At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enablin Data Engineer, Manager, Cloud, Engineer, Data Architect, Data Science, Accounting

Overview Position Overview: In this role you will bean integral partofthe Data Engineering teamresponsible forbuildinghighquality,robust and scalable data platform environmentsand solutions to supportour data lake and data warehouse environments. Our team collaboratesclosely withotherengineering,analyticsand data scienceteamstoidentifyand implementoptimaldatasolutionsfortheWellframeplatform. About Wellframe: With Wellframe, we reimagine healthcare relationships througha new approachthat uses high-tech to deliver the high-touch support people need, when and where they need it. We call it Digital Health Management. Our comprehensive suite of Digital Health Management solutions for care management, advocacy, and navigation help organizations forge more meaningful connections with members, across their healthcare journey.Wellframewas founded to counter a pressing industry problem: the healthcare system has struggled to find ways to support people in between care settings, at scale. We believe health plans are in the best position to advocate for their members as they navigate their health andcare, butknow that technology alonecanthelp us achieve this ambition.Thatswhy our team of physicians, clinicians, public health experts, data scientists, engineers, and healthcare industry experts ensure our patented technology works in service of the person-to-person connections that make healthcare work best. The complete suite of solutions fromHealthEdgedelivers a digital foundation for payers specifically designed to fuel a digital transformation, reduce costs, and improve both clinical outcomes and the member experience. Your Impact: Translate technical stories into software solutions Create data processing pipelines and solutions toacquireandtransform data from various sources(structured,nonstructured) Ensure the reliability and efficiency of our data platform, object storage, and data warehouse environments. Create and refine backlog to translate business requirements into data solutions Create andvalidatetechnical designs with other engineers Communicate technical decisions effectively with relevant stakeholders Maintain a high standard for code quality for yourself and others on the team, including automated testing Take technical ownership in areas of a project where applicable, contributing to technical design, development, testing and on time delivery with high quality Debug and fix challenging production issuesto ensure data and platform availability Participate in on-call rotation to ensure exemplary uptime and reliability Work with customer support to triage, diagnose, and resolve bugs Identifyand lead process and technology improvements Identifyprocess,toolingand feature improvements to improve product quality and engineering productivity Contribute to the teams roadmap for implementing technical and process improvements What You Bring: BS or MS in Computer Science, ComputerEngineeringor closely related field At least3 years of experience with cloud-based environments like GCP, AWS, Azure At least3 years of experience writing object-oriented code with languages like Python Experience with pipeline orchestration tools like Apache Airflow,Airbyte,Dagster, or AWS Glue. Experience with cloud data warehouses likeBigQuery, Snowflake, or Redshift. Experience with relational/transactional databases such as PostgreSQL, MongoDB, or MySQL. Experience with event streaming systems like Kafka, Pub-Sub, or ActiveMQis preferred Understanding of large data processing systems likeDataBricks, Sparkis preferred Strong communicationand collaboration skills, comfortable explaining technical problemstoanon-technicalaudience. Excellent analytical abilities and problem-solving skills, with a strongcapacityto translate business requirements into effective data solutions. Possesses a keen eye foridentifyingdata patterns and a passion for continuous improvement, combined with a love for data and a flair for creativity Demonstrates a keen interest in understanding the products that the data supports, ensuring alignment between data insights and business objectives Accepts feedback graciously Strives not to commit the same mistake twice Staysup to dateon industry best practices andnew technologies Promotes quality through automated testing and other measures Strong senseof ownership Thrives on diverse technical challenges Passionate aboutleveragingtheir technical skills to help improve patient care Works effectively in a fast-paced, agile startup environment HealthEdge commits to building an environment and culture that supports the diverse representation of our teams. We aspire to have an inclusive workplace. We aspire to be a place where all employees have the opportunity to belong, make an impact and deliver excellent software and services to our customers. Geographic Responsibility: WhileHealthEdgeislocatedinBurlington, MA you may live anywhere in the US Type of Employment: Full-time, permanent Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job: The employeeis occasionally required tomove around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work across multiple time zones in a hybrid or remote work environment. Long periodsof time sitting and/or standing in front of a computer using video technology. May require travel dependent on company needs. The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990. Candidates may be required to go through a pre-employment criminal background check. HealthEdge is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women, veterans and persons with disabilities. LI-Remote Job Locations US-Remote ID 2024-4955 Category Engineering Position Type Full-Time HealthEdge provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Senior Data Engineer Remote - US Cleo is a cloud integration technology company focused on business outcomes. Every day, we ensure that each one of our 4,000 customers' potential is realized by delivering solutions that make it easy to discover and create value through the connections and integration of enterprise applications supporting critical workflows. By providing the industrys most complete and flexible integration offerings, we are helping our clients build trusted relationships across their partner ecosystems today, while providing all the control and visibility they need to advance their business tomorrow. In a nutshell, Cleo is a rapidly growing category leader in ecosystem integration software and we have experienced tremendous growth over recent years. The Senior Data Engineer is a hands-on leader responsible for designing, developing, and maintaining data pipelines and infrastructure at Cleo. This role involves setting the strategy for data systems, collaborating closely with cross-functional teams, and ensuring the scalability, reliability, and efficiency of data solutions. The Senior Data Engineer will focus on data infrastructure needs for AI/ML models , overseeing the creation of a data warehouse and associated systems from scratch, and ensuring data is properly transformed and optimized for machine learning and artificial intelligence applications. This role is integral to building the processes that support data transformation , data structures , metadata management , data quality controls , and workload management . What You Will Be Doing Lead the Design and Build of Data Pipelines : Develop and maintain scalable, reliable, and efficient data pipelines that collect, process, and store large datasets. Ensure these systems are optimized for AI/ML model training and inference. Set Data Infrastructure Strategy : Define and execute the strategy for building and maintaining data warehouses , data lakes , and other data storage systems that support both operational and analytical needs. Ensure systems are optimized for AI/ML model workflows. Hands-On Data Transformation for AI/ML Models : Design and implement data transformation processes, including feature engineering , data preprocessing , and data augmentation , to ensure data is in the right format for machine learning models. Build Data Structures and Metadata Management : Build and manage the data structures, metadata repositories, and related systems that support data transformation, ensuring the organization has well-documented, accurate, and accessible data for AI/ML workflows. Data Quality Controls and Risk Management : Establish and implement data quality controls to ensure that data used in machine learning models is clean, consistent, and accurate. Identify and raise risks at all stages of the data engineering process, including data ingestion, transformation, and storage. Collaborate with Cross-Functional Teams : Work closely with data scientists , ML engineers , product managers , and business leaders to understand data requirements and ensure data systems meet the needs of AI/ML initiatives. Provide hands-on leadership to guide teams in transforming data for model training. ETL Development and Optimization for AI/ML : Lead the development and optimization of ETL (Extract, Transform, Load) processes for ML/AI data. Focus on efficiently moving and transforming large datasets, ensuring data quality and readiness for model training and deployment. Optimize Data for Model Training and Inference : Ensure data pipelines are designed to support the needs of AI/ML model training, such as handling large volumes of data, managing data quality, and enabling fast model iteration. Data Governance for AI/ML : Define and implement data governance practices to ensure the secure, compliant, and ethical use of data in AI/ML workflows. Stay Current : Keep up with emerging trends in data engineering, particularly those related to AI/ML model development, and implement best practices to optimize data systems for machine learning. Your Qualifications Experience : 5-7 years of experience in data engineering, with a focus on transforming data for AI/ML models and optimizing data systems to support machine learning and artificial intelligence workflows. Hands-On Expertise : Proven experience in hands-on data transformation and building data pipelines for AI/ML, including data preprocessing, feature engineering, and model-specific data handling. Leadership : Experience leading or mentoring data engineering teams, providing hands-on guidance for AI/ML-related projects and collaborating with cross-functional teams. Cloud and Big Data : Strong experience with cloud platforms and big data technologies , particularly in the context of AI/ML model development . A few things we have to offer: Competitive compensation Great Healthcare Dental Vision Flexible PTO Culture of support, encouraging Life-Work balance 401k match FSA and HSA options Employee Assistance Program Paid Parental Leave Representing a company with 4,000 clients and a 99% retention rate Accelerated title and salary growth potential A fun and energetic work environment that makes you excited to go to work every day Cleo Communications, LLC is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status or any other characteristic protected by law.

