• Support the delivery of customer-facing data shares and listings across platforms • Build an understanding of customer use cases and how Lightcast data is consumed across external data platforms • Translate requirements into epics, user stories, and acceptance criteria • Support backlog prioritization and ensure engineering teams are unblocked and delivering against roadmap commitments • Maintain and publish datasets across Snowflake Secure Shares/Marketplace, Databricks Delta Sharing, BigQuery Analytics Hub, and S3 delivery • Ensure data listings and entitlements are accurate and delivered within SLAs • Support the definition and maintenance of data contracts, including schemas, versioning, and deprecation processes • Monitor data quality (freshness, null values, duplicates) and flag issues • Contribute to product launches through documentation, changelogs, and internal enablement

Boom Entertainment is redefining the way fans engage with sports through innovative, high-quality sports products. Our flagship app, Boom Sports, delivers a fast, fun, and accessible Daily Fantasy Sports experience that’s open to players of all skill levels. To date, players on Boom Sports have won close to $100 million in prizes, and our user base continues to grow as more fans choose Boom as their go-to place to play. Boom is a small team with high standards. We move fast, operate with urgency, and expect high ownership. You will be trusted to figure things out, spot issues early, and drive solutions without heavy process or close oversight. If you want responsibility and work that has real impact, Boom can be an excellent fit. If you prefer a slower pace, highly defined tasks, or being told exactly what to do each day, Boom may not be the right environment. We are seeking a Data Engineer located in Panama. This is a full-time position, and compensation will be set in line with competitive local market rates for this role and level of experience. Responsibilities: - Design, build, and own scalable data pipelines for analytics and reporting. - Integrate datasets from APIs, vendors, and event streams into the data warehouse. - Maintain clear documentation for data models, pipelines, and system architecture. - Write high-quality SQL and optimize database performance across large datasets. - Troubleshoot data issues, including pipeline failures, schema changes, and data-quality gaps. - Define and maintain core business metrics used across analytics, finance, and product. - Analyze user behavior and funnels to support product decisions and growth initiatives. - Handle ad-hoc data requests, analyses, and exploratory investigations. Qualifications: - 4+ years of experience in data engineering with large or complex datasets. - Strong SQL skills and experience with MongoDB or other NoSQL databases. - Hands-on experience with BigQuery and Google Cloud (GCS, Dataflow, Pub/Sub, etc. a plus). - Proficiency in Python (or similar languages) for ETL, orchestration, and data processing. - Experience with data modeling, warehouse design, and scalable data architecture. - Experience leveraging AI coding tools to prototype, debug, write tests, and improve developer velocity while maintaining code quality. - Comfortable in a startup or fast-paced environment. - Familiarity with B2C or growth metrics (CAC, LTV, cohorts, churn, etc.). - Interest in sports is a plus, but not required. This role is not for you if: - You prefer a steady state job where priorities rarely change. - You want highly detailed instructions before starting work. - You are uncomfortable owning deadlines and accuracy without close oversight. - You do not enjoy improving processes, documentation, and structure where gaps exist. If you are excited about this role and confident in your fit, you are welcome, but not required, to reach out to our Director of HR on LinkedIn or email careers@booment.com with a brief note explaining why Boom should hire you for this role. To be considered, candidates must have applied through our portal.

