
10,000+ employees
🤝 B2B
📣 Marketing
B2B • Marketing
2020 Companies is one of the premier outsourced sales and marketing agencies in the United States. With over 31 years of experience, the company is dedicated to elevating consumers, team members, and clients through innovative marketing strategies. They specialize in product demonstrations, training, assisted sales, merchandising, staffing, and consumer engagement, among other services. 2020 Companies partners with brands of all sizes to navigate challenges and achieve business goals, consistently delivering impressive results, including over 25 million in-person impressions annually and nearly $10 billion in client revenue.
🔥 0 minutes ago
🤠 Texas – Remote
⏰ Full Time
🟢 Junior
🟡 Mid-level
🚰 Data Engineer
🚫👨🎓 No degree required
👻 Ghost score 10%
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10,000+ employees
🤝 B2B
📣 Marketing
B2B • Marketing
2020 Companies is one of the premier outsourced sales and marketing agencies in the United States. With over 31 years of experience, the company is dedicated to elevating consumers, team members, and clients through innovative marketing strategies. They specialize in product demonstrations, training, assisted sales, merchandising, staffing, and consumer engagement, among other services. 2020 Companies partners with brands of all sizes to navigate challenges and achieve business goals, consistently delivering impressive results, including over 25 million in-person impressions annually and nearly $10 billion in client revenue.
• Develop and maintain reliable Microsoft Fabric pipelines and notebooks for analytics and reporting • Implement incremental loads, watermarking, and merging logic • Design ingestion patterns for rapid onboarding of new clients • Engineer monitoring and observability to prevent SLA breaches • Ensure data quality and reliability across datasets • Implement Bronze/Silver/Gold Medallion architecture • Design dimensional models for revenue-focused analytics • Design reusable, scalable data structures across multiple clients • Optimize partitioning and storage for predictable performance • Improve Direct Lake and Power BI semantic model performance • Reduce refresh times and memory usage • Collaborate with BI developers to maintain modeling standards • Monitor Fabric capacity usage and workload patterns • Optimize refresh strategies and reduce compute spikes • Contribute to GitHub workflow and future dbt integration roadmap • Collaborate with BI developers, analysts, and stakeholders • Translate requirements into features and user stories • Participate in agile ceremonies • Explain technical decisions and obtain prioritization and approval before execution • Create lightweight documentation • Follow SDLC practices, including Git, CI/CD, and code reviews • Deliver iteratively with high quality and predictability • Ship frequently in small batch sizes
• 2–5 years of data engineering experience • Strong SQL, data modeling, and hands-on Delta Lake experience • Microsoft Fabric experience • Dimensional modeling experience • Power BI semantic model optimization experience • Experience building scalable ingestion frameworks • Track record in client-facing or revenue-driven analytics environments • Critical thinking and data-informed decision-making skills • Strong collaboration and teamwork skills • Exceptional written and verbal communication skills • Experience working in agile environments using features and user stories • Applicants must be authorized to work in the United States full-time without current or future visa sponsorship • Preferred: dbt experience • Preferred: GitHub-based development workflows and CI/CD experience • Preferred: Agile mindset and development experience
• Competitive salary, paid weekly • Next-day pay on demand with DailyPay • Health/Dental/Vision benefits • 401K Program with matching • Paid Time Off • Paid Holidays • Scholarship opportunities for employees and direct family members • Employee Assistance Program • Leadership Development Program • Personal development opportunities • Professional stretch assignments • Long-term career pathing options
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