Lead Data Engineer
$125k - $207k84.51˚
84.51 Overview:84.51 is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51 Insights, 84.51 Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.84.51 follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.Join us at 84.51!__________________________________________________________PLEASE NOTE:Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United Stated and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).LEAD DATA ENGINEERSUMMARY:As a Lead Data Engineer, you will design and implement solutions to ingest, store, transform, and distribute big data on Azure Cloud. Our developers use Databricks (Spark, SQL, PySpark), Databricks Workflows, Python, JSON, and SQL to build products, tools, and features that power customer personalization at scale. Communication and Collaboration with Product and Data science are critical to success and are expected for this role to be successful.RESPONSIBILITIES:Take ownership of features and drive them to completion through all phases of the entire 84.51 SDLC. This includes external facing and internal applications as well as process improvement activities such as:*Develop Business Domain understanding, bridges this to technical stakeholders*Sets technical strategy in partnership with Data Science, Product, Architecture, and Kroger partners*Oversees team(s) of Engineers including operations and development, blended Offshore/Onshore*Provide mentoring to junior resources*Lead design and development of Databricks-based solutions*Perform development of REST APIs hosted in Kubernetes*Execute unit and integration testing*Collaborate with senior resources to ensure consistent development practices*Bring new perspectives to problems and be driven to improve yourself and the way things are doneQUALIFICATIONS, SKILLS, AND EXPERIENCE:*Bachelor’s degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program.*5+ years proven ability of professional data development experience*Strong understanding of Agile Principles (Scrum)*5+ years proven ability of developing with Spark (Databricks, PySpark)*Full understanding of ETL concepts and data warehousing concepts*3+ year developing experience with Python*1+ year developing experience with REST APIs*1+ year experience with Kubernetes#LI-SSSPay Transparency and BenefitsThe stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.Below is a list of some of the benefits we offer our associates: Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances. Base Pay Range$125,000—$207,000 USD
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...business leadership in your everyday work? Data Science is where business, innovation and... ...information systems and assets, or lead a strategic supplier in our innovative shared... ...: Work closely with Data and Software Engineering teams to effectively productionize algorithms...Full timeSummer workInternshipWork at officeRelocation- Job Description: Pay Rate: $65 - $70/hour on W2 Notes: should be local to OH or KY TECHNICAL SKILLS Must Have API security Software Application Security Testing (SAST) Software Composition Analysis (SCA) Javascript/NodeJS Python Terraform ...Local areaRemote work
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- Eliassen Group is seeking a Data Engineer on-site in Cincinnati, OH to design, build, and support scalable data solutions using Snowflake, dbt, and SQL. The role involves translating business problems into technical requirements and contributing across the full data lifecycle...
$42.18 - $65.91 per hour
...designing, developing, and supporting enterprise data integration and ETL solutions using IBM... ...Science, Information Technology, Engineering, or related field. 5+ years of hands-on... ...skills. Ability to work independently and lead ETL development activities. Attention to...- Job Role/Title: - Databricks Data Engineer- (8+ Years experience) Contract: Long Term Contract Rate: $50/hr on W2 (Only W2) No C2C Interview Mode: Candidate should go for F2F interview NOTE: Need a very strong Azure Databricks, PySpark, and SQL Job Summary We are seeking...Long term contractContract work
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$35 - $38 per hour
Data Engineer I Apex Systems is seeking a Data Engineer I for a 12‑month contract in Cincinnati, OH (onsite). Base pay range: $35.00/hr - $38.00/hr. Actual pay will be based on skills and experience. About the Role I’m looking for a Data Engineer to join a Data Enablement...Contract work- We’re hiring two Junior Data Engineers to join an Insights squad focused on modernizing and transforming a core Householding (HH) data ecosystem. This team is driving a multi‑year effort to retire legacy systems and deliver a modern, scalable, hybrid data product that...
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