Title: Data Engineer Locations: Camden, New Jersey, 08103, United States Philadelphia, PA USA Job Category: IT Requisition Number: DATAE003972 - Full-Time - Hybrid Job Description: Who We Are US Cold owns and operates one of the most complex temperature-controlled logistics networks in North America. Every day, our systems coordinate the storage and movement of food at national scale across a network of state-of-the-art distribution centers, including multiple highly automated warehouse facilities. We continue to advance our core warehouse and logistics platforms. Our current focus is on modular, event-driven, API-first and cloud architectures. We continue to enhance reliability and accelerate engineering productivity by strengthening our SRE and AI practices. This is a large investment in innovation to continue to drive operational excellence at our facilities. If you want to build durable systems that operate in the physical world at scale, this is that opportunity. The Role: We are hiring a Data Engineer to design, build, and operate scalable, reliable data pipelines and platforms that power reporting, analytics, and machine learning across the organization. This role is suited for someone with a solid foundation in modern data engineering practices who enjoys solving complex data problems and working in production environments. You will develop and maintain data systems that ensure data is accurate, timely, and trusted. You will work across the full data lifecycle—from ingestion and transformation to validation, deployment, and monitoring. This role offers the opportunity to build a strong medallion data foundation—delivering reliable analytics‑ and AI‑driven systems where data quality, uptime, and operational impact truly matter. What You Will Own · Design, build, and operation of batch and streaming data pipelines. · Ingestion and processing of structured and semi-structured data from sources such as databases, APIs, event streams, logs, and files. · Data quality, reliability, and observability across data pipelines and platforms. · Development of clean, maintainable SQL and Python code for data transformations. · Delivery of high-quality, well-modeled datasets that support analytics and data science teams. · Application of best practices in data modeling, testing, version control, and documentation. · Leading and participating in code reviews and technical design discussions to ensure scalable and reliable solutions. · Staying current with modern data technologies and AI-enabled data workflows and applying them where they add value. Technical Environment · Multi-facility, high-availability Warehouse management and logistics systems · Migration toward cloud-native, event-driven architectures · Azure cloud-native services · ADF, Python and Azure functions to build data movement pipelines · Snowflake for real-time data warehousing · CI/CD-driven delivery model · Power BI for data visualization · Application of low-code platforms for process automations · AI mindset with application of data science models for warehouse optimization, routing, consolidation, and capacity planning What We’re Looking For · Professional experience building and supporting data solutions in production environments · Strong fundamentals in SQL (joins, aggregations, window functions) and Python or a similar programming language · Solid understanding of core data engineering concepts, including data pipelines and ETL/ELT patterns using tools such as ADF or Informatica · Experience with data modeling concepts, such as fact and dimension tables · Understanding of batch and streaming data processing paradigms · Familiarity with cloud data ecosystems (AWS, Azure, or GCP), with hands‑on or practical experience · Strong problem‑solving skills, curiosity, and a continuous‑learning mindset Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, Engineering, Mathematics, or a closely related discipline. Helpful Experience · Hands‑on experience (academic or professional) with: o Snowflake, BigQuery, Redshift, or similar data warehouses o ETL tools such as ADF, Informatica o Dbt or transformation‑as‑code frameworks · Exposure to: o Machine learning pipelines or AI‑driven data products o Feature engineering or data preparation for ML models o Prompt engineering, LLM pipelines, or AI/analytics integration concepts · Understanding of data governance, privacy, or security fundamentals · Contributions to open‑source projects, hackathons, or strong personal projects · Knowledge of data visualization tools, such as Tableau or Power BI. Why this role is different You’ll help power live warehouses—moving freight and enabling real, day‑to‑day decisions that keep operations running. · You will help modernize the data and decision‑support backbone of a company that moves food at a national scale. · You will build durable, production‑grade data foundations—trusted datasets, clear definitions, and reliable data pipelines that operate under real‑world constraints, not slideware or one‑off analyses. The Kind of Problems You’ll Solve · Translating complex warehouse, logistics, and operational workflows into scalable data pipelines, models, and curated datasets that support analytics and AI use cases · Ensuring data used in daily decision‑making is accurate, timely, and resilient in environments where uptime and data quality matter · Modernizing data ingestion, transformation, and modeling without disrupting live warehouse and transportation operations You work closely with the business and technical teams to build production‑grade data systems that perform reliably in daily operations—not just in reports or prototypes. Compensation & Structure · Location: Hybrid – Greater Philadelphia · Reports to: IT – Data Engineering · Travel: Less than 5% · Salary Range: $80,000–$130,000 Operational Context This role is primarily technical and office-based, with occasional interaction in operational environments depending on system needs. Benefits Include Medical, Dental, Vision, Prescription, Legal Insurance, Pet Discount, Critical Illness, Accident Insurance, Hospital Indemnity, Long Term Care + Permanent Life Insurance, Identity Theft Protection, Short Term Disability Insurance, Long Term Disability Insurance, Additional disability benefit, Basic Life Insurance, Accidental Death and Dismemberment Insurance, Voluntary Life Insurance, Voluntary Spouse Life Insurance, Voluntary Child Life Insurance, Loan Solution, Health Flexible Spending Account, Dependent Flexible Spending Account, Commuter accounts, Telemedicine, Virtual Primary Care, Prescription Savings Plan, Prescription Specialty Copay Assistance Program, Weight Management Program, Chronic Condition Management, Care Navigator Program, 24/7 Nurse Line, Expert Medical Opinion, Precious Additions Maternity Program, Health Advocacy, Employee Assistance Program, Digital Cognitive Behavioral Therapy, Digital Physical Therapy, Behavioral and Mental Health Platforms, Auto and home discount program, Secure Travel Protection, Discount Programs, 401(k) plan, Education Assistance, Paid Time Off. Physical & Operational Context May require physical effort associated with using the computer to access information, or occasional standing, walking, lifting needed to carry out everyday activities. Effective communication, vision, and hearing are essential for safety and productivity. Operate scanners, tablets, radios, phones, computers, and other essential equipment as required. Additional work hours may be requested by management to help manage employee production, projects, and/or special events. Engage in frequent personal interaction and communication. Attend in-person meetings and/or training on a regular basis. Possess strong arithmetic and reading skills. Follow verbal instructions, written instructions, and company policies. Work independently and coordinate with others. Fast-paced environment, managing stress and meeting productivity standards. Additional Information Job functions may vary based on the area of operation. This description outlines the most common tasks required for the job. Reasonable accommodation may be provided to enable individuals with disabilities to perform essential duties. This job description may not encompass all tasks necessary to complete the role. Qualifications Education Preferred High School or better in Other.

