Remote Data Engineering & Analytics Jobs

Senior Data Consultant We are seeking a Senior Specialist – Industry 4.0 & Manufacturing Data to act as a technical authority and strategic advisor across digital manufacturing initiatives. This role blends deep technical expertise, regulated-industry rigor, and client-facing leadership, supporting both delivery excellence and the growth of Deep Digital’s Industry 4.0 services. Location: Remote - Ireland Main Responsibilities: Act as a trusted senior advisor to clients on Industry 4.0, manufacturing data, and digital transformation Lead development of digital transformation strategies and roadmaps, including: Manufacturing Data Platforms & Historians Unified Namespace (UNS) and event-driven architectures OT/IT integration and cloud/hybrid data strategies Guide technology selection and architecture across: Data integration, streaming, and contextualisation platforms MES, LIMS, QMS, CMMS, and Enterprise integrations Control systems and OT platforms Advanced analytics, AI/ML, and digital twin use cases Embed data, validation, and governance strategies into project designs in collaboration with internal engineering teams and client stakeholders Lead small, multidisciplinary teams delivering projects from concept through design, validation, and handover. Job benefits: Hybrid working 22 days Annual Leave 5% Pension Paid Sick days Income Protection Life Insurance Professional development Requirements Qualifications: Bachelor’s or master's degree in data science, Computer Scie

Deep Digital are seeking a highly skilled and experienced Senior Data Engineer with a proven track record in successfully implementing, optimizing, and maintaining the data integration and historian systems. The ideal candidate will possess in-depth knowledge of industrial processes, data historian best practices, and a strong ability to lead and mentor junior team members. This role involves advanced technical responsibilities and collaboration with cross-functional teams to ensure the seamless operation of data integration and historian systems. Responsibilities Lead the design, implementation, and optimization of data historian solutions. Lead efforts to integrate historian systems with various control systems and third-party applications. Conduct performance analysis and implement strategies for continuous improvement. Design and configure complex data tags to meet specific project requirements Develop custom interfaces and connectors to enhance data integration capabilities Develop and implement advanced security measures to protect historical data. Ensure compliance with industry standards and regulations, taking a lead role in audits and assessments Investigate and resolve complex issues related to data collection, storage, and retrieval. Provide technical leadership and mentorship to junior engineers in the team Maintain comprehensive documentation for all configurations, installations, and troubleshooting procedures. Comply with Deep Digitals Quality Management Syste

Job Summary: We are looking for a Palantir Data Engineer to join our data engineering team! We are seeking someone with experience in Palantir Foundry and PySpark or Python. In this role, you will design, develop, and maintain complex data pipelines, optimize data workflows within the Palantir platform, and collaborate closely with cross-functional teams to unlock data-driven insights. If you're passionate about working with cutting-edge technologies to tackle complex business challenges, this role is for you! Key Responsibilities: Design, build, and maintain scalable data infrastructure and pipelines within the Palantir Foundry ecosystem. Integrate, process, and manage large datasets from multiple sources, ensuring seamless data flow across the organization. Optimize data workflows and maintain high performance of data pipelines, leveraging Palantir's capabilities. Collaborate with Data Analysts and other teams to understand and implement technical data requirements. Ensure data quality, security, and compliance in all data operations. Troubleshoot, monitor, and resolve data issues to ensure smooth and efficient operations. Continuously explore and implement best practices in data engineering and keep up-to-date with Palantir's evolving tools and technologies. Requirements Required Skills and Qualifications: Proven experience in data engineering, data integration, and ETL/ELT processes, ideally within the Palantir platform. Strong proficiency in programming languages such as

