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Role Description We are seeking a senior engineer to help design and implement the core data platform powering our next-generation product architecture. This role will focus on building scalable data ingestion, transformation, and integration across multiple internal and external data sources, using AWS-native services. You will work closely with engineering leadership to establish a robust data lake and transformation layer that supports our APIs, microservices, and downstream analytics. The ideal candidate is comfortable working at the intersection of data engineering and application integration. Qualifications - Strong leadership skills - comfortable leading software engineers and implementing solutions. - Strong cross-functional collaboration with product, engineering, and analytics teams. - Strong communication skills for translating business requirements into system design and documentation. - Ability to present complex concepts to diverse audiences through clear written and verbal communication. - Strong problem-solving skills and knowledge of applied algorithms. - Experience in a team’s on-call rotation to address complex problems in real-time. Requirements - Strong hands-on experience implementing and using AWS data services: S3, Glue, Athena, Lake Formation, Step Functions, Lambda, Kinesis Data Stream, and API Gateway. - Expertise in designing and optimizing data pipelines for high-volume ingestion of structured and semi-structured data. - Experience with entity resolution, data cleansing, data quality, and anomaly detection. - Expert level skills in developing back-end distributed systems and data pipelines using Python, SQL, Step Functions, and Lambdas. - Strong proficiency with TypeScript and Node.js for building backend services. - Comfort working with cloud data warehouses (Athena, Snowflake, Redshift, BigQuery, or similar). - Experience building event-driven and notification systems and orchestration frameworks. - Experience integrating AWS data pipelines with external platforms. - Hands-on experience applying security best practices for data storage, transfer, and API access. - 7-10 years of professional experience in a software development environment. - 5+ years working in an AWS cloud-native environment. Benefits - Competitive salary and health benefits for eligible full-time employees. - 401k matching and a subsidy for internet or cell phone. - Generous PTO days, including paid holidays for cultural celebrations. - Half Day Summer Fridays! - A company actively working to dismantle bias in hiring practices and foster cultural inclusivity. - A fast-paced, team-driven culture with learning opportunities and autonomy.
• Define the architecture and long-term technical direction • Drive integrations with third-party tools • Own our infrastructure as code strategy using Terraform • Architect workflow orchestration systems • Lead the design and implementation of data export pipelines • Develop internal tooling and workflows • Serve as a technical anchor mentoring engineers • Partner with engineering leadership on roadmap prioritization • Communicate clearly about technical decisions
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Senior Associate, Data Cloud Applications Description Zeta Global is seeking a Senior Associate for our Data Cloud Applications team to drive operational excellence, client support, and solution innovation. This role provides critical leverage to the team by driving outcomes for Zeta’s key agency platform partners. The Senior Associate will work closely with the partners to help them win new business, grow existing accounts, and maintain their competitive edge. They will collaborate with the broader team and manage cross-functional collaboration to deliver strategic solutions and meet client goals. They will provide thought leadership and tactical support to drive adoption of Zeta’s Data Cloud solutions and will play a key role in informing Zeta’s product roadmap by capturing client feedback and identifying opportunities for greater efficiency and effectiveness. Roles & Responsibilities - Develop a comprehensive understanding of the Zeta Data Cloud Identity Graph, attributes, and signals to support audience curation and data-related inquiries - Confidently demo Zeta’s Opportunity Explorer solutions both internally and externally to showcase how we can help brands acquire, grow and retain customers. - Act as a primary point of contact and trusted strategic advisor for clients and client account teams, providing consultative guidance and actionable recommendations on leveraging Zeta Data Cloud solutions to achieve business objectives. - Identify strategic opportunities from Data Cloud Intelligence solutions and present actionable findings to client stakeholders during intelligence readouts. - Offer strategic recommendations during RFP responses, identifying creative applications of Zeta’s identity, intelligence, activation and measurement solutions to differentiate client proposals. - Train client account teams on how to leverage Data Cloud Intelligence solutions, enhancing client teams' ability to independently utilize platform features - Audit and maintain client accounts, verifying that all requested solutions are accurately loaded and active. - Capture client needs and feedback that align with the Zeta product roadmap, acting as a liaison between client teams and Zeta’s Product team. - Advocate for client-driven enhancements, ensuring client needs are communicated clearly to influence future platform developments Qualifications - 3+ years of professional experience, including 2+ years in Advertising or Marketing Technology - Thrives in a challenging, fast-paced entrepreneurial environment with real-time impact on day-to-day business, championing a high agency mindset - Highly organized and detail-oriented, with proven ability to manage multiple projects and prioritize effectively under dynamic conditions - Analytical