Lead Data Engineer

About Us:Zora is a revolutionary on-chain social network that empowers individuals to express themselves freely, connect with a diverse community, and unlock the potential of their creativity. We are committed to utilizing cryptocurrency to create a more equitable ecosystem for creators, fundamentally reimagining the power of the internet.Our goal is to make Zora accessible to everyone through an engaging, user-friendly, and rewarding consumer application. Our mission is to ensure that creating online is both free and valuable.About The Role:We are seeking a talented Lead Data Engineer to develop the data infrastructure that fuels our Trade Platform. As our on-chain social network expands, it is essential to have robust data systems capable of processing billions of trading events, calculating real-time earnings, optimizing liquidity, and identifying the best trading opportunities for our users. You will be working at the intersection of blockchain data, high-volume trading systems, and consumer social products to establish the data foundation that supports our creator economy.This is a high-impact position where you will take ownership of the complete data architecture for trading, from analyzing blockchain events and user activities to delivering real-time analytics to millions of users.What You'll Do:Design and build scalable data pipelines for ingesting, processing, and transforming blockchain data, trading events, user activities, and market signals at high volumes with low latency.Architect and maintain data infrastructure that powers real-time trading analytics, P&L calculations, leaderboards, market cap tracking, and liquidity monitoring across the platform.Manage ETL/ELT processes that convert raw on-chain data from various blockchains into clean, reliable datasets used by product, engineering, analytics, and ML teams.Create and optimize data models and schemas that support both operational systems (providing live trading data) and analytical use cases (analyzing market dynamics and user behavior).Establish data quality frameworks that include monitoring, alerting, testing, and validation to ensure pipeline reliability and data accuracy at scale.Collaborate with backend engineers to design event schemas, data contracts, and APIs that facilitate real-time data flows between systems.Partner with product and analytics teams to understand data requirements and translate them into effective engineering solutions.

Role overview Atticus seeks a Lead Data Engineer to shape and deliver the data infrastructure that powers analytics and business intelligence. This position is fully remote and centers on both hands-on technical work and team leadership. What you will do Design and build data processing frameworks to support analytics and reporting needs Guide and mentor a team of data engineers and analysts Ensure the delivery of reliable, high-quality data solutions across the organization Work closely with stakeholders to understand business requirements and provide data support

Jobgether is looking for a Lead Data Engineer who will work remotely from anywhere in the United States, including Florida. This position centers on building and maintaining data pipelines and architectures that support the company’s analytics and decision-making. Role overview The Lead Data Engineer will design, develop, and manage systems that move and organize data efficiently. The work involves collaborating with teams across the company to ensure data is accurate, accessible, and ready for analysis. What you will do Create and maintain scalable data pipelines Develop architectures that support data collection and analysis Work with cross-functional teams to ensure data is reliable and available Apply best practices in data management and engineering Requirements Experience leading or significantly contributing to data engineering projects Strong background in designing and maintaining data pipelines and architectures Ability to collaborate with technical and non-technical teams

Role overview jobgether seeks a Lead Data Engineer to join the team remotely from Florida. This position centers on building and improving data pipelines and architecture, supporting scalable data solutions. The Lead Data Engineer plays a key part in shaping data strategy while ensuring integration and processing stay reliable and efficient. What you will do Design, develop, and optimize data pipelines and infrastructure Guide the team in integrating data sources and maintaining high standards for data processing Mentor junior engineers and contribute to their technical growth Collaborate with colleagues across engineering and other departments to deliver data-driven solutions Promote and apply best practices in data engineering Requirements Proven experience leading data engineering projects and teams Strong background in building and optimizing data pipelines and architecture Ability to work effectively with cross-functional teams Interest in mentoring and developing junior engineers Remote work This role is fully remote and based in Florida.

