><li>100% company-paid benefit package that includes health & dental (extending to family members), life, short-term, and long-term disability insurance.</li><li>Twenty days of PTO on top of our winter break closure and company holidays. </li><li>A 403(b) retirement account with a company match of 4% after 2 years of employment. </li><li>Annual professional development stipend</li><li>Annual lifestyle stipend</li><li>Fully paid public transportation for employees who work onsite four or more days per week. </li><li>Onsite yoga classes & wellness reimbursement</li><li>Pet insurance</li><li>Annual financial planning one-on-ones with our plan administrator</li></ul> The Organization: Addgene is a self-sustaining, thriving nonprofit life sciences organization that was created to help scientists share DNA-based research materials called plasmids. Our mission is to accelerate research and discovery by improving access to useful research materials and information. Since its founding in 2004, Addgene has grown and innovated in order to assist the research community by archiving and sharing useful DNA-based research materials and resources (such as plasmids, viral vectors, and recombinant antibodies) with scientists worldwide. Broad availability of these unique research materials promotes the advancement of research in a wide variety of disciplines, including cancer, heart disease, and neurodegenerative disorders, while increasing collaboration within the scientific community. Learn more here from one of our founders, Melina Fan. As an "Addgenie", you will work collaboratively with internal teams to help fulfill this mission, including scientists, software engineers and product developers, renowned customer support teams, scientific content creators, and business development professionals. Together, Addgenies create and enhance opportunities for research scientists to deposit their materials, find products and resources easily on our website, and receive unparalleled support in receiving and expertly using our materials in their own experiments. Life at Addgene: Addgene is a truly special place to work. We are an inclusive and welcoming group of people from many backgrounds and perspectives. We believe in flexibility, actively supporting professional development, and a strong work/life balance. We value sharing ideas and feedback with each other and the company. We also believe it's important to make time for fun, whether it's eating popcorn at our outdoor movie night, sharing cute photos in the #pets slack channel, or sampling whiskeys at our end-of-year social hour. Bookworms, athletes, gamers, parents, foodies, and more will find community in Addgene's events and Slack channels. Diversity, Equity, Inclusion & Belonging at Addgene Addgene is committed to creating and fostering a diverse, supportive, and inclusive working environment. We work with a diverse and open global scientific community, and we know that the best innovations and discoveries come from diverse teams. Addgene strives for diversity, equity, and inclusion in all aspects of our work. We continuously learn from and celebrate a variety of perspectives and backgrounds as we grow, while working as a community to identify and unlearn all forms of bias. We seek to create an environment where all people can feel a sense of belonging. Addgene is an Equal Opportunity Employer and considers all applicants without regard to race, color, religion, national origin, sex, ancestry, sexual orientation, genetic information, gender identity, active military or veteran status, age, handicap, or any other characteristic protected by Federal, State or Local law.

Data Engineer Jobs in Watertown, MA

Mdm Data Engineer
November 10, 2024

Lead Data Engineer
November 8, 2024

Senior Data Engineer Finance Tech Team
November 6, 2024

Senior Data Engineer
November 5, 2024

Senior Data Engineer
October 31, 2024

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October 31, 2024

Senior Data Engineer
October 30, 2024

Senior Data Engineer Finance Tech Team
October 30, 2024

Lead Data Engineer
October 28, 2024

Senior Data Engineer
October 25, 2024

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Data Engineer Jobs in Watertown, MA

Mdm Data EngineerNovember 10, 2024

Lead Data EngineerNovember 8, 2024

Senior Data Engineer Finance Tech TeamNovember 6, 2024

Senior Data EngineerNovember 5, 2024

Senior Data EngineerOctober 31, 2024

Data EngineerOctober 31, 2024

Senior Data EngineerOctober 30, 2024

Senior Data Engineer Finance Tech TeamOctober 30, 2024

Lead Data EngineerOctober 28, 2024

Senior Data EngineerOctober 25, 2024