We are the Microsoft Data Platform Competence Center – leading experts in Microsoft data technologies. Our team has hands-on experience with the full spectrum of modern data solutions including Azure Data Factory, Synapse Analytics, Microsoft Fabric, Power BI, Purview, Azure SQL Database, Databricks, Palantir, and more. We constantly learn, experiment, and refine our engineering practices, implementing new innovations across the data ecosystem. Our team has grown to 40 specialists operating in both the Czech Republic and Switzerland . What you will do as a PySpark Data Engineer Design, build and optimize scalable data pipelines using Python & PySpark Work with modern data platforms ( Palantir Foundry / Databricks / similar ) Integrate data from finance and insurance source systems Support data delivery for analytics and reporting solutions (e.g. Power BI) Ensure data quality, reliability and performance of pipelines Collaborate with Business, Analytics and Engineering teams Support deployment, monitoring and production operations What we expect Strong experience in Python & PySpark Experience with Spark-based data platforms (Palantir Foundry is a big plus) Solid experience in data engineering and building ETL/ELT pipelines Strong knowledge of SQL and large-scale data processing Experience from financial services (insurance is preferred) Experience with Git and CI/CD pipelines Good communication skills in English What we offer you Budget for personal development (cours

We are the Microsoft Data Platform Competence Center, leading experts in Microsoft data technologies. We have hands-on experience with all data technology trends, such as Azure Data Factory, Microsoft Fabric, Databricks, Power BI, Purview, SQL Database, Palantir, Oracle, and more. We are constantly learning new features and tuning our practices, thereby continually improving, testing, and implementing new innovations in data and AI. Our people are key to us. Our team already consists of 40 members and we operate in both the Czech Republic and Switzerland. We are looking for a Mid to Senior Data Engineer with strong Databricks knowledge to support a large financial institution in the design, optimization, and operation of big data solutions. This is a hands-on role, suitable for an experienced specialist who can work independently and take ownership of data pipelines. You will become part of a data team focused on scalable, production-ready solutions utilizing Databricks, PySpark, and Delta Lake, with an emphasis on automation, CI/CD, and DevOps / MLOps best practices. What awaits you: Design, development, and optimization of data pipelines on Databricks using PySpark and Delta Lake; Development and maintenance of robust and scalable big data solutions with an emphasis on performance and reliability; Support for automation and orchestration of data workflows using Jenkins; Applying DevOps / MLOps principles for smooth deployment and operation in a production environment; Participating in the optimization of production operations, including cost efficiency (FinOps); Working with Databricks Asset Bundles for standardization.

The role TetraScience is building the scientific data and AI cloud for biopharma. The platform is the innermost foundation for developing, delivering and operating our enterprise grade, secure, compliant Scientific Data and AI capabilities customers rely on. In this role, you will own the platform architecture, evolution and growth scaling across Enterprise Platform, Scientific Search, AI/ML Ops, Developer Platform, Developer Productivity, Lakehouse Platform, Partner Integrations and Cloud Infrastructure. This is a senior IC leadership role. You set technical direction, own the decisions that cross team boundaries, and close architectural gaps before they become business risks. After achieving strong product-market fit and traction, we are entering a growth scaling phase where we are expanding our industry partnerships and developer experience to rapidly build the foundations of AI-native scientific data and workflows in production. The scope of this role is intentionally broad. We are looking for experienced candidates who cover a majority of these areas. Strong candidates bring deep fingerprints in one of two architectural profiles, with meaningful range across both: Enterprise Data & AI Platforms: Multi-tenant architecture, RBAC/ABAC, IAM, tenancy models, observability platforms, internal builder platform, cost governance. Data, Knowledge, and Developer Products: Search, Semantic layer foundations, knowledge and ontology layers and products, external developer platform