Located in San Francisco, Arine is an innovative and rapidly expanding healthcare technology and clinical services firm dedicated to delivering the safest and most effective treatments tailored to the evolving needs of individuals.In the healthcare landscape, medications can sometimes do more harm than good. The mismanagement of drugs and dosages results in over $528 billion wasted annually in the U.S. healthcare system. Arine is transforming healthcare standards by addressing these challenges through our advanced software platform (SaaS). We leverage state-of-the-art data science, machine learning, AI, and deep clinical knowledge to create a patient-centered approach to medication management, facilitating the development and delivery of personalized care plans at scale for patients and their healthcare teams.At Arine, we are passionate about enhancing the lives and health of complex patients who significantly influence healthcare costs and have been historically difficult to reach. These individuals face a myriad of challenges, including complex medication prescriptions across various providers, chronic disease medication management, and barriers to accessing care. Supported by top healthcare investors and partnerships with leading healthcare organizations, we provide actionable recommendations and initiate clinical interventions that yield substantial health improvements for patients and cost savings for our clients.Why Choose Arine as Your Workplace?:Collaborative Team Culture - Our shared mission drives our collective efforts, inspiring us to excel in our work. We are passionately committed to the innovation necessary to lead in medication intelligence.Impactful Contribution to Healthcare - We are saving lives and empowering individuals to achieve better health outcomes.

Secret clearance requiredAbout AretumAretum is a forward-thinking organization dedicated to providing cutting-edge, technology-driven solutions to clients across the defense, civilian, and homeland security domains. Our teams thrive at the intersection of strategy, technology, and transformation, empowering agencies to tackle their most pressing challenges. We prioritize investing in our workforce and fostering a culture centered on collaboration, inclusion, and professional development.Job OverviewAs a federal consulting organization, Aretum requires its employees to handle Controlled Unclassified Information (CUI) and comply with relevant safeguarding and compliance protocols. All team members may also support proposal efforts, which may involve resume formatting, skill alignment summaries, participating in meetings, or contributing to solution development based on their expertise.Key ResponsibilitiesLead the development of data pipelines and platforms, including writing and reviewing high-quality production code.Oversee the complete delivery process for assigned pipelines and services.Design, enhance, and maintain ETL/ELT pipelines for large-scale data ingestion and transformation.Implement CI/CD practices and automated testing for data pipelines, ensuring integration tests, data validation, and release workflows are in place.Establish operational readiness for production data workflows.Optimize pipeline and storage performance and cost through tuning, partitioning, and right-sizing workloads within AWS GovCloud.Contribute to and apply modern data architecture patterns, including lakehouse methodologies.Support Department of Defense strategic initiatives and enterprise data modernization efforts through robust architectural implementation.Drive the creation and maintenance of data transformation roadmaps and technical documentation; assist with data maturity assessments and current-state analyses across various agency programs.Translate technical methodologies into clear, business-friendly frameworks and actionable recommendations.Collaborate with cross-functional teams and program offices to clarify data requirements, facilitate data-driven decision-making, and convert technical approaches into comprehensible business frameworks.Assist in delivering leadership priority initiatives (e.g., childcare forecasting, Military OneSource analytics, readiness dashboards) and design data solutions that effectively connect outreach efforts to program engagement and readiness outcomes for users with diverse technical expertise.

Mark43 is authorized to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time.At Mark43, our mission is to empower communities and their governments with innovative technologies that enhance safety and quality of life for all. We create robust, scalable, and elegant software that sets a new benchmark for the tools relied upon by first responders. Our user base is diverse, and we are committed to fostering diversity of thought and experience within our team.We are seeking a Lead Data Engineer to become part of our dynamic team. This pivotal role requires a blend of technical leadership and hands-on execution. You will significantly influence the evolution of our data infrastructure while mentoring team members and collaborating cross-functionally to drive analytical innovation across the organization.

