data engineering lead

OhioHealth

<div><p><b>We are more than a health system. We are a belief system. </b>We believe wellness and sickness are both part of a lifelong partnership, and that everyone could use an expert guide. We work hard, care deeply and reach further to help people uncover their own power to be healthy. We inspire hope. We learn, grow, and achieve more &ndash; in our careers and in our communities.
</p><p></p><p><b>Job Description Summary:
</b></p><p></p>Looking for an experienced Lead Data Engineer with background in Informatica ETL and Cloud technologies. In this senior role, tech lead will be responsible for overseeing the architecture, development, and maintenance of our data platform, ensuring data quality and efficiency.
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Serves as the primary subject matter expert within their respective Information Technology team, with deep knowledge of the applications and technology that their team is responsible for.
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Collaborates with the business analysts, architects, vendor partners, and other teams across the IT organization to deliver complex applications and services.
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Provides technical expertise by enforcing the vision of the application or service architecture and safeguarding the integrity and security of the application environment in collaboration and partnership with architects and other tech leads.
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In addition, the incumbent will lead code or design reviews, analyze results, and make a recommendation to deliver quality products.
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Project work may include application development, API tooling, and system design to enable external applications with database secure access to RDBMS or No SQL, and related tasks.
<p></p><p><b>Responsibilities And Duties:
</b></p>15% Collaboration - Works with architects, Business Analysts, Product Owners, and peers providing technical expertise by enforcing the vision of the application architecture and safeguarding the integrity of the application environment. Reviews and provides input into architectural designs and requirements.
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15% Functional Subject Matter Expertise - Functions as a subject matter expert and advocate for the software applications supported.
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30% Technical Expertise - Serves as the deep technical expert for the applications supported by team.
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<ul><li>Support cross team technical collaboration
</li><li>Identify risks and design contingency plans
</li><li>Analyze existing operations and evaluate options for improvements
</li><li>Conduct security audits to identify areas of improvement
</li><li>Guides their teams through technical issues and challenges
</li><li>Assists with designing the governance, quality assurance and standards activities associated with ensuring technology architecture compliance of projects and products.
</li><li>Leads technology change to deliver business outcomes while also virtually leveraging subject matter experts from any other needed technical area.
</li><li>Oversees, or consults on, technology implementation and modification activities (for example, projects and products), particularly for new or shared solutions.
</li><li>Creates and delivers working, production-ready IT services that can be easily leveraged by agile teams
</li><li>Adaptability to new and emerging technology, oversees PoCs
</li><li>Provides the detailed designs, reviews the implementation by the developers, ensures quality, and best practices such as automated unit tests, integration tests, continuous integration
</li></ul>- Technical Documentation - Creates, reviews, and approves technical documentation for applications supported
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- Technology Strategy - Leads the development of technology strategy and roadmap within a given area of specialty including design, documentation, communication, and implementation of new or existing standards for infrastructure technologies while remaining current on industry trends
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10% Vendor Management - Works with 3rd party vendors to validate technical aspects and assess feasibility concerns and develop reporting metrics, dashboards, and status reporting to drive outcomes and meet expectations for quality and performance
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30% Operations - Works with internal customers and 3rd party vendors to communicate, coordinate, manage expectations, approve, and assist with operational processes such as crisis management, support escalation, change management, release management, capacity management, and other ITIL processes. Research and Analysis - Analyzes, plans, justifies, schedules, and coordinates the implementation and maintenance of the specialty area&rsquo;s administrative, operational, and financial initiatives including TCO, optimization, and efficiency<br>
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As a High Reliability Organization (HRO), responsibilities require focus on safety, quality and efficiency in performing job duties.
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The job profile provides an overview of responsibilities and duties and is not intended to be an exhaustive list and is subject to change at any time
<p></p><p><b>Minimum Qualifications:
</b></p><p></p>Bachelor's Degree: Computer and Information Science
<p></p><p><b>Additional Job Description:
</b></p><p></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science , Information, or a related field.
