• Develop, implement, and evolve transactional and analytical data structures. • Build data pipelines, integrations, and transformation processes between different systems and information sources. • Support the migration of solutions currently based on SharePoint to a modern, robust, and scalable architecture. • Develop, optimize, and maintain SQL queries, stored procedures, and database schemas. • Prepare and structure analytical layers for consumption in Power BI dashboards and reports. • Ensure data quality, integrity, performance, governance, and reliability. • Work in partnership with solution architects, analysts, and business stakeholders to implement solutions aligned with company needs. • Contribute to the adoption of best practices for version control, deployment automation, and governance of data assets.

Role Description As a Data Engineer II, you will be a key contributor to Reach's data platform modernization efforts. Working closely with Data Engineering, Analytics, Product, and Platform Engineering teams, you will design, build, and maintain reliable data pipelines, transformations, and models that power reporting, analytics, and operational decision-making. This role is ideal for an engineer who can independently deliver solutions to well-defined problems, participate in technical design discussions, and continuously improve the quality and reliability of our data ecosystem. What You'll Do - Design, build, and maintain scalable data pipelines, transformations, and data models using modern ELT practices - Participate in incident response and operational support activities, including occasional off-hours coverage for critical production issues, data incidents, and major platform deployments - Develop and support data assets that enable reporting, analytics, and operational workflows - Participate in technical design discussions and contribute to implementation planning and solution documentation - Collaborate with analysts, data scientists, software engineers, and business stakeholders to understand requirements and deliver effective data solutions - Troubleshoot data quality, reliability, and performance issues across data pipelines and systems - Monitor and improve existing implementations by identifying gaps, inefficiencies, and opportunities for automation - Contribute to engineering best practices around testing, version control, documentation, and data quality - Support deployment and maintenance of data pipelines through established CI/CD processes - Participate in code reviews and provide constructive feedback to peers - Continuously develop technical expertise and apply new tools, techniques, and approaches where appropriate Qualifications - 3–5 years of hands-on experience in Data Engineering, Analytics Engineering, or a related data-focused role - Experience working in a product-oriented data squad, partnering closely with Product, Analytics, and Engineering to deliver end-to-end data solutions and data products - Experience working with modern data platforms and tools such as dbt (Core or Cloud), Amazon RDS, PostgreSQL, or similar technologies; strongly preferred: experience with Snowflake (our primary data warehouse platform) - Strong SQL skills with experience developing data transformations and data models - Experience building and maintaining ETL/ELT pipelines - Experience with Python or a similar programming language - Understanding of data modeling, warehousing concepts, and relational databases - Experience using Git-based development workflows - Ability to independently manage assigned workstreams and deliver high-quality solutions - Strong communication, collaboration, and problem-solving skills - Demonstrated ability to learn new technologies, tools, and business domains and apply them effectively Nice to Have - Experience preparing and modeling data for analysis in Tableau, Sigma, or other BI tools - Experience with reverse ETL / data activation tools such as FiveTran activations, Hightouch, etc. - Familiarity with dbt coding conventions and Medallion data architecture (i.e. Bronze, Silver, Gold data layers) - Experience working in the Financial Services industry and familiarity with working in a SOC2 and PCI-DSS environment Success in This Role - Independently deliver reliable solutions to defined business and technical problems - Balance implementation speed with maintainability and long-term platform health - Create well-structured solutions to known problems and navigate moderate ambiguity - Identify risks within their work and proactively propose mitigations - Effectively troubleshoot user and system issues while contributing to continuous improvement - Expand their technical expertise and apply new learnings to improve outcomes - Collaborate effectively with stakeholders and engineering partners to clarify requirements and deliver value - Contribute positively to team culture through knowledge sharing, collaboration, and constructive feedback Benefits - Remote First Culture with optional Hybrid opportunities - Healthcare, Life Insurance, 401k Match - Paid Time Off, Paid 12-week Parental Leave - Disability (short-term, long-term), Employee Assistance Program - Spending Accounts (Transit/Parking, Medical, Dependent Care) - Insurance Discounts (home, auto, pet) Location - Continental US and Canada - Willing to attend online meetings with staff that are mainly in Eastern and Central time zones - Able to travel to NYC periodically (e.g., 1-2 times a year)