Jobgether is searching for a Lead Data Engineer to join the team remotely from Idaho. This position centers on guiding data management projects and supporting the company’s data strategy. Role overview The Lead Data Engineer will work closely with colleagues from different departments to design and build scalable data solutions. In this role, mentoring junior engineers and sharing technical knowledge are important parts of the day-to-day work. What you will do Lead data management initiatives across the organization Collaborate with cross-functional teams to develop and implement scalable data systems Support and mentor junior engineers as they grow their skills Contribute expertise to shape and advance Jobgether’s data strategy Work environment Jobgether values creativity, collaboration, and an inclusive culture. Every team member’s ideas and contributions matter here.

Join c-the-signs as a Lead Data Engineer and take charge of architecting, developing, and scaling our innovative healthcare data platform. In this pivotal role, you will spearhead the design of robust data pipelines, modernize our data architecture, and ensure the high-quality ingestion and transformation of clinical and operational data. You will work in close collaboration with product management, analytics, clinical informatics, machine learning, and engineering teams to deliver reliable, timely, and compliant insights.This hands-on leadership position is perfect for those who enjoy guiding technical direction while actively contributing code and assisting stakeholders in navigating complex healthcare data challenges.ResponsibilitiesArchitecture & StrategyLead the design and evolution of our cloud-native data platform primarily utilizing Google Cloud Platform, including BigQuery, Cloud Storage, Pub/Sub, Cloud Run, Airflow (Cloud Composer), and Healthcare API.Guide strategic decisions regarding multi-cloud or AWS interoperability when necessary.Establish and uphold data engineering best practices, coding standards, and architectural patterns.Pipeline DevelopmentConstruct scalable ETL/ELT pipelines employing dbt for transformations and Airflow for orchestration.Create ingestion pipelines for clinical and administrative data in HL7, FHIR, DICOM, and custom formats.Develop ingestion and transformation pipelines to facilitate AI/ML development and model training.Implement both streaming and batch dataflows using Pub/Sub, Dataflow, and serverless compute.Support or guide integrations with AWS-based partner systems or AWS-hosted data sources when necessary.Data Modeling & WarehousingDesign and maintain BigQuery datasets, semantic layers, and warehouse structures.Utilize industry standards such as FHIR resources for canonical healthcare models.Provide insights on data modeling and warehouse best practices across both GCP and AWS ecosystems.Data Quality, Observability & GovernanceImplement data quality frameworks, automated testing, and monitoring systems.Ensure adherence to HIPAA compliance and the appropriate handling of PHI/PII throughout all pipelines and cloud environments.Promote lineage, documentation, metadata governance, and adoption of dbt documentation standards.Leadership & CollaborationCollaborate with analytics, product, clinical informatics, and security teams to deliver high-quality, reliable data products.Offer oversight and technical guidance for multi-cloud data integrations with AWS-based systems or partners.Assist in recruiting and developing junior data engineers.

Tiger Analytics is a rapidly expanding advanced analytics consulting firm that specializes in delivering exceptional insights through Data Science, Machine Learning, and Artificial Intelligence. Our team possesses profound expertise, making us a trusted analytics partner for numerous Fortune 500 companies, empowering them to derive substantial business value from their data. Our leadership and contribution to the analytics field have been recognized by prominent market research firms such as Forrester and Gartner. We are on the lookout for outstanding talent to enhance our global analytics consulting team.As a Lead Data Engineer, you will play a pivotal role in architecting, constructing, and sustaining scalable data pipelines within the AWS cloud ecosystem. You will collaborate with diverse teams to facilitate data analytics, machine learning, and business intelligence projects. The ideal candidate will bring extensive experience with AWS services, Databricks, and Apache Airflow.