</li><li>Minimum of 12 &ndash; 15 years of experience in data engineering, with a focus on ETL and Cloud technologies (can be less than 10 years )
</li><li>Proficiency in Informatica ETL tools, SQL, and Azure Cloud platforms (preferably Azure but others acceptable)
</li><li>Experience in Informatica IDMC - Architect, Design and develop ETL processes on IDMC and Informatica suite of tools. Familiarity with MDM Architecture and Data Flow
</li><li>Experience in potential migration from existing data platforms to Databricks, Microsoft Fabric
</li><li>Must have working experience with Azure based Data Pipelining, Scheduling and Monitoring and pyspark with ability to debug troublesome pipelines. Must have hands on expertise dealing with data pipelines
</li><li>Strong working experience with Big Data technologies (Spark, Data Bricks) for Data integration, &amp; processing (ingestion, transformation, curation, etc), preferably on Azure cloud, and a clear understanding of how the resources work and integrate with cloud and on-prem.
</li><li>High level of proficiency with database and data warehouse development, including replication, staging, ETL, stored procedures, partitioning, change data capture, triggers, scheduling tools, cubes, and datamarts.
</li><li>Experience working with backend languages such as Python.
</li><li>Strong computer literacy and proficiency in data manipulation using Analytics tools/platform like Databricks, Azure Fabric using Spark engine
</li><li>Expertise in at least one technology stack designing, developing, testing, and/or delivering complex software (i.e., Java, Python, Pyspark)
</li><li>Excellent debugging, troubleshooting, and analytical skills
</li><li>Strong analytical and problem-solving skills with the ability to own, troubleshoot and resolve complex data issues
</li><li>Collaborate with Architects and Managers to develop Metrics &amp; KPI&rsquo;s
</li><li>Identify any technical risks and forming contingency plans as soon as possible
</li><li>Good communication and collaboration skills to work effectively with cross-functional teams.
</li><li>Experience working in an Agile development environment preferred
</li><li>Experience building data pipelines to support ML workflows a plus
</li><li>Experience working with geographically distributed teams (different time zones)
</li></ul><p><b>SPECIALIZED KNOWLEDGE
</b></p><ul><li>Proficiency in Informatica ETL tools, SQL, and Azure Cloud platforms (preferably Azure but others acceptable)
</li><li>Experience in Informatica IDMC - Architect, Design and develop ETL processes on IDMC and Informatica suite of tools. Familiarity with MDM Architecture and Data Flow
</li><li>Experience in potential migration from existing data platforms to Databricks, Microsoft Fabric
</li><li>Must have working experience with Azure based Data Pipelining, Scheduling and Monitoring and pyspark with ability to debug troublesome pipelines. Must have hands on expertise dealing with data pipelines
</li><li>Strong working experience with Big Data technologies (Spark, Data Bricks) for Data integration, &amp; processing (ingestion, transformation, curation, etc), preferably on Azure cloud, and a clear understanding of how the resources work and integrate with cloud and on-prem.
</li><li>High level of proficiency with database and data warehouse development, including replication, staging, ETL, stored procedures, partitioning, change data capture, triggers, scheduling tools, cubes, and datamarts.
</li><li>Experience working with backend languages such as Python.
</li><li>Strong computer literacy and proficiency in data manipulation using Analytics tools/platform like Databricks, Azure Fabric using Spark engine
</li><li>Expertise in at least one technology stack designing, developing, testing, and/or delivering complex software (i.e., Java, Python, Pyspark)
</li></ul><p></p><p><b>DESIRED ATTRIBUTES:
</b></p><ul><li>Is adaptable to new technology
</li><li>Forward-thinking, with ability to be strategic when looking at future technologies
</li><li>Possesses a continuous-learner mindset
</li><li>Ability to estimate the financial impact of technology alternatives
</li><li>Ability to quickly comprehend the functions and capabilities of existing, new, and emerging technologies that enable and drive new business designs and models
</li><li>Demonstrated ability to work well with others and be respected as a leader
</li></ul><p></p><p><b>Work Shift:
</b></p>Day
<p></p><p><b>Scheduled Weekly Hours :
</b></p>40
<p></p><p><b>Department
</b></p>Data Platform and Data Science
<p></p><p>Join us!
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... if your passion is to work in a caring environment
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... if you believe that learning is a life-long process
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... if you strive for excellence and want to be among the best in the healthcare industry
</p><p></p><p>Equal Employment Opportunity
</p><p></p><p>OhioHealth is an equal opportunity employer and fully supports and maintains compliance with all state, federal, and local regulations. OhioHealth does not discriminate against associates or applicants because of race, color, genetic information, religion, sex, sexual orientation, gender identity or expression, age, ancestry, national origin, veteran status, military status, pregnancy, disability, marital status, familial status, or other characteristics protected by law. Equal employment is extended to all person in all aspects of the associate-employer relationship including recruitment, hiring, training, promotion, transfer, compensation, discipline, reduction in staff, termination, assignment of benefits, and any other term or condition of employment
</p><p><b>Remote Work Disclaimer:
</b></p><p>Positions marked as remote are only eligible for work from <b>Ohio </b>.</p></div>

