Data Platform and Engineering (DPE) is the team supporting Ford+ and Fords data superiority vision. This Senior Data Engineering role is within the Data Platform and Engineering - Platform Data Engineering Team. The Platform Data Engineering Team is responsible for building and operationalizing data engineering, software engineering and architecture patterns and best practices for GDIA Teams. The successful candidate will work with a variety of technical and business teams at Ford including GDIA and ITO to build, enable, transform and migrate data products, processes and applications. Responsibilities: <ul> <li> Interact with GDIA product lines and business partners to understand data engineering opportunities, tooling and needs. </li> <li> Collaborate with Data Engineering and Data Architecture to design and build templates, pipelines and data products including automation, transformation and curation using best practices </li> <li> Develop custom cloud solutions and pipelines with GCP native tools Data Prep, Data Fusion, Data Flow, DBT and Big Query </li> <li> Operationalize and automate data best practices: quality, auditable, timeliness and complete </li> <li> Participate in design reviews to accelerate the business and ensure scalability </li> <li> Work with Data Engineering and Architecture and Data Platform Engineering to implement strategic solutions </li> <li> Advise and direct team members and business partners on Ford standards and processes. </li> </ul> Basic Qualifications: <ul> <li> Bachelors or Masters degree in a Computer Science, Engineering or a related or related field of study </li> <li> 5+ Years - Ability to work effectively across organizations, product teams and business partners. </li> <li> 5+ Years - Knowledge Agile (Scrum) Methodology, experience in writing user stories </li> <li> 5+ Years - Strong understating of Database concepts and experience with multiple database technologies optimizing query and data processing performance. </li> <li> 5+ Years - Full Stack Data Engineering Competency in a public cloud Google, MS Azure, AWS </li> <li> Critical thinking skills to propose data solutions, test, and make them a reality. </li> <li> 5+ Years - Highly Proficient in SQL, Python, Java, Scala, or Go (or similar) - Experience programming engineering transformation in Python or a similar language. </li> <li> 5+ Years Demonstrated ability to lead data engineering projects, design sessions and deliverables to successful completion. </li> <li> Cloud native technologist </li> <li> Deep understanding of data service ecosystems including data warehousing, lakes, metadata, meshes, fabrics and AI/ML use cases. </li> <li> User experience advocacy through empathetic stakeholder relationship. </li> <li> Effective Communication both internally (with team members) and externally (with stakeholders) </li> <li> Knowledge of Data Warehouse concepts experience with Data Warehouse/ ETL processes </li> <li> Strong process discipline and thorough understating of IT processes (ISP, Data Security). </li> </ul> Preferred Qualifications: <ul> <li> Excellent communication, collaboration and influence skills; ability to energize a team. </li> <li> Knowledge of data, software and architecture operations, data engineering and data management standards, governance and quality </li> <li> Hands on experience in Python using libraries like NumPy, Pandas, etc. </li> <li> Extensive knowledge and understanding of GCP offerings, bundled services, especially those associated with data operations Cloud Console, BigQuery, DataFlow, DataFusion, PubSub / Kafka, Looker Studio, VertexAI </li> <li> Experience with Teradata, Hadoop, Hive, Spark and other parts of legacy data platform </li> <li> Experience with recoding, re-developing and optimizing data operations, data science and analytical workflows and products. </li> <li> Data Governance concepts including GDPR (General Data Protection Regulation), CCPA (California Consumer Protection Act), PoLP and how these can impact technical architecture </li> </ul> You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builderor all of the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, and prescription drug coverage Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more Vehicle discount program for employees and family members, and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Years Day Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: Benefit Summary (https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2024-benefits-and-comp-GSR-sal-plan-2.pdf) This position is a salary grade 8 . This position is a range of salary grades 8. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. # LI-Hybrid #LI-GH2 Requisition ID : 35052