At AST SpaceMobile, we are pioneering the first and only global cellular broadband network in space, designed to seamlessly connect standard, unmodified mobile devices. Leveraging our extensive intellectual property and patent portfolio, we aim to bridge the connectivity gaps for the five billion mobile subscribers currently in service, and ultimately reach out to the billions still without access.Position OverviewWe are on the lookout for a Lead Data Engineer, a pivotal role that involves serving as a senior individual contributor akin to a Staff or Principal Data Engineer. You will take full ownership of analytics data architecture and engineering standards while being an integral part of a high-impact analytics team dedicated to fostering data-driven decision-making across satellite network planning, capacity, demand forecasting, network operations, and performance analytics.The Lead Data Engineer will be responsible for designing, building, and maintaining scalable, production-grade data pipelines and analytical infrastructure. This ensures that high-quality, reliable data is consistently available to support global planning and operational workflows. This role defines the ingestion, modeling, governance, and consumption of operational, network, and business data, transforming complex and diverse datasets into trusted, decision-ready analytics assets.While this position does not include direct people management, it carries substantial technical ownership and influence. As the Lead Data Engineer, you will drive architectural strategy, establish engineering best practices, and mentor analytics professionals, thereby enhancing data engineering maturity across the organization.

PM2CM, Inc. (Project Management to Construction Management) is a distinguished professional services firm and certified SBE and DBE, committed to delivering exceptional Program and Project Management, Construction Management, and Project Controls services throughout the design and construction phases of various projects. Our specialization in Project Controls encompasses Scheduling, Cost Controls, Document Management, Budget Tracking, Monitoring, Estimating, Risk Analysis, Claims Avoidance and Mitigation, Change Management, and Earned Value Management.Our mission is clear: to provide and deliver top-tier project management, construction management, and project controls services that empower our clients to proceed with confidence.To fulfill our mission, we prioritize a thorough understanding of project scope and our clients’ corporate needs. We are dedicated to delivering our services with integrity and exceptional professionalism, employing only the most qualified professionals.This role is remote with occasional in-person team meetings in Pomona, CA.About the Role:We are on the lookout for a seasoned Senior Data Engineering & Analytics Lead who will spearhead data strategy, construct scalable data infrastructures, and provide actionable insights that facilitate strategic decision-making across the organization.Key Responsibilities:Direct the design, development, and implementation of scalable data engineering solutions, including ETL processes, data modeling, and data pipeline architecture for extensive and intricate datasets.Utilize advanced analytical and statistical techniques to create forecasting, economic modeling, and performance analysis that addresses complex business challenges.Build intuitive dashboards and visual analytics utilizing Power BI, Excel (Power Query), SAS, and other BI tools to assist cross-functional stakeholders.Convert analytical insights into concise reports, metrics, and executive-level narratives that inform strategic operations and decisions.Conduct comprehensive project data analysis to uncover patterns, trends, and opportunities for process improvements and enhanced reporting capabilities.Develop and maintain detailed technical documentation and provide data support to leadership, operational teams, and business partners.Collaborate with IT and business stakeholders to ensure data quality, reliability, and governance.

Company SummaryArlo Solutions, LLC is a premier information technology consulting firm dedicated to providing innovative technology solutions. Our esteemed reputation is built on the exceptional quality and expertise of our talented team, working closely with clients to deliver customized, value-driven solutions. Our commitment is to understand and address the unique needs of our clients, enhancing business processes, reducing costs, and empowering organizations to gain a competitive advantage for the future.Position OverviewThe Lead Data Engineer plays a critical role in providing technical leadership for the design, development, and maintenance of enterprise data solutions supporting Department of War (DoW) and Intelligence Community mission systems. The ideal candidate will be responsible for architecting and implementing scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines within secure cloud environments, facilitating advanced analytics and business intelligence initiatives.Location: Pentagon (Onsite - Arlington, VA)Clearance: Active TS/SCIJob Responsibilities:Design, develop, and maintain scalable data pipelines utilizing Python, SQL, and Databricks (Apache Spark).Integrate structured and unstructured data across AWS and Azure cloud environments (NIPR, SIPR, JWICS as applicable).Implement data quality controls, monitoring processes, and governance standards.Support data ingestion into enterprise analytics platforms (e.g., Advana or similar).Develop and manage executive dashboards using enterprise BI tools (Qlik, Power BI, Tableau).Automate workflows using Azure Data Factory, Databricks notebooks, or equivalent tools.Configure and manage cloud security controls in accordance with DoD policies.Provide technical leadership, conduct design reviews, and mentor junior staff.

