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.

Our client in the healthcare industry is seeking a Data Engineer to join their team. As a Data Engineer, you will be part of the CT2 team supporting clinical trial audit data. The ideal candidate will have strong SQL skills, Python, experience with ETL tools, and a focus on anomaly detection and data integrity, which will align successfully in the organization. Job Title: Data Engineer Location: Lexington, MA (Hybrid) Pay Range: Commensurate with experience What's the Job? <ul> <li>Design and implement data pipelines to collect, transform, and load clinical trial audit data. <li>Develop algorithms and tools to identify anomalies and issues in audit trail data, enhancing data integrity. <li>Conduct detailed analyses of metadata to ensure accurate data capture, modification, and deletion processes. <li>Collaborate with cross-functional teams within CT2 team, to ensure alignment with project objectives. <li>Perform regular audit trail reviews to assess data integrity and contribute towards patient safety.</ul> What's Needed? <ul> <li>Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. <li>Proven experience as a Data Engineer, with a focus on anomaly detection and data integrity. <li>Proficiency in programming languages such as Python, SQL, and experience with ETL tools. <li>Strong understanding of metadata analysis and its application in data capture, modification, and deletion. <li>Proven experience with data modeling, AI, and Python.</ul> What's in it for me? <ul> <li>Opportunity to work on a crucial project aimed at identifying anomalies and issues within clinical trial audit data. <li>Contribute towards patient safety by ensuring the integrity of clinical trial data. <li>Work with a cross-functional team to ensure alignment with project objectives. <li>Develop best practices for audit trail reviews in clinical trials. <li>Competitive pay.</ul> If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of:Manpower, Experis, Talent Solutions, and Jefferson Wells ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells -creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

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 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 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 Java 4 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 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).

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).

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Data Engineer Jobs in Lexington, MA

Mdm Data EngineerNovember 10, 2024

Data EngineerNovember 9, 2024

Lead Data EngineerNovember 8, 2024

Senior Data Engineer Finance Tech TeamNovember 6, 2024

Senior Data Engineer Finance Tech TeamNovember 5, 2024

Senior Data Engineer Finance Tech TeamOctober 30, 2024

Senior Data EngineerOctober 30, 2024

Lead Data EngineerOctober 28, 2024