Role Description Join NEXCOM for an exciting 18-month project supporting Ecommerce, digital content, and enterprise marketing operations in a fast-paced collaborative environment. This short-term position offers benefits and is eligible for remote work. Please note: internally within NEXCOM, this role will be classified as a CONTENT PRODUCTION MANAGER. Position has responsibility for collecting, organizing, formatting, and editing all content for different NEXCOM system-wide marketing channels, including but not limited to: - Catalogs - Circulars - Tabloids - Flyers - Web - Social media - Email In addition, the position has responsibility for the development, implementation, communication, and enforcement of all technical content standards. Duties and Responsibilities - Supports Ecommerce Merchandising Director for overall company and web business strategies and vision. - Creates strategic initiatives to enhance overall content. - Able to use key business and user insights to create a long-term vision for generated content, including: - Conducting content audits - Qualitative and quantitative research - GAP analyses - SWOT analyses - Establishes and enforces content standards across marketing channels. - Implements process improvements that are competitive and relevant in the marketplace. - Manages web items without content lists to ensure team productivity and efficient task completion. - Manages project schedules for deliverables and deadlines according to weekly marketing cadence. - Assists with web content tasks during high-output timeframes and special projects. - Collects, organizes, formats, and edits copy content, including web product photos. - Loads copy, video, and size chart content into Oracle program BCC. - Loads daily images formatted to standards into FTP. - Loads video to organization YouTube channel. - Available on call for web changes, corrections, or issues with web store items or content. - Uses site metrics, customer feedback, and related data to identify focus areas and opportunities that improve customer experience. - Stays informed of competitors’ strengths and weaknesses to identify opportunities for NEX. - Maintains expertise on industry trends through advanced training and development to drive innovation. Team Responsibilities - Supervises all Content Management Specialists. - Manages and delegates workload among content team members. - Acts as liaison between content and buying teams as needed. - Trains new associates using established best practices for processes, procedures, and systems. - Reports pending items without content to management when needed. - Responsible for development and continuous training of content team, encouraging growth and future opportunities within the organization. - Acts as a subject matter expert (SME) on technical projects and provides testing support as needed. - Collaborates with Web Merchandising, Marketing, and Graphic departments to execute content strategies. Technical Skills - High proficiency with Microsoft Office, specifically Excel. - Experience with Ecommerce platforms and systems preferred, such as Oracle products. - Understands HTML requirements for web content and web panels. - Expected to remain knowledgeable through ongoing technical training according to industry standards. - Performs other related duties as assigned. Qualifications - 5 years experience in administrative professional technical or other responsible work which enabled the applicant to perform writing techniques and practices. - Demonstrates skill in dealing with other associates, analyzing problems, and recognizing solutions using sound judgment. - OR SUBSTITUTION OF EDUCATION FOR EXPERIENCE: One year of related academic study above the high school level may be substituted for 9 months of experience up to a maximum of a four-year bachelor’s degree for three years of general experience. - AND SPECIALIZED EXPERIENCE: 2 years of experience writing, editing copy, and manipulating, correcting images using a creative software suite which provided background in: - Type fonts and fitting copy to page layouts. - Color correcting and editing images. - Meeting all printer standards on digital files. - Meeting multiple interim and final deadlines for simultaneous projects. - Clearly articulating procedures and priorities to other associates. - AND SUPERVISOR EXPERIENCE: 2 years of experience managing, training, and developing a team.

• Develop and execute well-defined data engineering tasks — creating and modifying data models, writing ingestion scripts, and updating transformations following engineering standards • Orchestrate data flow through PrizePicks' medallion lakehouse architecture: Landing-Bronze-Silver-Gold • Deploy, execute, and monitor data jobs and workflows, respond to failures following established runbooks during oncall • Author robust Python and SQL code following team conventions, with guidance on style, structure, and testing • Adhere to team standards for model organization, naming, and documentation • Conduct code reviews - give and receive feedback constructively • Implement unit tests and adopt what good test coverage looks like for data pipelines • Own assigned pipeline tasks - follow through, communicate blockers early, and see work to completion • Collaborate actively in agile rituals and team discussions • Document technical builds: models, runbooks, and decisions. Share learnings with the team. • Partner with Analytics, MLE, and Product stakeholders to understand how the data you produce gets used and find opportunities to better serve stakeholders.