Hello and thank you for your interest! We're looking for folks nationwide who are great at data entry and typing. We offer a flexible work from home remote position that allows you to stay home with the family! The pay range is flexible from $16/ph to $30/ph DOE and level of experience. You'll meet these requirements to work from home remotely • Stable Internet connection • Work can be done using the following: Phone device, laptap or computer • Must be able to type accurately with a minimum speed of 30 words per minute • Able to focus on tasks without being distracted • Must be resident of the US • Not afraid of emailing clients as needed We're looking for folks who we can depend on who can work from home remotely without distraction and are go-getters. Pay range from 16 to 30 hourly depending on the role, level of experience and proven ability to work from home at the same level as from an office. Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more • Must be 16 year of age or older • Must be proficient with basic PC skills • Must have an internet connection • Basic english written language • Basic english spoken language Thank you for your interest!

Work Location Type: Hybrid Req Number 327423 About Grainger W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenance, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit www.grainger.com. Compensation The anticipated base pay compensation range for this position is $134,100.00 to $223,500.00. Rewards and Benefits With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including: - Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing. - 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year. - 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required. - Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools. - Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents. For additional information and details regarding Grainger's benefits, please click on the link below: https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills. The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above. Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law. This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position. Position Details The Manager, Data Engineering leads the team in defining and evolving a modern, cloud‑native data engineering vision while developing scalable platforms and reusable tooling. The leader mentors and grows data engineers, elevating technical quality, operational rigor, and measurable business impact. The role builds and maintains reliable data platforms and primitives that enable machine learning, analytics, and finance teams to operate independently through consistent patterns, tooling, and observability. The Manager also partners across machine learning, analytics, finance, and broader data engineering groups to align architectures, uphold governance, and deliver production‑ready data products that balance flexibility with reliability. You Will - Defines and evolves the data engineering vision by setting modern, cloud‑native standards that ensure scalable platforms and reusable tooling, enabling teams to build solutions faster and with greater consistency. - Leads, mentors, and grows the data engineering team by developing technical capability and operational rigor, raising engineering quality so the organization delivers more reliable and impactful data outcomes. - Builds and maintains core data platforms and primitives in ways that remove friction for machine learning, analytics, and finance partners, ensuring they can access trustworthy, production‑ready data when they need it. - Establishes reusable patterns, tooling, and observability frameworks that empower practitioners to independently build, operate, and extend robust data and ML pipelines, reducing dependency bottlenecks. - Partners with machine learning, analytics, finance, and peer data engineering groups to align architectures and standards, ensuring cohesive roadmaps and clear ownership that accelerate enterprise‑wide data progress. - Drives well‑governed, production‑ready data products by balancing flexibility with reliability, enabling measurable business and model impact through high‑quality, scalable data assets. You Have - Bachelor's Degree or equivalent experience in Computer Science, Data Engineering, Data Science, Software Engineering, or a related technical field required - Master's Degree preferred - 5+ years leading data engineering efforts in complex, cross-functional environments supporting ML and analytics workloads required - Direct people leadership experience required. - Proven ability to lead and stay hands-on building and operating cloud-native data platforms: Airflow (or similar) orchestration, Kafka streaming, and RDBMS foundations (e.g., PostgreSQL). - Experience with lakehouse/warehouse solutions (e.g., Databricks/Delta, Snowflake) and production-grade platform practices (CI/CD, monitoring, security). - Demonstrated ability to set technical direction and influence architecture beyond your immediate team. - Proven commitment to mentoring, upskilling, and building high-leverage engineering teams. - Pragmatic mindset: able to balance opinionated defaults with flexibility and build tools that teams want to adopt rather than are forced to use. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance. #LI-remote