Senior Oracle Database Administrator About the Role Conduent is seeking an Oracle DBA to manage the full lifecycle of Oracle database systems, ensuring availability, performance, and data security. The role spans on‑premises and cloud environments and requires deep knowledge of Oracle technologies, scripting, and collaboration with development and infrastructure teams Responsibilities Provide Database Administration support for business-critical applications in production and non-production environments. Ensure DB availability. Administer Oracle Databases on different operating systems including but not limited to: RHEL and Windows. Install and configure Oracle Server 19c/23i RAC on multi node systems Configure and maintain Oracle Cloud Control. Upgrade Oracle databases. Create a reliable backup strategy. Ensure database backups are appropriately executedProactively manage and maintain security standards and controls Apply Oracle patches that involve security patches / bug fixes in non-production and production environments. Administer Oracle Goldegate, create extract, replicate, monitor replication, troubleshooting. Ability to Implement Security measures include SSL and encryption. Develop and support database maintenance scripts. Develop and maintain database design and support documentation. Ability to configure Active Data guard and automatic failover using Data guard Broker. Ability to configure container and pluggable databases Provide 24x7 on-call support. Requirements

NOTE: Only for US residence Location Las Vegas Work Type Part Time Classification Human Resource Clerks Required Skills Strong people skills Excellent phone manner Be passionate about growing a small business Have a Can do attitude Preferred skills Work from home Flexible hourr Role Description Email Management/ Admin Answer calls Data entry Apply now for more information How to apply: Please apply using the link below. If we would like to proceed with your application, we will contact you and ask you to complete a short application test against the client's brief. Originally posted on Himalayas

The role supports the lead of a complex, group-wide HR Data Governance project as a trusted delivery partner. The person helps develop a practical approach to improving HR data quality and establishing effective governance across different business units and system landscapes. They do not lead the overall project, but take responsibility for coordinating work in their assigned area, supporting project delivery and turning governance concepts into workable processes. Key responsibilities HR data quality and governance Translate a data quality framework into practical requirements, rules, responsibilities, processes and measures. Coordinate the definition and implementation of data quality rules with the relevant business units and system owners. Identify, document, prioritize and track data quality issues and corrective actions. Adapt group-wide governance principles to different organizational structures, processes and systems. Bring together Data Owners, Data Stewards, HR teams, IT and other stakeholders. Prepare concepts, decision papers and status updates for the project lead. Capture lessons from pilots and translate them into repeatable standards and implementation steps. Project coordination and delivery Manage complex sub-projects or project workstreams within the assigned area. Define the approach for a project or sub-project and establish clear responsibilities. Coordinate project activities and processes in line with functional requirements and the agreed scope. Pla

Job details Salary $28 - $42 an hour Job Type Full-time Job Details Remote Type Optional Work from Home Education Level 2 Year Degree The Data Entry Specialist supports Patient Programs teams by entering client service data in the Medical Home Network portal system. The staff member translates medical record documentation into this external facing system to ensure that Erie meets all the grant objectives and agency goals related to care management activities. The Data Entry Specialist plays a key role in the teams performance and its ability to serve patients with the various needs that they may have. PRINCIPAL DUTIES AND RESPONSIBILITIES Works with Population Health Manager, Care Managers, Care Coordinators, SDOH Navigators, and SDOH Manager to create reports that capture needed data from the electronic medical record. Utilizing extracted data, performs data entry in the MHN Connect Portal to capture activities completed by patient-facing teams. Collaborate with other Patient Programs staff as needed. Participates in the establishment of quantitative goals to be achieved in the role. Escalates problems or challenges that arise as part of the role and documentation in MHN Connect. Perform other duties as assigned. QUALIFICATIONS High School diploma or equivalent required Associates degree or some college preferred Flexible education/experience requirements: Associates degree preferred or 3 equivalent combination of education and relevant work experiences required One year of

Job Summary: The data engineer designs and develops data models, collects and analyzes data for insights and communicates how those findings improve reliability, customer experience, profitability and other relevant factors. He / She also captures, transforms and stores clean data, leaving it ready for consumption. This role will be integral in ensuring the quality of the data collected, and the ability to leverage that data to create meaningful information for technical performance and strategic business decision making. It will provide the data insights and trends needed to evolve the product based on user behaviours and data trends. RESPONSIBILITIES AND DUTIES Ensure data requirements and delivery of robust and complete roadmap Assess data to determine strategic approach to data management and identify data dictionary Identify data security requirements and assess risk to determine security features Assess computational power required derived from data and analytics technology Estimate milestones, resources and costs Produce data via SQL and other programming tools Develop reports and dashboards Design and develop data and information structures Capture data and modify programs to extract information from company databases Engage with data scientists and translators to understand how data should be presented Improve data availability, acting as the link between the IT and analytics team KNOWLEDGE AND SKILLS SQL knowledge Deep knowledge of machine learning, statistics and o