thinker, comfortable with quantitative analysis and data interpretation - Translates complex data findings into clear, concise, and compelling narratives tailored to various audiences - Creative problem-solver who can think outside the box to develop innovative solutions - Collaborative team player with strong independent working skills; self-motivated and dependable in driving initiatives forward - Proficient in Excel (VLookups, Pivot Tables, Logic-based queries, data cleaning & filtering) - Advanced in Microsoft PowerPoint for professional client-facing presentations Preferred Qualifications - Expert in Microsoft PowerPoint - Proficient in Tableau - Working understanding of SQL and relational databases WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. BENEFITS & PERKS - Unlimited PTO - Excellent medical, dental, and vision coverage - Employee Equity - Employee Discounts, Virtual Wellness Classes, and Pet Insurance and more!! SALARY RANGE The salary range for this role is $70,000 - $80,000.00, depending on location and experience. PEOPLE & CULTURE AT ZETA Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ ZETA IN THE NEWS! https://zetaglobal.com/press/?cat=press-releases #LI-EK1
Role Description As Gropyus moves into the next phase of scaling up, we anticipate our Data growing rapidly. We’re looking for an experienced, enthusiastic Data Governance professional to join the Data and AI vertical. This role reports directly to the Head of Data and AI and will act as a high-level individual contributor as well as a strategic thought partner for the Data Leadership team and partners across Gropyus. A successful candidate will help us apply our Semantic Ontologies to our centralized Data Fabric and consult with tech domain expert teams on improving resilient, secure, and well-documented data in accordance with compliance standards. They will lead initiatives such as: - Expanding current Data Management offerings for the Data Fabric. - Integrating securely and effectively with AI agents and services. - Implementing stronger processes for data provenance within the Tech department. What you'll be doing: - Define, develop, implement and maintain the data governance framework, policies, standards, and procedures. - Contribute to the strategy of the Data Team including proposing and leading governance initiatives for both team roadmaps and potentially the larger company operational milestone. - Pairing with our process specialists, drive to best practices in data management including Data contracts, SOPs, retention, and access control. - Lead and report on data quality initiatives: metrics, monitoring, remediation, profiling, and continuous improvement. - Drive improvements to our Data Catalog and metadata management within Tech. - Support or lead tool selection/implementation for potential additional Data Quality tooling. - Identify and help manage data-related risks; collaborate on audits and compliance reviews. - Contribute to our Data Literacy efforts and expand training opportunities for our internal stakeholders. - Work closely with our Governance, Risk & Compliance, Information Security, and Corporate IT teams to ensure compliance with legal, regulatory, and internal requirements. Qualifications - Bachelor’s or Master’s degree in Data Management, Information Assurance, Computer Science, IT or related fields. - Significant, specialized experience (5+ years) in data governance, data quality, data management. - Experience with data governance frameworks & best practices (e.g., DAMA-DMBOK, data stewardship models). - Strong knowledge of data quality dimensions and tools; ability to define, measure, monitor, remediate data quality. - Good understanding of data architecture, data modeling, metadata management, data lineage. - Strong communication, stakeholder management skills; ability to influence, negotiate, collaborate cross-teams. - Proficient in working with regulatory and legal data/privacy requirements (e.g. GDPR, EU AI Act). Requirements - Hands-on experience with one or more data governance tools/platforms (e.g., Collibra, Informatica, Alation, Talend, data catalogs, metadata tools). - Past projects or familiarity with Ontologies, OWL and Semantic languages. - Familiarity with Data Fabric or Data Mesh frameworks. - Familiarity or Experience with Graph Databases. - Experience with highly complex, dynamic domains (Construction, Consulting, or Health Care). Benefits - Be part of something big: Join us in reinventing construction and sustainable, affordable living. - It’s on you: We offer a tremendous amount of ownership and room to make a mark at all organization levels. - Focus on results: You choose if you work from home, a park, or the office. - Bring your uniqueness to the team: We actively seek diversity and strive to unlock each other’s full potential. - Be an owner: Participate in the success of GROPYUS through stock options.
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• Design, develop, and maintain production-grade Python and Java data services and pipelines deployed on Google Cloud Platform. • Build and evolve Google Cloud Dataflow batch and streaming pipelines for data ingestion, standardization, curation, and analytics load. • Implement and maintain event-driven data workflows using Google Cloud Pub/Sub. • Design and manage BigQuery datasets, table schemas, partitioning strategies, clustering, and reporting views. • Build and maintain Cloud Composer (Apache Airflow) DAGs for workflow orchestration. • Develop and maintain Cloud Run microservices and Cloud Functions. • Participate in design and code reviews; mentor junior engineers and contribute to shared coding standards. • Collaborate with teams to ensure on-time delivery and best engineering practices. • Engage proactively in the triage and resolution of escalated production issues. • Follow and comply with all security policies and procedures established by the organization, including adherence to HIPAA and HITRUST regulations.