Data Engineer wanted for systematic arm of a globally recognised hedge fund to join the growing Data Engineering team where you will support the Commodities business. This opportunity will give you the chance to design, implement and evolve the data platform, including pipeline, repository, data warehouse and data access APIs. You will be working closely with the quant PMs and researchers in a fast-paced environment as you automate and support the Extract, Transform, and Load (ETL) processes from various market data vendors. They are looking for a passionate engineer with strong financial data knowledge, including security master, financial time series (pricing data, etc.) across multiple asset classes. You'll need to have solid coding skills (Python, Java/C++, SQL), and experience working with large datasets. If you eat, sleep and breathe data, and have fantastic interpersonal skills, this role is perfect for you! <h3>Requirements</h3> <ul> <li>3+ years' Python experience</li> <li>Broad knowledge & experience of database concepts with proficiency in SQL and stored procedures</li> <li>Knowledge of NoSQL databases and big data technologies</li> <li>Solid experience working with cloud or on-prem technologies and data infrastructure, e.g. workflow management engines, databases, storage & file systems, analytics platforms</li> <li>Experience processing large and complex datasets</li> <li>BS in Computer Science, Engineering, Statistics, or related subject</li> </ul> <h3>Desirable</h3> <ul> <li>Experience with any of the following: designing and implementing real-time pipelines; data quality and validation; Kafka; Java/C++/Rust/Go</li> <li>Experience with traditional and/or alternative datasets in the Commodity space</li> </ul> <h3>Benefits</h3> <ul> <li>Work directly with all parts of the fund</li> <li>Market-leading salaries + bonus</li> <li>Entrepreneurial feel of a small firm with the infrastructure, technology and support that comes with a large company</li> <li>Inclusive, collaborative work culture</li> </ul> <h3>Contact</h3> If you feel you are a strong match for this role, please don't hesitate to get in touch: Greg Leigh-Jones gregleighjones@oxfordknight.com +1 929-209-9585 linkedin.com/in/greg-jones-8a457011a 
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Document new reporting features or bugs from both internal and external users coordinate testing of reports with users coordinate with team members overseas .. Enterprise digital strategies and a strategic plan clear governance and operating models on this platform health systems can review and shortlist solutions .. ver más .. This position will include all aspects of clinical bdentalb care employee assistance program eap which provides free and confidential help for mental health .. ver más .. Salary 34 50 55 20 hourly ** ** annually this position is a pay band eg posting details this posting will be used for ongoing recruitment .. ver más .. Under supervision performs structural engineering work of moderate complexity involving the selection and application of structural engineering techniques .. ver más .. This posting will be used for ongoing recruitment and may close at any time this position will supervise two 2 accountant bauditorb positions which manage .. ver más .. This is an opportunity to join our team of top notch software engineers working closely together on interesting projects for our clients this position .. ver más .. We offer market competitive compensation and a wide range of benefits including paid time off affordable and comprehensive health insurance dental vision .. ver más .. Knowledge of big data processing and analytics tools on gcp like bigquery dataproc experience in big data processing and analytics tools on gcp like bigquery .. ver más .. This position will support the financial services card banking line of business within the financial services vertical 3 5 years of direct experience .. ver más .. Within our business services vertical we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth maximize .. ver más .. Our areas of expertise include application modernization ecommerce uxui design product strategy data analytics and artificial intelligence .. ver más .. Description about ascendion ascendion is a full service digital engineering solutions company we make and manage software platforms and products that power .. ver más .. General summary to apply agency wide professional expertise in human resources in order to provide personnel administration and employee relations .. ver más .. Talewise is looking for energetic and animated individuals to present our interactive live science programs for kids looking for a fun and flexible job .. ver más .. For positions requiring access to technical data subject to bexportb control regulations including bexportb administration regulations ear servicenow may have .. ver más .. Job description summary the sr international trade compliance manager is responsible for supporting the global export and sanctions compliance programs .. ver más Chicago Sauganash Center For Dental Health Ayer .. Sauganash family bdentalb is seeking a bdentalb receptionist who is self motivated with strong communication and interpersonal skills to coordinate operations of a .. ver más Chicago Greater Learning Opportunity Academy Inc Ayer .. We are currently in need of a skilled cook to prepare delicious meals for our daycare children the ideal candidate must have experience as a cook must have .. ver más .. The zifo lab computing analyst provides both consulting analytical and technical laboratory services including multivendor instrument information technology .. ver más .. Sap success factor with payroll exp chicago il day 1 onsite only usc gc only looking for payroll experience job type contract pay 75 00 .. ver más .. Introduction for more than 150 years the school of the art institute of chicago saic has been a leader in educating the worlds most influential artists .. ver más .. Manages a team supporting andor implementing software projects andor internal hardware systems defines documents and manages scope expectations .. ver más .. Adyen provides payments data and financial products in a single solution for customers like meta uber hm and microsoft making us the financial .. ver más .. Senior engineer server operations salary open bonus location chicago il hybrid 3 days on site 2 days remote we are unable to provide sponsorship .. ver más .. Lewis brisbois offers legal practice in more than 40 specialties and a multitude of sub specialties our attorneys have broad knowledge experience and .. ver más .. The role also requires the aesthetic sales representative to be able to speak clearly so listeners can understand them and understand the speech of another .. ver más .. Keepers zero trust and zero knowledge cybersecurity solutions are fedramp and stateramp authorized fips 140 2 validated as well as soc 2 and iso ** .. ver más 
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Description
Job Schedule:  Full Time
Standard Hours:  40
Job Shift:  Shift 1
Shift Details:  Rotating On-Call Responsibilities

Work where every moment matters.