Remote Data Entry-Clerk This is your opportunity to begin a lifelong profession with endless opportunity. Find the liberty you've been searching for by taking a moment to finish our online application. Benefits: Excellent w eekly pay Safe workplace Multiple shifts are readily available from morning to night and no experience is needed. You will have sufficient opportunity for growth Part-time offered - select the days you want to work A commitment to promote from within Responsibilities: Must be able to perform responsibilities with or without reasonable accommodation Perform all other tasks as assigned Assist in producing a positive, professional and safe work environment Qualifications: No experience, Willing to train Ability to work within recognized turn-around times Must have outstanding social skills and the ability to organize simultaneous tasks Ability to analyze and apply company policies and procedures Excellent verbal and written communication skills Ability to work both separately and within a group environment Ability to remain organized, regard to information, follow guidelines and multi-task in a professional and efficient way Originally posted on Himalayas

**CANADA BASED**(remote) As a Senior Data Analyst , you’ll be a key driver of insight and innovation within our Enterprise Data and Analytics team. We’re looking for a curious, detail-oriented professional who thrives on turning complex scientific and operational data into clear, actionable intelligence. In this role, you’ll lead the development of analytical solutions that illuminate critical KPIs, uncover performance trends, and support strategic decision-making across the business. You’ll partner closely with stakeholders to map business processes, align data solutions with real-world operations, and conduct deep-dive analyses that solve high-value challenges. This is a high-impact opportunity to shape how data informs strategy and contributes to our mission of creating healthier lives. As a Sr. Data Analyst you will be focused on: Our team thrives on curiosity, collaboration, and a commitment to excellence. We work closely with cross-functional engineering and business partners to deliver impactful data and analytics solutions that shape the future of research and development. In this role, primary responsibilities include: Analyzing complex scientific datasets to uncover meaningful insights and support strategic initiatives. Mapping key business process rules to ensure data solutions align with operational realities. Creating insight-driven solutions that bring visibility into critical KPIs and performance metrics. Conducting deep-dive analyses to solve challenging probl

100% Remote Data Entry Clerk Needed This is your opportunity to begin a long-lasting profession with endless opportunity. Find the freedom you've been looking for by taking a moment to finish our online application. Benefits: Excellent weekly pay Safe workplace Multiple shifts are available from morning to night and no experience is needed. You will have sufficient opportunity for growth Part-time available - choose the days you want to work A dedication to promote from within Responsibilities: Must be able to perform responsibilities with or without sensible accommodation Perform all other duties as designated Assist in developing a positive, professional and safe workplace Qualifications: No experience, Willing to train Ability to work within recognized turn-around times Must have outstanding social skills and the ability to arrange simultaneous tasks Ability to analyze and use company policies and procedures Excellent verbal and written... Originally posted on Himalayas

We are seeking a highly motivated Manager - Data Engineering to join our growing team. This role will report to the Director of Data Engineering and will lead a team of data engineers. The ideal candidate is a strong technical leader with a passion for mentoring others and delivering scalable, high-quality data solutions. You will collaborate closely with data analysts, data scientists, technology teams, and business leaders to design and implement robust data pipelines and platforms that support internal and external clients. With over a million managed lives across the country and terabytes of healthcare data generated, your leadership will be critical to empowering our organization with the tools and insights needed to drive innovation and improve patient outcomes. Our Values: Put Patients First Empower Entrepreneurial Provider and Care Teams Operate with Integrity & Excellence Be Innovative Work As One Team What You'll Do Lead and mentor a team of data engineers, fostering a culture of continuous learning, innovation, and operational excellence. Partner with cross-functional teams to design and implement scalable data pipelines and models aligned with business needs and industry best practices. Oversee the development, deployment, and maintenance of enterprise-grade ELT processes, data marts, and business intelligence assets. Own and evolve data quality frameworks, ensuring proactive monitoring, troubleshooting, and resolution of data issues. Champion the adoption of