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• Drive the company-wide AI agenda: scaling local AI initiatives into centralized production systems that create measurable business value. • Own broad, high-impact AI initiatives that have cross functional impact: Moving our AI usage from past narrow or siloed automation examples to execute a company operational transformation. • Partner with Product, Engineering, and operational leaders to embed AI capabilities into our customer-facing platform, internal business workflows, and core processes. • Serve as the ultimate technical authority for our data and AI infrastructure, making critical architectural decisions across MLOps pipelines, LLM orchestration frameworks, and distributed data systems. • Oversee the development of a scalable corporate data platform that serves as the foundational bedrock for all AI and machine learning capabilities. • Transform our internal knowledge base by building the systemic data architecture needed to turn unstructured information into intelligent, easily searchable, and actionable assets. • Re-build and evolve our company-wide data structures and connectivity pipelines to be optimized to deploy, run, and maintain AI models efficiently while lowering cost-to-serve. • Set the company wide tooling standards, maintain technical quality guardrails, and establish engineering best practices for embedded AI specialists working within distinct business units. • Actively support the implementation of key local solutions built by decentralized specialists, ensuring they have the tools and centralized platform support required to succeed. • Maintain high levels of ethical compliance by ensuring all global AI initiatives strictly adhere to data privacy, platform security, and ethical compliance standards. • Educate and empower teams across the organization to scale their own AI use productively, providing them with the structural frameworks needed to safely build and innovate within their functions. • Partner deeply with the People and Operations functions to champion organizational AI capability, replacing operational uncertainty with structured technical training loops that convert manual specialists into power-users of automated solutions. • Drive the organizational change management and literacy efforts required to reshape daily workflows, shifting company culture and habits from traditional manual processes to AI-assisted operations.
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• Own pipeline and infrastructure work from intake through production • Build and maintain ingestion and transformation pipelines from operational systems, third-party APIs, and event streams into the warehouse • Turn product and business requirements into specifications and well-modeled datasets • Write and maintain Terraform for the AWS resources your pipelines run on • Use CI/CD to ship pipeline and infrastructure changes safely and often • Build data quality checks, unit tests, and integration tests for the pipelines you own • Use modern tooling, including AI assistants, to move faster on development, testing, and documentation • Build datasets and reporting layers for product features, BI, and operational reporting • Work with Product, Engineering, Operations, Sales, and Compliance so data solutions actually fit the downstream use case • Write the runbooks and documentation that on-call teammates and stakeholders will rely on • Watch your pipelines in production and fix issues before someone has to ask • Keep up with what is changing in data engineering, cloud infrastructure, and fintech compliance
Role Description ADTRAV is seeking a Principal Data Engineer to be responsible for leading the design, development and implementation of components within ADTRAV’s business intelligence application. This position has access to data as part of a government contract, and it is a requirement of the contract for individuals to be a U.S. citizen. Candidates must be able to show proof upon hire that they meet this requirement. In addition, this position is required to pass a government clearance process. - Lead the design, development, and implementation of major components of the RezIntel platform. - Work with cross-functional teams to gather requirements and understand data needs. - Implement data ingestion, storage, and processing solutions for structured and unstructured data. - Ensure the data storage system is scalable and highly available. - Develop and maintain data pipelines and ETL/ELT processes. - Maintain a strong understanding of a data lifecycle. - Conduct data modeling and create documentation like data definitions, data flow diagrams, and process definitions. - Automate and ensure data quality. - Design and develop database objects, tables, stored procedures, views, and ETL pipelines. - Conduct performance tuning of T-SQL, including stored procedures, views, functions, etc. - Mentor and instruct other engineers on best practices. - Analyze, solve, and correct issues in real-time. - Provide engineering estimates. - Use Agile development tools to track and communicate project progress. - Stay up to date on new information technologies and emerging trends, and their possible application in the company. - Work non-standard business hours to attend meetings and provide support via text/phone/email in a 24/7/365 environment. - Represent ADTRAV by embracing the company values and maintaining effective working relationships with employees, partners, vendors, and clients. - Adhere to company policies and procedures. - Other duties as assigned. Qualifications - Bachelor’s Degree in related field or equivalent experience required. - 10+ years of experience in ETL technologies and concepts like SSIS and Python/Pandas. - 8+ years of experience in Data Warehousing, DataVault, and Data Mart concepts and implementation especially in relational databases like SQL Server. - Ability to mentor engineering teams on best practices. - Strong SQL knowledge and work experience with relational databases such as Microsoft SQL Server, or PostgreSQL. - Experience in architecting, crafting, and developing highly scalable distributed data processing systems. - Experience architecting DataVault and/or Kimbell systems. - Experience in using visualization and reporting