DescriptionSilverfort is on a mission to bring identity security everywhere – to every human, machine, and AI agent, both on-prem and in the cloud. Our unique technology secures identities & access at runtime, in ways that weren’t possible before. With the broadest identity security platform in the market, trusted by more than 1,000 customers including many Fortune 100 companies, Silverfort is uniquely positioned to lead the fast-growing identity security category. Joining Silverfort means becoming part of a fast-moving team with a culture of innovation and collaboration, that goes above and beyond to help our customers and each other, on a journey to reshape the future of identity security. We are seeking a Senior Data Engineer to join our R&D organization as part of a backend-oriented team, responsible for building and scaling the core data infrastructure. In this role, you will design and develop data pipelines that stream and process data directly from production systems. You will play a key role in shaping our data platform, building robust, scalable infrastructure and pipelines using modern technologies, and working hands-on with both new components and existing systems. Responsibilities - Collaborate as a strong team player within a dynamic, cross-functional environment - Design, develop, and maintain scalable data models, Lakehouse architectures, pipelines, and ETL processes - Enhance data workflows to support efficient real-time and batch processing - Work closely with cross-functional teams to understand data requirements and deliver impactful solutions - Stay up to date with the latest data engineering technologies and best practices, continuously improving our data platform Requirements - 6+ years of development experience, including at least 3 years as a Data Engineer - Experience with distributed computing frameworks (e.g., Spark, Flink, EMR)- Must - Experience with Iceberg / Delta Lake / Databricks or similar technologies - Experience designing scalable data storage solutions over object storage (structured and semi-structured data) - Hands-on experience building data pipelines and ingestion systems (batch and/or streaming) - Strong communication skills and ability to work with multiple stakeholders across teams - Proficiency in Python and PySpark- Advantage - Experience in streaming systems and real-time data processing- Advantage - Background in backend engineering or experience working closely with backend teams- Advantage - Experience optimizing data processing performance for cost and efficiency- Advantage

Role Description The Index Business Intelligence group delivers research, reporting and insights that drive strategic and commercial decisions. We track industry trends, competitor activity, and client needs to inform market positioning and drive business growth. We’re seeking a Data Engineer to join the Business Intelligence group with a strong emphasis on data programming, analytics, automation, and repeatable reporting. This is a hands-on role for someone who enjoys working deeply in data—building scalable reporting pipelines, performing market and commercial analysis, and translating stakeholder questions into structured datasets and insights. You will partner cross-functionally with BI, Sales, Product, Research, Finance, Legal, and other stakeholders—serving as a key connector who can turn ambiguous questions into well-defined metrics, robust data logic, and clear outputs. Key Responsibilities - Own the end-to-end development and delivery of recurring reporting, ensuring accuracy, consistency, and timeliness. - Build and maintain automated, code-driven workflows to replace manual reporting processes using Python, R, and SQL. - Develop and maintain scalable analytical products, including compliance summaries, client profiling, KPI scorecards, leadership dashboards, and strategic performance updates. - Create reusable datasets (cleaned, labeled, documented) that enable self-service analytics and consistent definitions across teams. - Implement robust data validation and quality checks (completeness, reconciliations, anomaly detection, and trend monitoring). - Maintain clear documentation for reporting logic, metric definitions, transformations, and assumptions, so analyses are reproducible and scalable. - Communicate technical constraints, tradeoffs, and findings to non-technical stakeholders in clear, practical language. Qualifications - 5+ years of experience in a role centered on data programming, analytics engineering, BI analytics, or advanced data analysis. - Must have advanced proficiency in Python (especially pandas) or R and SQL. - Proven ability to manage large datasets, transform data at scale, and build repeatable data pipelines. - Experience designing automated reporting solutions. - Strong analytical judgment, attention to detail, and ability to independently investigate and resolve data discrepancies. - Proven ability to work cross-functionally and translate stakeholder needs into clear metrics, definitions, and technical implementations. Preferred Qualifications - Experience designing data tagging and labeling frameworks for regulatory or audit use, especially using LLMs. - Familiarity with regulatory reporting requirements specifically within financial services or asset management. - Exposure to international financial regulatory frameworks. Benefits - Health & Wellness: Health care coverage designed for the mind and body. - Flexible Downtime: Generous time off helps keep you energized for your time on. - Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. - Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. - Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families. - Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.