Data Engineering Tech Lead

Deloitte

<div>
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  Data Engineering Tech Lead, Cairo, Egypt
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  <br/>
 </strong>
 <strong>
  Connect to your career at Deloitte
  <br/>
  <br/>
 </strong>
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
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 Deloitte innovation hub (DIH) is a strategic initiative established by Deloitte North &amp; South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
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 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
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  Connect to your opportunity
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   Identify and solve complex problems using a structured and logical approach.
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   Stay up to date on the latest data engineering technologies and trends.
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   Work with other engineering teams to integrate data engineering solutions with other systems.
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   Maintain and optimize data systems to ensure high availability and performance.
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   Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.
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   Gather requirements from stakeholders and translate them into technical specifications.
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   Lead a team of data engineers in the design, development, and implementation of data engineering solutions.
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   Manage functional and non-functional requirements and have a deep understanding of systems engineering methodologies.
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   Build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.
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   Manage multiple projects simultaneously in a highly organized and efficient manner.
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   Think creatively and come up with new solutions to problems.
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  <li>
   Communicate effectively with technical and non-technical audiences, both verbally and in writing.
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   <br/>
  </li>
 </ul>
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  Technical Skills
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 </strong>
 <strong>
  Connect to your skills and professional experience
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 </strong>
 <ul>
  <li>
   7+ years of relevant experience.
  </li>
  <li>
   Cloud computing platforms: AWS/Azure/GCP
  </li>
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   Programming languages: Python/Java/Scala &amp; Unix Shell scripting
  </li>
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   Data warehouse technologies: Redshift/Snowflake/Big Query
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   Data lake technologies: Hadoop, Apache Beam, Spark, and Hive
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  <li>
   Orchestration: Airflow/Control-M/(Any Orchestration tool)
  </li>
  <li>
   Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn
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   <br/>
  </li>
 </ul>
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  Connect to your service line - Technology &amp; Transformation
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  <br/>
 </strong>
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
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  Personal independence
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 </strong>
 Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.
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 <strong>
  Connect to your Industry
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 </strong>
 &ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo;
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  <li>
   Dan, Technology and Transformation
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  </li>
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  Our commitment to you
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 </strong>
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
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 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
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 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
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  Connect to your next step
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 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
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Deloitte Innovation Hub I Data Engineering Tech Lead, Cairo, Egypt