Every day, over 38,000 Hartford HealthCare colleagues come to work with one thing in common: Pride in what we do, knowing every moment matters here. We invite you to become part of Connecticuts most comprehensive healthcare network.

The creation of the HHC System Support Office recognizes the work of a large and growing group of employees whose responsibilities are continually evolving so that we and our departments now work on behalf of the system as a whole, rather than a single member organization.
With the creation of our new umbrella organization we now have our own identity with a unique payroll, benefits, performance management system, service recognition programs and other common practices across the system.
Position Summary:
The Principal Data Engineer will drive the strategic design, development, and optimization of Hartford Healthcare's (HHC) advanced data infrastructure. This role involves the architecture and development of data solutions that enable reliable, high-performance analytics, data science initiatives, and digital transformation across the organization. The Principal Data Engineer will work closely with cross-functional teams, lead the engineering team, and play a critical role in shaping HHCs long-term data strategy while ensuring adherence to data governance, privacy, and security best practices.
Position Responsibilities:
Key Areas of Responsibility
Strategic Leadership & Data Infrastructure Development:
Design and oversee the implementation of scalable, resilient, and secure cloud-based and on-premises data pipelines to handle complex and large-scale data sets from multiple sources.
Drive strategic initiatives around data lakehouse, data mesh, and advanced architectures that meet the evolving needs of the organization.
Ensure high-performance data integration to support enterprise-wide reporting, AI-driven analytics, and digital health innovation.
Architecture & Innovation:
Lead the design of enterprise-wide data architecture frameworks, including data models, ETL pipelines, and data warehouses, ensuring optimized processing and storage for diverse use cases.
Implement next-generation data management solutions by researching and experimenting with new technologies (e.g., real-time streaming, serverless architectures, and machine learning integration).
Cross-Functional Collaboration:
Collaborate with key stakeholders, including data scientists, data governance teams, clinical informatics, and IT leadership, to align data architecture with organizational goals.
Partner with leadership in defining long-term data strategies and ensuring technical alignment with business priorities.
Data Governance & Security:
Ensure all data engineering solutions adhere to HHC's data governance frameworks, complying with HIPAA, HITECH, and other healthcare regulations.
Implement automated data security, privacy controls, and audit trails to protect sensitive healthcare information and comply with internal and external data protection standards.
Mentoring & Team Leadership:
Lead, mentor, and provide technical guidance to a team of junior and senior data engineers, fostering a culture of innovation, continuous learning, and technical excellence.
Promote best practices for agile development, DevOps, data version control, and automation across the data engineering team.
Innovation & Experimentation:
Lead experimentation with new data platforms, tools, and approaches to continuously enhance the organization's data capabilities.
Create technical roadmaps for new data initiatives, anticipating future needs and driving proactive scaling of systems.
Working Relationships:
This Job Reports To (Job Title):  Director Data Engineering and Architecture
Qualifications
Education
Minimum: Bachelors degree in computer science, engineering, mathematics, or related quantitative field required.
Preferred: Masters degree in computer science, healthcare administration, or related field preferred.
Experience
Minimum
o 8+ years of hands-on experience in data software development, including cloud-native architectures (GCP preferred).
o Extensive (8+ years)experience with programming languages such as Python, SQL, and Java.
o 8+ years of Experience with specialized data architecture (e.g., data lake, lake house, data fabric, data mesh)
o 8+ years of experience with ETL design, data modeling, and building robust data pipelines.
o Proactive and self-motivated with a passion for continuous learning and staying updated with best practices, new features, and emerging technologies.
o Advanced experience with cloud-based data engineering, GCP, AWS, or Azure.
o Proactive in driving strategy, aligning technical solutions with business needs, and managing day to day operations between cross-functional teams.
Preferred:
o 10+ years of experience in data software development that includes building data and digital platforms
o (10+ years) experience with programming languages such as Python, SQL, and Java.
o Experience with healthcare data standards (e.g., FHIR, HL7) and working with clinical systems.
o 10+ years of experience with ETL design, data modeling, and building robust data pipelines.
o 7+ years working with modern data governance, privacy frameworks, and healthcare compliance (HIPAA).
Knowledge, Skills and Ability Requirements
Strong leadership, mentoring, and project management experience; time and project management skills; demonstrated skills in verbal and written expression of ideas; in person and virtual presentation skills; in-depth knowledge and familiarity with healthcare/healthcare system data.
We take great care of careers.
With locations around the state, Hartford HealthCare offers exciting opportunities for career development and growth. Here, you are part of an organization on the cutting edge helping to bring new technologies, breakthrough treatments and community education to countless men, women and children. We know that a thriving organization starts with thriving employees-- we provide a competitive benefits program designed to ensure work/life balance. Every moment matters. And this is  your moment.