The Audit Data Analyst supports the Compliance Audit team through data collection, transformation, reporting, process evaluation, and audit activities. Working closely with department leadership, directors, and staff, this role helps turn audit and documentation data into meaningful insights that support education, process improvement, regulatory compliance, and strong outcomes. The ideal candidate is comfortable working with data and systems while also communicating findings in a clear, collaborative, and solutions-focused way. Full-time, benefit eligible position. *Remote position open to Missouri residents only. This is a great opportunity for someone who: Enjoys finding meaningful insights within data and using those insights to support better processes and outcomes. Brings strong analytical and problem-solving skills to audit, compliance, and process improvement work. Likes working across teams to translate data and audit findings into practical education and opportunities for improvement. Is interested in the intersection of healthcare data, electronic health records, auditing, and regulatory compliance. Values accuracy, collaboration, continuous learning, and using information to support quality services. Key Responsibilities Support the planning and implementation of assigned audit projects and related compliance activities. Collect, transform, analyze, and report audit data to support meaningful outcomes and decision-making. Support documentation reviews, data analyt

About AlphaSense : AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit . Come join us. About the Team: The Financial Data team at AlphaSense is responsible for delivering the data foundation that powers our industry-leading market intelligence platform. We focus on sourcing, integrating, and surfacing structured datasets that enable clients to discover and act on insights in new ways. Our team is dedicated to delivering these datasets directly into our clients' most critical workflows. About the Role: We are seeking a Product Manager to own and define the next generation of our financial data offerings, with a specific emphasis on Private Markets, including Sharehol

Position OpsGuru, a Carbon60 Company is a global engineering and consulting group. We are experts in the data, machine learning/artificial intelligence, and cloud-native technologies space. OpsGuru empowers customers with technology to solve their unique business challenges, navigating them towards success in their digital transformation. OpsGuru's value to our customers centers around our ability to provide deep technical guidance based on their business needs. Principal Data&AI Architects are expected to provide deep business and technical expertise with focus on Data Analytics, Artificial Intelligence and Machine Learning including Data Governance and Compliance. Principal Data&AI Architects are expected to have strong general business acumen, enabling them to confidently discuss every stage of the technology adoption cycle with stakeholders ranging from the CEO down to individual contributors and should be able to bridge technical solutions to measurable business outcomes—such as revenue growth, operational efficiencies, or improved customer experiences. OpsGuru Principal Data&AI Architects are assigned to several strategic accounts and are expected to work with their clients to become trusted technical advisors. Our Principal Architects are thought leaders and are able to guide and challenge clients in a respectful manner to ensure they receive the highest level of value from their technology investments. Principal Architects are expected to have experience p

Build and scale the data infrastructure for a fast-growing, profitable health-tech company. In this role, you will design the robust pipelines, storage architectures, and data models that ensure our datasets are accurate, secure, and ready to drive critical decisions helping millions of insured Americans access their medications. We are hiring a Senior Data Engineer to own the evolution of the data platform. You will be responsible for moving our client toward modern data engineering standards—structuring our warehouse, enforcing clean data modeling practices, and managing our infrastructure via code. What You’ll Do Design and implement scalable data models in Snowflake utilizing modern frameworks like the Medallion Architecture (Bronze/Silver/Gold layers). Build, maintain, and optimize robust data transformation pipelines using dbt. Provision, manage, and scale cloud infrastructure securely using Terraform. Develop high-quality data ingestion and orchestration pipelines using Python and Openflow (Apache NiFi) within an AWS environment. Enforce software engineering best practices with Git (GitHub/Bitbucket) and manage secure access controls via Microsoft Entra. Must-Have Experience & Skills Deep experience writing, testing, and documenting complex dbt models. Experience configuring, querying, and optimizing Snowflake data warehouses. Strong conceptual understanding and practical application of data warehouse modeling (e.g., Kimball, Medallion Architecture). Strong Python