Newpage Digital Healthcare solutions

<p></p><div><p><b>Location: Remote | Type: Contract</b></p><br>
<p><br>
<b>About Newpage Solutions</b></p><br>
<p><br>
Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health challenges.
</p><p>From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices.</p>
<p>We are proud to be a &lsquo;Great Place to Work&reg;&rsquo; certified company for the last three consecutive years. We also hold a top Glassdoor rating and are named among the &quot;Top 50 Most Promising Healthcare Solution Providers&quot; by CIOReview. As an organisation, we foster creativity, continuous learning and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people&rsquo;s lives.</p><br>
<p><br>
<b>Your Mission</b></p><br>
<p><br>
We are seeking a Principal Data Engineer who will design and build data integration, storage systems, and data infrastructure that deliver business value. In this role, you will focus on data architecture decisions, integration quality, and reliable delivery while leveraging AI tools to enhance productivity. You will verify and review AI-generated code to ensure it meets quality standards.</p>
<p>In this forward-deployed role, you will be embedded directly with business units including Commercial, Manufacturing, and R&amp;D. You will operate like a &quot;startup CTO&quot; for data &mdash; bridging the gap between building data products and solving real business problems through rapid solution delivery and deep domain expertise. As part of the discovery-to-scale pipeline, you will identify recurring data patterns and hand off validated solutions to Platform Engineers for generalization into enterprise capabilities.</p>
<p>This role encompasses business unit technical strategy and architectural direction for data. You will define strategic direction and be accountable for outcomes, shape data practices across the business unit and maintain external visibility. You will handle business unit complexity, creating clarity from ambiguity</p>
<p><b>What You&rsquo;ll Do</b><br>
</p><p><b>Responsibilities:</b></p>
<ul><li><b>Business: </b>Shape technology-driven data strategy, represent the data engineering perspective at executive level, and be recognised as a bridge between data engineering and business. Influence domain strategy across the business unit and shape how engineering engages with the business through data.</li>
<li><b>Delivery: </b>Drive delivery of the most critical data initiatives, establish data engineering delivery practices across the business unit, and be the technical authority on high-stakes data projects. Define data integration patterns and best practices across the business unit, architect large-scale data flows, and solve the most complex integration challenges.</li>
<li><b>People: </b>Develop technical leaders, shape data engineering talent strategy across the business unit, and build high-performing data engineering teams. Create collaborative culture across the business unit, transform dysfunctional team dynamics, and mentor others on collaboration excellence.</li>
<li><b>AI-Augmented Development: </b>Shape AI development tooling strategy across the business unit for data engineering. Pioneer novel AI-augmented development patterns for data pipelines, and establish practices that balance AI speed with verification rigour across the organisation.</li>
<li><b>Scale: </b>Lead architectural decisions for complex data systems across teams, establish quality standards for your area, mentor engineers on data architecture, and own technical debt strategy. Define data modelling standards across the business unit, handle extreme scale and complex distributed data challenges, and innovate on approaches.</li>
<li><b>Documentation: </b>Establish documentation standards across teams in your area, build knowledge management systems for data lineage and pipeline documentation, and mentor engineers on effective technical writing. Shape the discovery-to-scale pipeline, defining the organisational approach to pattern generalization for data solutions.</li>
<li><b>Reliability: </b>Shape reliability culture and standards for data systems across the business unit. Pioneer new reliability practices for data pipelines, solve large-scale reliability challenges, and be recognised as an authority on data system resilience.</li>
<li><b>Process: </b>Shape lean culture and practices across the business unit for data delivery. Innovate on flow optimisation approaches for data engineering, solve large-scale process challenges, and be recognised externally for delivery excellence.</li></ul><br>
<p>
</p><p><b>Behaviour</b></p>
<ul><li><b>Don't Lose Your Curiosity: </b>Shape organisational culture around curiosity and continuous learning in data engineering. Sponsor experimental initiatives across the organisation. Be recognised externally as a thought leader in data problem discovery. Influence industry practices around innovation and exploration in enterprise data.</li>
<li><b>Own the Outcome: </b>Define organisational accountability standards focused on business impact through data. Shape industry practices around outcome ownership in the AI era. Sponsor transformational data initiatives with full outcome accountability. Be recognised externally for ownership culture leadership.</li>
<li><b>Be Polymath Oriented: </b>Champion cross-disciplinary learning. Create holistic data solutions spanning technical and business domains. Embody the Renaissance Engineer ideal. Translate specialised data engineering knowledge into accessible explanations. Think like a business insider.</li>
<li><b>Communicate with Precision: </b>Create spec-driven development practices for data systems. Mentor others on precise communication. Span C-level executives to frontline workers. Drive clarity as a core value across your function. Represent the organisation externally.</li>
<li><b>Think in Systems: </b>Shape systems design practices across your function for data architectures. Conduct chaos engineering experiments on data infrastructure. Influence cross-team architecture decisions. Create clarity from complexity. Bridge technical data systems with business processes.</li></ul><br>
<p>
</p><p><b>Expert-level Skills</b></p>
<ul><li><b>Data Integration: </b>You define data integration patterns and best practices across the business unit. You architect large-scale data flows, solve the most complex integration challenges, and are the authority on enterprise data integration.</li>
<li><b>Data Modeling: </b>You define data modelling standards across the business unit. You handle extreme scale and complex distributed data challenges, innovate on approaches, and are recognised as a data architecture authority.</li>
<li><b>Architecture &amp; Design: </b>You define architecture standards and patterns across the business unit. You innovate on approaches to large-scale data challenges, shape AI-integrated system design, and are recognised externally as an architecture authority.</li>
<li><b>Business Immersion:</b> You are a recognised thought leader in your domain. You influence domain strategy across the business unit, exemplify the business immersion mindset that defines forward-deployed engineering, and shape how engineering engages with the business.</li>