tools such as SSRS, Qlik Sense, and PowerBI. - Experience implementing data solutions in Azure and on-prem data centers using ETL tools, queues, batch scheduling services and various storage solutions. - Background in data analysis and data modeling. - Experience in Agile SDLC methodologies (Kanban and Scrum). - Experience building and deploying applications using continuous integration pipelines and automated deployment tools such as Azure DevOps, etc. - Hands on experience with Python, Pandas, and other Python ETL tools required. - Ability to estimate the work required and deliver the project on schedule as estimated. - Experience with source control such as Git or TFS. - Experience with issue tracking systems such as Jira or Azure DevOps. - Ability to learn ADTRAV’s business and products quickly and adapt to a dynamic development environment. - Excellent English written and verbal communication skills. - Ability to communicate ideas and concepts clearly and concisely, while also being open to receive feedback and direction as needed. - Highly self-motivated and able to prioritize and manage multiple tasks with varying deadlines. - Able to work in a fast-paced environment while balancing both strategic and tactical responsibilities. - Detail oriented with strong organizational and analytical skills. - “Can do” problem solving mentality, while still respecting standards, quality, and security. - Able to present a professional and positive demeanor with internal and external customers/clients and work cooperatively. - Ability to work remotely and meet the company home-office requirements, including stable, high-speed internet. - Able to maintain confidentiality of company and client information. - Able to work outside of normal business hours and provide 24/7/365 support to team. - Able to successfully pass a credit, criminal, and/or employment reference background check. - Able to successfully pass a government clearance process as required by clients. Benefits - Salary range for this position is $140,000-160,000 a year but consideration may be given outside of this range. - Pay is based on experience with the role and with the required applications/technologies. - ADTRAV offers a competitive benefits package that includes: - Medical - Dental - Vision - Life - Disability - Flexible Spending Accounts - 401(k) - PTO Company Description ADTRAV Travel Management, founded in 1977, has over four decades of experience in managing corporate, government, vacation, group, meetings, and incentive travel programs across the United States. We have experienced steady growth throughout our history and are currently ranked as one of the top business travel management companies in the country.
• Collaborate closely with the development team to deploy and maintain application infrastructure. • Assist in the development and support of tooling to streamline the deployment and maintenance of our products. • Work with Kubernetes, Docker, and Helm to deploy applications from development through to production environments. • Support both in-house and third-party applications, including handling deployments, upgrades, and troubleshooting. • Write and manage automation pipelines for application deployment and maintenance. • Engage in the day-to-day management of Linux servers via the command line. • Document processes and best practices clearly and concisely. • Assist in deploying, monitoring, and maintaining data pipelines, ETL/ELT processes, and data infrastructure. • Collaborate with data engineers to support data workflows and ensure timely and accurate data delivery.
Cervello, Inc. prides itself on providing a culture where our employees belong and thrive equally, which means our people feel comfort, confidence, and joy as they do great things for our firm, our colleagues, and our clients. That’s why Cervello, Inc. is committed to building a diverse workforce and inclusive environment. Cervello, Inc. is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race or ethnicity, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities or religious beliefs and practices. We encourage everyone to apply, including those who may not feel historically represented in consulting.
Role Description Sr. Data Engineer (Boston MA) wanted for business analytics and planning co. Requires Masters in Computer Science or Electrical Engineering. Remote employment possible, work from anywhere. To apply please mail your resume to the Cervello office at: 155 Seaport Blvd Floor 2 Boston, MA 02210 Base salary range: $140,130 - $160,000. It is important to note that at Cervello, Inc. it is not typical for an individual to be hired at the top of the range for their role. Individual salaries within each range are determined through a wide variety of factors, including but not limited to education, experience, knowledge, and skills. Cervello, Inc. reviews compensation regularly and may adjust base salaries to reflect market competitiveness. In addition to salary, individuals may be eligible for a discretionary performance bonus. Qualifications - Masters in Computer Science or Electrical Engineering Requirements - Remote employment possible, work from anywhere Benefits - Paid time off - Paid sick leave - 401(k) match and profit sharing - Medical, dental, and vision coverage - Healthcare concierge services - Backup child/adult care - Annual employer HSA contributions - Home office stipend - Subsidized gym membership - Annual wellness program - Leaves of absence when needed to support employees’ physical, mental, and emotional well-being Company Description Cervello, Inc. prides itself on providing a culture where our employees belong and thrive equally, which means our people feel comfort, confidence, and joy as they do great things for our firm, our colleagues, and our clients. That’s why Cervello, Inc. is committed to building a diverse workforce and inclusive environment. Cervello, Inc. is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race or ethnicity, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities or religious beliefs and practices. We encourage everyone to apply, including those who may not feel historically represented in consulting.
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Python, AWS, SQL, BigQuery, Cloud, Microservices