Overview Position Overview: In this role you will bean integral partofthe Data Engineering teamresponsible forbuildinghighquality,robust and scalable data platform environmentsand solutions to supportour data lake and data warehouse environments. Our team collaboratesclosely withotherengineering,analyticsand data scienceteamstoidentifyand implementoptimaldatasolutionsfortheWellframeplatform. About Wellframe: With Wellframe, we reimagine healthcare relationships througha new approachthat uses high-tech to deliver the high-touch support people need, when and where they need it. We call it Digital Health Management. Our comprehensive suite of Digital Health Management solutions for care management, advocacy, and navigation help organizations forge more meaningful connections with members, across their healthcare journey.Wellframewas founded to counter a pressing industry problem: the healthcare system has struggled to find ways to support people in between care settings, at scale. We believe health plans are in the best position to advocate for their members as they navigate their health andcare, butknow that technology alonecanthelp us achieve this ambition.Thatswhy our team of physicians, clinicians, public health experts, data scientists, engineers, and healthcare industry experts ensure our patented technology works in service of the person-to-person connections that make healthcare work best. The complete suite of solutions fromHealthEdgedelivers a digital foundation for payers specifically designed to fuel a digital transformation, reduce costs, and improve both clinical outcomes and the member experience. Your Impact: Translate technical stories into software solutions Create data processing pipelines and solutions toacquireandtransform data from various sources(structured,nonstructured) Ensure the reliability and efficiency of our data platform, object storage, and data warehouse environments. Create and refine backlog to translate business requirements into data solutions Create andvalidatetechnical designs with other engineers Communicate technical decisions effectively with relevant stakeholders Maintain a high standard for code quality for yourself and others on the team, including automated testing Take technical ownership in areas of a project where applicable, contributing to technical design, development, testing and on time delivery with high quality Debug and fix challenging production issuesto ensure data and platform availability Participate in on-call rotation to ensure exemplary uptime and reliability Work with customer support to triage, diagnose, and resolve bugs Identifyand lead process and technology improvements Identifyprocess,toolingand feature improvements to improve product quality and engineering productivity Contribute to the teams roadmap for implementing technical and process improvements What You Bring: BS or MS in Computer Science, ComputerEngineeringor closely related field At least3 years of experience with cloud-based environments like GCP, AWS, Azure At least3 years of experience writing object-oriented code with languages like Python Experience with pipeline orchestration tools like Apache Airflow,Airbyte,Dagster, or AWS Glue. Experience with cloud data warehouses likeBigQuery, Snowflake, or Redshift. Experience with relational/transactional databases such as PostgreSQL, MongoDB, or MySQL. Experience with event streaming systems like Kafka, Pub-Sub, or ActiveMQis preferred Understanding of large data processing systems likeDataBricks, Sparkis preferred Strong communicationand collaboration skills, comfortable explaining technical problemstoanon-technicalaudience. Excellent analytical abilities and problem-solving skills, with a strongcapacityto translate business requirements into effective data solutions. Possesses a keen eye foridentifyingdata patterns and a passion for continuous improvement, combined with a love for data and a flair for creativity Demonstrates a keen interest in understanding the products that the data supports, ensuring alignment between data insights and business objectives Accepts feedback graciously Strives not to commit the same mistake twice Staysup to dateon industry best practices andnew technologies Promotes quality through automated testing and other measures Strong senseof ownership Thrives on diverse technical challenges Passionate aboutleveragingtheir technical skills to help improve patient care Works effectively in a fast-paced, agile startup environment HealthEdge commits to building an environment and culture that supports the diverse representation of our teams. We aspire to have an inclusive workplace. We aspire to be a place where all employees have the opportunity to belong, make an impact and deliver excellent software and services to our customers. Geographic Responsibility: WhileHealthEdgeislocatedinBurlington, MA you may live anywhere in the US Type of Employment: Full-time, permanent Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job: The employeeis occasionally required tomove around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work across multiple time zones in a hybrid or remote work environment. Long periodsof time sitting and/or standing in front of a computer using video technology. May require travel dependent on company needs. The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990. Candidates may be required to go through a pre-employment criminal background check. HealthEdge is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women, veterans and persons with disabilities. LI-Remote Job Locations US-Remote ID 2024-4955 Category Engineering Position Type Full-Time HealthEdge provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Company : Highmark Health Job Description : JOB SUMMARY We are on a mission to deliver remarkable health experiences, freeing people to be their best. This requires an advanced 360 person-centered approach to deliver the right message, guidance, care, outcome, and experiences, all at the right time. This Sr Engineering role on the team will help lead us towards the combined digital and data transformation, modernizing