Experian is seeking a Lead Data Engineering Analyst/Scientist to join its United States team. The position centers on creating and maintaining data solutions that enable teams to transform information into practical insights. Role overview This role involves collaborating with colleagues from various departments to design, develop, and support data pipelines and architectures. The work directly supports business decision-making by ensuring reliable and accessible data flows throughout the organization. What you will do Build and maintain data pipelines that collect, process, and deliver information for analysis Design data architectures that support ongoing business needs Work with cross-functional teams to translate data into actionable insights Location This position is based in the United States.

Role overview Jobgether is hiring a Remote Lead Data Analyst located in Connecticut. This role focuses on transforming complex data into insights that guide company strategy and daily operations. Collaboration is key, as the Lead Data Analyst partners with teams across the business to support data-based decisions and help projects reach their goals. What you will do Examine large and diverse datasets to identify trends, patterns, and new opportunities Share clear, actionable findings with stakeholders to inform strategic decisions Work with colleagues from multiple departments to create and implement data-driven solutions Apply analytical expertise to refine processes and improve project results Location This position is remote and open to candidates based in Connecticut.

AECOM is on the lookout for an experienced Electrical Engineering Lead with expertise in Hyper-scale Data Centers to join our team. In this pivotal role, you will lead the design, implementation, and maintenance of electrical systems in extensive data centers.The ideal candidate will demonstrate a robust background in electrical engineering, particularly in high-density data center environments, and will be crucial in guaranteeing the reliability, efficiency, and safety of our electrical infrastructure.This position allows for a flexible remote work schedule, with the possibility of being based from various locations across the U.S. where AECOM has offices.While primarily remote, occasional travel may be required for client meetings, key project milestones, and collaboration sessions. Travel will be scheduled in advance and is expected to be infrequent.AECOM is a leader in the global data center consulting sector, boasting strong teams across the Americas, Europe, Africa, Asia, and Australia. In this role, you will collaborate with worldwide teams on high-profile, fast-paced data center projects for an array of global clients. This is a hands-on, client-facing position that offers significant opportunities for professional growth.

Role overview Jobgether is searching for a Lead Remote Data Analyst based in Colorado. This role guides data analysis projects and plays a key part in shaping business strategy by providing evidence-based insights. What you will do Oversee data analysis projects from initial concept through final delivery Collaborate with teams across the company to support informed decision-making Mentor junior analysts and help them develop their skills Requirements Experience leading data-focused projects Comfort working with others and supporting collaborative efforts Interest in mentoring and helping others grow Enjoyment of working with data and seeing its impact on real business decisions

Role: Data Engineering LeadLocation: Remote (USA)About MediaRadarMediaRadar is a pioneering leader in the realm of Marketing Intelligence. Our integration with Vivvix enriches our capabilities, equipping businesses with crucial insights that fuel marketing and sales strategies for competitive advantage. With our state-of-the-art marketing intelligence platform, clients are empowered to optimize their performance through continuous insights that encompass media, creativity, and business strategies, impacting over 5 million brands across more than 30 media channels and managing a staggering $275 billion in media spend.Role OverviewThe Data Engineering Lead will serve as a dynamic, hands-on

jobgether is looking for a Lead Data Analyst to join the team in a fully remote role based in Columbia. This position centers on applying analytical expertise to guide better decisions and strengthen company operations. Key responsibilities Collaborate with teams throughout the organization to identify trends and patterns in data Present insights that inform business strategies Create recommendations that align with company objectives and drive operational improvements Role focus This role emphasizes working with data to support smarter decision making and enhance how jobgether functions day to day. The Lead Data Analyst will play a central part in translating data findings into actionable steps for the business.