What we are building Overmind ’s mission is to enable more developers to enter web3, build ground-breaking products, and access rare opportunities. We believe that one of the biggest drags on crypto’s growth is the friction and uncertainty that developers face in the transition from web2 to web3. Overmind makes it easy for everyone, regardless of what coding experience they have, to continue to learn, earn, and grow through a series of quests, and find their next role in web3. Overmind quests are designed in partnership with web3 companies hiring in collaboration with Overmind , including start-ups from within the Aptos ecosystem. Quests range in complexity, length, and subject matter, making learning web3 accessible for people at all stages of their development journey. The Overmind is formed by the collective intelligence of those bold enough to join it. Enter at . The Role You will be responsible for managing the company’s user acquisition and retention funnels. You will develop, implement, track, and optimize user acquisition campaigns across multiple platforms. You will own our BI and CRM dashboards and measure the success of our marketing channels and efforts. We expect you to run experiments and iterate on the highest ROI growth strategies. You will work closely with a small team and take ownership of important projects from the get-go. Skills & Experience Essential Requirements Mastery of SQL and data analysis Love for BI and dashboards Highly analytical problem-s

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Int

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall ’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall , you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall : We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here. We are looking for an en

Description Employment Type: Full-time Location - Global -Remote Shift Options: Thursday to Monday Wednesday to Sunday Monday to Thursday Data Center Network Engineer As a key member of the team, you will lead the planning, design, and implementation of advanced data center network solutions for customers. You will architect high‑performance infrastructures that support AI Factories, large‑scale accelerated computing , and enterprise data center environments . In this role, you will also identify opportunities to improve technology adoption and provide feedback to both engineering and product marketing to help shape technical strategy. What You’ll Be Doing Delivering expert Ethernet guidance throughout the customer engagement lifecycle—designing, architecting, and validating modern data center networks. Collaborating with cross‑functional teams to support server infrastructure , GPU‑accelerated workloads , and AI/ML deployments . Creating and evaluating DevOps automation to streamline network operations, including configuration templates, deployment pipelines, and switch provisioning. Implementing and validating network architectures across customer data centers, ensuring scalability, reliability, and performance. Supporting customer design workshops, testing cycles, and Proofs of Concept (PoCs). What We Need to See 7+ years of hands‑on networking experience , including Layer 2/Layer 3 fundamentals, Ethernet switch configuration, TCP/IP concepts, and data center architectures

We’re expanding across Mexico, Brazil, Argentina, Colombia, Chile , and Peru , and we’re looking for an experienced Clinical Data Manager to help build the foundation of our growing LATAM Data Management team, ensuring the delivery of high-quality clinical data that drives successful clinical trials and accelerates innovative therapies to patients. Position Summary: The Senior Clinical Data Manager/Principal Clinical Data Manager is responsible and manages all aspects of the clinical trial data management process from study start up to post database lock for assigned projects. Standard Operating Procedures / Work Instructions (SOPs/WIs); regulatory directives; study specific plans and guidelines will be followed. This position will also oversee and/or perform database development and testing. Essential functions of the job include but are not limited to: Primary Data Management (DM) contact (Lead DM role) for assigned clinical project(s) / program(s), ensuring that there is back-up, continuity, responsiveness, and that tasks are performed in a timely manner. May support another Lead DM as a back-up and/or team member. May include DM oversight of sponsor programs. Oversee project data entry process including development of data entry guidelines, training, data entry quality and resourcing May perform quality control of data entry Provide input, assesses and manage timelines. Ensure that clinical data management deadlines are met with quality. Assess resource needs for assigned