from core Master Data Management (MDM) platforms and processes towards more open and forward oriented platforms, patterns, and architectures. On an ongoing basis, you will collaborate and/or lead various technical engagements to scope, deliver, and support core operational systems focusing on delivering a Person-360 ecosystem. These patterns and platforms will serve as foundational to an enterprise 360 approach, improving individuals experiences and business outcomes. Working in a distributed team, you can influence and lead both technical and non-technical cross-functional team members, building trust and momentum with stakeholders, prioritizing outcomes over activity. You will be pragmatic in modernizing technology by pairing innovation and transformation with business requests and customer experiences. ESSENTIAL RESPONSIBILITIES In partnership with other business, platform, technology, and analytic teams across the enterprise, design, build and maintain well-engineered data solutions in a variety of environments, including traditional data warehouses, Big Data solutions, and cloud-oriented platforms. Create high performance cloud and big data systems to be used with operational and analytic applications. Work with internal and external platforms and systems to connect and align on data sourcing, flow, structure, and subject matter expertise. Work with business stakeholders and strategic partners to implement and support operational and analytic platforms. This may include products purchased by the organization that must be ingested or modeled/derived data maintained by enterprise platforms and data consumers. Working across multiple, disparate systems and platforms, design, code, test, implement, and maintain scalable and extensible frameworks that support data engineering services. Align with security, data governance and data quality programs by driving assigned components of metadata management, data quality management, and the application of business rules.Develop and maintain associated data engineering processes and participate in required operating procedures as part of the enterprises overall information management activities.Includes data cleansing, standardization, technical metadata documentation, and the de-identification and/or tokenization of data. Develop, optimize and/or maintain machine learning and AI engineering processes (MLOps) that are deployed to cloud or big data environments.These may be based on prototypes built by data scientists or capability frameworks implemented to allow data scientists to build efficiently in production environments. Develop tasks across multiple projects with limited need for guidance. This includes providing guidance and education to Intermediate and Junior contributors within team. Manage relationships with customers of the function. Attend meetings with customers on a stand-alone basis or with team as needed. Establish standards and patters for high performance data ingestion, transformation, and delivery of data analytic needs. Keep current with Big Data technologies in order to recommend best tools in order to perform current and future work Other duties as assigned or requested. EDUCATION Required Bachelor's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related field Substitutions None Preferred Master's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related field EXPERIENCE Required 5 years in Data platform development, data engineering, software development, or data science 3 years in Big data or cloud data platform Preferred 5 years in Healthcare Industry or Financial services/Banking or similar highly regulated industry 5 years of Data Warehousing experience 3 years of cloud data warehousing experiences with preference for GCP 3 years of experience with Databricks 3 years of experience with MDM systems with preference for Informatica Advanced knowledge of data movement and integration platforms with preference for Pub/Sub and Kafka Advanced knowledge of governance platforms and practices to include metadata catalog integration, AuthN/AuthZ Entitlements platforms and workflows, etc. LICENSES AND CERTIFICATIONS Required None Preferred Cloud certification (GCP, Azure, AWS) SKILLS SQL Data Warehousing Problem-Solving Communication Skills Analytical Skills Spark or Python or related tool Cloud Technologies ? Language (Other than English): None Travel Requirement: 0% - 25% PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS Position Type Office-based Teaches / trains others regularly Rarely Travel regularly from the office to various work sites or from site-to-site Does Not Apply Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required No Lifting: up to 10 pounds Constantly Lifting: 10 to 25 pounds Occasionally Lifting: 25 to 50 pounds Rarely Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job. Compliance Requirement : This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies. As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Companys Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employees responsibility to comply with the companys Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements. Pay Range Minimum: $78,900.00 Pay Range Maximum: $146,000.00 Base pay is determined by a variety of factors including a candidates qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, age, religion, sex, national origin, sexual orientation/gender identity or any other category protected by applicable federal, state or local law. Highmark Health and its affiliates take affirmative action to employ and advance in employment individuals without regard to race, color, age, religion, sex, national origin, sexual orientation/gender identity, protected veteran status or disability. EEO is The Law Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity ( https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf ) We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact number below. For accommodation requests, please contact HR Services Online at HRServiceshighmarkhealth.org California Consumer Privacy Act Employees, Contractors, and Applicants Notice Req ID: J252318