<li><b>Full-Stack Development: </b>You work comfortably in any language and rapidly acquire new skills as needed. You deliver production solutions in days not months, shape full-stack practices across the business unit, and exemplify polymathic engineering.</li>
<li><b>Problem Discovery: </b>You shape approaches to problem discovery across the business unit. You are recognised for transforming ambiguous data situations into clear opportunities, influence how teams engage with business data problems, and are the go-to person for the most undefined challenges.</li>
<li><b>Rapid Prototyping &amp; Validation: </b>You shape culture around rapid validation and iterative delivery across the business unit. You are recognised for transformative fast delivery, define standards for prototype-to-production, and exemplify the &quot;deliver in days&quot; mindset.</li>
<li><b>Multi-Audience Communication: </b>You shape communication practices across the business unit. You represent engineering externally, communicate at board and executive level, and are recognised as an exceptional communicator who bridges any audience gap.</li>
<li><b>Stakeholder Management: </b>You shape stakeholder practices across the business unit. You manage executive relationships, represent engineering at the highest levels, and are recognised for exceptional stakeholder partnerships.</li>
<li><b>Team Collaboration: </b>You create collaborative culture across the business unit. You transform dysfunctional team dynamics, are recognised for building exceptional teams, and mentor others on collaboration excellence.</li></ul><br>
<p>
</p><p><b>Practitioner-level Skills</b></p>
<ul><li><b>AI Evaluation &amp; Observability: </b>You lead evaluation strategy across teams in your area, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments. You design multi-evaluator strategies for complex quality dimensions.</li>
<li><b>AI Literacy: </b>You lead AI adoption decisions across teams in your area. You assess AI tools and vendors systematically, train engineers on AI concepts, and establish guidelines for appropriate AI use.</li>
<li><b>AI-Augmented Development: </b>You optimise AI tool usage across teams in your area, train engineers on AI-augmented workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.</li>
<li><b>Code Quality &amp; Review: </b>You establish and enforce quality standards across teams in your area. You mentor engineers on effective code review, ensure verification depth for AI-assisted development, and drive testing strategies.</li>
<li><b>Cloud Platforms: </b>You architect multi-region, highly available data solutions across teams. You optimise for cost and performance, lead cloud migrations for your area, and mentor engineers on cloud architecture patterns.</li>
<li><b>DevOps &amp; CI/CD: </b>You design deployment strategies for complex multi-service data systems across teams, optimise pipeline performance and reliability, define DevOps practices for your area, and mentor engineers on infrastructure.</li>
<li><b>Site Reliability Engineering: </b>You define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, and mentor engineers on SRE practices.</li>
<li><b>Developer Experience:</b> You lead developer experience initiatives across teams in your area. You design comprehensive self-service data platforms, establish DX metrics, conduct systematic user research, and mentor engineers on platform-as-product thinking.</li>
<li><b>Knowledge Management:</b> You lead knowledge management initiatives across teams in your area, create knowledge systems and taxonomies for data assets, establish practices that make institutional data knowledge persistent, and mentor others on knowledge sharing.</li>
<li><b>Pattern Generalization:</b> You lead pattern generalization initiatives across teams, define criteria for when to generalize versus keep custom, and establish intake processes for receiving validated data solutions from Forward Deployed Engineers. You mentor engineers on abstraction design.</li>
<li><b>Technical Writing:</b> You define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects.</li></ul><br>
<p><br>
<b>What You Bring</b></p><br>
<p></p>
<ul><li>Bachelor&rsquo;s degree in computer science, Data Engineering, Software Engineering, or related field with 10+ years of relevant professional experience.</li>
<li>Deep technical expertise with a proven track record in enterprise data architecture, large-scale data integration, and data engineering culture leadership.</li>
<li>Extensive production experience with cloud data platforms and distributed data processing at scale is required.</li>
<li>Demonstrable fluency with AI coding tools and proven experience architecting data infrastructure that supports enterprise-scale generative AI applications is essential.</li>
<li>Experience defining data strategy, leading cross-team data initiatives, and representing data engineering at executive level is required.</li>
<li>A track record of developer advocacy, community building at scale, and organisation-wide engineering culture leadership in data engineering is strongly valued.</li></ul><br>
<p>
</p><p><b>Bonus Skills / Experience</b></p>
<ul><li>Must have exceptional communication skills and demonstrated ability to influence at executive level. This role requires comfort defining strategic direction in ambiguous environments, building trust-based relationships across business units, developing technical leaders, and making strategic decisions that shape data engineering practices at the business unit level. You will be the technical authority on data engineering and will represent the discipline externally.</li></ul><br>
<p><br>
<b>What We Offer</b></p><br>
<p><br>
At Newpage, we&rsquo;re building a company that works smart and grows with agility, where driven individuals come together to do work that matters. We offer:</p>
<ul><li>A people-first culture - Supportive peers, open communication and a strong sense of belonging</li>
<li>Smart, purposeful collaboration - Work with talented colleagues to create technologies that solve meaningful business challenges</li>
<li>Balance that lasts - We respect your time and support a healthy integration of work and life</li>
<li>Room to grow - Opportunities for learning, leadership and career development, shaped around you</li>
<li>Meaningful rewards - Competitive compensation that recognises both contribution and potential</li></ul><br>
<p><br>
<b>Ready to Apply?</b></p><br>
<p><br>
Let&rsquo;s build the future of health together. Apply below or reach out to:<br>
Ramadevi.bhumireddy@newpage.io</p><br>
<p></p>
<h4 class="jobSectionHeader"><b>More about Newpage</b></h4>
<p>Newpage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing health and optimizing the longevity of people. We do this by, passionately building futuristic technologies for global organizations across the healthcare ecosystem. We partake at every stage from problem definition, strategy &amp; service design, user research, UX design, and agile software development &ndash; utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation.
</p><p>Newpage is recognized by &lsquo;CIO&rsquo;s Review&rsquo; as &ldquo;Top 50 Promising Healthcare Solution Providers&rdquo; and Great Place to Work Certified (GPTW) 2023 &amp; 2024.</p></div>