Stanford University is launching an interdisciplinary Neuro-AI project dedicated to building a foundation model of the brain. This endeavor will involve multiple labs and faculty across the Stanford campus, including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute. Leveraging cutting-edge advances in electrophysiology and machine learning, this project aims to create a functional 'digital twin' — a model that captures both the activity dynamics of the brain at cellular resolution and the intelligent behavior it generates, including perception, motor planning, learning, reasoning, and problem-solving.This ambitious initiative promises to offer unprecedented insights into the brain's algorithms of perception and cognition while serving as a key resource for aligning artificial intelligence models with human-like neural representations. As part of this project, we are seeking a talented senior data engineer with extensive experience in data infrastructure engineering to lead a team of engineers in building robust data pipelines. The team is responsible for designing, building, and operating the data pipeline infrastructure, which includes the entire flow of data from neurophysiological data acquisition to storage, processing, and preparation for large-scale training of machine learning-based foundation models. Ideal candidates will have practical experience in designing and scaling big data pipelines and proficiency with tools and frameworks such as Apache Spark, Airflow, DeltaLake, or similar technologies.This position promises a vibrant and cooperative atmosphere within the laboratories of Andreas Tolias (https://toliaslab.org), Tirin Moore (https://www.moorelabstanford.com) and other labs at Stanford University renowned for their expertise in perception, cognition, pioneering neural recording techniques, computational neuroscience, machine learning, and Neuro-AI research.<h3>Role & Responsibilities:</h3><ol><li>Lead a team of engineers to design, build, and maintain high-throughput data pipelines.</li><li>Set up and maintain the hardware and software infrastructure to support distributed computing, data orchestration, and distributed data storage.</li><li>Tightly coordinate with experimentalists, research scientists, and machine learning engineers to accelerate and facilitate the workflows for large-scale neuroscientific data analyses and foundation model training.</li></ol><h3>Key Qualifications:</h3><ol><li>PhD or Master’s degree in Computer Science or related fields.</li><li>At least 5 years of experience in designing or running big data pipelines with a particular focus on data infrastructure engineering.</li><li>Detailed knowledge and experience in working with state-of-the-art big data tools and frameworks (e.g. Apache Spark, Airflow, Delta Lake, or similar).</li><li>Strong expertise in setting up and managing large-scale data and compute infrastructure to support high-throughput data processing.</li><li>Strong software engineering background for ensuring high-quality code and continuous development of data analysis pipelines in coordination with other teams.</li><li>Excellent communication skills to work effectively within an interdisciplinary team constituting varying degrees of technical skills.</li></ol><h3>Preferred Qualifications:</h3><ol><li>Experience with machine learning techniques and their associated challenges for data pipeline engineering.</li><li>Experience in leading a team in managing software and/or hardware infrastructure for data storage and analyses.</li></ol><h3>What We Offer:</h3><ol><li>Work on a collaborative and uniquely positioned project spanning several disciplines, from neuroscience to artificial intelligence and engineering.</li><li>Work jointly with a vibrant team of researchers and scientists in a project dedicated to one mission, rooted in academia but inspired by science in industry.</li><li>Competitive salary and benefits.</li><li>Strong mentoring in career development.</li></ol>Please complete the basic application through Stanford Careers, and we request that you also send your CV and one page interest statement to: recruiting@enigmaproject.aiThe expected pay range for this position is $132,000 to $165,000 per annum.Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors.
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Senior Python Data Engineer – Billion-Dollar Private Equity FirmSalary: Up to £110,000 Base + 100% BonusesWFH Model: 3 Days in the office, 2 from home I’m partnered with a $150bn+ private equity firm, who over recent times have acquired an incredibly impressive portfolio based on faultlessly accurate data. Being a ‘data-rich’ organisation that they’re, they’re always on the search to find the best ‘Grade-A’ - Python-based Data Developers on the market who can tap into external businesses and clients and create a data system from an idea into inception. You will have complete autonomy in everything you do and work on large-scale data systems end-to-end, whilst evaluating and assessing the best technologies and techniques are used for efficient data ingestion. The core technology stack is Python, SQL, CI/CD on AWS environment. The successful candidate will be someone who is determined to explore risks and the associated benefits, ideally a go-getter, someone who isn’t afraid to bring new ideas or technologies to their client's and run with them, regardless of how it works out. If you feel like your skills match up to who they’re looking for, then APPLY NOW! Requirements:<ul><li>Experienced: 5+ years as a Data Engineer, with a strong background in Python development and data systems architecture.</li><li>Start-up savvy: Proven track record of thriving in dynamic, start-up-like environments.</li><li>Technically skilled: Proficient in building ETL pipelines, integrating APIs, and managing data storage solutions.</li><li>Problem-solver: Able to turn complex requirements into simple, elegant solutions.</li><li>Collaborative: Adept at working closely with diverse teams to align on goals and deliver exceptional results.</li><li>Visionary: Excited by the challenge of designing innovative systems that push the boundaries of data utilization.</li></ul> Please contact daniel.mclagan@stanfordblack.com for more information. If this role isn't right for you, but you know of someone who might be interested, we have a market-leading referral scheme in place to thank anyone who refers a friend who is successfully placed! T&Cs apply.