Design and maintain data integration pipelines, assemble complex data sets, implement process improvements, and build infrastructure for optimal data extraction and transformation to support analytics and business performance insights.

GAQ426R358 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We’re looking for a Chief of Staff to the Chief People Officer (CPO) to help drive operational excellence, strategic alignment, and execution across the Databricks People organization. In this role, you will work closely with the CPO and People Leadership Team to ensure that our strategy, priorities, and operating rhythms are aligned and effectively executed as we scale. You will play a critical role in connecting strategy to execution, enabling strong collaboration across the People Leadership Team and Centers of Excellence, and ensuring the CPO’s time and focus are directed toward the most impactful priorities for the company. A key part of this role will be helping support the transformation of the People organization into an AI-first, highly efficient function, identifying opportunities to leverage AI to automate routine work, accelerate insights, improve decision-making, and fundamentally change how the People team operates at scale. The impact you will have: - Drive the operating cadence of the People Leadership Team, including leadership meetings, quarterly and annual planning, and strategic reviews. - Ensure alignment across People functions and Centers of Excellence by linking strategy, planning, and execution. - Partner with functional leaders, PMO and finance to translate company priorities into clear People team objectives and operational plans. - Develop reporting mechanisms and dashboards to track key People metrics, strategic initiatives, and organizational performance, and coordinate reporting metrics to the board and executive team as needed. - Identify and implement AI-powered tools and workflows to improve the operating efficiency of the People organization, from automating routine reporting and communications to accelerating how the team synthesizes data and gets to better decisions, faster. What we look for: - Experience as a Chief of Staff, Strategy Lead, or similar role supporting a senior executive - 8–12+ years of experience in HR, strategy, operations, consulting, or business operations. Experience working with People/HR organizations or talent strategy initiatives is strongly preferred. - Strong strategic thinking and program management skills with the ability to translate strategy into operational execution - Exceptional organizational and communication skills with experience supporting senior executives and working effectively across cross-functional stakeholders to drive results across complex organizations - Proven ability to manage cross-functional initiatives across complex organizations - Strong analytical and data storytelling skills to drive insight and decision-making - Ability to operate effectively in a high-growth, fast-paced environment and drive alignment through ambiguity - A genuine AI adopter who actively uses AI tools to do their own work better, and brings curiosity and initiative to identifying how these tools can transform how the People team operates Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $234,200—$322,100 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Data Engineer Porto Farfetch - Technology – Data / Full-time / Hybrid TECHNOLOGY We're on a mission to build end-to-end products and technology that powers the an incredible e-commerce experience for luxury customers everywhere, understanding the motivations and needs of our customers and partners, to designing and testing hypotheses, to creating industry-leading experiences for luxury customers. PORTO Our office is near Porto, in the north of Portugal, and is located in a vibrant business hub. It offers a dynamic and welcoming environment where our employees can connect and network with a large community of tech professionals. THE ROLE We're a Data team that implements methods to improve data reliability and quality by combining raw information from different sources and developing architectures that enable data extraction and transformation for data modeling. Our aim is to provide an unrivaled customer experience and promote FARFETCH's growth. You will be integrated with the Data Engineering team, being responsible for helping maintain and improve the Data architecture and tools. WHAT YOU'LL DO - Contribute to the hiring and training of engineers within the managed team - Assure the collaboration of managed team across different engineering teams (inside and outside of the domain) and adherence to the defined global engineering best practices - Design and build scalable & reliable data pipelines (ETLs) for our data platform - Constantly evolve data models & schema design of our Data Warehouse to support self-service needs - Work cross functionally with various teams, creating solutions that deal with large volumes of data - Work with the team to set and maintain standards and development practices - Be a keen advocate of quality and continuous improvement. WHO YOU ARE - You have experience as a professional with solid technical background building and maintaining data pipelines in a custom or commercial ETL tool (eg. SSIS, Talend, Informatica) (Airflow is a plus) - You have experience working in a Data Warehouse environment with varied forms of data infrastructure, including relational databases, Hadoop, and Column Store - Expert in creating and evolving dimensional data models & schema designs to improve accessibility of data and provide intuitive analytics - Basic experience and knowledge of cloud environments (eg. AWS, GCP, Azure) - Expert in SQL - You are proficient in one of the following programming languages: C#, Java, Python - You have 2+ years experience working with a BI reporting tool (eg. Tableau, QlikView, PowerBI, Looker) - Proficient applier of continuous delivery principles: version control, unit and automated tests - You are fluent in English, both written and spoken - You have good analytical and problem solving skills, the ability to work in a fast moving operational environment and you are enthusiastic and with a positive attitude. REWARDS & BENEFITS - Health insurance for the whole family, flexible working environment and well-being support and tools - Extra days off, sabbatical program and days for you to give back for the community - Training opportunities and free access to Udemy - Flexible benefits program