Summary: As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Required Skills: Data Engineer, Product Analytics Responsibilities: Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way Define and manage Service Level Agreements for all data sets in allocated areas of ownership Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts Influence product and cross-functional teams to identify data opportunities to drive impact Mentor team members by giving/receiving actionable feedback Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent 7 years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions 7 years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.) Preferred Qualifications: Preferred Qualifications: Master's or Ph.D degree in a STEM field Public Compensation: $error/year to $error/year bonus equity benefits We apologize for the inconvenience, please be patient as we work to correct the issue. Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-extfb.com.

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enablin Data Engineer, Manager, Data Architect, Engineer, Processing, Azure, Accounting

Data Engineer Jobs in West Columbia, SC

Google Cloud Data Engineer Nocodelowcodesenior Manager
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Senior Big Data Engineer Person360 Mdm
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Data Engineer Manager
November 23, 2024

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Data Engineer Jobs in West Columbia, SC

Google Cloud Data Engineer Nocodelowcodesenior ManagerDecember 18, 2024

Data EngineerDecember 2, 2024

Senior Data EngineerDecember 1, 2024

Data EngineerDecember 1, 2024

Senior Big Data Engineer Person360 MdmNovember 29, 2024

Data Engineer Product AnalyticsNovember 26, 2024

Data Engineer ManagerNovember 23, 2024