FDE-Principal Data Engineer (Forward Deployed)

CHS Corporate

<div><p><b>Summary:</b><br>
The Principal Data Engineer provides enterprise-wide technical leadership and long-term direction for data engineering strategy. This role defines architectural patterns, drives modernization at scale, and ensures the organization&rsquo;s data platforms are secure, performant, and built for growth. The Principal is a trusted advisor to leadership, influencing cloud strategy, investment priorities, and engineering innovation.</p><p><b><br>
Essential Duties &amp; Responsibilities:</b></p><ul><li>
Establish data engineering strategy, standards, and architectural direction across the enterprise</li><li>
Lead modernization of data platforms, cloud ecosystems, and integration architectures</li><li>
Drive adoption of scalable, cost-effective, and secure data engineering practices</li><li>
Evaluate emerging technologies and recommend investments to improve data capabilities</li><li>
Lead cross-functional initiatives involving high complexity, enterprise scale, or multi-team impact</li></ul><p></p><p><b><br>
Skills &amp; Competencies:</b></p><br>
<ul><li>
Master-level expertise in distributed systems, cloud platforms, and modern data architectures</li><li>
Exceptional strategic thinking, architectural leadership, and technical decision-making</li><li>
Ability to guide enterprise initiatives and influence executives and senior technical leaders</li><li>
Deep experience with platform scalability, security, governance, and automation</li><li>
Outstanding communication skills with ability to simplify complex concepts</li></ul><p></p><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in Information Systems, Computer Science, Data Management, or related field preferred</li><li>
10+ years of experience in data engineering or a similar role</li><li>
Expert SQL and deep knowledge of warehousing and distributed systems</li><li>
Expert proficiency in Python or JVM languages (e.g., Java, Scala, Kotlin) for data manipulation and automation</li><li>
Extensive hands-on experience with cloud data platforms (e.g., AWS, Azure, or GCP)</li><li>
Mastery of ETL/ELT processes, data modeling, and data architecture</li><li>
Proven track record driving enterprise technical strategy</li><li>
Experience with Agile methodologies and version control</li></ul></div>

Data Engineer, Principal

American Medical Association (AMA)