Senior Data Migration Specialist (1099 Contractor) Position Overview As a Senior Data Migration Specialist (1099 Contractor), you will own the data migration workstream for each operating company implementation within Modigent’s Horizons Program — our multi-platform ERP transformation initiative spanning Procore, BuildOps, and Sage Intacct across 13 operating companies. You will design and execute migration strategies, lead mock migration cycles, validate data quality, and ensure every go-live has a clean, tested, and audit-ready data foundation. This high-impact contract role requires deep hands-on ERP data migration experience and the ability to deliver under tight timelines while collaborating closely with the Implementation PM, Business Analysts, and operational teams. Duties and Responsibilities - Lead data migration planning for each OpCo, including migration strategy, data ownership mapping, transformation rules, and cutover planning. - Execute multiple mock migration cycles in staging environments, document results, resolve discrepancies, and obtain business sign-off before production loads. - Perform data readiness assessments on source systems, identifying quality, completeness, and fitness issues early in the process. - Manage direct access to Procore, BuildOps, and Sage Intacct environments to extract, transform, and load data with high accuracy. - Build and maintain the data migration playbook, including procedures, transformation logic, validation criteria, and lessons learned to support scalable internal capability. - Lead data migration activities during cutover windows, resolve issues in real time, and confirm data integrity prior to go-live sign-off. - Collaborate closely with the Sage Intacct SME and other workstream leads to ensure accurate migration of financial and operational data (AR, AP, WIP, project costing, service agreements, etc.). - Document all migration decisions, issues, and resolutions to maintain transparency and support post-go-live operations. Supervisory Responsibilities None (senior individual contributor contract role with significant cross-functional leadership and coordination responsibilities). Requirements/Qualifications - Experience: 6+ years of hands-on ERP data migration experience, including designing strategies, executing mock cycles, and leading cutover activities (not just oversight). - Education: Bachelor’s degree in Information Systems, Accounting, Business, or a related field preferred; equivalent hands-on experience considered. - Physical Demands: Primarily remote/office-based with occasional travel for go-live support; standard office mobility. - Work Environment: Fully remote or hybrid contract role with flexibility for project needs; must be available for cutover windows that may include evenings or weekends. Required Skills - Deep expertise in ERP data migration, including SQL, data transformation tools, ETL processes, and validation techniques. - Direct experience migrating data into at least two of the following: Procore, BuildOps, Sage Intacct, Viewpoint, or comparable construction/ERP platforms. - Strong knowledge of construction accounting concepts (job costing, WIP, AR/AP, retainage, change orders, service agreements). - Proven ability to manage complex data migrations while supporting live operations and multiple implementations simultaneously. - Excellent analytical, documentation, and problem-solving skills with high attention to detail. - Ability to work independently and make critical decisions under pressure during cutover periods. Modigent Overview Modigent is a national leader delivering next-generation infrastructure, technology, and energy solutions through our family of specialized brands in HVAC, plumbing, and controls systems. With a strong coast-to-coast presence and extensive service capabilities, we empower customers, communities, and our over 1,500 team members to thrive with sustainable, efficient commercial building services. Equal Opportunity Statement Modigent is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other protected characteristic. Third-Party Recruitment Policy Modigent and its wholly-owned operating companies will not pay any fees for candidate introductions, resumes, or placements from recruiters, employment agencies, or staffing firms without a prior, signed recruitment agreement specifically authorizing submission for a designated position. Unsolicited resumes or candidate submissions will not obligate Modigent to any payment, and we reserve the right to pursue and hire such candidates without liability. Agencies are requested to refrain from contacting hiring managers directly; all inquiries and submissions must go through our Talent Acquisition team.

• Manage, mentor, and coach a team of Data Engineers & Data Application Administrators, fostering technical growth and collaboration. • Leverage expertise on data engineering development and support for the connection and ingestion of data source systems into Shure’s data lake and Enterprise Data Warehouse system. • Develop data transformations and load data from multiple sources into Shure’s data lake and/or data warehousing layer. • Work on problems of diverse scopes where analysis of data requires evaluation of identifiable factors. • Mentor new associates and lead team in adopting best practices. • Proficiency and hands-on experience with AWS Data Engineering Stack, Snowflake, Informatica IDMC. • Drive CI/CD development and code migration using industry best practices. • Lead Scrum teams under SAFe Agile framework with a strong One Team mindset and accountability culture. • Monitor cloud resource utilization and implement cost optimization strategies. • Knowledge & Experience of AI/ML models and Generative AI techniques for predictive analytics and AI use cases. • Demonstrate good judgment in selecting methods and techniques for obtaining solutions. • Work on automation, monitoring, and continuous improvement for DataOps operations. • Support for Shure’s data governance initiatives. • Network with senior internal and external personnel in own area of expertise. • Quickly learn emerging technologies and industry trends and proactively drive improvements and innovation. • Develop and implement methods and techniques to improve data extract efficiency, quality, and reliability. • Strongly participate in the requirement gathering process with some guidance from Data Engineers for complex integrations. • Work with Data Architects, IT Systems Analysts and Business Data Analysts to design and build flexible, scalable, sustainable data models and analytic solutions that meet business needs. • Convert business requirements into technical solutions leveraging Shure’s data application investments. • Document technical solution proposals and final designs. • Provide high-quality code deliverables that meet the standards, perform technical validation, support functional and user acceptance testing. • Work on continuous process and system improvements to ensure reliability of the data platform. • Provide routine support to business users and functional teams by resolving user Service Desk tickets and Requests in accordance with agreed-upon SLAs. • Document and execute unit test cases and perform unit and regression testing. • Adhere and contribute to general IT processes, procedures, and policies.