Senior Data Engineer

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Resilient Co.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🤝 B2B

👥 HR Tech

☁️ SaaS

B2B • HR Tech • SaaS

Resilient Co. is a technology consulting and recruiting firm focused on supporting the growth of startups and organizations within the IT market. With a diverse and experienced team, the company offers a range of services including talent acquisition, coaching, and training tailored to the needs of tech clients. Operating with a 'Remote First' culture, Resilient Co. emphasizes collaboration and adaptability to navigate the challenges of the technology recruitment landscape, positioning itself as a strategic partner for businesses looking to build strong tech teams.

📋 Description

• Design and build scalable data pipelines to ingest, transform, and curate data from APIs, databases, files, and event streams. • Lead technical design reviews and translate complex business needs into enterprise-grade data solutions. • Develop and optimize advanced data models (dimensional, data vault, domain-driven, canonical) to support analytics, BI, and productized datasets. • Champion SDLC best practices, continuous delivery, and infrastructure automation using CI/CD and Infrastructure as Code. • Optimize complex distributed workloads using SQL, Python; mentor others on tuning and scalable design patterns. • Build reusable data frameworks, libraries, and reference architectures to accelerate team productivity and platform adoption. • Perform root-cause analysis for major data incidents, lead long-term remediation, and drive operational reliability improvements. • Provide technical mentorship, guide code reviews, and help shape engineering capability maturity. • Collaborate with Architects, Data Leads, Product Owners, and cross-functional engineering teams to define long-term data strategies. • Perform other duties as assigned.

🎯 Requirements

• 5 to 7+ years of experience in data engineering or a related technical field. • Expertise in SQL and advanced proficiency in at least one programming language, Python preferred. • Strong experience designing and tuning distributed data processing systems at scale. • Proven experience designing and implementing complex data models across multiple business domains. • Strong knowledge of version control, CI/CD, DevOps/DataOps, automated testing, and engineering best practices. • Ability to lead cross-functional engineering initiatives and influence technical roadmaps. • Strong problem-solving, debugging, and analytical skills in complex, multi-system environments. • Extensive hands‑on experience building scalable pipelines and workflows in Databricks (Delta Lake, Spark, Unity Catalog, Jobs, Workflows).

🏖️ Benefits

• Engagement Length: 12 months or more • Time Zone: CST (9am - 5pm) • Laptop: BYOD. • Overtime Required: Very unlikely. In the unlikely event that they ask for some "on call" hours during the week the OT rate is 1.5x the regular rate