<div><div><div><div><b>Sr. Data Engineer (Hybrid)</b></div></div><div><div><b>
Chicago, IL</b></div></div><div><div>
The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.</div></div><div></div><div><div><br>
At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.</div></div><div></div><div><div><br>
We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.</div></div><div></div><div><div><br>
We have an opportunity at our corporate offices in Chicago for a <b>Sr. Data Engineer (Hybrid) </b>on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.</div></div><div></div><div><div><br>
As a Sr. Data Engineer, you will play a key role in implementing and maintaining AMA&rsquo;s enterprise data platform to support analytics, interoperability, and responsible AI adoption. This role partners closely with platform engineering, data governance, data science, IT security, and business stakeholders to deliver high‑quality, reliable, and secure data products. This role contributes to AMA&rsquo;s modern lakehouse architecture, optimizing data operations, and embedding governance and quality standards into engineering workflows. This role serves as a senior technical contributor within the team&mdash;providing mentorship to junior engineers and implementing engineering best practices within the data platform function, in alignment with architectural direction set by leadership.</div></div><div></div><div><div><b><br>
RESPONSIBILITIES:</b></div><div><b>
Data Engineering &amp; AI Enablement</b></div><ul><li>
Build and maintain scalable data pipelines and ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use cases.</li><li>
Implement best practice patterns for ingestion, transformation, modeling, and orchestration within a modern lakehouse environment (e.g., Databricks, Delta Lake, Azure Data Lake).</li><li>
Develop high‑performance data models and curated datasets with strong attention to quality, usability, and interoperability; create reusable engineering components and automation.</li><li>
Collaborate with the Architecture Team, the Data Platform Lead, and federated IT teams to optimize storage, compute, and architectural patterns for performance and cost‑efficiency.</li><li>
Build model-ready data sets and feature pipelines to support AI/ ML use cases; serve as a technical coordination point supporting business units&rsquo; AI-related infrastructure needs.</li><li>
Collaborate with data scientists and AI Working Group to operationalize models responsibly and maintain ongoing monitoring signals.</li></ul><div></div><div><b><br>
Governance, Quality &amp; Compliance</b></div><ul><li>
Embed data governance, metadata standards, lineage tracking, and quality controls directly into engineering workflows; ensure technical implementation and alignment within engineering workflows.</li><li>
Work with the Data Governance Lead and business stakeholders to operationalize stewardship, classification, validation, retention, and access standards.</li><li>
Implement privacy‑by‑design and security‑by‑design principles, ensuring compliance with internal policies and regulatory obligations.</li><li>
Maintain documentation for pipelines, datasets, and transformations to support transparency and audit requirements.</li></ul><div></div><div><b><br>
Platform Reliability, Observability &amp; Optimization</b></div><ul><li>
Monitor and troubleshoot pipeline failures, performance bottlenecks, data anomalies, and platform‑level issues.</li><li>
Implement observability tooling, alerts, logging, and dashboards to ensure end‑to‑end reliability.</li><li>
Support cost governance by optimizing compute resources, refining job schedules, and advising on efficient architecture.</li><li>
Collaborate with the Data Platform Lead on scaling, configuration management, CI/CD pipelines, and environment management.</li><li>
Collaborate with business units to understand data needs, translate them into engineering requirements, and deliver fit-for-purpose data solutions; share and apply best practices and emerging technologies within assigned initiatives.</li>
Work with IT Security and Legal/ Compliance to ensure platform and datasets meet risk and regulatory standards.<br>
<li>
</li></ul><div><b>Staff Management</b></div><ul><li>
Lead, mentor, and provide management oversight for staff.</li><li>
Responsible for setting objectives, evaluating employee performance, and fostering a collaborative team environment.</li><li>
Responsible for developing staff knowledge and skills to support career development.</li></ul></div><div></div><div><div><b><br>
May include other responsibilities as assigned</b></div></div><div></div><div><div><b><br>
REQUIREMENTS:</b></div><br>
<div></div><ul><li>
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.</li><li>
5+ years of experience in data engineering within cloud environments</li><li>
Experience in people management preferred.</li><li>
Demonstrated hands-on experience with modern data platforms (Databricks preferred).</li><li>
Proficiency in Python, SQL, and data transformation frameworks.</li><li>
Experience designing and operationalizing ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and CI/CD processes.</li><li>
Solid understanding of data modeling, structured/unstructured data patterns, and schema design.</li><li>
Experience implementing governance and quality controls: metadata, lineage, validation, stewardship workflows.</li><li>
Working knowledge of cloud architecture, IAM, networking, and security best practices.</li><li>
Demonstrated ability to collaborate across technical and business teams.</li><li>
Exposure to AI/ML engineering concepts, feature stores, model monitoring, or MLOps patterns.</li><li>
Experience with infrastructure‑as‑code (Terraform, CloudFormation) or DevOps tooling.</li></ul><div></div><div><br>
 The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.</div></div></div><div></div><div><div><br>
This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee&rsquo;s pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association&rsquo;s benefits offerings, please click here.</div></div><div></div><div><div><br>
We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant&rsquo;s race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.</div></div><div></div><div><div><b><br>
THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION</b></div></div></div>

Sr. Data Engineer (Hybrid)

smartbridge, LLC

<div><div>Senior Data Engineer &mdash; Azure &amp; Synapse<br>
Hybrid | Houston, Texas<br>
Salary: $120,000 &ndash; $150,000 Annually<br>
<br>
ABOUT SMARTBRIDGE<br>
We simplify business transformation, applying thought leadership and innovation to create digitally connected enterprises. From Strategy to Implementation, we bring our clients' digital agenda to life. One of the keys to our success is finding and hiring exemplary people. We believe every team member contributes directly to Smartbridge's growth, and we celebrate our employees as they grow and succeed in their careers.<br>
<br>
ABOUT THE ROLE<br>
We are looking for a Senior Data Engineer with deep expertise in Microsoft Azure and Synapse Analytics to join our consulting team. In this role, you will lead the architecture, design, and development of highly scalable data integration and data engineering solutions for our clients. You will serve as a technical lead, guiding both the client and internal team members through complex data challenges while delivering high-quality, on-time results.<br>
<br>
This is a hands-on leadership role &mdash; you will be expected to design and build alongside your team, not just direct from the sidelines.<br>
<br>
RESPONSIBILITIES<br>
<ul><li>Lead the design, development, and implementation of enterprise-scale data pipelines and warehousing solutions on Microsoft Azure</li><li>Architect end-to-end data solutions using Azure Synapse Analytics, Azure Data Factory, and related cloud technologies</li><li>Drive data engineering best practices across ingestion, transformation, data quality, and pipeline orchestration</li><li>Lead and mentor a team of data engineers, providing technical guidance and code reviews</li><li>Collaborate directly with clients to understand business requirements, assess current data environments, and propose scalable solutions</li><li>Design and develop ETL/ELT processes, star schemas, data marts, and source-to-target mappings</li><li>Manage migration of on-premises data warehouse solutions to Azure cloud environments</li><li>Identify and resolve data quality issues, transformation logic gaps, and pipeline bottlenecks</li><li>Produce and maintain technical documentation for all data solutions and pipelines</li><li>Deliver projects on time, on budget, and in alignment with client goals</li></ul><br>
REQUIREMENTS<br>
<ul><li>7+ years of hands-on data engineering experience</li><li>2+ years in a technical lead or team leadership role, including mentoring engineers and owning project delivery</li><li>Expert-level experience with Microsoft Azure, including:</li><li>Azure Synapse Analytics</li><li>Azure Data Factory</li><li>Azure SQL Database</li><li>Databricks / Apache Spark</li><li>Strong experience designing and building enterprise data warehouses (on-prem and cloud)</li><li>Advanced SQL skills including complex query writing, stored procedures, and performance tuning</li><li>Experience migrating on-premises data solutions to Azure cloud environments</li><li>Proficiency in Python and/or Scala for data pipeline development</li><li>Experience with star schema design, data marts, and ETL/ELT best practices</li><li>Strong communication skills &mdash; ability to lead client meetings and translate business needs into technical solutions</li><li>Ability to travel to client locations based on project needs</li></ul><br>
NICE TO HAVE<br>
<ul><li>Microsoft Azure certifications (e.g. Azure Data Engineer Associate DP-203)</li><li>Consulting background</li></ul><br>
BENEFITS<br>
<ul><li>100% Paid Healthcare Insurance</li><li>Paid Days Off accruing from Day One</li><li>Matching 401K Retirement Plan</li><li>Career Development</li><li>Fitness Reimbursement</li><li>Team Events and more</li></ul></div><p>
</p><p>CNaHUYGFR0</p></div>