Job Title: Data Engineer- FULL STACK DEVELOPER

Labor Category: Programmer III

Job Location: Remote

Job Type: Contract - 12 Months

Work Schedule/Hours: Monday - Friday 9am to 5Pm 40/hrs a week

Pay Rate: $70 to $80 per hour

SCOPE OF SERVICES

We are looking for full stack developer who will works with City agencies and their data to help serve New Yorkers more equitably and effectively. This work takes three main forms: analyzing data to improve City agency operations; making Open Data more accessible to all New Yorkers; and advancing citywide data infrastructure, integration, and sharing. ODA seeks a Full Stack Developer - Data Engineer responsible for designing, developing, and maintaining data-driven applications and systems. Work closely with the team to build scalable and efficient solutions that leverage both front-end and back-end technologies.

TASKS:

Create optimal data pipeline architecture that is coherent and scalable, based on best practices of integrating data into a consolidated repository.
Perform the technical design, development, and component testing.
Build data and analytics tools, services and products that manage data, metadata or utilize data pipeline to provide actionable insights into customer engagement and experience, operational efficiency, and other key business performance metrics.
Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources using SQL, cloud, and 'big data' technologies.
Develop ETLs to move data securely from source to target systems.
Develop new or build against existing APls for data access or landing data as output for further downstream consumption in the appropriate target data store.
MANDATORY SKILLS/EXPERIENCE Note: Candidates who do not have the mandatory skills will not be considered     8+ years of experience in the Java application development and implementation of large technology projects.
5+ years of experience in writing SQL.
Experience in front-end and back-end application development.
Proven experience as a Full Stack Developer with expertise in Java, Spring Boot, Python, JavaScript, and related frameworks (e.g., React, Angular, Node.js, Vue)
Experience with RDBMS (Oracle, MySQL, PostgreSQL)
Understand basic design principles behind a scalable application.
Experience with service-oriented architecture and RESTful web services
Knowledge of JSON, XML, XSD, WSDL, JDBC, MQ, SOAP concepts
Strong problem-solving skills and enjoy learning new technologies.
Experience with an agile, iterative development process and version control tools such as Git, GitHub, Subversion.
Strong understanding of data engineering concepts and experience with tools such as SQL, NoSQL databases, and data processing frameworks (e.g., Apache Spark).
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
Experience working on large datasets, data models and full-cycle data pipeline development.
Experience working with Amazon Web Services or Microsoft Azure cloud computing platform and services.
Experience developing cloud-ready applications.
Excellent problem-solving and communication skills.
Ability to work effectively in a fast-paced and collaborative environment.
DESIRABLE SKILLS/EXPERIENCE:     ETL experience in development with the suite of tools from Informatica PowerCenter, IBM DataStage and B2B Data Transformation.
Experience using Oracle 12g, AWS RDS/MySQL and/or a database appliance.
Knowledge of IBM Master Data Management (MDM) implementation
Knowledge of metadata-driven enterprise reporting platforms.
Prior experience working on complex data integration projects.

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