Senior Data Engineer / Consultant

NorthBay Solutions

<div><h2 class="jobSectionHeader"><b>Lead Data Engineer &ndash; AWS</b></h2><p><b>
Experience:</b> 10&ndash;12 Years<br>
<b>Location:</b> Cairo, Egypt (Onsite)<br>
<b>Employment Type:</b> Full-Time</p><h3 class="jobSectionHeader"><b>
Position Overview</b></h3><p>
We are seeking an experienced Lead Data Engineer with deep expertise in AWS to architect, lead, and oversee the development of enterprise-grade, scalable data platforms. The role demands strong technical leadership, solution architecture skills, and ownership of end-to-end data engineering initiatives. The candidate will mentor teams, drive best practices, and ensure secure, high-performance, and cost-optimized data solutions.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Lead design and implementation of batch and real-time data pipelines on AWS</li><li>
Architect and implement ETL/ELT solutions using AWS Glue, Spark on EMR, and other AWS-native services</li><li>
Lead workflow orchestration using Apache Airflow (MWAA)</li><li>
Architect serverless data processing solutions with AWS Lambda</li><li>
Design enterprise-grade data warehousing solutions using Amazon Redshift</li><li>
Develop and enforce data storage strategies using Amazon S3 and DynamoDB</li><li>
Implement and govern data cataloging, governance, and access control using AWS DataZone</li><li>
Establish monitoring, logging, and observability using Amazon CloudWatch</li><li>
Drive performance optimization, scalability, and cost efficiency</li><li>
Troubleshoot complex data processing and infrastructure issues</li><li>
Collaborate with cross-functional teams including Analytics, BI, Data Science, and Business teams</li><li>
Provide technical leadership, conduct code reviews, and mentor junior engineers</li><li>
Ensure adherence to security, compliance, and data governance standards</li><li>
Participate in architecture discussions and contribute to long-term data strategy</li></ul><h3 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h3><ul><li>
10&ndash;12 years of experience in Data Engineering or related roles</li><li>
5+ years of hands-on experience designing enterprise-grade AWS solutions</li><li>
Expertise with: AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon EC2, Amazon CloudWatch, Amazon Redshift, Amazon DynamoDB, AWS DataZone, Amazon S3</li><li>
Strong programming skills in Python</li><li>
Advanced SQL skills with performance tuning expertise</li><li>
Strong understanding of data warehousing, data modeling (Star/Snowflake), ETL/ELT best practices</li><li>
Experience designing scalable, distributed data processing systems</li><li>
Proven experience in leading teams, mentoring engineers, and making architectural decisions</li><li>
Experience working in Agile/Scrum delivery environments</li></ul><h3 class="jobSectionHeader"><b>
Nice to Have</b></h3><ul><li>
AWS Professional Certification (Solutions Architect / Data Analytics Specialty)</li><li>
Experience with real-time streaming (Kinesis, Kafka)</li><li>
Exposure to metadata management, data lineage, and governance tools</li><li>
Expertise in cost optimization strategies in AWS</li><li>
Experience working with large-scale enterprise data platforms</li></ul><p>
</p><p>UqQO9zj87E</p></div>

Lead Data Engineer – AWS

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